1 00:00:05,920 --> 00:00:07,720 Speaker 1: Welcome to Fear and Greed Q and A where we 2 00:00:07,760 --> 00:00:11,840 Speaker 1: ask and answer questions about business, investing, economics, politics and more. 3 00:00:11,880 --> 00:00:14,800 Speaker 1: I'm sure, ailman, the local share market is a little 4 00:00:14,880 --> 00:00:17,479 Speaker 1: volatile right now. In the last week we've seen big 5 00:00:17,520 --> 00:00:20,320 Speaker 1: share price jumps for some very large companies come off 6 00:00:20,360 --> 00:00:22,880 Speaker 1: Bank and Z. For example, i am P fell twenty 7 00:00:22,880 --> 00:00:26,880 Speaker 1: six percent on its results last week. Shipbuilder Ostill tumbled 8 00:00:27,040 --> 00:00:30,920 Speaker 1: twenty three percent on Friday, then rebounded twenty percent yesterday. 9 00:00:31,280 --> 00:00:33,320 Speaker 1: At the same time, the tech sect has been pummeled 10 00:00:33,360 --> 00:00:36,720 Speaker 1: over AI fears, only to recover then drop them recover again. 11 00:00:37,200 --> 00:00:39,440 Speaker 1: What to make of it all? This is general information 12 00:00:39,520 --> 00:00:42,000 Speaker 1: only and you should seek professional advice Taylor to your 13 00:00:42,040 --> 00:00:46,640 Speaker 1: circumstances before making decisions. Lachland Halloway is the equity market 14 00:00:46,680 --> 00:00:49,680 Speaker 1: strategist at morning Star. Lachland, welcome back to Fear and Greed. 15 00:00:50,040 --> 00:00:50,879 Speaker 2: Thanks for having me. 16 00:00:51,640 --> 00:00:53,440 Speaker 1: What do you make of the results season so far? 17 00:00:54,960 --> 00:00:59,120 Speaker 3: Well, volatility is back. As you alluded to, that was 18 00:00:59,160 --> 00:01:03,440 Speaker 3: a theme that was absolutely with us. Last August. We'd 19 00:01:03,480 --> 00:01:06,679 Speaker 3: seen the most volatile earning season in terms of share 20 00:01:06,720 --> 00:01:10,679 Speaker 3: price movements on the day since at least COVID and 21 00:01:10,840 --> 00:01:13,880 Speaker 3: the initial week or weeks of February twenty twenty six, 22 00:01:14,000 --> 00:01:19,039 Speaker 3: we see that trend repeating again. Look what that's down to. 23 00:01:19,360 --> 00:01:22,840 Speaker 3: Maybe it's ago trading or prop shops or passive buying. 24 00:01:22,840 --> 00:01:24,440 Speaker 3: I don't know, but it seems to be very much 25 00:01:24,520 --> 00:01:28,839 Speaker 3: a feature, an accelerating feature in equity markets. So investors 26 00:01:28,840 --> 00:01:30,680 Speaker 3: have to, I suppose, get used to that and try 27 00:01:30,720 --> 00:01:33,840 Speaker 3: and use that to find opportunities rather than being to 28 00:01:34,000 --> 00:01:35,200 Speaker 3: panicked buy it. 29 00:01:35,319 --> 00:01:36,000 Speaker 2: Over All, the. 30 00:01:35,959 --> 00:01:40,800 Speaker 3: Results themselves, again very early days, they look okay. We've 31 00:01:40,800 --> 00:01:43,080 Speaker 3: probably made a few less upgrades than we normally would 32 00:01:43,080 --> 00:01:46,160 Speaker 3: by this point in earning season, but generally speaking, things 33 00:01:46,240 --> 00:01:47,560 Speaker 3: are looking reasonable. 34 00:01:47,560 --> 00:01:49,160 Speaker 2: With the caveat that this is early days. 35 00:01:49,200 --> 00:01:52,440 Speaker 1: Yet, do some of the better results tend to come 36 00:01:52,480 --> 00:01:55,040 Speaker 1: out earlier or is it more a case the worst 37 00:01:55,080 --> 00:01:57,440 Speaker 1: results come out late but in the first couple of weeks. 