1 00:00:01,320 --> 00:00:03,600 Speaker 1: Calls for one of the most talked about recessions in 2 00:00:03,760 --> 00:00:06,720 Speaker 1: history are starting to receive. Bank of America now sees 3 00:00:06,760 --> 00:00:10,280 Speaker 1: that fed's interest rate hike ending in a soft landing 4 00:00:10,320 --> 00:00:10,960 Speaker 1: out You might. 5 00:00:10,880 --> 00:00:13,480 Speaker 2: Have noticed that, after many months of bracing for a 6 00:00:13,600 --> 00:00:18,360 Speaker 2: sharp downturn in the US economy, some prominent economists, CEOs 7 00:00:18,360 --> 00:00:21,520 Speaker 2: and market watchers have begun to sound a bit more 8 00:00:21,600 --> 00:00:25,680 Speaker 2: confident that the US will avoid a recession. But you 9 00:00:25,800 --> 00:00:29,000 Speaker 2: might not want to count on it. Bloomberg's chief US 10 00:00:29,040 --> 00:00:32,320 Speaker 2: economist Anna Wong, along with a team here at Bloomberg, 11 00:00:32,479 --> 00:00:35,920 Speaker 2: crunched all the numbers, and she's here to explain why 12 00:00:35,960 --> 00:00:38,960 Speaker 2: a recession is in fact still likely on the way 13 00:00:39,400 --> 00:00:40,760 Speaker 2: and possibly soon. 14 00:00:41,560 --> 00:00:45,360 Speaker 3: There's always a chance this soft landing will be the reality. 15 00:00:45,479 --> 00:00:48,639 Speaker 3: But I think that hinges on an assumption that this 16 00:00:48,760 --> 00:00:49,680 Speaker 3: time is different. 17 00:00:54,280 --> 00:00:58,000 Speaker 2: I'm Weskasova today on the big take why the landing 18 00:00:58,240 --> 00:01:10,280 Speaker 2: might not be soft and a you and Bloomberg's chief 19 00:01:10,280 --> 00:01:14,040 Speaker 2: economist Tom Orlick right in this new analysis that when 20 00:01:14,120 --> 00:01:18,959 Speaker 2: everyone expects a soft landing, brace for impact, Why do 21 00:01:19,040 --> 00:01:21,120 Speaker 2: you say that, Why do you think that a recession 22 00:01:21,480 --> 00:01:23,319 Speaker 2: is still the most likely outcome? 23 00:01:23,920 --> 00:01:27,039 Speaker 3: It's stumped from this observation where we look at the 24 00:01:27,040 --> 00:01:30,520 Speaker 3: past recessions and found that indeed, media mentions of the 25 00:01:30,560 --> 00:01:34,640 Speaker 3: word soft landing, and even corporate filings and corporate presentations 26 00:01:34,720 --> 00:01:38,800 Speaker 3: research whenever the word soft lending is at a peak 27 00:01:38,959 --> 00:01:42,360 Speaker 3: that actually precedes the two thousand and eight recession, that 28 00:01:42,400 --> 00:01:45,000 Speaker 3: preceded the two thousand two, two thousand and one recession, 29 00:01:45,240 --> 00:01:49,040 Speaker 3: the nineteen ninety recession. There seems to be something there 30 00:01:49,320 --> 00:01:53,160 Speaker 3: that made us to look deeper into why people tend 31 00:01:53,200 --> 00:01:56,680 Speaker 3: to call on a soft lending right before recession, and overall, 32 00:01:56,760 --> 00:01:59,880 Speaker 3: our takeaway from that exercise is that there's more reason 33 00:02:00,360 --> 00:02:03,080 Speaker 3: to think that a recession is more likely than a 34 00:02:03,080 --> 00:02:03,680 Speaker 3: soft lending. 35 00:02:04,400 --> 00:02:08,360 Speaker 2: So let's walk through the data that you compile for 36 00:02:08,720 --> 00:02:12,720 Speaker 2: this article and all the things that went into this conclusion. 