1 00:00:13,720 --> 00:00:17,200 Speaker 1: Hello, and welcome to What Goes Up a Weekly markets podcast. 2 00:00:17,560 --> 00:00:20,200 Speaker 1: My name is Mike Reagan, I'm a senior editor at Bloomberg, 3 00:00:20,520 --> 00:00:24,320 Speaker 1: and I'm Emily Graffeo, across asset reporter at Bloomberg, filling 4 00:00:24,320 --> 00:00:27,200 Speaker 1: in for Build on a Rich and this week on 5 00:00:27,240 --> 00:00:30,240 Speaker 1: the show. Well, if you wanted to pick a single 6 00:00:30,400 --> 00:00:33,839 Speaker 1: day of market action to serve as a microcosm for 7 00:00:33,880 --> 00:00:37,240 Speaker 1: the whole year, we got it. This week, stocks, bonds, 8 00:00:37,240 --> 00:00:40,720 Speaker 1: and currency markets all had a collective freak out over 9 00:00:40,800 --> 00:00:45,320 Speaker 1: this stubbornly high inflation. This after August consumer price index 10 00:00:45,400 --> 00:00:48,239 Speaker 1: came in a bit hotter than economists had expected, but 11 00:00:48,320 --> 00:00:50,920 Speaker 1: it really highlighted what a tricky year it's been for 12 00:00:51,000 --> 00:00:55,760 Speaker 1: balanced portfolios that invest in both stocks and bonds. So 13 00:00:55,800 --> 00:00:59,000 Speaker 1: how are managers of those funds dealing with this year's turbulence. 14 00:00:59,400 --> 00:01:01,640 Speaker 1: We'll get into with with a fund manager with a 15 00:01:01,680 --> 00:01:05,240 Speaker 1: balance fund who's beating his benchmark pretty nicely this year. 16 00:01:05,920 --> 00:01:08,319 Speaker 1: But first, Emily, I gotta say thank you for filling 17 00:01:08,440 --> 00:01:11,440 Speaker 1: in for Vildonna, who's off again this week. Even though 18 00:01:11,480 --> 00:01:15,560 Speaker 1: this is going to cause even more anxiety for Valdonna herself, 19 00:01:15,600 --> 00:01:19,039 Speaker 1: I appreciate it. Yeah, no problem, you'd think, you know, 20 00:01:19,080 --> 00:01:21,080 Speaker 1: she would go on that vacation and she would be 21 00:01:21,080 --> 00:01:24,240 Speaker 1: more relaxed. But I'm not sure if that is the case. 22 00:01:24,920 --> 00:01:26,720 Speaker 1: We'll work on it. But the only rule you have 23 00:01:26,800 --> 00:01:28,880 Speaker 1: to know, Emily, the only ground rule for a co 24 00:01:29,000 --> 00:01:32,000 Speaker 1: host is you have to laugh enthusiastically at my jokes, 25 00:01:32,880 --> 00:01:35,720 Speaker 1: which I will absolutely and because I will add you 26 00:01:35,760 --> 00:01:40,440 Speaker 1: to my professional network on LinkedIn. Yes, yes, finally, finally, 27 00:01:41,120 --> 00:01:44,280 Speaker 1: because I gotta say Vldonna is not very good at 28 00:01:44,360 --> 00:01:46,760 Speaker 1: that requiremental laughing at my jokes. I think it's a 29 00:01:47,000 --> 00:01:49,240 Speaker 1: you know, she eats nothing but califlower. I think it's 30 00:01:49,240 --> 00:01:53,280 Speaker 1: a it's a protein deficiency or some kind of vitamin deficiency. 31 00:01:53,320 --> 00:01:55,360 Speaker 1: That that's the story I'm going with. Yeah, yeah, too 32 00:01:55,360 --> 00:01:59,800 Speaker 1: many chickpeas, not enough meat. But one next, she's great 33 00:01:59,800 --> 00:02:02,120 Speaker 1: at and she has a great journalist, and she's great 34 00:02:02,360 --> 00:02:07,320 Speaker 1: at finding excellent guests for this podcast, including this week. 35 00:02:07,920 --> 00:02:11,639 Speaker 1: She brought this week's guests on and then abandon us. 36 00:02:11,639 --> 00:02:13,760 Speaker 1: But um, we're very excited to have them. Money tell 37 00:02:13,840 --> 00:02:16,600 Speaker 1: tell the listeners who this week's guest is. So today 38 00:02:16,639 --> 00:02:19,480 Speaker 1: on the show, we have George Cippolini, and he is 39 00:02:19,600 --> 00:02:23,760 Speaker 1: a portfolio manager of Pen mutual asset Management, and he 40 00:02:23,840 --> 00:02:28,000 Speaker 1: also co leads the management of the balanced income strategy 41 00:02:28,120 --> 00:02:30,520 Speaker 1: at the firm. So, George, welcome to the show. And 42 00:02:31,120 --> 00:02:33,079 Speaker 1: most exciting is you're a Philly guys. So the most 43 00:02:33,080 --> 00:02:36,280 Speaker 1: important first question is you gotta give us your cheese 44 00:02:36,280 --> 00:02:39,919 Speaker 1: steak place. What's your what's your favorite cheesesteake place? Okay, 45 00:02:39,960 --> 00:02:41,200 Speaker 1: so I'm going to give a little bit of a 46 00:02:41,280 --> 00:02:44,440 Speaker 1: nuanced answer if that's okay. It's definitely not Pats and Gino's, 47 00:02:44,480 --> 00:02:46,720 Speaker 1: which a lot about out of town or tend to like, 48 00:02:47,360 --> 00:02:50,560 Speaker 1: um loved love John's Rose Pork, which again in the 49 00:02:50,639 --> 00:02:52,640 Speaker 1: name it says rose pork and not cheese steaks. But 50 00:02:52,680 --> 00:02:55,280 Speaker 1: they make a great cheese steak. But the best sandwich 51 00:02:55,280 --> 00:02:57,400 Speaker 1: in Philly, if anyone wants to go, it's in the 52 00:02:57,400 --> 00:03:00,080 Speaker 1: writing Terminal market and you go to the Nicks and 53 00:03:00,120 --> 00:03:02,960 Speaker 1: you get a brisket of beef sandwich. It's outrageous, it's 54 00:03:03,000 --> 00:03:05,519 Speaker 1: even I mean, I think it's better than a Energies steak. 55 00:03:06,400 --> 00:03:09,799 Speaker 1: That's my crest. I'll accept that answer. Actually, I you know, 56 00:03:09,880 --> 00:03:11,600 Speaker 1: I've heard about that place for years and I don't 57 00:03:11,600 --> 00:03:15,200 Speaker 1: think I've ever actually had The next roast beef. But good, 58 00:03:15,320 --> 00:03:18,240 Speaker 1: that's some good, solid research, Philly research right there, Emily, 59 00:03:18,240 --> 00:03:20,920 Speaker 1: this guy knows what he's talking about. Yeah, that sounds 60 00:03:21,120 --> 00:03:23,440 Speaker 1: that sounds delicious. I think we'll have to have another 61 00:03:23,480 --> 00:03:29,000 Speaker 1: episode where we just talk about brisket and yes, yes, absolutely, 62 00:03:29,000 --> 00:03:31,560 Speaker 1: But George, why don't you start us off and talk 63 00:03:31,639 --> 00:03:34,200 Speaker 1: a little bit about your current role um and your 64 00:03:34,200 --> 00:03:36,480 Speaker 1: background and how you got to you know, where you 65 00:03:36,480 --> 00:03:41,480 Speaker 1: are today at Pen Mutual. Sure, absolutely so a little 66 00:03:41,480 --> 00:03:44,440 Speaker 1: bit of a different path than I think most portfolio 67 00:03:44,480 --> 00:03:46,600 Speaker 1: managers in terms of getting to where I am today 68 00:03:46,640 --> 00:03:49,080 Speaker 1: at Pen Mutual, which we're at a great place and 69 00:03:49,120 --> 00:03:51,400 Speaker 1: we're grateful to be here. But but I grew up 70 00:03:51,400 --> 00:03:55,000 Speaker 1: doing concrete work with my family in Philadelphia. UM, at 71 00:03:55,040 --> 00:03:57,560 Speaker 1: around nineteen years old. I didn't take my S A 72 00:03:57,640 --> 00:03:59,880 Speaker 1: T S. I didn't do any of that good stuff, 73 00:04:00,040 --> 00:04:02,840 Speaker 1: no plans to go to college. Then I met my wife, 74 00:04:02,880 --> 00:04:06,480 Speaker 1: who's from South Philadelphians, pretty strong willed, and and she said, 75 00:04:06,520 --> 00:04:08,320 Speaker 1: you're going to go to college, and so I did. 76 00:04:08,440 --> 00:04:11,080 Speaker 1: I listened and um, and you know, it was a 77 00:04:11,120 --> 00:04:13,360 Speaker 1: great path for me, who ended up going to uh 78 00:04:13,400 --> 00:04:17,200 Speaker 1: A junior college, transferred over to Drexel University, worked on 79 00:04:17,240 --> 00:04:19,840 Speaker 1: the floor of the Philly Stock Exchange back in the 80 00:04:19,920 --> 00:04:23,599 Speaker 1: late nineties. So um, really the the inception of my 81 00:04:23,680 --> 00:04:26,719 Speaker 1: career was very much impactful to me, as it is 82 00:04:26,760 --> 00:04:29,360 Speaker 1: to most young people in terms of I got to 83 00:04:29,400 --> 00:04:32,400 Speaker 1: see an incredible boom in terms of the tech bubble 84 00:04:32,480 --> 00:04:34,719 Speaker 1: and then a bust after and so that really was 85 00:04:34,760 --> 00:04:37,719 Speaker 1: the inception of my career, which kind of led me 86 00:04:37,800 --> 00:04:42,360 Speaker 1: to fortune. Fortunately to a small little investment shop called 87 00:04:42,360 --> 00:04:44,800 Speaker 1: the Killing Group in Berwin, p A. It was at 88 00:04:44,839 --> 00:04:47,560 Speaker 1: break even at the time. We got no bosses our 89 00:04:47,640 --> 00:04:51,040 Speaker 1: first few years in the business um, but but eventually 90 00:04:51,080 --> 00:04:53,640 Speaker 1: we grew this small little income fund called the Berwin 91 00:04:53,680 --> 00:04:57,320 Speaker 1: Income Fund from about forty fifty million in assets all 92 00:04:57,360 --> 00:04:58,919 Speaker 1: the way up to two and a half billion in 93 00:04:58,960 --> 00:05:03,200 Speaker 1: assets u at at peak. And what we did was 94 00:05:03,240 --> 00:05:05,120 Speaker 1: a little different. We were a little off the beaten 95 00:05:05,279 --> 00:05:08,800 Speaker 1: beaten path in terms of our strategy. We were a 96 00:05:08,800 --> 00:05:11,919 Speaker 1: small firm with twelve people, so we were very independent minded, 97 00:05:12,480 --> 00:05:16,160 Speaker 1: very long term focus, traditional value investors. And what we 98 00:05:16,200 --> 00:05:19,400 Speaker 1: did was our director of research, Leader Out, had this 99 00:05:19,520 --> 00:05:22,240 Speaker 1: great investment process and I just kind of took it 100 00:05:22,640 --> 00:05:24,599 Speaker 1: um from what he did on the equity side and 101 00:05:24,640 --> 00:05:27,560 Speaker 1: applied it to the world of income and the fixed 102 00:05:27,560 --> 00:05:30,360 Speaker 1: income and the high owned bonds and investment grade bonds 103 00:05:30,360 --> 00:05:33,960 Speaker 1: and preferred stocks and convertible bonds, and the process really worked. 104 00:05:34,120 --> 00:05:38,400 Speaker 1: It's a it's a strategy that's differentiated in terms of 105 00:05:38,480 --> 00:05:41,320 Speaker 1: we are very flexible. We can invest across market caps, 106 00:05:42,040 --> 00:05:45,479 Speaker 1: we can invest across the company's capital structure, and with 107 00:05:45,640 --> 00:05:49,200 Speaker 1: the sole goal really of just adding value within this universe. 