38 00:01:57,440 --> 00:01:58,680 Speaker 1: It's just it is what it is. 39 00:01:59,320 --> 00:02:02,360 Speaker 2: I think that's probably generally true. 40 00:02:02,520 --> 00:02:05,560 Speaker 3: We often see the bigger swings when you have companies, 41 00:02:05,560 --> 00:02:09,080 Speaker 3: say postponing to the last week or the last day 42 00:02:09,120 --> 00:02:10,079 Speaker 3: of God forbid. 43 00:02:09,800 --> 00:02:11,920 Speaker 2: Beyond earning season. That's when things really get harry. 44 00:02:13,000 --> 00:02:15,480 Speaker 3: I think that's generally true, and what we've seen so 45 00:02:15,639 --> 00:02:18,400 Speaker 3: far though, is that we've where we're getting big market 46 00:02:18,440 --> 00:02:24,519 Speaker 3: reactions to early blue chip company results, which again I 47 00:02:24,520 --> 00:02:27,480 Speaker 3: think we flagged that last August and we saw James 48 00:02:27,520 --> 00:02:32,240 Speaker 3: Hardy back then CSL Wireworth having you know, historic share 49 00:02:32,280 --> 00:02:36,320 Speaker 3: price falls, and now we're getting that again this season 50 00:02:36,639 --> 00:02:41,679 Speaker 3: with more blue chip companies Cocklear, our CSL again, Promticus, 51 00:02:41,720 --> 00:02:44,960 Speaker 3: the rocket ship. So I think that seems to be 52 00:02:45,160 --> 00:02:48,320 Speaker 3: just a just a new reality we have to contend 53 00:02:48,360 --> 00:02:51,400 Speaker 3: with that things are volatile again. I think it creates 54 00:02:51,400 --> 00:02:56,080 Speaker 3: more opportunities than usual because when something drops thirty percent, 55 00:02:56,560 --> 00:02:59,919 Speaker 3: you you know to think that yesterday this thing is 56 00:03:00,080 --> 00:03:04,400 Speaker 3: worth to say it's worth yesterday, has this business's outlook, 57 00:03:04,400 --> 00:03:07,280 Speaker 3: its long run cash flow has really been impaired thirty 58 00:03:07,320 --> 00:03:09,680 Speaker 3: percent forever. That's kind of what you've got to believe. 59 00:03:10,280 --> 00:03:12,000 Speaker 3: So I think the marks getting more short term issed. 60 00:03:12,240 --> 00:03:14,680 Speaker 3: But if you're a long to invest that that's probably 61 00:03:14,680 --> 00:03:15,160 Speaker 3: a good thing. 62 00:03:15,840 --> 00:03:18,000 Speaker 1: So I mean, take Ostal, and I'm not talking about 63 00:03:18,040 --> 00:03:19,800 Speaker 1: the I mean, we can talk about the shipbuilder if 64 00:03:19,800 --> 00:03:21,760 Speaker 1: we want, but that's not my point. I mean it 65 00:03:21,800 --> 00:03:24,440 Speaker 1: came and it said that it had double counted a contract, 66 00:03:24,480 --> 00:03:29,160 Speaker 1: it had its share price fell nearly thirty percent. The 67 00:03:29,200 --> 00:03:33,000 Speaker 1: next trading day, which was yesterday, it jumped twenty percent. 68 00:03:34,080 --> 00:03:35,600 Speaker 1: It's a bit irrational, isn't it. 69 00:03:36,080 --> 00:03:36,560 Speaker 2: I think so. 70 00:03:36,760 --> 00:03:39,360 Speaker 3: I mean, look, sometimes you genuinely do get one update 71 00:03:39,400 --> 00:03:42,440 Speaker 3: that massively changes the thesis on a stock and the outlook, 72 00:03:42,480 --> 00:03:45,400 Speaker 3: and that happens sometimes, but not probably to the frequency 73 00:03:45,440 --> 00:03:49,600 Speaker 3: that's happening today. And I think, particularly on the downside, 74 00:03:49,680 --> 00:03:52,960 Speaker 3: is what's maybe even more remarkable. Yeah, it's volatile both ways, 75 00:03:53,000 --> 00:03:57,280 Speaker 3: but some of the downward moves in in share prices, 76 00:03:57,320 --> 00:04:00,600 Speaker 3: but on a miss like you know, an EPs census 77 00:04:00,640 --> 00:04:04,560 