37 00:02:13,240 --> 00:02:16,480 Speaker 2: You start the analysis with a quote from someone we're 38 00:02:16,520 --> 00:02:18,079 Speaker 2: all very familiar with. 39 00:02:18,400 --> 00:02:23,320 Speaker 3: Yes Jennett Yellen. In October two thousand and seven, just 40 00:02:23,480 --> 00:02:27,600 Speaker 3: two months before the Great Recession, she said that the 41 00:02:27,680 --> 00:02:31,280 Speaker 3: most likely outcome is a soft landing. At that time, 42 00:02:31,320 --> 00:02:35,040 Speaker 3: the economics data, very similar to today now points to 43 00:02:35,440 --> 00:02:40,760 Speaker 3: things looking rosier than everybody expected. Economic data we're surprising 44 00:02:40,880 --> 00:02:45,399 Speaker 3: on the upside. PMI was etching back up, which means 45 00:02:45,440 --> 00:02:49,560 Speaker 3: Purchaser's Manager index. That index tends to be one of 46 00:02:49,600 --> 00:02:53,959 Speaker 3: the earliest data that indicate whether the economy accelerating or decelerating. 47 00:02:54,480 --> 00:02:59,000 Speaker 3: So even that PMI survey shows an acceleration on the 48 00:02:59,000 --> 00:03:01,760 Speaker 3: eve of the two thousand and then seven recessions. So 49 00:03:01,800 --> 00:03:04,920 Speaker 3: I think that the confidence one could place on the 50 00:03:05,000 --> 00:03:08,720 Speaker 3: PMI surveys is in terms of predicting the start of 51 00:03:08,720 --> 00:03:13,320 Speaker 3: a recession, should be pretty low. We see a lot 52 00:03:13,320 --> 00:03:17,960 Speaker 3: of similarities today. Our number one reason for why we 53 00:03:18,040 --> 00:03:21,160 Speaker 3: still think of recession is most likely is because in 54 00:03:21,200 --> 00:03:24,600 Speaker 3: the past recessions, the number one culprit for creating that 55 00:03:24,639 --> 00:03:28,240 Speaker 3: recession is the FED, and the FED tends to murder expansions. 56 00:03:28,880 --> 00:03:32,880 Speaker 3: And if you look at the legs of monetary policy, 57 00:03:33,320 --> 00:03:36,560 Speaker 3: what we learned is that even within a tightening cycle, 58 00:03:36,680 --> 00:03:41,360 Speaker 3: there are various length to these lags. So I think 59 00:03:41,560 --> 00:03:45,160 Speaker 3: one reason why the soft lending believers think that the 60 00:03:45,200 --> 00:03:48,880 Speaker 3: tightening effects of monetary policy is over ready is because 61 00:03:48,880 --> 00:03:54,400 Speaker 3: you see this reacceleration in manufacturing financial conditions earlier, when 62 00:03:54,400 --> 00:03:57,600 Speaker 3: the stocks keep on rising, and we also see that 63 00:03:58,040 --> 00:04:01,160 Speaker 3: housing market is starting to turn up. Well, it turns 64 00:04:01,200 --> 00:04:04,120 Speaker 3: out that those places are also where the legs of 65 00:04:04,240 --> 00:04:08,320 Speaker 3: monetary policy are the shortest. The place where monetary policy 66 00:04:08,360 --> 00:04:11,640 Speaker 3: takes the longest to work is the labor market and 67 00:04:11,880 --> 00:04:15,200 Speaker 3: also in the credits market, And there are reasons to 68 00:04:15,280 --> 00:04:18,640 Speaker 3: believe that these two places we have still yet to 69 00:04:18,720 --> 00:04:22,760 Speaker 3: see the majority of the rate hypes effects. And once 70 00:04:22,880 --> 00:04:26,039 Speaker 3: these two places labor market and credit markets start seeing 71 00:04:26,040 --> 00:04:29,520 Speaker 3: those effects, that is when you have this non linear 72 00:04:29,920 --> 00:04:31,839 Speaker 3: downturn that will jump start a recession. 