108 00:05:49,240 --> 00:05:52,479 Speaker 1: We don't want we don't want necessarily the highest building securities. 109 00:05:53,040 --> 00:05:55,680 Speaker 1: We want the companies with and securities with the best 110 00:05:55,680 --> 00:05:59,039 Speaker 1: balance of risk and reward. Um in terms of that 111 00:05:59,800 --> 00:06:02,839 Speaker 1: uh um, you know that whole direction. So that's a 112 00:06:02,839 --> 00:06:04,880 Speaker 1: little quick and dirty. I ended up at Pen Mutual 113 00:06:05,000 --> 00:06:07,440 Speaker 1: just just a few years ago. Um, you know, we 114 00:06:07,520 --> 00:06:10,080 Speaker 1: sold our firm, the Killing Group, And and after taking 115 00:06:10,120 --> 00:06:12,880 Speaker 1: some time off, I wanted to stay in the business 116 00:06:12,880 --> 00:06:14,840 Speaker 1: and keep doing this because it really is a passion 117 00:06:15,200 --> 00:06:17,040 Speaker 1: and and and I just felt like I could. I 118 00:06:17,480 --> 00:06:20,640 Speaker 1: still had some uh some guests in the tank, and 119 00:06:20,640 --> 00:06:23,920 Speaker 1: and and wanted to contribute somewhere And was fortunate enough 120 00:06:23,960 --> 00:06:26,120 Speaker 1: to join Peen Mutual, with which has you know, a 121 00:06:26,200 --> 00:06:30,240 Speaker 1: great staff of over thirty people on the investment team. 122 00:06:30,360 --> 00:06:32,839 Speaker 1: They have a ton of resources manage over thirty billion 123 00:06:32,839 --> 00:06:35,880 Speaker 1: in assets, the bulk of that being the insurance assets, 124 00:06:36,400 --> 00:06:39,679 Speaker 1: and then the resources again from a marketing and support 125 00:06:39,760 --> 00:06:43,560 Speaker 1: standpoint to start a new fund like like like our products. 126 00:06:43,600 --> 00:06:46,359 Speaker 1: So I balanced income. So just really grateful to be 127 00:06:46,400 --> 00:06:48,160 Speaker 1: back in it. And uh, we have a two year 128 00:06:48,200 --> 00:06:51,279 Speaker 1: track record now and so far, so good. We're we're 129 00:06:51,480 --> 00:06:53,560 Speaker 1: you know, very very highly ranked at the moment in 130 00:06:53,640 --> 00:06:56,279 Speaker 1: terms of our morning Star category. And as you both mentioned, 131 00:06:56,640 --> 00:07:01,120 Speaker 1: came right back into some really incredible and at concredible 132 00:07:01,120 --> 00:07:03,680 Speaker 1: times and his dark times for sure. That that's a 133 00:07:03,720 --> 00:07:06,520 Speaker 1: great backstory, George. You know, I'm glad you listen to 134 00:07:06,600 --> 00:07:08,960 Speaker 1: your wife. You know, I's all when friends get married. 135 00:07:09,000 --> 00:07:12,480 Speaker 1: I say. The key too's a successful marriage is you 136 00:07:12,520 --> 00:07:14,560 Speaker 1: have to start off with the assumption the wife is 137 00:07:14,560 --> 00:07:16,800 Speaker 1: always right. You get you gotta listen to her. That 138 00:07:17,120 --> 00:07:18,640 Speaker 1: I haven't talked to many people who worked on the 139 00:07:18,640 --> 00:07:22,120 Speaker 1: Philly Stock Exchange. That's interesting too. What were you like 140 00:07:22,160 --> 00:07:26,080 Speaker 1: a specialist market maker? So I also worked at a 141 00:07:26,120 --> 00:07:30,480 Speaker 1: specialist post for for Susquehanna, which and Mike, let me 142 00:07:30,480 --> 00:07:33,040 Speaker 1: tell you something. You talk about experience, so you know, 143 00:07:33,120 --> 00:07:36,160 Speaker 1: and there is as a you know, young teenager, early twenties. 144 00:07:36,240 --> 00:07:38,640 Speaker 1: And and in the morning we had math class. We 145 00:07:38,680 --> 00:07:40,720 Speaker 1: went to work and they paid for a lunch which 146 00:07:40,760 --> 00:07:43,040 Speaker 1: was awesome, breakfast in lunch Susquehanna is a great shop. 147 00:07:43,480 --> 00:07:46,480 Speaker 1: And then um, and right afterward we would go play poker. 148 00:07:46,880 --> 00:07:49,640 Speaker 1: So I mean, if you if you just think about 149 00:07:49,680 --> 00:07:52,680 Speaker 1: you know, risk rewarding, game theory and math and just 150 00:07:52,720 --> 00:07:55,480 Speaker 1: the application of all that on a daily basis, that 151 00:07:55,640 --> 00:07:59,000 Speaker 1: really stimulated my interest because before that I didn't know 152 00:07:59,080 --> 00:08:02,040 Speaker 1: much about investing at all. And um, but that really 153 00:08:02,080 --> 00:08:06,040 Speaker 1: stimulated my interest in the markets. Uh, my interest especially 154 00:08:06,080 --> 00:08:08,600 Speaker 1: in risk and reward and the behavior of the markets, 155 00:08:08,600 --> 00:08:11,440 Speaker 1: which I think is something that's overlooked and maybe a 156 00:08:11,480 --> 00:08:14,360 Speaker 1: topic we can discuss later. But yeah, it really wasn't 157 00:08:14,400 --> 00:08:17,320 Speaker 1: a great start. And and to your point, always listened 158 00:08:17,320 --> 00:08:23,520 Speaker 1: to your wife, well talking about market behavior, George, what 159 00:08:23,640 --> 00:08:25,960 Speaker 1: a what a crazy week? Um, But what I think 160 00:08:26,080 --> 00:08:27,920 Speaker 1: is funny, you know. I one of the columns I 161 00:08:28,040 --> 00:08:30,280 Speaker 1: edit is, uh, this guy Cameron Christ he writes a 162 00:08:30,320 --> 00:08:35,000 Speaker 1: column called Macroman. He actually took off for a week 163 00:08:35,600 --> 00:08:39,360 Speaker 1: and he came back to work the day after the 164 00:08:39,400 --> 00:08:44,440 Speaker 1: CPI numbers. You know, throw everything upside down, and you know, 165 00:08:44,520 --> 00:08:47,160 Speaker 1: his column was about, like, what did I miss? You know, 166 00:08:47,240 --> 00:08:50,520 Speaker 1: the the equity markets actually exactly where it was before 167 00:08:50,559 --> 00:08:53,600 Speaker 1: I left. Yields are exactly where they were, you know, 168 00:08:53,720 --> 00:08:55,760 Speaker 1: because you had that, you had like this five percent 169 00:08:55,840 --> 00:08:58,080 Speaker 1: run up in the SMP five like in the four 170 00:08:58,160 --> 00:09:01,760 Speaker 1: days before to see p I report on Tuesday. So 171 00:09:02,240 --> 00:09:04,880 Speaker 1: I'm curious how big of a game changer you think 172 00:09:04,920 --> 00:09:11,040 Speaker 1: it was. Um, despite this this massive autility we saw afterwards, 173 00:09:11,679 --> 00:09:14,800 Speaker 1: has that much much changed And you're thinking about, you know, 174 00:09:14,880 --> 00:09:18,160 Speaker 1: the Fed's reaction function for the rest of this cycle. 175 00:09:19,760 --> 00:09:21,680 Speaker 1: So I I think it did my get. And here's 176 00:09:21,679 --> 00:09:24,199 Speaker 1: why I usually don't like short term data points. I 177 00:09:24,240 --> 00:09:26,960 Speaker 1: really like long term data points. But I will say, 178 00:09:27,000 --> 00:09:30,719 Speaker 1: within the context of this week, the market was very 179 00:09:30,800 --> 00:09:32,600 Speaker 1: much geared up. And I don't I don't mean just 180 00:09:32,679 --> 00:09:34,760 Speaker 1: the stock market, the stock market, as you mentioned, but 181 00:09:34,800 --> 00:09:37,800 Speaker 1: also the bond market, even in the preferred market with 182 00:09:37,840 --> 00:09:42,200 Speaker 1: longer duration securities. People were making significant bets that the 183 00:09:42,240 --> 00:09:45,200 Speaker 1: CPI number was going to come in late and and 184 00:09:45,440 --> 00:09:47,440 Speaker 1: the FED was going to back off. And if you 185 00:09:47,480 --> 00:09:50,800 Speaker 1: think about really, for most of this year, the market 186 00:09:50,800 --> 00:09:52,640 Speaker 1: has been waiting for the FED to pivot they've been 187 00:09:52,679 --> 00:09:54,360 Speaker 1: waiting for Poal to give in. And I'm just going 188 00:09:54,400 --> 00:09:56,000 Speaker 1: to say this one thing, and I think I sent 189 00:09:56,080 --> 00:09:58,920 Speaker 1: it to you earlier, and I keep pointing to it. 190 00:09:58,960 --> 00:10:01,840 Speaker 1: There was an exchange when when Pal gave testimony to 191 00:10:01,880 --> 00:10:07,160 Speaker 1: the Senate and Senator Shelby asked him directly, directly back, then, 192 00:10:07,720 --> 00:10:10,040 Speaker 1: is your leadership prepared to do what it takes to 193 00:10:10,040 --> 00:10:13,840 Speaker 1: get inflation under control and protect price stability? And Pal 194 00:10:13,880 --> 00:10:16,800 Speaker 1: gave a very respectful nod to Vulgar and then he said, 195 00:10:16,800 --> 00:10:19,840 Speaker 1: I hope history will record that the answer to your 196 00:10:19,920 --> 00:10:22,400 Speaker 1: question is yes, but the key thing is shall be 197 00:10:22,480 --> 00:10:25,760 Speaker 1: pressed on And he said, are you prepared to do 198 00:10:25,840 --> 00:10:28,400 Speaker 1: what it takes? And Pals gave a little more of 199 00:10:28,440 --> 00:10:31,200 Speaker 1: a sheepish yes, but he did say yes. And I 200 00:10:31,240 --> 00:10:33,360 Speaker 1: think really that's where the line of the line in 201 00:10:33,400 --> 00:10:36,520 Speaker 1: the sand was and and kind of the part where 202 00:10:36,559 --> 00:10:39,000 Speaker 1: the market is kind of missing in terms of the 203 00:10:39,040 --> 00:10:43,240 Speaker 1: expectation that was from March and it's already September. I mean, 204 00:10:43,320 --> 00:10:45,760 Speaker 1: this has been six months now, the market wanting a 205 00:10:45,840 --> 00:10:47,920 Speaker 1: pivot and they're not getting it. So I think to 206 00:10:47,960 --> 00:10:50,920 Speaker 1: your point, in the short term, that really was how 207 00:10:50,960 --> 00:10:53,800 Speaker 1: the market was positioned Over the last month, credit spreads 208 00:10:53,880 --> 00:10:57,320 Speaker 1: rallied a little bit tightened up, and the stock market rallied, 209 00:10:57,320 --> 00:11:00,760 Speaker 1: And I think that's why they really want any indication 210 00:11:00,920 --> 00:11:04,840 Speaker 1: that the FED can kind of shift course. George, I 211 00:11:04,880 --> 00:11:07,280 Speaker 1: feel like all of this talk of are we going 212 00:11:07,320 --> 00:11:10,120 Speaker 1: to have a FED pivot are we not? Has inflation peaked. 