Speaker 3: miss or earnings down radar are enormous. And not only 78 00:04:04,560 --> 00:04:06,280 Speaker 3: do I have to assume that you know that this 79 00:04:06,400 --> 00:04:08,920 Speaker 3: year is going to miss by say twenty percent in 80 00:04:08,960 --> 00:04:11,119 Speaker 3: the case of a cochlear a CSL, but that every 81 00:04:11,160 --> 00:04:12,760 Speaker 3: other year beyond that is going to be twenty percent 82 00:04:12,800 --> 00:04:14,920 Speaker 3: old and not what you'd expected before this, And that's 83 00:04:15,000 --> 00:04:19,440 Speaker 3: kind of hard to grasp sometimes. And I think that again, 84 00:04:19,560 --> 00:04:22,840 Speaker 3: it's just this the markets seems a bit jittery. It's 85 00:04:22,960 --> 00:04:26,840 Speaker 3: kind of just act first and ask questions later. That's 86 00:04:26,880 --> 00:04:28,720 Speaker 3: what we're seeing now, and I would absolutely expect that 87 00:04:28,760 --> 00:04:30,120 Speaker 3: continue for the remaining two weeks. 88 00:04:30,160 --> 00:04:31,000 Speaker 2: Of reporting season. 89 00:04:31,320 --> 00:04:32,919 Speaker 1: If you look look at some of the sectors, So 90 00:04:33,000 --> 00:04:35,640 Speaker 1: the banks, we had Commonwealth Bank the big one last 91 00:04:35,640 --> 00:04:37,960 Speaker 1: week it had its half year result. We also had 92 00:04:37,960 --> 00:04:41,760 Speaker 1: another couple of banks giving quarterly results. Ac Quari groups 93 00:04:41,839 --> 00:04:45,039 Speaker 1: done very well too with the quarterly What is it 94 00:04:45,080 --> 00:04:47,480 Speaker 1: about that sector? I mean, it seems like people were 95 00:04:47,480 --> 00:04:49,520 Speaker 1: looking for an excuse to buy Commonwealth Bank and they 96 00:04:49,560 --> 00:04:51,480 Speaker 1: found it and it's done very well in last week 97 00:04:51,560 --> 00:04:54,280 Speaker 1: or so. What is it about that sector given the 98 00:04:54,279 --> 00:04:56,080 Speaker 1: interest rate environment that people like? 99 00:04:56,880 --> 00:04:58,960 Speaker 3: I mean maybe as a general comment on the banks, 100 00:04:59,040 --> 00:05:02,000 Speaker 3: they look like a safe pair of hands, and generally 101 00:05:02,040 --> 00:05:03,839 Speaker 3: they are. I mean, the four majors are very high 102 00:05:03,920 --> 00:05:06,919 Speaker 3: quality businesses, and particularly CBA being the best of the 103 00:05:06,960 --> 00:05:09,599 Speaker 3: bunch with the best Roe and all I mean the 104 00:05:09,560 --> 00:05:11,920 Speaker 3: Middle East Macquarie seems to be close that gap pretty quickly. 105 00:05:12,000 --> 00:05:15,680 Speaker 3: But nonetheless, you know they are when everything else looks 106 00:05:15,960 --> 00:05:19,240 Speaker 3: scary and volatile. Maybe investors like the comfort and the 107 00:05:19,240 --> 00:05:23,680 Speaker 3: safety of those businesses. What you're paying for that safety 108 00:05:23,680 --> 00:05:26,800 Speaker 3: and comfort is an ongoing puzzle for markets. You know, 109 00:05:26,839 --> 00:05:30,599 Speaker 3: twenty six times earnings for a business like Commonwealth Bank 110 00:05:30,640 --> 00:05:33,480 Speaker 3: that's growing at something like six percent is not usually 111 00:05:33,480 --> 00:05:35,640 Speaker 3: what you would pay for that sort of earning stream 112 00:05:35,680 --> 00:05:38,040 Speaker 3: and that sort of earnings outlook. But I suppose some 113 00:05:38,120 --> 00:05:40,520 Speaker 3: investors say, well, I'd rather have the safety there than 114 00:05:41,040 --> 00:05:45,560 Speaker 3: perhaps the better value but inherently riskier stocks. Not the 115 00:05:45,600 --> 00:05:47,719 Speaker 3: way we see it, but I suppose that's the way 116 00:05:47,720 --> 00:05:48,719 Speaker 3: some investors are thinking. 