73 00:04:32,560 --> 00:04:34,640 Speaker 2: And another thing you write is that a lot of 74 00:04:34,640 --> 00:04:39,080 Speaker 2: the assumptions underlying projections are that the trends we've been 75 00:04:39,120 --> 00:04:41,680 Speaker 2: seeing are going to continue moving in the same way, 76 00:04:41,720 --> 00:04:43,680 Speaker 2: and that that might not be the case. 77 00:04:44,440 --> 00:04:48,120 Speaker 3: When one think about soft lending, one is implicitly assuming 78 00:04:48,240 --> 00:04:51,760 Speaker 3: that the unemployment rate will continue to stay low. But 79 00:04:51,839 --> 00:04:54,200 Speaker 3: when you look at the lessons of recessions over the 80 00:04:54,240 --> 00:04:57,000 Speaker 3: past fifty years, one thing that jump out at us 81 00:04:57,120 --> 00:05:00,600 Speaker 3: is that usually when this recession begins, you see this 82 00:05:00,839 --> 00:05:05,039 Speaker 3: non leniar jump in unemployment rate. It's very hard to 83 00:05:05,800 --> 00:05:09,360 Speaker 3: forecast this non lenear jump and when this jump will happen. 84 00:05:09,920 --> 00:05:12,200 Speaker 3: I think the lesson is that when you look at 85 00:05:12,200 --> 00:05:16,120 Speaker 3: all these mean forecasts showing a soft landing showing that 86 00:05:16,240 --> 00:05:18,960 Speaker 3: unemployment rate would day between three point a to four 87 00:05:19,000 --> 00:05:22,440 Speaker 3: point one percent next year. You are not taking into 88 00:05:22,520 --> 00:05:26,800 Speaker 3: account the risks that skewed the distribution of forecasts on 89 00:05:26,839 --> 00:05:30,599 Speaker 3: the upside. So once we put estimate on the risks 90 00:05:30,640 --> 00:05:34,640 Speaker 3: based on historical episodes of recession, it just turns out 91 00:05:34,640 --> 00:05:38,320 Speaker 3: that the upside risk of the unemployment forecast is way 92 00:05:38,400 --> 00:05:41,919 Speaker 3: higher than low side risk to unemployment forecasts. 93 00:05:42,520 --> 00:05:45,920 Speaker 2: And one reason why these trends might not continue is 94 00:05:45,920 --> 00:05:48,280 Speaker 2: that there are so many things that could sort of 95 00:05:48,560 --> 00:05:51,400 Speaker 2: crash into those assumptions that are unpredictable. 96 00:05:52,240 --> 00:05:55,919 Speaker 3: So you're right. Recessions are usually happen not because the 97 00:05:56,000 --> 00:05:59,520 Speaker 3: economy slowly drip drip dripped down to a low growth regime. 98 00:05:59,560 --> 00:06:04,080 Speaker 3: It's due to a sudden confluence of shocks, and in fact, 99 00:06:04,120 --> 00:06:08,880 Speaker 3: we are seeing at least five shocks in the immediate horizon. 100 00:06:09,320 --> 00:06:11,280 Speaker 3: The first one is oil price shocks. 101 00:06:11,680 --> 00:06:14,839 Speaker 4: Oil has resumed a rally after an industry estimate pointed 102 00:06:14,880 --> 00:06:18,200 Speaker 4: to a huge drawdown in US inventries, adding to signals 103 00:06:18,200 --> 00:06:19,400 Speaker 4: that the market is tightening. 104 00:06:19,800 --> 00:06:24,120 Speaker 3: Aside from FED funds rate hikes, The second most popular 105 00:06:24,480 --> 00:06:28,320 Speaker 3: culprit of recession is oil price increase. We have seen 106 00:06:28,640 --> 00:06:31,960 Speaker 3: a twenty five dollars increase in oil price in just 107 00:06:32,000 --> 00:06:34,839 Speaker 3: a matter of a couple months. That would shave off 108 00:06:35,080 --> 00:06:40,200 Speaker 3: growth from consumption spending. Another second shock that we're seeing 109 00:06:40,320 --> 00:06:44,240 Speaker 3: is that people are starting to repay their student loans again. 110 00:06:44,120 --> 00:06:46,880 Speaker 1: Now to federal student loan payments for turning after a 111 00:06:46,960 --> 00:06:49,680 Speaker 1: three year pause, tens of millions of Americans. They are 112 00:06:49,680 --> 00:06:52,279 Speaker 1: back on the hook this morning making those payments again 113 00:06:52,360 --> 00:06:55,360 Speaker 1: amid stubborn inflation and rising interest rates. 