213 00:11:10,360 --> 00:11:13,560 Speaker 1: It's led to a lot of near term volatility. But 214 00:11:13,800 --> 00:11:16,520 Speaker 1: one of the big themes for this year is probably 215 00:11:16,520 --> 00:11:19,480 Speaker 1: going to be that bonds have done so poorly, So 216 00:11:19,920 --> 00:11:23,679 Speaker 1: where are you looking for that income? Is it still 217 00:11:23,720 --> 00:11:28,040 Speaker 1: in any part of bonds? Is it dividend stocks? Are 218 00:11:28,040 --> 00:11:31,560 Speaker 1: you looking at cash? Yeah? And and so this is 219 00:11:31,600 --> 00:11:34,800 Speaker 1: this is a great point. And and our perspective, I 220 00:11:34,840 --> 00:11:37,360 Speaker 1: think is a good one, not because we are brilliant 221 00:11:37,400 --> 00:11:40,160 Speaker 1: investors by any stretch, but because we have this flexible 222 00:11:40,160 --> 00:11:42,680 Speaker 1: approach and we are allowed to increase cash and we 223 00:11:42,720 --> 00:11:46,520 Speaker 1: are allowed to wait it out. Last year, as as 224 00:11:46,559 --> 00:11:50,160 Speaker 1: the markets rallied, our cash balance grew and grew up 225 00:11:50,200 --> 00:11:53,160 Speaker 1: to over and so at the end of two thousand 226 00:11:53,160 --> 00:11:55,960 Speaker 1: and one we had in cash over cash. And the 227 00:11:56,000 --> 00:11:59,160 Speaker 1: reason was there wasn't a lot of value there. Credit 228 00:11:59,200 --> 00:12:02,840 Speaker 1: spreads to Titan stock market had gripped um and and 229 00:12:02,880 --> 00:12:05,520 Speaker 1: there just wasn't a lot. So so fortunately we were 230 00:12:05,559 --> 00:12:08,480 Speaker 1: able to We we believe in liquidity. The liquidity is 231 00:12:08,520 --> 00:12:10,960 Speaker 1: like oxygen for us, and when we have it, you know, 232 00:12:10,960 --> 00:12:13,360 Speaker 1: we feel like feel great, I feel like we can breathe. 233 00:12:13,559 --> 00:12:15,200 Speaker 1: And we did well last year. I mean, we were 234 00:12:15,240 --> 00:12:16,920 Speaker 1: up the most ten percent, you know, not in the 235 00:12:17,000 --> 00:12:19,400 Speaker 1: nine percent range, and that was a great ranking in 236 00:12:19,440 --> 00:12:22,520 Speaker 1: our in our category to last year. So it's not 237 00:12:22,600 --> 00:12:25,440 Speaker 1: like we missed out on much. So when the volatility 238 00:12:25,520 --> 00:12:28,160 Speaker 1: kicked in for the most part this year, we had 239 00:12:28,200 --> 00:12:31,360 Speaker 1: liquidity available. And yes, to your point, around the June 240 00:12:31,360 --> 00:12:34,400 Speaker 1: time frame when things really blew out from a spread standpoint, 241 00:12:34,800 --> 00:12:36,520 Speaker 1: we did put some money to work and I'd like 242 00:12:36,559 --> 00:12:38,520 Speaker 1: to talk you know, and I'm sure we'll talk about 243 00:12:38,520 --> 00:12:41,800 Speaker 1: what we bought, uh specifically, not specific names, been in general, 244 00:12:42,080 --> 00:12:44,680 Speaker 1: but just to your point that this market is very, 245 00:12:44,840 --> 00:12:48,120 Speaker 1: very different. So the last eight times that the SMP 246 00:12:48,320 --> 00:12:51,280 Speaker 1: was down in a calendar year, bonds finished up and 247 00:12:51,320 --> 00:12:53,880 Speaker 1: so it cushioned the blow for everybody, and it was, 248 00:12:54,040 --> 00:12:56,959 Speaker 1: you know, diversifier, and we haven't had that to share, 249 00:12:56,960 --> 00:12:59,600 Speaker 1: as you well know. And now bonds are down a 250 00:12:59,679 --> 00:13:04,240 Speaker 1: lot and and this could be the worst year in 251 00:13:04,320 --> 00:13:07,160 Speaker 1: recent history for sure, maybe in many many decades that 252 00:13:07,160 --> 00:13:10,120 Speaker 1: that bonds have been down this much, and that's really different. 253 00:13:10,160 --> 00:13:13,080 Speaker 1: So that correlation rising between stocks and bonds and the 254 00:13:13,160 --> 00:13:16,480 Speaker 1: down market was something that we didn't know that that 255 00:13:16,520 --> 00:13:18,840 Speaker 1: would happen. And that's not why we went to cash. 256 00:13:19,240 --> 00:13:21,640 Speaker 1: But we were glad that we had the cash. And again, 257 00:13:21,720 --> 00:13:24,679 Speaker 1: bonds were so overpriced if you look back now and 258 00:13:24,720 --> 00:13:26,480 Speaker 1: if you look at the yields you can get today 259 00:13:27,200 --> 00:13:29,760 Speaker 1: versus just six months ago. So we're glad that we 260 00:13:29,800 --> 00:13:33,160 Speaker 1: had that flexible process. Yeah, that's a pretty high cash level. 261 00:13:34,200 --> 00:13:44,880 Speaker 1: Said now, George, I'm famous around here for asking like 262 00:13:44,920 --> 00:13:47,920 Speaker 1: twelve part questions. So so I got bad news for you. 263 00:13:47,960 --> 00:13:49,320 Speaker 1: I got one coming for you. Do you have like 264 00:13:49,320 --> 00:13:51,679 Speaker 1: an assistant who can take notes notes on this question? 265 00:13:51,840 --> 00:13:54,000 Speaker 1: I can do it on my own assistant. Let's go, 266 00:13:55,559 --> 00:13:57,840 Speaker 1: But I I'll make it easy for you. I'm just 267 00:13:57,840 --> 00:14:00,520 Speaker 1: gonna I'll just monologue a little bit like here, like 268 00:14:00,559 --> 00:14:02,319 Speaker 1: a villain in a movie, and then you you tell 269 00:14:02,360 --> 00:14:04,559 Speaker 1: me where I'm where I'm wrong, and and what your 270 00:14:04,559 --> 00:14:07,600 Speaker 1: reaction is to what I'm gonna say. Because I'm kind 271 00:14:07,600 --> 00:14:10,200 Speaker 1: of fascinated you know, as you say you you're fund 272 00:14:10,280 --> 00:14:13,520 Speaker 1: you can go your strategy, UH can go as much 273 00:14:13,600 --> 00:14:17,200 Speaker 1: as equities. Looking on your website, you're in a little 274 00:14:17,240 --> 00:14:20,000 Speaker 1: less than thirty percent as of the end of June. 275 00:14:20,080 --> 00:14:24,520 Speaker 1: So not quite bullish on equities, it would seem, um, 276 00:14:24,560 --> 00:14:28,280 Speaker 1: but while fifty one point seven percent in high yield 277 00:14:28,360 --> 00:14:32,560 Speaker 1: corporate credit um And to me, I think that's fascinating. 278 00:14:32,840 --> 00:14:35,040 Speaker 1: We don't have a lot of credit guyes on the 279 00:14:35,080 --> 00:14:38,200 Speaker 1: show as much as we should, so I want to 280 00:14:38,240 --> 00:14:41,680 Speaker 1: sort of unpack what the credit markets are signaling right 281 00:14:41,720 --> 00:14:46,120 Speaker 1: now because um, you know, for equity investors, they often 282 00:14:46,160 --> 00:14:48,440 Speaker 1: look at the high yield market especially it's sort of 283 00:14:48,440 --> 00:14:51,000 Speaker 1: that canary in the coal mine. You know, spreads started 284 00:14:51,000 --> 00:14:55,280 Speaker 1: blowing out before the market top in oh seven, They started, 285 00:14:55,400 --> 00:14:58,640 Speaker 1: you know, creeping higher before the dot com UH bust 286 00:14:58,880 --> 00:15:02,160 Speaker 1: in two thousand. I'm looking this year and at least 287 00:15:02,160 --> 00:15:05,520 Speaker 1: according our index UH, you know, the spread on high 288 00:15:05,560 --> 00:15:09,239 Speaker 1: yield UH corporates right now, according in the Bloomberg indexes, 289 00:15:09,680 --> 00:15:11,960 Speaker 1: I think it's like four hundred and fifty basis points. 290 00:15:12,000 --> 00:15:14,160 Speaker 1: And for listeners who don't know what that means, that's 291 00:15:14,160 --> 00:15:19,640 Speaker 1: basically just the the extra yield on high old bonds 292 00:15:19,640 --> 00:15:23,080 Speaker 1: compared to treasuries. So so, George, to me, that doesn't 293 00:15:23,120 --> 00:15:27,440 Speaker 1: seem like a canary in the coal mine screaming recession 294 00:15:27,560 --> 00:15:29,440 Speaker 1: just yet. You know, the spreads are why a lot 295 00:15:29,480 --> 00:15:31,560 Speaker 1: wider than where they started the year, but they were 296 00:15:31,680 --> 00:15:34,320 Speaker 1: very tight to start the year. So I'm curious, just 297 00:15:34,800 --> 00:15:38,160 Speaker 1: you know, a you know, what are the spreads telling 298 00:15:38,160 --> 00:15:40,680 Speaker 1: you as far as like a macro signal about a 299 00:15:40,760 --> 00:15:44,760 Speaker 1: recession that that investors in other asset classes, uh should 300 00:15:44,800 --> 00:15:47,840 Speaker 1: should be thinking about. But also, you know, the last 301 00:15:47,840 --> 00:15:49,800 Speaker 1: time spreads blew out, it was it was mostly that 302 00:15:49,960 --> 00:15:53,320 Speaker 1: energy sector, uh, that was the driver of that. So 303 00:15:53,440 --> 00:15:55,840 Speaker 1: is that is that signal from the credit markets you 304 00:15:55,840 --> 00:15:59,400 Speaker 1: think broken? Since energy companies um are a big component 305 00:15:59,400 --> 00:16:04,080 Speaker 1: of high yield what they're they're doing really well these days. Wow. 306 00:16:04,240 --> 00:16:08,520 Speaker 1: Excellent question. Many points, and they're all court discussing for sure. 307 00:16:08,840 --> 00:16:10,800 Speaker 1: So so number one, real quick, I think it is 308 00:16:11,200 --> 00:16:14,400 Speaker 1: it's a little misleading when we look at our high 309 00:16:14,480 --> 00:16:17,720 Speaker 1: yield exposure in our strategy. And and the only reason 310 00:16:17,720 --> 00:16:20,360 Speaker 1: why I'll say that is that we generally tend to 311 00:16:20,400 --> 00:16:23,280 Speaker 1: focus on double being single B security, so we really 312 00:16:23,360 --> 00:16:26,000 Speaker 1: don't delve too far down in the triple seas and 313 00:16:26,240 --> 00:16:29,360 Speaker 1: that you know higher of high yield. The second thing 314 00:16:29,440 --> 00:16:31,880 Speaker 1: is our duration is a lot shorter than many of 315 00:16:31,880 --> 00:16:35,640 Speaker 1: the benchmarks. And then the third there is a little 316 00:16:35,680 --> 00:16:37,680 Speaker 1: bit of a cheat code in the in the bond market, 317 00:16:37,800 --> 00:16:40,480 Speaker 1: and and and a great way to add value, especially 318 00:16:40,520 --> 00:16:43,520 Speaker 1: in these types of markets, and so checodes where I 319 00:16:43,520 --> 00:16:45,120 Speaker 1: have a fourteen year old son, so I might throw 320 00:16:45,120 --> 00:16:48,280 Speaker 1: out some like chicoads words or made like they have 321 00:16:48,320 --> 00:16:55,040 Speaker 1: all this yeah yeah, yeah exactly and so so so 322 00:16:55,080 --> 00:16:57,560 Speaker 1: the cheat code in the bond market for me and 323 00:16:57,640 --> 00:17:02,680 Speaker 1: for our strategy is, look, you can find companies, so 324 00:17:02,880 --> 00:17:05,520 Speaker 1: so working you limit risk or working you lower risk 325 00:17:05,520 --> 00:17:08,280 Speaker 1: in a high yield security, Well, you can find certain 326 00:17:08,400 --> 00:17:11,840 Speaker 1: smaller securities because we're we're a small fund at the moment, 327 00:17:12,440 --> 00:17:16,040 Speaker 1: and we can buy these smaller securities, um smaller issues, 328 00:17:16,480 --> 00:17:18,960 Speaker 1: and you can find companies that more cash than debt 329 00:17:18,960 --> 00:17:21,800 Speaker 1: on the balance sheet. That is the ch code. So 330 00:17:22,119 --> 00:17:24,040 Speaker 1: when I go to bed at night, I'm not worried 331 00:17:24,080 --> 00:17:27,400 Speaker 1: about the great majority of the high yield quote unquote 332 00:17:27,440 --> 00:17:31,160 Speaker 1: bonds and our portfolio going bankrupt. I'm not really taking 333 00:17:31,640 --> 00:17:35,280 Speaker 1: a huge bet. I'm getting paid for that extra credit spread. 