117 00:05:49,560 --> 00:05:51,600 Speaker 1: What I mean, it is early, so we've got to 118 00:05:51,640 --> 00:05:57,159 Speaker 1: keep that in mind. Is AI and AI discussion coming 119 00:05:57,200 --> 00:05:59,039 Speaker 1: out in these investor calls very much? 120 00:06:00,000 --> 00:06:02,320 Speaker 3: But look, I think yes, they are, particularly for the 121 00:06:02,360 --> 00:06:05,640 Speaker 3: CEOs that have to defend their business against the threat 122 00:06:05,680 --> 00:06:10,279 Speaker 3: of AI disruption or destruction. We've seen that for a 123 00:06:10,279 --> 00:06:12,280 Speaker 3: few of the software businesses. 124 00:06:13,200 --> 00:06:15,560 Speaker 2: On one side, you've got to whom is it a threat? 125 00:06:15,560 --> 00:06:16,719 Speaker 3: But then in the side you've got, well, who's an 126 00:06:16,720 --> 00:06:19,000 Speaker 3: opportunity for like the banks having argue that okay, they're 127 00:06:19,000 --> 00:06:21,839 Speaker 3: getting costs down and so forth. I think the main 128 00:06:22,160 --> 00:06:26,240 Speaker 3: focus this reporting season has been on where are the 129 00:06:26,320 --> 00:06:29,080 Speaker 3: threats in AI and particularly in the software sector. That's 130 00:06:29,120 --> 00:06:31,520 Speaker 3: been it's been with us now for a few months 131 00:06:31,560 --> 00:06:34,200 Speaker 3: since late last year. It really really accelerated in the 132 00:06:34,240 --> 00:06:37,280 Speaker 3: last few weeks when we saw anthropics start to bring 133 00:06:37,320 --> 00:06:41,520 Speaker 3: out those specific tools, you know, those vertical tools for 134 00:06:41,920 --> 00:06:44,479 Speaker 3: legal work and financial work, and everyone us spook that 135 00:06:44,480 --> 00:06:47,600 Speaker 3: this is going to totally change. You know, software as 136 00:06:47,600 --> 00:06:50,279 Speaker 3: a service has a business model watch as individual companies. 137 00:06:51,040 --> 00:06:53,440 Speaker 3: That's that's remarkable, and we have a few things to 138 00:06:53,480 --> 00:06:57,080 Speaker 3: say on that. But you know, that's the AI stories is, 139 00:06:57,440 --> 00:06:59,560 Speaker 3: It's got so many layers to it, and I think 140 00:06:59,640 --> 00:07:03,680 Speaker 3: right now it's just we just you know, they're arguing 141 00:07:03,680 --> 00:07:05,200 Speaker 3: winners and losers out of this. For the market seems 142 00:07:05,200 --> 00:07:06,640 Speaker 3: to be saying let's just sell everything that seems to 143 00:07:06,680 --> 00:07:09,600 Speaker 3: be even tangentially linked to software, which is which we 144 00:07:09,600 --> 00:07:11,640 Speaker 3: think successive in many cases. 145 00:07:12,360 --> 00:07:14,240 Speaker 1: Do you I mean so insurers were another one that 146 00:07:14,360 --> 00:07:18,800 Speaker 1: was sold off last week. I think, is it possible 147 00:07:18,840 --> 00:07:21,960 Speaker 1: to work out whether you know, QBE or Sun Corp 148 00:07:22,080 --> 00:07:24,960 Speaker 1: or IAG is going to benefit because you can imagine 149 00:07:24,960 --> 00:07:28,200 Speaker 1: it would benefit or lose out, is it actually can 150 00:07:28,240 --> 00:07:28,800 Speaker 1: you work it out? 151 00:07:28,800 --> 00:07:31,559 Speaker 2: At this point? I think it's very early days. 152 00:07:31,600 --> 00:07:34,960 Speaker 3: And I think we don't want to dismiss the threat 153 00:07:35,000 --> 00:07:38,360 Speaker 3: of AI as a disruptor