114 00:06:55,520 --> 00:06:58,200 Speaker 3: We expect that that will pretty much take off about 115 00:06:58,240 --> 00:07:01,719 Speaker 3: three hundred dollars per household in consumption and money that 116 00:07:01,720 --> 00:07:04,840 Speaker 3: they could put toward consumption. Other than that, we still 117 00:07:04,920 --> 00:07:09,040 Speaker 3: have a government shut down risk. The stop gap bill 118 00:07:09,120 --> 00:07:12,400 Speaker 3: that was passed over the weekend only kicked the can 119 00:07:12,560 --> 00:07:15,840 Speaker 3: down the world to about mid November where there would 120 00:07:15,840 --> 00:07:21,680 Speaker 3: be another shut down negotiations again, So that will potentially 121 00:07:21,920 --> 00:07:26,400 Speaker 3: lead to seven hundred thousand federal workers being furloughed. On 122 00:07:26,440 --> 00:07:30,120 Speaker 3: top of that, you also have the United Autos Workers strike. 123 00:07:30,000 --> 00:07:33,480 Speaker 4: In the United Autoworkers' Union, putting more pressure on the 124 00:07:33,480 --> 00:07:38,280 Speaker 4: Big three US carmakers GM four than Silantis. It plans 125 00:07:38,280 --> 00:07:40,800 Speaker 4: to expand its strikes if there is no progress in 126 00:07:40,880 --> 00:07:43,880 Speaker 4: contract talks via Friday deadline. 127 00:07:43,920 --> 00:07:46,600 Speaker 3: Even though right now the strikes are pretty narrow that 128 00:07:46,720 --> 00:07:50,640 Speaker 3: affecting only twenty five thousand auto workers, we looked into 129 00:07:50,800 --> 00:07:55,000 Speaker 3: the supply chain relationships of the auto manufacturing sector and 130 00:07:55,040 --> 00:07:57,480 Speaker 3: it turns out that the auto sector has one of 131 00:07:57,480 --> 00:08:01,239 Speaker 3: the longest supply chain in auto sectors. In other words, 132 00:08:01,720 --> 00:08:05,520 Speaker 3: even though the strikes are concentrated in auto plants, because 133 00:08:05,560 --> 00:08:10,320 Speaker 3: it sourced from so many other sectors such as steel, rubber, chemical, 134 00:08:10,400 --> 00:08:15,560 Speaker 3: even service management consultant, when you have a paralysis of 135 00:08:15,640 --> 00:08:18,960 Speaker 3: production in auto, you actually lead to layoff in all 136 00:08:18,960 --> 00:08:22,040 Speaker 3: the other sectors. So we estimate that twenty five thousand 137 00:08:22,120 --> 00:08:25,920 Speaker 3: autoworker strike could ultimately lead to one hundred and thirty 138 00:08:25,960 --> 00:08:30,360 Speaker 3: thousand layoffs across all the other industries. If the UAW 139 00:08:30,440 --> 00:08:33,680 Speaker 3: strikes were too broaden too, the entire membership of the 140 00:08:33,800 --> 00:08:36,480 Speaker 3: United Autos Worker Union, which is about one hundred and 141 00:08:36,480 --> 00:08:40,320 Speaker 3: fifty thousand workers, that could ultimately lead to about seven 142 00:08:40,440 --> 00:08:44,400 Speaker 3: hundred and sixty thousand layoffs across the entire economy. So 143 00:08:44,440 --> 00:08:47,840 Speaker 3: it's actually a pretty substantial threat to economic growth. 144 00:08:47,880 --> 00:08:48,120 Speaker 4: There. 145 00:08:48,720 --> 00:08:52,640 Speaker 3: All these shocks could easily reduce about one percentage point 146 00:08:53,080 --> 00:08:57,160 Speaker 3: off GDP growth in the fourth quarter and raise unemployment 147 00:08:57,280 --> 00:08:59,840 Speaker 3: rate by enough to generate a recession. 