334 00:17:35,280 --> 00:17:37,639 Speaker 1: But I'm not making a huge bet like the economy 335 00:17:37,680 --> 00:17:40,160 Speaker 1: has to do well. I literally can go to sleep 336 00:17:40,200 --> 00:17:42,640 Speaker 1: at night and I know, for example, that the great 337 00:17:42,640 --> 00:17:45,000 Speaker 1: majority of our bonds are going to get paid off 338 00:17:45,040 --> 00:17:47,480 Speaker 1: because because the cash is already on the balance sheet, 339 00:17:47,800 --> 00:17:50,520 Speaker 1: they're managed by companies that are free cash flow positive 340 00:17:50,880 --> 00:17:54,040 Speaker 1: and manage my management teams that have a great track 341 00:17:54,080 --> 00:17:58,439 Speaker 1: record of capital allocation. And so that's the ultimate margin 342 00:17:58,480 --> 00:18:00,800 Speaker 1: of safety for us. And the good thing there is 343 00:18:00,840 --> 00:18:02,720 Speaker 1: that you know, as Ben Graham said, the purpose of 344 00:18:02,760 --> 00:18:06,160 Speaker 1: the margin of safety is to render the forecast unnecessary, 345 00:18:06,280 --> 00:18:09,280 Speaker 1: and so I don't have to project inflation rates or 346 00:18:09,320 --> 00:18:11,359 Speaker 1: where the where interest rates are going, or what the 347 00:18:11,400 --> 00:18:14,119 Speaker 1: economy is going to do. If you focus on that 348 00:18:14,160 --> 00:18:17,119 Speaker 1: company being able to pay off that piece of debt again, 349 00:18:17,160 --> 00:18:19,399 Speaker 1: you have you eliminate a lot of other concerns. So 350 00:18:19,480 --> 00:18:21,080 Speaker 1: that's one of the cheat codes that we use and 351 00:18:21,080 --> 00:18:23,040 Speaker 1: one of the ways that we've had value over the 352 00:18:23,040 --> 00:18:25,879 Speaker 1: past twenty years of managing this type of strategy. To 353 00:18:25,920 --> 00:18:28,840 Speaker 1: your point, yes, credit credit spreads are absolutely a signal. 354 00:18:29,080 --> 00:18:31,520 Speaker 1: It's something we should all watch out for. I'll give 355 00:18:31,520 --> 00:18:34,879 Speaker 1: you two schools of thought here. Number one, credit spreads 356 00:18:34,960 --> 00:18:39,199 Speaker 1: or wider they should be. Uh. The economic situation, broadly 357 00:18:39,240 --> 00:18:42,000 Speaker 1: speaking from an earning standpoint is a lot more uncertain 358 00:18:42,080 --> 00:18:45,359 Speaker 1: today than it's been in a long time, and so 359 00:18:45,480 --> 00:18:49,119 Speaker 1: credit spreads should be wider now. The flip side of 360 00:18:49,160 --> 00:18:51,679 Speaker 1: that argument is that interest rates were so low for 361 00:18:51,720 --> 00:18:54,800 Speaker 1: so long that many or most companies were able to 362 00:18:54,840 --> 00:18:58,960 Speaker 1: refi it really really low rates, and they extended their debt. 363 00:18:59,640 --> 00:19:02,440 Speaker 1: That balances out. That's good in the near term, so 364 00:19:02,480 --> 00:19:04,639 Speaker 1: I wouldn't expect to see default rates kick up a 365 00:19:04,640 --> 00:19:08,439 Speaker 1: lot in the immediate near term. That said, there are 366 00:19:08,440 --> 00:19:10,800 Speaker 1: a lot of zombie companies, companies that cannot cover their 367 00:19:10,840 --> 00:19:14,600 Speaker 1: interest expense through operating earnings or EVA don that's that 368 00:19:14,720 --> 00:19:17,919 Speaker 1: to me again means that you really need to be 369 00:19:17,960 --> 00:19:20,080 Speaker 1: a good like I would never buy high yield broadly. 370 00:19:20,119 --> 00:19:23,280 Speaker 1: I wouldn't look I'm biased, right, I'm an active manager. 371 00:19:23,440 --> 00:19:25,600 Speaker 1: I wouldn't buy a high yield e t F for 372 00:19:25,640 --> 00:19:28,760 Speaker 1: the sole purpose of I don't trust all the companies 373 00:19:28,800 --> 00:19:30,679 Speaker 1: that are in the e t F. I trust this 374 00:19:30,760 --> 00:19:33,720 Speaker 1: company instead of that company. So that's my view, and 375 00:19:33,760 --> 00:19:35,919 Speaker 1: I feel like we can ferret out and find value 376 00:19:36,000 --> 00:19:39,280 Speaker 1: in that context. Um, but that's just two schools of thought, yes, 377 00:19:39,280 --> 00:19:42,639 Speaker 1: I still think credit spreads are very important indicator. Energy 378 00:19:42,680 --> 00:19:44,520 Speaker 1: is a big part in near point going back to 379 00:19:44,640 --> 00:19:47,399 Speaker 1: fourteen fifteen sixteen, they blew up a lot of the 380 00:19:47,520 --> 00:19:51,760 Speaker 1: energy credits and went bankrupt and and and that's honestly 381 00:19:51,800 --> 00:19:55,120 Speaker 1: been one of the reasons why why that sector has 382 00:19:55,200 --> 00:19:58,560 Speaker 1: kind of stayed so cheap, given how well they've performed 383 00:19:59,119 --> 00:20:02,600 Speaker 1: um this year. So those were just my thoughts on 384 00:20:02,640 --> 00:20:04,600 Speaker 1: those topics. So it's give maybe to dig in further. 385 00:20:05,040 --> 00:20:07,359 Speaker 1: Let me know I I did. I also want to 386 00:20:07,400 --> 00:20:09,840 Speaker 1: ask you, you know when and I know you said, 387 00:20:09,880 --> 00:20:12,119 Speaker 1: you know it's you're not gonna go out on a 388 00:20:12,200 --> 00:20:15,160 Speaker 1: limb and try to predict inflation or pick the path 389 00:20:15,240 --> 00:20:18,280 Speaker 1: of interest rates. But fingers crossed. I think we all 390 00:20:18,359 --> 00:20:20,919 Speaker 1: have to kind of hope that maybe the peaks in 391 00:20:21,040 --> 00:20:23,320 Speaker 1: for inflation at least and if if you're looking out 392 00:20:23,320 --> 00:20:28,360 Speaker 1: over five ten years, you know, uh again fingers crossed. 393 00:20:28,359 --> 00:20:31,440 Speaker 1: But boy, you gotta assume inflation, inflation is gonna come down, 394 00:20:32,040 --> 00:20:35,680 Speaker 1: interest rates are gonna come down with it. So does 395 00:20:36,080 --> 00:20:40,280 Speaker 1: this type of moment in time make you, um, sort 396 00:20:40,320 --> 00:20:42,919 Speaker 1: of bullish on on longer maturities, you know, especially with 397 00:20:42,960 --> 00:20:45,359 Speaker 1: new issues. If if you can lock in a really 398 00:20:45,400 --> 00:20:49,800 Speaker 1: attractive rate for you know, twelve fifteen years. You know, 399 00:20:50,000 --> 00:20:52,400 Speaker 1: does it change your thinking on maturities at all when 400 00:20:52,440 --> 00:20:56,040 Speaker 1: when yields are this high, it's it certainly should so. 401 00:20:56,040 --> 00:20:58,040 Speaker 1: So the way we view it is, obviously we're getting 402 00:20:58,080 --> 00:21:00,080 Speaker 1: paid a lot more now than we were just and 403 00:21:00,119 --> 00:21:03,919 Speaker 1: full of months ago for just about every flavor of 404 00:21:03,920 --> 00:21:07,480 Speaker 1: of income, which is which is great. I think Intel's 405 00:21:07,920 --> 00:21:10,879 Speaker 1: dividend just hit five percent today. For example, Um, if 406 00:21:10,920 --> 00:21:12,760 Speaker 1: you look at short rates, money market rates are going 407 00:21:12,800 --> 00:21:15,479 Speaker 1: to pay about four percent soon. And you know, so 408 00:21:15,520 --> 00:21:17,320 Speaker 1: if you you look at the two year you name 409 00:21:17,359 --> 00:21:20,160 Speaker 1: it across the board. So so to your point, like, yes, 410 00:21:20,359 --> 00:21:23,040 Speaker 1: longer duration. Now, the thing with longer duration bonds is 411 00:21:23,040 --> 00:21:25,239 Speaker 1: that the YO curve is flattening, so those rates are 412 00:21:25,280 --> 00:21:28,480 Speaker 1: not up as much as shorter term rates. Um. So 413 00:21:28,560 --> 00:21:31,159 Speaker 1: that's something that we factor into as well. So the 414 00:21:31,200 --> 00:21:33,760 Speaker 1: way I look at it is what can I get 415 00:21:33,840 --> 00:21:36,000 Speaker 1: for how much risk do I have to assume for 416 00:21:36,040 --> 00:21:39,200 Speaker 1: a certain level of income? And now if I can 417 00:21:39,240 --> 00:21:42,840 Speaker 1: get four or five or six percent from a two 418 00:21:42,960 --> 00:21:46,680 Speaker 1: year convertible bond that's busted, that has a great balance sheet, 419 00:21:47,160 --> 00:21:49,879 Speaker 1: you know, that really might be my my bar. So 420 00:21:50,080 --> 00:21:53,919 Speaker 1: so my low end bar or my my my. The 421 00:21:53,960 --> 00:21:57,320 Speaker 1: basis for our fund is really okay, what can I 422 00:21:57,359 --> 00:22:01,960 Speaker 1: get for free? And for free? It's not everyone's definition 423 00:22:01,960 --> 00:22:04,840 Speaker 1: of free. This is a typical Philly guy. By the way, Emily, 424 00:22:04,920 --> 00:22:09,440 Speaker 1: this is how Philly guys think. Who's got the free 425 00:22:09,560 --> 00:22:11,800 Speaker 1: who's got the free fries with the cheese steak or 426 00:22:11,800 --> 00:22:14,760 Speaker 1: the free drink. I I know exactly where he's coming from. 427 00:22:14,800 --> 00:22:18,960 Speaker 1: Their budget friendly. I like that. Yeah, yeah, absolutely, And 428 00:22:18,960 --> 00:22:21,120 Speaker 1: so if you met my father, you would certainly understand 429 00:22:21,119 --> 00:22:23,320 Speaker 1: he still has his lunch money from grade school, you know. 430 00:22:23,520 --> 00:22:27,520 Speaker 1: But that's that's the context. Seriously, though, it's funny because 431 00:22:27,560 --> 00:22:29,160 Speaker 1: I think about this a lot, like this is actually 432 00:22:29,200 --> 00:22:31,639 Speaker 1: a pretty good point. So I grew up