because it absolutely is for 154 00:07:38,400 --> 00:07:42,040 Speaker 3: some businesses, and it's probably existential. You know, if you're 155 00:07:42,160 --> 00:07:45,560 Speaker 3: a you know, a simple project management software business and 156 00:07:45,600 --> 00:07:48,280 Speaker 3: you have one product and you serve fairly simple customers 157 00:07:48,320 --> 00:07:49,880 Speaker 3: and you're not very integrated, you may. 158 00:07:49,800 --> 00:07:53,360 Speaker 2: Well absolutely be killed by vibe coding, you. 159 00:07:53,280 --> 00:07:56,680 Speaker 3: Know, with these other businesses with QB or the insurers 160 00:07:56,720 --> 00:07:59,720 Speaker 3: in general, look obviously this opportunity on the cost side 161 00:07:59,720 --> 00:08:03,040 Speaker 3: and make yourself more efficient. I think the question is 162 00:08:03,600 --> 00:08:05,720 Speaker 3: do you actually have the pricing power to hold onto 163 00:08:05,760 --> 00:08:07,840 Speaker 3: any of those gains and business is where they don't 164 00:08:07,840 --> 00:08:09,920 Speaker 3: have a mode or pricing power. Will you think most 165 00:08:09,960 --> 00:08:12,440 Speaker 3: hats can get passed on to the customer. I don't 166 00:08:12,480 --> 00:08:15,040 Speaker 3: think they're going to be you know, disintermediated by AI 167 00:08:15,080 --> 00:08:17,559 Speaker 3: as a business model, but I'm not sure they'll actually 168 00:08:17,600 --> 00:08:20,880 Speaker 3: keep all of the benefits either of any cost out 169 00:08:21,040 --> 00:08:23,120 Speaker 3: because it's competitive industry and we don't see a lot 170 00:08:23,120 --> 00:08:26,280 Speaker 3: of modes there, so I'm not sure that that's you know, 171 00:08:26,280 --> 00:08:29,360 Speaker 3: we're not really looking at big changes on that side. 172 00:08:29,880 --> 00:08:31,920 Speaker 3: On the other side, again, on the threat side, though, 173 00:08:31,960 --> 00:08:35,120 Speaker 3: if you are you know, really integrated at the core 174 00:08:35,160 --> 00:08:37,680 Speaker 3: of your customers, your software business is deeply embedded, you 175 00:08:37,720 --> 00:08:40,160 Speaker 3: have switching costs and network effects, I think it's much 176 00:08:40,160 --> 00:08:45,199 Speaker 3: harder for someone to vibe code an alternative to your 177 00:08:45,400 --> 00:08:49,680 Speaker 3: software offering zero wise tech technology one come to mind 178 00:08:50,040 --> 00:08:51,640 Speaker 3: in that class of high quality. 179 00:08:51,360 --> 00:08:54,640 Speaker 1: Software business I mean, just go I mean because tech 180 00:08:54,679 --> 00:08:58,360 Speaker 1: has bounced, it bounced yesterday, but it really has been 181 00:08:58,559 --> 00:09:00,800 Speaker 1: under fire. Do you think that's two? I mean you 182 00:09:00,920 --> 00:09:03,760 Speaker 1: mentioned three high quality businesses there. They're not going to 183 00:09:03,760 --> 00:09:04,240 Speaker 1: fall over? 184 00:09:05,000 --> 00:09:06,080 Speaker 2: Yeah, I don't think. 185 00:09:06,080 --> 00:09:08,920 Speaker 3: And implicitly the market's saying, you know, it's still ascribing 186 00:09:09,000 --> 00:09:12,319 Speaker 3: value to taking zero. It's not saying they're going to zero, 187 00:09:13,200 --> 00:09:17,960 Speaker 3: no pun intended. I think the thing with say, you know, 188 00:09:18,040 --> 00:09:21,720 Speaker 3: with them coming back and you know, dipping and diving 189 00:09:21,720 --> 00:09:23,319 Speaker 3: in all of the places that we're all. I think 190 00:09:23,320 --> 00:09:26,160 Speaker 3: everyone's trying to figure this out. To some extent, we 