148 00:09:02,040 --> 00:09:04,560 Speaker 2: And those are just the different shocks that could happen 149 00:09:04,679 --> 00:09:07,400 Speaker 2: within the US. You also write that the rest of 150 00:09:07,440 --> 00:09:10,360 Speaker 2: the world could wind up dragging the US economy down 151 00:09:10,400 --> 00:09:10,720 Speaker 2: a bit. 152 00:09:11,280 --> 00:09:14,760 Speaker 3: Let's talk about China. China is the second largest economy 153 00:09:14,760 --> 00:09:19,200 Speaker 3: in the world. Especially within China, the property market usually 154 00:09:19,400 --> 00:09:23,160 Speaker 3: is a big factor in generating growth within China. Our 155 00:09:23,200 --> 00:09:25,960 Speaker 3: team members from China are telling us that there is 156 00:09:26,000 --> 00:09:30,080 Speaker 3: a structural weakness in the Chinese economy, some scarring effect 157 00:09:30,320 --> 00:09:34,360 Speaker 3: within households after the pandemic that lead them to revise 158 00:09:34,520 --> 00:09:38,680 Speaker 3: down China's growth through the medium horizon. If China does 159 00:09:38,760 --> 00:09:42,800 Speaker 3: slow more visibly, that would affect commodity prices, that would 160 00:09:42,840 --> 00:09:48,080 Speaker 3: affect the motivation to invest in equipment spending. Usually when 161 00:09:48,080 --> 00:09:50,920 Speaker 3: you see global growth slow down, the first place you 162 00:09:50,960 --> 00:09:54,760 Speaker 3: see in the US economic data is in equipment's investment. 163 00:09:55,360 --> 00:09:58,200 Speaker 3: So that could further drag down GDP growth. 164 00:09:59,120 --> 00:10:02,960 Speaker 2: When we come back, can consumer spending word offer recession 165 00:10:11,920 --> 00:10:13,840 Speaker 2: and on one of the bright spots in the US 166 00:10:13,880 --> 00:10:17,240 Speaker 2: economy even with the recession fears has been consumer spending 167 00:10:17,559 --> 00:10:20,760 Speaker 2: has remained really strong, and now you're finding that maybe 168 00:10:20,760 --> 00:10:21,920 Speaker 2: that might not last either. 169 00:10:22,679 --> 00:10:26,600 Speaker 3: One of the most popular cited reasons for the soft 170 00:10:26,640 --> 00:10:30,920 Speaker 3: lend is the resiliency of consumption, right, and I would 171 00:10:30,960 --> 00:10:34,640 Speaker 3: say that there are two reasons to doubt why consumption 172 00:10:34,760 --> 00:10:38,920 Speaker 3: should not be a key predictor. Number One. In past recessions, 173 00:10:39,160 --> 00:10:43,719 Speaker 3: services consumption remain resilient even in a recession. I think 174 00:10:43,760 --> 00:10:48,280 Speaker 3: the median American household consumer is not a forelooking person. 175 00:10:48,640 --> 00:10:51,440 Speaker 3: As long as you can borrow, you spend, So this 176 00:10:51,559 --> 00:10:56,679 Speaker 3: is why even in a downturm, people still spend in services. Second, 177 00:10:57,000 --> 00:11:00,800 Speaker 3: if consumption does slow down, that as additional bad news 178 00:11:01,000 --> 00:11:04,600 Speaker 3: on economic growth. And we do see some good reasons 179 00:11:04,640 --> 00:11:08,160 Speaker 3: why it would slow down ultimately, and one of them 180 00:11:08,280 --> 00:11:11,400 Speaker 3: is that I mentioned the resumption of student loan payments. 181 00:11:11,440 --> 00:11:14,440 Speaker 3: We think that that would altogether add up to about 182 00:11:14,480 --> 00:11:18,880 Speaker 3: seventy billion dollars per year spent on paying back student 183 00:11:18,920 --> 00:11:24,000 Speaker 3: loans instead of spending on things and services. Another reason 184 00:11:24,120 --> 00:11:28,120 Speaker 3: is because all these pandemic savings that people had from 185 00:11:28,320 --> 00:11:32,120 Speaker 3: either a paycheck from the government or from forced saving 186 00:11:32,200 --> 00:11:35,200 Speaker 3: because they were not able to spend during the shutdown years, 187 00:11:35,800 --> 00:11:39,120 Speaker 3: those savings are running down for about eighty percent of 188 00:11:39,160 --> 00:11:44,200 Speaker 3: the American households. And finally, this summer, we actually saw 189 00:11:44,240 --> 00:11:48,400 Speaker 3: a once in a blue moon kind of consumption spending splurreed. 