really close 433 00:22:31,640 --> 00:22:33,800 Speaker 1: with my grandparents. I would go to do concrete work 434 00:22:33,800 --> 00:22:35,960 Speaker 1: with my grandfather. I'd go home, I have dinner with 435 00:22:36,000 --> 00:22:39,680 Speaker 1: my parents and my grandparents. And my grandmom was so 436 00:22:39,760 --> 00:22:43,080 Speaker 1: stigmatized and her whole family was by the Great Depression, 437 00:22:43,440 --> 00:22:45,800 Speaker 1: and that that really left the mark, Like you did 438 00:22:45,840 --> 00:22:48,399 Speaker 1: not waste a piece of food in the half like 439 00:22:48,480 --> 00:22:51,560 Speaker 1: that was like, you know, that was immortal sin. And 440 00:22:51,600 --> 00:22:53,359 Speaker 1: I would have to go to confession if I didn't 441 00:22:53,359 --> 00:22:56,199 Speaker 1: need all my dinner. You know, my dad had a big, 442 00:22:56,320 --> 00:22:59,520 Speaker 1: big beer belly, and he used to he passed away, 443 00:22:59,600 --> 00:23:01,560 Speaker 1: but he used to called out his savings account. You know, 444 00:23:02,040 --> 00:23:04,280 Speaker 1: that's what he's going to live live off off if 445 00:23:04,280 --> 00:23:06,920 Speaker 1: things got lean. But you're right, he never never left 446 00:23:06,920 --> 00:23:10,840 Speaker 1: a single crumb on a on a plate ever. No, absolutely, 447 00:23:10,880 --> 00:23:12,600 Speaker 1: And so so you wonder like why you think a 448 00:23:12,600 --> 00:23:14,440 Speaker 1: certain way or you know why your behavior or why 449 00:23:14,480 --> 00:23:17,640 Speaker 1: your decision making processes a certain way. And that, honestly 450 00:23:17,680 --> 00:23:19,600 Speaker 1: what was was a big part of it. That's why 451 00:23:19,600 --> 00:23:22,399 Speaker 1: my bias is what it is. So so I'm constantly 452 00:23:22,480 --> 00:23:26,040 Speaker 1: looking for for what can I get without taking any risk? 453 00:23:26,440 --> 00:23:28,600 Speaker 1: And so I start with really good balance sheets and 454 00:23:28,760 --> 00:23:31,400 Speaker 1: and and we really focus in on that for this 455 00:23:31,440 --> 00:23:35,119 Speaker 1: product of course, and um, and again we're what can 456 00:23:35,119 --> 00:23:36,760 Speaker 1: I where can I get the most amount of risk? 457 00:23:36,960 --> 00:23:39,320 Speaker 1: If a two year bond from a convertible, you know 458 00:23:39,400 --> 00:23:41,720 Speaker 1: that's a convertible security is going to give me four 459 00:23:41,800 --> 00:23:45,560 Speaker 1: or five and I have up the upside that convertible, 460 00:23:45,560 --> 00:23:48,639 Speaker 1: that optionality that a convertible bond gives us. Wow, I 461 00:23:48,840 --> 00:23:52,919 Speaker 1: would much rather have that risk reward A semest asymmetrically 462 00:23:52,960 --> 00:23:57,320 Speaker 1: positive risk reward profile versus you know, maybe a dollar 463 00:23:57,400 --> 00:24:02,000 Speaker 1: preferred that shielding five and equivalent yield. But to your point, yes, 464 00:24:02,040 --> 00:24:03,840 Speaker 1: at some point it will make sense to go a 465 00:24:03,920 --> 00:24:07,560 Speaker 1: little longer. And we found certain securities. Okay, one more 466 00:24:07,640 --> 00:24:09,560 Speaker 1: cheat coats. I got one more cheat coats. Words. So 467 00:24:11,040 --> 00:24:13,399 Speaker 1: when you look at so we we tend to only 468 00:24:13,440 --> 00:24:16,359 Speaker 1: buy bonds that are trading at a discount, which is weird, 469 00:24:16,680 --> 00:24:18,680 Speaker 1: but if you think about it makes a lot of sense. 470 00:24:18,680 --> 00:24:20,920 Speaker 1: So when bonds were overvalued, we weren't paying one ten. 471 00:24:21,920 --> 00:24:24,800 Speaker 1: We just wouldn't do it. So what we do is 472 00:24:24,800 --> 00:24:27,600 Speaker 1: wait until they become discounted. Now to your point, Michael, 473 00:24:27,720 --> 00:24:31,120 Speaker 1: some of the long bonds are trading at sixty seventy 474 00:24:31,320 --> 00:24:35,280 Speaker 1: cents on the dollar. For companies there are with outrageous 475 00:24:35,320 --> 00:24:38,879 Speaker 1: balance sheets, outrageous balance sheets, good balance sheets that you 476 00:24:38,880 --> 00:24:40,520 Speaker 1: know the one I can't tell you the name, but 477 00:24:40,760 --> 00:24:43,240 Speaker 1: the company is fourteen billion in cash with less than 478 00:24:43,280 --> 00:24:46,280 Speaker 1: two billion in death. And sure I'll go along in 479 00:24:46,320 --> 00:24:48,399 Speaker 1: that name because I know that that balance sheet is 480 00:24:48,480 --> 00:24:51,240 Speaker 1: rock solid and and and the yields great. And then 481 00:24:51,280 --> 00:24:54,440 Speaker 1: the cheat code is if you can find um bonds 482 00:24:54,560 --> 00:24:56,760 Speaker 1: or we only buy bonds. We tried only buy bonds 483 00:24:56,760 --> 00:24:59,879 Speaker 1: that have change of control provisions in the indenture and 484 00:25:00,040 --> 00:25:03,480 Speaker 1: in the in the perspectives and the covenants. And if 485 00:25:03,520 --> 00:25:05,840 Speaker 1: you do that, and let's just say that company gets 486 00:25:05,840 --> 00:25:08,240 Speaker 1: bought out, you're getting one oh one on that bond. 487 00:25:08,520 --> 00:25:10,560 Speaker 1: And so there's another way where you can add a 488 00:25:10,560 --> 00:25:12,679 Speaker 1: lot of value. And you may only have one of 489 00:25:12,680 --> 00:25:15,479 Speaker 1: those every couple of years or five years maybe. But 490 00:25:15,480 --> 00:25:17,520 Speaker 1: but again, the same thing with the convertible thing. If 491 00:25:17,800 --> 00:25:20,040 Speaker 1: if you have a convert where the stock takes off 492 00:25:20,119 --> 00:25:22,840 Speaker 1: and they do really well, I mean we've purchased some 493 00:25:22,880 --> 00:25:25,320 Speaker 1: bounds twenty five dollars and sold in the two fifty. 494 00:25:25,520 --> 00:25:27,960 Speaker 1: I mean that, so again we're looking at but we 495 00:25:28,000 --> 00:25:30,360 Speaker 1: are to go back to the point of being cheap. 496 00:25:30,440 --> 00:25:32,200 Speaker 1: We don't want to pay for that obviously. We want 497 00:25:32,200 --> 00:25:34,200 Speaker 1: to wait till the market gets busted. And it's pretty 498 00:25:34,200 --> 00:25:37,639 Speaker 1: busted at the moment. So that's how hopefully that helps 499 00:25:37,680 --> 00:25:39,960 Speaker 1: you in terms of how we frame those types of 500 00:25:40,000 --> 00:25:44,520 Speaker 1: decisions on the equity side. How are you thinking about 501 00:25:44,880 --> 00:25:49,600 Speaker 1: margin pressure as inflation remains hot. I feel like there's 502 00:25:49,640 --> 00:25:51,919 Speaker 1: a lot of stories that I write about people talking 503 00:25:51,920 --> 00:25:56,440 Speaker 1: about how the Fed's reaction to hot inflation is going 504 00:25:56,480 --> 00:25:59,720 Speaker 1: to hurt stock prices. But what about earnings? Is that 505 00:25:59,800 --> 00:26:04,240 Speaker 1: the next shoot at fall for Yeah, and a great, great, 506 00:26:04,359 --> 00:26:07,679 Speaker 1: great question. And I'll tell you why, because you know, 507 00:26:07,720 --> 00:26:10,240 Speaker 1: if you think of what we just went through, and 508 00:26:10,520 --> 00:26:13,280 Speaker 1: so so if we just ask ourselves, why is this 509 00:26:13,440 --> 00:26:16,600 Speaker 1: environment so difficult? Why is it so different? Well, we 510 00:26:16,640 --> 00:26:19,440 Speaker 1: go through COVID, and you know, if you think about 511 00:26:19,520 --> 00:26:22,560 Speaker 1: how much money the government pumped into the pumped into 512 00:26:22,680 --> 00:26:26,040 Speaker 1: the economy, and how much liquidity and how easy the 513 00:26:26,119 --> 00:26:29,719 Speaker 1: FED was over that period, it obscured a lot of 514 00:26:29,760 --> 00:26:32,520 Speaker 1: the traditional data. And I think that's that's part of 515 00:26:32,520 --> 00:26:35,960 Speaker 1: the problem now, is that you really cannot separate the 516 00:26:36,000 --> 00:26:38,200 Speaker 1: FEDS bailing out of the market over the last twenty 517 00:26:38,280 --> 00:26:42,480 Speaker 1: years versus you know, the surge and the money supply 518 00:26:42,680 --> 00:26:46,360 Speaker 1: over the last since COVID and the result. So let's 519 00:26:46,400 --> 00:26:49,879 Speaker 1: talk about the result first. The result was earnings went crazy. 520 00:26:50,240 --> 00:26:53,800 Speaker 1: Sales sales went nuts for for most companies. And if 521 00:26:53,840 --> 00:26:55,600 Speaker 1: you look at some of the you know, if you 522 00:26:55,640 --> 00:26:58,480 Speaker 1: look at your d S four screen on Bloomberg, just 523 00:26:58,520 --> 00:27:00,480 Speaker 1: to get Bloomberg a little plug you and see the 524 00:27:00,560 --> 00:27:04,240 Speaker 1: quarter over, Yeah, you can give that. You can see 525 00:27:04,240 --> 00:27:06,680 Speaker 1: the quarter of well, we'll allow that, George will allow 526 00:27:06,720 --> 00:27:10,400 Speaker 1: the Bloomberg plug. Okay, cool, cool, awesome. Um. So, so 527 00:27:10,480 --> 00:27:11,879 Speaker 1: you can see the year over a year, quarter of 528 00:27:11,920 --> 00:27:15,040 Speaker 1: a quarter results and you see these spectacular numbers in 529 00:27:15,040 --> 00:27:18,240 Speaker 1: two thousand twenty one. The problem now is that is 530 00:27:18,280 --> 00:27:21,399 Speaker 1: that sustainable? And my question, my argument, and to answer 531 00:27:21,480 --> 00:27:23,360 Speaker 1: your question, is that a lot of it is not 532 00:27:23,600 --> 00:27:26,240 Speaker 1: so so on so what we've seen so far in 533 00:27:26,320 --> 00:27:29,600 Speaker 1: terms of decline was almost all pe declined so far. 534 00:27:30,359 --> 00:27:33,520 Speaker 1: The problem, the problematic thing about the market is if 535 00:27:33,520 --> 00:27:36,200 Speaker 1: that he declines from here, which I think there's a 536 00:27:36,240 --> 00:27:39,000 Speaker 1: good chance for a lot of companies that will, and 537 00:27:39,080 --> 00:27:42,600 Speaker 1: so that could lead to a longer period of either 538 00:27:42,680 --> 00:27:45,840 Speaker 1: going sideways for going down. And I keep saying this 539 00:27:45,960 --> 00:27:48,880 Speaker 1: line over and over. I can see the ceiling clearly. 