191 00:09:26,200 --> 00:09:28,080 Speaker 3: don't really know exactly how it plays out. It would 192 00:09:28,080 --> 00:09:29,720 Speaker 3: be humorous to say we know for sure who's going 193 00:09:29,760 --> 00:09:31,320 Speaker 3: to be the winner and the loser. But the framework 194 00:09:31,400 --> 00:09:34,640 Speaker 3: we take to it is the mote framework, which businesses 195 00:09:34,679 --> 00:09:37,880 Speaker 3: have core attributes that seem like they would be harder 196 00:09:37,960 --> 00:09:40,320 Speaker 3: to disrupt from a challenger, and as I said, things 197 00:09:40,440 --> 00:09:43,000 Speaker 3: like a big switching cost that will be one and 198 00:09:43,080 --> 00:09:45,560 Speaker 3: network effect where it's not really the software that's the 199 00:09:45,640 --> 00:09:48,920 Speaker 3: main main attraction, it's actually the network. 200 00:09:48,520 --> 00:09:50,240 Speaker 2: Of people that are using your software. 201 00:09:50,920 --> 00:09:53,880 Speaker 3: A classic example would be zero, where you know, all 202 00:09:53,920 --> 00:09:55,960 Speaker 3: the accountants are on zero because zero gives it to 203 00:09:56,000 --> 00:09:57,520 Speaker 3: them for free, and so that means that all the 204 00:09:57,559 --> 00:10:00,480 Speaker 3: customers are encouraged to go on to zero, and then 205 00:10:00,600 --> 00:10:02,559 Speaker 3: when more costs are on zero, then more accountants go 206 00:10:02,600 --> 00:10:05,040 Speaker 3: on zero, and then it's just this sort of perpetuating cycle. 207 00:10:05,080 --> 00:10:08,600 Speaker 3: And that's a nice one to protect you from from competition. 208 00:10:08,880 --> 00:10:10,120 Speaker 2: Proprietary data as. 209 00:10:10,040 --> 00:10:13,160 Speaker 3: Well, would be another one that's you know, might insulate 210 00:10:13,240 --> 00:10:16,040 Speaker 3: you to some degree because AI is trained on public data. 211 00:10:16,160 --> 00:10:17,880 Speaker 3: So those are the kind of features we're looking for, 212 00:10:17,920 --> 00:10:21,480 Speaker 3: and we're trying to pass out who were the potential 213 00:10:21,520 --> 00:10:23,559 Speaker 3: winners or at least the people that can defend themselves 214 00:10:23,679 --> 00:10:25,040 Speaker 3: versus the losers. 215 00:10:25,720 --> 00:10:28,640 Speaker 1: As a strategist, do you like earning season or is 216 00:10:28,679 --> 00:10:29,320 Speaker 1: it too busy? 217 00:10:30,240 --> 00:10:30,600 Speaker 2: Ah? 218 00:10:30,640 --> 00:10:32,800 Speaker 3: Look, it's busy, But I suppose what would be the 219 00:10:32,960 --> 00:10:35,600 Speaker 3: point in being a public markets investor if you've never 220 00:10:35,600 --> 00:10:38,400 Speaker 3: got an information about the companies? It won't so I 221 00:10:38,440 --> 00:10:41,240 Speaker 3: guess it's I suppose the necessary evil perhaps been nicely 222 00:10:41,240 --> 00:10:43,199 Speaker 3: they spread it across the year, but it's not what 223 00:10:43,360 --> 00:10:46,160 Speaker 3: we live in. So it's better information than not. 224 00:10:46,720 --> 00:10:48,400 Speaker 1: Lock And thank you for talking to Fearing greed. 225 00:10:48,640 --> 00:10:49,480 Speaker 2: Thanks for having me again. 226 00:10:49,520 --> 00:10:52,680 Speaker 1: Schel Now's the Morning Start. Equity market strategist at Lachlan 227 00:10:52,760 --> 00:10:56,480 Speaker 1: Hallaway just reminded to seek professional advice before making investment decisions. 228 00:10:56,520 --> 00:10:59,640 Speaker 1: I'm Sean Elmer and this is fearing greed Q one day, 229 00:11:00,040 --> 00:11:01,840 Speaker 1: do think of anything