190 00:11:48,960 --> 00:11:53,800 Speaker 3: That's due to three cultural phenomena in the US. Number one, 191 00:11:53,880 --> 00:11:58,080 Speaker 3: you have the Barbenheimer movie release that led a lot 192 00:11:58,120 --> 00:12:01,560 Speaker 3: of people to go back to movie theaters. And number two, 193 00:12:01,679 --> 00:12:05,840 Speaker 3: you have Taylor Swift concert tours in the US. On 194 00:12:05,960 --> 00:12:08,559 Speaker 3: top of that, you have Beyonces concert tour in the 195 00:12:08,640 --> 00:12:12,959 Speaker 3: US as well. Imagine this, Each person on average who 196 00:12:13,040 --> 00:12:17,200 Speaker 3: go to a Taylor Swift concert pay fifteen hundred dollars 197 00:12:17,520 --> 00:12:23,880 Speaker 3: for altogether at the concert tickets, hotel fans, memorabilia, airline tickets, 198 00:12:24,520 --> 00:12:28,640 Speaker 3: and for Beyonce, the average concert goer spend even more 199 00:12:28,720 --> 00:12:32,400 Speaker 3: because the typical fan of Beyonce is older than a 200 00:12:32,559 --> 00:12:36,640 Speaker 3: typical person who goes to Taylor Swift concert. So what 201 00:12:36,720 --> 00:12:40,360 Speaker 3: you see is then a Q three Barbenheimer Taylor Swift 202 00:12:40,360 --> 00:12:44,640 Speaker 3: beyond explosion of things that cause people to spend irrationally 203 00:12:44,840 --> 00:12:47,679 Speaker 3: because they just want to go for it. And then 204 00:12:47,720 --> 00:12:50,640 Speaker 3: in Q four you have this nuclear winter of entertainment 205 00:12:50,679 --> 00:12:54,000 Speaker 3: because of Hollywood writer strikes no more Taylor Swift, no 206 00:12:54,040 --> 00:12:57,720 Speaker 3: more Beyonce. So you have this cliff of services spending. 207 00:12:58,400 --> 00:13:02,240 Speaker 3: So what we're expecting is this big drop off in 208 00:13:02,240 --> 00:13:06,360 Speaker 3: consumption spending will start to become evident in consumption data 209 00:13:06,400 --> 00:13:07,240 Speaker 3: in the coming months. 210 00:13:09,120 --> 00:13:11,920 Speaker 2: And Enna, you actually were able to put a figure 211 00:13:12,000 --> 00:13:16,079 Speaker 2: on just how much all of these cultural events added 212 00:13:16,080 --> 00:13:17,120 Speaker 2: to the US economy. 213 00:13:17,440 --> 00:13:21,360 Speaker 3: Yes, we estimate that those three things together added about 214 00:13:21,360 --> 00:13:24,720 Speaker 3: eight point five billion to the third quarter growth in 215 00:13:24,920 --> 00:13:29,679 Speaker 3: annualized growth domestic product growth terms, that is about zero 216 00:13:29,760 --> 00:13:33,480 Speaker 3: point five percentage point. You added point five percentage point 217 00:13:33,480 --> 00:13:36,319 Speaker 3: to Q three, then you must have point five percentage 218 00:13:36,320 --> 00:13:39,600 Speaker 3: point subtracted off Q four if you'd no longer have 219 00:13:39,679 --> 00:13:40,920 Speaker 3: those growth drivers. 220 00:13:41,480 --> 00:13:45,280 Speaker 2: That's an astonishing figure that those things could have such 221 00:13:45,320 --> 00:13:48,800 Speaker 2: an effect on an economy as large as the US is. 222 00:13:49,440 --> 00:13:51,480 Speaker 3: It's like an Olympic event basically. 223 00:13:52,640 --> 00:13:54,920 Speaker 2: And you said that people will spend as long as 224 00:13:54,920 --> 00:13:57,199 Speaker 2: they're able to borrow. And that's another thing that you 225 00:13:57,360 --> 00:14:01,559 Speaker 2: found in your analysis that banks are starting to become 226 00:14:01,600 --> 00:14:04,320 Speaker 2: a little stingier when it comes to lending out money. 