540 00:27:49,119 --> 00:27:52,320 Speaker 1: We can see peak earnings clearly, because it's there in 541 00:27:52,320 --> 00:27:54,800 Speaker 1: two thousand twenty one. What we can't see at the 542 00:27:54,800 --> 00:27:57,880 Speaker 1: moment is the floor. And that's partially the scary part 543 00:27:58,000 --> 00:28:01,399 Speaker 1: because to your point, margins are under pressure. If you 544 00:28:01,400 --> 00:28:04,400 Speaker 1: look at sales, sales had peaked and and now we're 545 00:28:04,440 --> 00:28:06,840 Speaker 1: coming off peak. So what does that mean? And so 546 00:28:06,960 --> 00:28:11,480 Speaker 1: you have you know, a group of factors that lead 547 00:28:11,560 --> 00:28:13,720 Speaker 1: me to be concerned about the E at this point. 548 00:28:13,720 --> 00:28:15,479 Speaker 1: And that's where I think we are. And then just 549 00:28:15,520 --> 00:28:18,640 Speaker 1: to take that one step further, everybody talks in aggregate 550 00:28:18,680 --> 00:28:22,400 Speaker 1: about the E about the SMPS earnings, and we really 551 00:28:22,400 --> 00:28:24,160 Speaker 1: don't because we look at and you know, we look 552 00:28:24,200 --> 00:28:26,480 Speaker 1: at company by company, and so we want companies that 553 00:28:26,520 --> 00:28:30,159 Speaker 1: have sustainable earnings. But if you strip out the energy 554 00:28:30,240 --> 00:28:33,800 Speaker 1: sector from you know, last quarters earnings, last quarters earnings 555 00:28:33,800 --> 00:28:37,160 Speaker 1: were negative, d earnings growth was negative, sorry, darrings growth 556 00:28:37,280 --> 00:28:39,880 Speaker 1: was negative, and and so you know, I think that's 557 00:28:39,920 --> 00:28:42,200 Speaker 1: really important you strip that out, if you tend if 558 00:28:42,240 --> 00:28:44,360 Speaker 1: you want to strip out the Apples and Microsofts of 559 00:28:44,400 --> 00:28:47,360 Speaker 1: the world, and you leave you know the other you know, 560 00:28:47,400 --> 00:28:51,080 Speaker 1: four hundred plus companies. This earning season really was not 561 00:28:51,240 --> 00:28:54,400 Speaker 1: that good. And I think that's that's you know, the 562 00:28:54,440 --> 00:28:56,680 Speaker 1: other part that the market is kind of kind of 563 00:28:56,720 --> 00:29:13,720 Speaker 1: resisting at the moment, you know, Church when I look 564 00:29:13,760 --> 00:29:17,840 Speaker 1: at sort of the market reaction. Uh. Ever, since you know, 565 00:29:17,920 --> 00:29:21,640 Speaker 1: the worst days of COVID even um, you know, and 566 00:29:21,640 --> 00:29:24,680 Speaker 1: and coming into this year, we had this a few 567 00:29:24,680 --> 00:29:29,280 Speaker 1: months there where the value factor was just totally outperforming growth. UM. 568 00:29:29,440 --> 00:29:32,160 Speaker 1: Then it kind of reversed back, uh and and growth 569 00:29:32,160 --> 00:29:35,959 Speaker 1: started out performing value again. Now it's you know, I'm 570 00:29:35,960 --> 00:29:37,960 Speaker 1: guessing it's gonna swing back the other way now that 571 00:29:38,200 --> 00:29:41,960 Speaker 1: inflation is less and longer than everyone expected. But to me, 572 00:29:42,240 --> 00:29:43,960 Speaker 1: you know, if you look at it from sort of 573 00:29:44,000 --> 00:29:48,640 Speaker 1: thirty thousand feet, I feel like investors are just craving 574 00:29:48,720 --> 00:29:52,400 Speaker 1: to get back to that world they're familiar with, that 575 00:29:52,400 --> 00:29:56,160 Speaker 1: that nice, juicy bull market between the financial crisis and 576 00:29:56,360 --> 00:30:00,320 Speaker 1: COVID where you know, sure GDP growth wasn't rate, but 577 00:30:00,400 --> 00:30:04,360 Speaker 1: interest rates were low, uh and growth stocks were just 578 00:30:04,440 --> 00:30:07,920 Speaker 1: the only game in town. I wonder if we're all 579 00:30:07,960 --> 00:30:11,480 Speaker 1: in for reckoning that those days are aren't coming back, 580 00:30:11,560 --> 00:30:14,360 Speaker 1: That we're in a whole new paradigm now. And it's 581 00:30:14,400 --> 00:30:17,560 Speaker 1: a very uncomfortable situation to try to wrap your head around. 582 00:30:17,600 --> 00:30:20,120 Speaker 1: How how are you thinking about that sort of reversion 583 00:30:20,160 --> 00:30:25,120 Speaker 1: to normalcy? Um? You know, is it? Do you think 584 00:30:25,120 --> 00:30:28,400 Speaker 1: we'll ever get back to that scenario where, you know, 585 00:30:28,520 --> 00:30:32,320 Speaker 1: the that decade of of just a roaring bullmarket and 586 00:30:32,680 --> 00:30:35,040 Speaker 1: low yields? Or are we are we stuck in a 587 00:30:35,040 --> 00:30:39,080 Speaker 1: new sort of secular environment here? Yeah, and and and 588 00:30:39,960 --> 00:30:43,480 Speaker 1: this this is an important topic mainly because of again 589 00:30:43,560 --> 00:30:45,280 Speaker 1: what's going on in the last few years, So what 590 00:30:45,400 --> 00:30:48,120 Speaker 1: really drove it? You know, I tend to believe that 591 00:30:48,200 --> 00:30:50,280 Speaker 1: the FED obviously say so if you think about Druck 592 00:30:50,280 --> 00:30:53,440 Speaker 1: and Miller's combat regarding liquidity, that liquidity means everything. And 593 00:30:54,040 --> 00:30:57,600 Speaker 1: he doesn't even believe necessarily that it's as important as earnings, 594 00:30:57,600 --> 00:30:59,160 Speaker 1: to which I would kind of debate with him a 595 00:30:59,160 --> 00:31:01,840 Speaker 1: little bit. But anyway, he's a much better investor than 596 00:31:01,880 --> 00:31:05,000 Speaker 1: I am. But liquidity is if you can get him 597 00:31:05,000 --> 00:31:08,720 Speaker 1: on the show, you can debate him, you can you. Yeah, 598 00:31:08,920 --> 00:31:13,040 Speaker 1: he seems like maybe if we all from a cheese 599 00:31:13,040 --> 00:31:15,360 Speaker 1: steak or the Nix brisket of beef sand which we 600 00:31:15,400 --> 00:31:19,240 Speaker 1: can uh, we can get them down here. Um. But anyway, 601 00:31:19,280 --> 00:31:21,040 Speaker 1: so so so if you think about if you think 602 00:31:21,040 --> 00:31:23,480 Speaker 1: about those periods, there's boom and bust and again, you know, 603 00:31:23,560 --> 00:31:25,720 Speaker 1: start off my career in one. You know, we saw 604 00:31:25,840 --> 00:31:27,720 Speaker 1: one in the housing bubble, and then we saw one 605 00:31:27,760 --> 00:31:30,920 Speaker 1: now and you know, the FED really played a pretty 606 00:31:30,960 --> 00:31:32,960 Speaker 1: big role and where they played the role as again 607 00:31:33,000 --> 00:31:36,400 Speaker 1: on the pea side, on the valuation side, excess liquidity 608 00:31:36,480 --> 00:31:40,640 Speaker 1: finds its way into the craziest of assets and we 609 00:31:40,680 --> 00:31:43,080 Speaker 1: and we saw that. So we saw the cryptos rally 610 00:31:43,080 --> 00:31:46,080 Speaker 1: and the spacks rally and the meme stocks rally. All 611 00:31:46,160 --> 00:31:50,920 Speaker 1: of that, my opinion, was malinvestment that was caused by 612 00:31:51,160 --> 00:31:54,120 Speaker 1: excess liquidity. There was just too much money floating around, 613 00:31:54,480 --> 00:31:56,760 Speaker 1: not enough good places to put it. And most of 614 00:31:56,800 --> 00:31:59,000 Speaker 1: the people who are investing that those funds were the 615 00:31:59,120 --> 00:32:02,920 Speaker 1: first time invests or novice investors, and and it just 616 00:32:03,240 --> 00:32:06,440 Speaker 1: again that that's not healthy. So from my standpoint of 617 00:32:06,440 --> 00:32:10,280 Speaker 1: being this value investor with traditional philosophies, that was not 618 00:32:10,400 --> 00:32:13,120 Speaker 1: that to me, that's the anomaly. That's that's the period. 619 00:32:13,640 --> 00:32:15,920 Speaker 1: That's the tech bubble, you know, and that's the tech 620 00:32:15,920 --> 00:32:18,640 Speaker 1: bubble that came back, and it will come back again. 621 00:32:18,640 --> 00:32:21,520 Speaker 1: To your point, it might take another twenty years. But yeah, 622 00:32:21,560 --> 00:32:24,040 Speaker 1: I don't think in terms of what growth investors are 623 00:32:24,080 --> 00:32:29,120 Speaker 1: looking for, they anchored. So so the behavioral aspect, our 624 00:32:29,560 --> 00:32:32,000 Speaker 1: definition of that is anchoring and their anchor to a 625 00:32:32,160 --> 00:32:35,280 Speaker 1: point um or to a spot in the market that 626 00:32:35,360 --> 00:32:37,920 Speaker 1: just is no longer there. And I think I say 627 00:32:37,960 --> 00:32:40,720 Speaker 1: this all the time. We can't anchor, you know, take 628 00:32:40,760 --> 00:32:43,640 Speaker 1: into account new information and and you know, let's change 629 00:32:43,640 --> 00:32:46,280 Speaker 1: our decision, you know, change change your mind change or decision, 630 00:32:46,680 --> 00:32:49,280 Speaker 1: and I think that's important for the market to understand. 631 00:32:49,280 --> 00:32:51,800 Speaker 1: Today you can't anchor to that point because that's gone. 632 00:32:52,200 --> 00:32:54,840 Speaker 1: I don't think again everybody wants a FED pivot, But 633 00:32:54,880 --> 00:32:57,760 Speaker 1: I don't think that type of excess liquidity is going 634 00:32:57,800 --> 00:33:01,040 Speaker 1: to enter the market anytime soon, not until we see 635 00:33:01,080 --> 00:33:05,880 Speaker 1: some more demand destruction, you know, maybe declines in earnings, 636 00:33:06,200 --> 00:33:09,160 Speaker 1: you know, maybe some future declines in in in those stocks. 