1 00:00:02,520 --> 00:00:15,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, single best idea and 2 00:00:15,640 --> 00:00:18,799 Speaker 1: we could have had many voices today. Very strong, strong 3 00:00:19,520 --> 00:00:21,560 Speaker 1: Monday for the end of August. The team just did 4 00:00:21,600 --> 00:00:25,959 Speaker 1: a great job getting smart conversations. Henrietta Trees was just 5 00:00:26,040 --> 00:00:30,840 Speaker 1: on fire in studio with Veda partners on the political 6 00:00:30,880 --> 00:00:34,800 Speaker 1: moment of the nation. But without question, the conversation of 7 00:00:34,840 --> 00:00:37,839 Speaker 1: the day it was with a great optimist, Edward Yard 8 00:00:37,880 --> 00:00:40,720 Speaker 1: Denny of your Denny Research. There's two ways to look 9 00:00:40,760 --> 00:00:43,200 Speaker 1: at this. The first is that I was at Jackson 10 00:00:43,280 --> 00:00:46,040 Speaker 1: Hall and I spent more time there than ever ever, 11 00:00:46,159 --> 00:00:50,680 Speaker 1: ever talking about nominal GDP, the combination of real GDP 12 00:00:51,360 --> 00:00:55,440 Speaker 1: and inflation. So if you have buoyant nominal GDP, is 13 00:00:55,480 --> 00:01:00,240 Speaker 1: it because you're getting real economic growth over inflation, or 14 00:01:00,520 --> 00:01:04,600 Speaker 1: you have the same nominal GDP from Okay economic growth 15 00:01:04,640 --> 00:01:10,200 Speaker 1: but more buoyant, larger inflation. Here's Edgyar Denny on how 16 00:01:10,240 --> 00:01:11,280 Speaker 1: it doesn't. 17 00:01:11,240 --> 00:01:16,760 Speaker 2: Matter revenues or revenues. The PE times is done in 18 00:01:16,840 --> 00:01:20,880 Speaker 2: nominal terms, and the E is in nominal terms, so 19 00:01:21,760 --> 00:01:26,959 Speaker 2: that's correct. We look at revenues and then we look 20 00:01:27,000 --> 00:01:31,000 Speaker 2: at earnings, and the implication is profit margins and what 21 00:01:31,080 --> 00:01:33,760 Speaker 2: we see in the data is that the first and 22 00:01:33,840 --> 00:01:39,200 Speaker 2: second quarter earnings were remarkably strong, much stronger than expected. 23 00:01:39,800 --> 00:01:42,080 Speaker 2: They usually is a positive earning surprise, but there was 24 00:01:42,120 --> 00:01:46,320 Speaker 2: particularly strong in both quarters. And now during the second quarter, 25 00:01:46,360 --> 00:01:48,240 Speaker 2: we have earnings on the S and P five hundred 26 00:01:48,520 --> 00:01:50,440 Speaker 2: at an all time record high, and no wonder the 27 00:01:50,480 --> 00:01:53,400 Speaker 2: stock market is an all time record high. Of course, 28 00:01:53,400 --> 00:01:57,720 Speaker 2: it helps that the valuation multiple is elevated at twenty two, 29 00:01:58,520 --> 00:02:01,360 Speaker 2: but I'm thinking the bill market cantinues here on earnings, 30 00:02:01,840 --> 00:02:04,600 Speaker 2: and I think that earnings will continue to push stock 31 00:02:04,680 --> 00:02:05,440 Speaker 2: prices higher. 32 00:02:05,560 --> 00:02:11,040 Speaker 1: Late in our conversation, ed Yard Denny extrapolating out but 33 00:02:11,240 --> 00:02:17,680 Speaker 1: in a very sound, not mathematical, but almost fundamental basis. 34 00:02:17,720 --> 00:02:20,920 Speaker 1: This is the first time I've ever modeled this. While 35 00:02:21,080 --> 00:02:23,320 Speaker 1: ed was talking, and I think Paul Sweeney saved me 36 00:02:23,360 --> 00:02:26,399 Speaker 1: and had a brilliant question. I was on the Bloomberg 37 00:02:27,360 --> 00:02:30,560 Speaker 1: doing the interpolation of if you have a certain number 38 00:02:30,600 --> 00:02:35,639 Speaker 1: for the standard and pores five hundred, it's mathematically better index. 39 00:02:36,040 --> 00:02:38,440 Speaker 1: But if you bring that over to what we're wedded to, 40 00:02:39,080 --> 00:02:43,440 Speaker 1: which is the Dow Jones Industrial average, what number do 41 00:02:43,520 --> 00:02:47,079 Speaker 1: you get. Let's listen to Edgar denny on the standard 42 00:02:47,080 --> 00:02:49,399 Speaker 1: and pores five hundred end of decade. 43 00:02:49,600 --> 00:02:53,400 Speaker 2: If you just kind of take normal assumptions of what 44 00:02:53,440 --> 00:02:56,520 Speaker 2: the economy can deliver and has delivered in the past, 45 00:02:56,639 --> 00:02:59,000 Speaker 2: you get to ten thousand on the S and P 46 00:02:59,160 --> 00:03:02,640 Speaker 2: five hundred by the end of the decade. That's the 47 00:03:02,720 --> 00:03:07,400 Speaker 2: end of twenty twenty nine. And the assumption there is 48 00:03:07,440 --> 00:03:12,280 Speaker 2: that earnings expectations get up to four hundred dollars a share. 49 00:03:12,400 --> 00:03:17,399 Speaker 2: And again, that's all pretty straightforward, consistent with the kind 50 00:03:17,400 --> 00:03:20,920 Speaker 2: of growth, right of six seven eight percent that we've 51 00:03:20,960 --> 00:03:24,919 Speaker 2: seen in earnings over the years. And if we get 52 00:03:24,960 --> 00:03:29,760 Speaker 2: better than that, the market I could very well close 53 00:03:29,840 --> 00:03:30,880 Speaker 2: even higher than that. 54 00:03:31,280 --> 00:03:35,560 Speaker 1: I can't convey how lonely that discussion is. That's the 55 00:03:35,600 --> 00:03:40,680 Speaker 1: first time I've heard SPX ten thousand, by let's call 56 00:03:40,720 --> 00:03:43,960 Speaker 1: it twelve thirty one, twenty nine. I've never thought about 57 00:03:44,000 --> 00:03:48,480 Speaker 1: twenty twenty nine. I'll be like sixty seven years old then. 58 00:03:49,560 --> 00:03:51,280 Speaker 1: But what it comes down to is what does that 59 00:03:51,480 --> 00:03:54,720 Speaker 1: mean for the Dow? And the answer is SPX ten 60 00:03:54,760 --> 00:04:01,280 Speaker 1: thousand is in the vicinity of Dow seventy. I've never 61 00:04:01,360 --> 00:04:02,920 Speaker 1: framed that. I got to go back and do more 62 00:04:02,960 --> 00:04:06,760 Speaker 1: work on this we'll be here all week. Exciting week 63 00:04:06,800 --> 00:04:10,200 Speaker 1: to say the least. On podcasts on Apple, on Spotify, 64 00:04:10,240 --> 00:04:22,080 Speaker 1: on YouTube podcasts, a single best idea