637 00:33:09,200 --> 00:33:11,920 Speaker 1: And and you see investors obviously like Cathy Woods and 638 00:33:12,240 --> 00:33:14,080 Speaker 1: you know, talk down, you know, they really want the 639 00:33:14,120 --> 00:33:16,040 Speaker 1: FED to kind of back off her and Elon Musk, 640 00:33:16,080 --> 00:33:18,120 Speaker 1: and it's you know, they both have growth backgrounds. They 641 00:33:18,160 --> 00:33:21,000 Speaker 1: want to fed the pivot um to kind of give 642 00:33:21,000 --> 00:33:24,200 Speaker 1: that fuel back into the growth stocks. But ultimately, I 643 00:33:24,240 --> 00:33:29,240 Speaker 1: think what this has done today is it's prioritized, it's moved, 644 00:33:29,480 --> 00:33:33,920 Speaker 1: its shifted the priority from liquidity down to earnings. And 645 00:33:33,920 --> 00:33:36,400 Speaker 1: there's always that tuggle war there in my opinion, And 646 00:33:36,440 --> 00:33:40,080 Speaker 1: so right now you're earnings better be good, and if not, 647 00:33:40,680 --> 00:33:43,040 Speaker 1: there's no safety net. Now there's no safety net of 648 00:33:43,080 --> 00:33:45,800 Speaker 1: liquidity that's gonna levitate your stock. At a certain level, 649 00:33:45,840 --> 00:33:48,360 Speaker 1: your stock will go down. And we're seeing it today 650 00:33:48,360 --> 00:33:50,400 Speaker 1: with a lot of commodity companies that are starting to 651 00:33:50,520 --> 00:33:52,960 Speaker 1: pre announce um, you know, and I can mention because 652 00:33:53,000 --> 00:33:54,960 Speaker 1: we don't know it, but like New Corporate announced today 653 00:33:55,240 --> 00:33:58,120 Speaker 1: and Eastern and Chemical yesterday dal Chemical, Like you're seeing 654 00:33:58,200 --> 00:34:01,920 Speaker 1: some of these companies starting to report and starting starting 655 00:34:01,960 --> 00:34:06,040 Speaker 1: to show this degradation and a and and so I 656 00:34:06,040 --> 00:34:07,720 Speaker 1: think that's where we are. So to your point, Mike, no, 657 00:34:07,880 --> 00:34:10,000 Speaker 1: I don't think we go right back. I think again, 658 00:34:10,040 --> 00:34:13,640 Speaker 1: that's just people anchoring to a point that we're passed 659 00:34:13,920 --> 00:34:16,440 Speaker 1: right now. And so what you want to own a 660 00:34:16,520 --> 00:34:19,680 Speaker 1: really good companies, really good balance, she's really good management teams, 661 00:34:19,680 --> 00:34:22,440 Speaker 1: and a lot of those companies only existed because of 662 00:34:22,480 --> 00:34:26,640 Speaker 1: access liquidity, and that's part of the problem. Well, George, 663 00:34:26,840 --> 00:34:29,120 Speaker 1: regular listeners of this show will know that the one 664 00:34:29,160 --> 00:34:32,600 Speaker 1: thing we anchor to around here is the crazy things 665 00:34:32,640 --> 00:34:35,280 Speaker 1: we saw in markets. So I don't want to segue 666 00:34:35,280 --> 00:34:37,279 Speaker 1: to that a little bit early because I gotta sneak 667 00:34:37,320 --> 00:34:40,680 Speaker 1: peek at your crazy things, and they really they really 668 00:34:40,680 --> 00:34:44,120 Speaker 1: speak to the uh, you know, the actually the important 669 00:34:44,160 --> 00:34:46,880 Speaker 1: things of the market, which uh these days are the 670 00:34:46,920 --> 00:34:50,600 Speaker 1: crazy things. Funnily enough, so talk to us about the 671 00:34:50,600 --> 00:34:54,480 Speaker 1: craziest things you've seen in markets recently. Yeah, and I 672 00:34:54,520 --> 00:34:56,759 Speaker 1: think it really is just going back to to what 673 00:34:56,840 --> 00:34:59,560 Speaker 1: I just mentioned, you know, was I mean, I'm not 674 00:34:59,600 --> 00:35:01,520 Speaker 1: sure if you why if you're on Twitter at all, 675 00:35:01,560 --> 00:35:04,560 Speaker 1: but some of the absolutely crazy videos that we saw 676 00:35:04,680 --> 00:35:08,080 Speaker 1: from the crypto community, from you know, the meme stock community, 677 00:35:08,160 --> 00:35:10,120 Speaker 1: and just really you know, it's just just things that 678 00:35:10,120 --> 00:35:12,680 Speaker 1: were completely detached from reality. And I'm sure you've covered 679 00:35:12,680 --> 00:35:14,440 Speaker 1: this over the past year, so this is definitely not 680 00:35:14,520 --> 00:35:18,000 Speaker 1: a new topic. But yeah, I just think, you know, ultimately, 681 00:35:18,080 --> 00:35:20,440 Speaker 1: the craziest thing is is that, you know, the market 682 00:35:20,480 --> 00:35:23,080 Speaker 1: tends to not want to be realistic and and and 683 00:35:23,120 --> 00:35:26,200 Speaker 1: again they do want to anchor, and so stripping out 684 00:35:26,960 --> 00:35:29,160 Speaker 1: energy right now, you strip out make it make a 685 00:35:29,239 --> 00:35:32,280 Speaker 1: cap tech under the surface. You know, the earnings picture 686 00:35:32,320 --> 00:35:34,719 Speaker 1: is going to be very important over the next few quarters. 687 00:35:35,080 --> 00:35:37,000 Speaker 1: And that's again where I think the market can be 688 00:35:37,080 --> 00:35:40,000 Speaker 1: a little um, a little bit disappointed when they see 689 00:35:40,320 --> 00:35:42,520 Speaker 1: the impacts of inflation, when they see the impacts of 690 00:35:42,560 --> 00:35:46,160 Speaker 1: a strong dollar. You know, financial reality needs to step 691 00:35:46,200 --> 00:35:49,439 Speaker 1: in and kind of tame the craziness in the market. Now, 692 00:35:49,719 --> 00:35:52,400 Speaker 1: taming the craziness in the market probably means a decline 693 00:35:52,440 --> 00:35:55,720 Speaker 1: which is not fun, but but we love it. I mean, honestly, 694 00:35:55,760 --> 00:35:58,279 Speaker 1: for for our strategy, we love volatility. We love when 695 00:35:58,280 --> 00:36:00,200 Speaker 1: things go down because that's when we can going to 696 00:36:00,200 --> 00:36:03,279 Speaker 1: take advantage of the free money that might be out there. 697 00:36:03,640 --> 00:36:06,399 Speaker 1: But you know, all that sort of gets me back 698 00:36:06,440 --> 00:36:08,839 Speaker 1: to the point about that that signal that comes from 699 00:36:08,880 --> 00:36:11,600 Speaker 1: the credit markets sometimes you know where you'll see uh 700 00:36:11,800 --> 00:36:15,280 Speaker 1: spreads wide and aggressively long before the stock market peaks. 701 00:36:15,280 --> 00:36:18,120 Speaker 1: And I wonder if there's something to be said that, 702 00:36:18,440 --> 00:36:21,160 Speaker 1: you know, in in credit markets, you're only dealing with 703 00:36:21,200 --> 00:36:24,839 Speaker 1: professional investors. You don't have a bunch of kids on Reddit, teenagers, 704 00:36:24,920 --> 00:36:27,480 Speaker 1: you know, uh, pumping up beame stocks and you know, 705 00:36:27,880 --> 00:36:31,920 Speaker 1: at in general, just the the you know, retail investing 706 00:36:32,320 --> 00:36:35,200 Speaker 1: population in general, which is you know, less sophisticated, but 707 00:36:35,239 --> 00:36:38,480 Speaker 1: it's gotten so much more influential over the years. Is 708 00:36:38,480 --> 00:36:41,120 Speaker 1: that is that crazy talk to you to think that 709 00:36:41,200 --> 00:36:43,359 Speaker 1: you know, there maybe the credit markets are a little 710 00:36:43,400 --> 00:36:45,960 Speaker 1: less crazy and and that's why that signal works. There's 711 00:36:45,960 --> 00:36:48,399 Speaker 1: a little bit more sobriety. They're a little bit more 712 00:36:48,480 --> 00:36:52,759 Speaker 1: sort of professional analysis. Uh that's driving things than say 713 00:36:52,840 --> 00:36:55,200 Speaker 1: that the stock market, especially these days when the you know, 714 00:36:55,239 --> 00:36:59,040 Speaker 1: the Reddit crowds are are running the show. I think 715 00:36:59,040 --> 00:37:01,200 Speaker 1: that's a fair point. If if you met you know, 716 00:37:01,280 --> 00:37:04,319 Speaker 1: my CopM scott ellis Greg Zapp and v met mark 717 00:37:04,400 --> 00:37:06,680 Speaker 1: Up installed over a pen mutual you know, and and 718 00:37:06,760 --> 00:37:09,960 Speaker 1: Jim Fonts and and and our team you know, these 719 00:37:09,960 --> 00:37:12,440 Speaker 1: are these are traditional you know, bond guys and then 720 00:37:12,480 --> 00:37:14,759 Speaker 1: really good credit guys and and and they do a 721 00:37:14,800 --> 00:37:19,160 Speaker 1: really good job. They're very rational, very sensible, and and 722 00:37:19,320 --> 00:37:22,400 Speaker 1: so just using them as an example, I would say absolutely, 723 00:37:22,480 --> 00:37:25,720 Speaker 1: there's not a lot of um, you know, running around 724 00:37:25,800 --> 00:37:28,640 Speaker 1: like you know, screaming trading, nothing like that. It's it's 725 00:37:28,640 --> 00:37:31,880 Speaker 1: a pretty common environment and um and yeah, I think 726 00:37:31,920 --> 00:37:34,759 Speaker 1: I would agree with that. There there there is though, 727 00:37:35,280 --> 00:37:37,440 Speaker 1: so you know, just going back to it, you know, 728 00:37:37,520 --> 00:37:40,719 Speaker 1: there there will always be these peaks in troughs in 729 00:37:40,840 --> 00:37:43,440 Speaker 1: terms of an interest in a given area. And I 730 00:37:43,480 --> 00:37:46,120 Speaker 1: think one of the things specific with high yield to 731 00:37:46,200 --> 00:37:49,600 Speaker 1: your point, is that there was so much demand for 732 00:37:49,760 --> 00:37:52,560 Speaker 1: yield because there was none for a long period of time. 733 00:37:53,000 --> 00:37:55,239 Speaker 1: So we've kind of broken that now now that we 734 00:37:55,320 --> 00:37:57,720 Speaker 1: see you know, get money market rates at four percent 735 00:37:57,920 --> 00:38:00,400 Speaker 1: or seeing a cur yield curve that's looking at you know, 736 00:38:00,520 --> 00:38:03,440 Speaker 1: three point seven five plus you know, throughout most of 737 00:38:03,480 --> 00:38:07,799 Speaker 1: the curve, and and so again I think that mentality 738 00:38:07,840 --> 00:38:11,680 Speaker 1: should break a little bit in terms of UM. Again, 739 00:38:11,719 --> 00:38:14,400 Speaker 1: there's available yield, so hopefully people won't have to be 740 00:38:14,440 --> 00:38:17,879 Speaker 1: as desperate. Because what happens is if you think about 741 00:38:17,920 --> 00:38:20,520 Speaker 1: the psychology where you're like, well, I if you target 742 00:38:20,520 --> 00:38:22,200 Speaker 1: a yield and say, look, I want to get five 743 00:38:22,280 --> 00:38:24,200 Speaker 1: or six percent, and if you said that over the 744 00:38:24,239 --> 00:38:27,080 Speaker 1: last few years, the only way to get it was 745 00:38:27,120 --> 00:38:30,359 Speaker 1: to extenderation or go down in credit quality, those were 746 00:38:30,360 --> 00:38:32,320 Speaker 1: the only two ways you were taking. You were taking 747 00:38:32,320 --> 00:38:37,160 Speaker 1: more risk period. So you know so so but you know, 748 00:38:37,239 --> 00:38:39,040 Speaker 1: just going back to your point, yeah, credit spreads are 749 00:38:39,120 --> 00:38:41,520 Speaker 1: very important. I do think you know, the credit markets 750 00:38:42,000 --> 00:38:43,719 Speaker 1: uh tend to be a little more same, but they 751 00:38:43,719 --> 00:38:46,600 Speaker 1: can get crazy too. I just think at this point, UM, 752 00:38:46,640 --> 00:38:51,000 Speaker 1: it's it's definitely it's certainly not um you know the 753 00:38:51,000 --> 00:38:54,400 Speaker 1: same as the growth markets from west here. The relative 754 00:38:54,480 --> 00:39:00,239 Speaker 1: value of the craziness is uh. Alright, Emily. Then else 755 00:39:00,239 --> 00:39:04,520 Speaker 1: to your real test as a professional financial journalist, Uh, 756 00:39:04,760 --> 00:39:06,920 Speaker 1: you got to bring a good crazy thing to this 757 00:39:06,920 --> 00:39:09,279 Speaker 1: podcast to really gain some respect. So so what do 758 00:39:09,280 --> 00:39:11,760 Speaker 1: you got for us? All Right? So this was something 759 00:39:11,760 --> 00:39:16,960 Speaker 1: that I saw on Bloomberg News. It involves Elon Musk 760 00:39:17,440 --> 00:39:21,120 Speaker 1: So his ex girlfriend. Um. I read this article a 761 00:39:21,200 --> 00:39:25,080 Speaker 1: couple of days ago. Ex girlfriend is selling off um 762 00:39:25,360 --> 00:39:30,080 Speaker 1: photos and memorabilia. This is his college ex girlfriend on 763 00:39:30,120 --> 00:39:33,920 Speaker 1: an online auction site. Mike, do we have time to 764 00:39:33,920 --> 00:39:37,759 Speaker 1: play a little bit of The price is correct? The 765 00:39:37,880 --> 00:39:41,560 Speaker 1: price it's precise, I believe. I think the price is precise. 766 00:39:43,880 --> 00:39:47,000 Speaker 1: Well that Alex prices correct anything, but price is right 767 00:39:47,080 --> 00:39:49,520 Speaker 1: because that that's gonna get us. Uh, that's gonna get 768 00:39:49,560 --> 00:39:52,919 Speaker 1: me punched by Bob Barker. This is you. Not only 769 00:39:52,960 --> 00:39:54,520 Speaker 1: did you pass the test, I think you get a 770 00:39:54,920 --> 00:39:59,200 Speaker 1: percent because this is my crazy thing too. Oh my gosh. 771 00:39:58,800 --> 00:40:02,000 Speaker 1: Oh well though, I think I can beat you on 772 00:40:02,040 --> 00:40:05,520 Speaker 1: the prices precise, but we gotta get George to Uh. 773 00:40:05,640 --> 00:40:08,279 Speaker 1: I don't know which item you're going to with. Is 774 00:40:08,280 --> 00:40:12,280 Speaker 1: it the birthday card? It is? It's the birthday card. 775 00:40:12,400 --> 00:40:16,320 Speaker 1: It's signed love Ellen um and this I guess it 776 00:40:16,440 --> 00:40:19,040 Speaker 1: was the ex girlfriend in college. It was her birthday. 777 00:40:19,239 --> 00:40:21,440 Speaker 1: So all right, I did. I did do you one 778 00:40:21,480 --> 00:40:23,880 Speaker 1: better though, because I actually looked up the auction site 779 00:40:24,520 --> 00:40:28,440 Speaker 1: and I found the actual live bidding on this uh 780 00:40:28,520 --> 00:40:32,960 Speaker 1: on this particular item and it says happy birthday Jennifer 781 00:40:33,440 --> 00:40:36,839 Speaker 1: a k A Boo boo love Elon. And I gotta say, 782 00:40:36,960 --> 00:40:38,920 Speaker 1: if we were ever to have like a Crazy Thing 783 00:40:38,960 --> 00:40:41,879 Speaker 1: Hall of Fame or a Crazy Thing museum, Elon Musk 784 00:40:41,920 --> 00:40:43,920 Speaker 1: would get like his own wing of that of that 785 00:40:44,000 --> 00:40:47,640 Speaker 1: absolutely for this. So I think we just gotta stick 786 00:40:47,680 --> 00:40:52,080 Speaker 1: George with the prices correct here, George, what do you 787 00:40:52,080 --> 00:40:55,600 Speaker 1: think that? What do you think the current bid is for? 788 00:40:56,520 --> 00:41:01,360 Speaker 1: And Elon Musk signed birthday card to Boo Boo from college. 789 00:41:01,360 --> 00:41:03,279 Speaker 1: And by the way, Elen, what's a you? Penn? So 790 00:41:03,320 --> 00:41:05,680 Speaker 1: he's a Philly guy too. And Emily, you know what 791 00:41:06,040 --> 00:41:08,239 Speaker 1: a little bit you can play too, Emily, because I 792 00:41:08,239 --> 00:41:10,600 Speaker 1: don't think you have a live bidding prices in front 793 00:41:10,600 --> 00:41:12,399 Speaker 1: of it. I don't. I did not look it up, 794 00:41:12,480 --> 00:41:14,920 Speaker 1: so props to you, Mike. I can't cheat a week it. 795 00:41:15,000 --> 00:41:18,239 Speaker 1: We're not allowed to sheet Okay, this guy always with 796 00:41:18,280 --> 00:41:22,080 Speaker 1: the cheap code is another way you can tell he's 797 00:41:22,120 --> 00:41:27,600 Speaker 1: from Philly? All right? Ten thousand dollars? Holy cow? Emily, 798 00:41:27,680 --> 00:41:30,359 Speaker 1: what's your bid? What's what do you think? Alive? Fit is? 799 00:41:30,640 --> 00:41:34,520 Speaker 1: I gave I gave away my poker face there. Uh 800 00:41:36,360 --> 00:41:40,160 Speaker 1: so in the story the current bidding was at ten thousand, 801 00:41:40,160 --> 00:41:44,280 Speaker 1: So George, George is pretty ready And I did not cheat. 802 00:41:44,480 --> 00:41:47,360 Speaker 1: I promise you I did not cheat. I actually real quick, though, Michael, 803 00:41:47,400 --> 00:41:49,000 Speaker 1: I do have one. I didn't get like a really 804 00:41:49,000 --> 00:41:50,759 Speaker 1: crazy way. I didn't get the point even though I 805 00:41:50,760 --> 00:41:52,680 Speaker 1: listened to the show. But I got one for you 806 00:41:52,760 --> 00:41:55,960 Speaker 1: real quick, A right honor the Queen. The crown estate 807 00:41:56,239 --> 00:41:59,080 Speaker 1: is estimated to be worth over thirty four point three 808 00:41:59,120 --> 00:42:02,680 Speaker 1: billion in assets now belongs to King Charles. He will 809 00:42:02,719 --> 00:42:05,959 Speaker 1: not have to pay a diamond inheritance stacks. That's pretty cool. Usually, 810 00:42:07,160 --> 00:42:11,279 Speaker 1: isn't that crazy? Wow? That is nuts? Yeah, I mean 811 00:42:11,280 --> 00:42:14,040 Speaker 1: I guess it's all that real estate I've read somewhere there, 812 00:42:14,200 --> 00:42:19,000 Speaker 1: like the um the biggest landowner in Scotland for one thing, 813 00:42:19,040 --> 00:42:21,960 Speaker 1: and all those castles even put a value on you know, 814 00:42:22,560 --> 00:42:26,360 Speaker 1: the value of pose castles. So though I don't know, 815 00:42:26,840 --> 00:42:30,000 Speaker 1: I don't know who's gonna who's gonna buy? You got 816 00:42:30,000 --> 00:42:32,919 Speaker 1: a limited uh market for those Maybe on Musk would 817 00:42:32,920 --> 00:42:37,960 Speaker 1: buy one. But anyway, current bid and there's three hours, 818 00:42:38,520 --> 00:42:41,480 Speaker 1: fifty nine minutes left on this auction, Emily, in case 819 00:42:41,520 --> 00:42:47,439 Speaker 1: you want to make a bid twelve thou and three 820 00:42:47,480 --> 00:42:50,799 Speaker 1: dollars for the Elon Musk love letter. Emily. I don't 821 00:42:50,800 --> 00:42:54,719 Speaker 1: know much about your romantic life, but if, if, if 822 00:42:54,719 --> 00:42:57,399 Speaker 1: you had any significant others from college, did you save 823 00:42:57,480 --> 00:43:03,800 Speaker 1: their their birthday cards? And yeah, I have some mementos. Well, 824 00:43:04,200 --> 00:43:07,400 Speaker 1: we're still together, so I'll keep all the pictures of us. 825 00:43:08,160 --> 00:43:10,960 Speaker 1: You better say that one day if he's the next 826 00:43:11,000 --> 00:43:18,560 Speaker 1: Elon Musk, that'd be nice. Better. You gotta push him, Emily, 827 00:43:18,600 --> 00:43:25,279 Speaker 1: you gotta push him, he'll be the next. That's fantastic. Well, 828 00:43:25,280 --> 00:43:27,960 Speaker 1: I think that is all our time for the show. George. 829 00:43:28,000 --> 00:43:30,520 Speaker 1: Great to catch up the Emily. It makes me homesick 830 00:43:30,560 --> 00:43:38,760 Speaker 1: to hear George with that Philly accent. Is before you leave, though, George, 831 00:43:38,800 --> 00:43:40,840 Speaker 1: I gotta hear you say. When you go to the 832 00:43:40,960 --> 00:43:43,480 Speaker 1: fawcehead and you turn it on and you put a 833 00:43:43,480 --> 00:43:48,760 Speaker 1: glass under it, what's coming out? Water? Water? Of course, 834 00:43:49,320 --> 00:43:53,319 Speaker 1: it's water. I know. You go, you go get water 835 00:43:53,400 --> 00:43:59,919 Speaker 1: out of the creek. And then George, if you wanna say, 836 00:44:00,000 --> 00:44:01,640 Speaker 1: get a six pack of beer and you want to 837 00:44:01,719 --> 00:44:04,640 Speaker 1: keep it cold, and you've got an appliance in your kitchen, 838 00:44:04,640 --> 00:44:10,600 Speaker 1: what do you what's that appliance called bridge refrigerator A 839 00:44:10,760 --> 00:44:14,080 Speaker 1: supposed to say definitely refrigerator refrigerator. Yeah, no, you're saying 840 00:44:14,080 --> 00:44:17,720 Speaker 1: it right, you're saying it right. Okay, Okay. Finally a guy. Finally, 841 00:44:17,719 --> 00:44:20,959 Speaker 1: a guy on this show without an accent. Emily, where 842 00:44:20,960 --> 00:44:25,320 Speaker 1: you got a supermarket? What's what's your favorite supermarket? Uh? Boy, 843 00:44:25,520 --> 00:44:32,680 Speaker 1: where are you going with this? Yeah? It's so funny 844 00:44:32,719 --> 00:44:34,719 Speaker 1: because when I first moved up to New York from 845 00:44:34,760 --> 00:44:40,120 Speaker 1: Philly and uh years ago, um, my co workers are like, 846 00:44:40,360 --> 00:44:46,719 Speaker 1: are you from the South talking about accent? Right? Right? 847 00:44:47,560 --> 00:44:51,799 Speaker 1: It's got to be from far away. Uh. Finally a 848 00:44:51,960 --> 00:44:55,400 Speaker 1: guest with the proper pronunciation of all the amquitant words. 849 00:44:56,040 --> 00:44:58,040 Speaker 1: George seppalone, is so great to catch up with you. 850 00:44:58,880 --> 00:45:00,840 Speaker 1: Thanks for sharing your time with us and your insights. 851 00:45:00,880 --> 00:45:03,920 Speaker 1: Really appreciate it. Thank you both appreciate it. Thanks George 852 00:45:04,080 --> 00:45:15,680 Speaker 1: Acromy achromy what goes up? We'll be back next week 853 00:45:16,000 --> 00:45:17,480 Speaker 1: and so then you can find us on the Bloomberg 854 00:45:17,600 --> 00:45:21,040 Speaker 1: Terminal website and app or wherever you get your podcasts. 855 00:45:21,719 --> 00:45:23,279 Speaker 1: We love it if you took the time to rate 856 00:45:23,320 --> 00:45:26,320 Speaker 1: and review the show on Apple Podcasts, so more listeners 857 00:45:26,320 --> 00:45:28,640 Speaker 1: can find us and you can find us on Twitter, 858 00:45:29,040 --> 00:45:32,440 Speaker 1: follow me at Rea Anonymous, Well Donna hierarch Is at 859 00:45:32,480 --> 00:45:37,080 Speaker 1: Bildonna Hirach. You can also follow Bloomberg Podcasts at Podcasts. 860 00:45:38,200 --> 00:45:41,320 Speaker 1: What Goes Up is produced by Stacy Wang. Thanks for listening, 861 00:45:41,360 --> 00:46:01,480 Speaker 1: See you next time. B