227 00:14:04,360 --> 00:14:08,440 Speaker 3: We were searching for the one indicator which has a 228 00:14:08,480 --> 00:14:11,800 Speaker 3: good track worker of predicting recession, and when I was 229 00:14:11,840 --> 00:14:16,200 Speaker 3: reading the October two thousand and seven, FOMC transcript. I 230 00:14:16,280 --> 00:14:19,280 Speaker 3: note that their staff was talking about all these positive 231 00:14:19,360 --> 00:14:24,000 Speaker 3: economics surprises. Then the one indicator that showed that something 232 00:14:24,080 --> 00:14:28,320 Speaker 3: bad is happening is the FED Senior Loan Officer's Survey 233 00:14:28,880 --> 00:14:33,200 Speaker 3: or short for SLUS. That survey tells you what are 234 00:14:33,240 --> 00:14:37,280 Speaker 3: the plans of banks in lending. And typically when banks 235 00:14:37,320 --> 00:14:42,680 Speaker 3: indicate that they're planning to reduce lending to consumers reduce 236 00:14:42,760 --> 00:14:47,840 Speaker 3: lendings to firms, that has been a very good indicator 237 00:14:48,000 --> 00:14:51,600 Speaker 3: of credit tightening. And when you don't have credit flowing 238 00:14:51,680 --> 00:14:54,960 Speaker 3: freely in the economy, that's when you start to see 239 00:14:55,120 --> 00:14:57,680 Speaker 3: more clearer signs of slow down in growth. 240 00:14:58,480 --> 00:15:01,120 Speaker 2: When we come back, what would it take to avoid 241 00:15:01,120 --> 00:15:13,560 Speaker 2: a recession? This is all painting a pretty bracing picture 242 00:15:13,600 --> 00:15:15,880 Speaker 2: of what may be ahead of us. And yet you 243 00:15:15,960 --> 00:15:19,000 Speaker 2: also lay out what you call the arguments for the defense, 244 00:15:19,040 --> 00:15:21,960 Speaker 2: the reason why maybe this won't come to pass and 245 00:15:22,000 --> 00:15:24,280 Speaker 2: we will have a bit of a soft landing. Can 246 00:15:24,320 --> 00:15:25,560 Speaker 2: you tell us what they are? 247 00:15:26,440 --> 00:15:29,680 Speaker 3: The best argument for a defense is if you believe 248 00:15:29,720 --> 00:15:34,680 Speaker 3: that there's a productivity boom underway, possibly from AI. If 249 00:15:34,720 --> 00:15:37,920 Speaker 3: you look at the past fifty years of history, of 250 00:15:38,120 --> 00:15:41,920 Speaker 3: FED hiking cycles and soft landing. There had only been 251 00:15:42,120 --> 00:15:45,720 Speaker 3: one successful case of soft landing, which happened in the 252 00:15:45,720 --> 00:15:50,120 Speaker 3: mid nineteen nineties, and that was because Alan Greenspan decided 253 00:15:50,160 --> 00:15:54,120 Speaker 3: not to further hike interest rates because he'd strongly believed 254 00:15:54,120 --> 00:15:58,920 Speaker 3: that productivity growth is rising. Therefore wage growth could continue 255 00:15:58,920 --> 00:16:03,520 Speaker 3: to increase with that gen inflationary pressure. In this case, lately, 256 00:16:03,560 --> 00:16:05,520 Speaker 3: we have been seeing a lot of labor strikes, right, 257 00:16:05,560 --> 00:16:08,400 Speaker 3: and the settlement of these labor strikes shows that people 258 00:16:08,440 --> 00:16:12,160 Speaker 3: are asking for four or five percent wage growth per year, 259 00:16:12,520 --> 00:16:14,320 Speaker 3: and not only for this year but in the next 260 00:16:14,400 --> 00:16:18,119 Speaker 3: couple of years. In order for that to be consistent 261 00:16:18,160 --> 00:16:21,040 Speaker 3: with the FEDS two percent inflation target, it means that 262 00:16:21,320 --> 00:16:24,720 Speaker 3: productivity growth got to pick up to around two percent 263 00:16:25,040 --> 00:16:27,640 Speaker 3: or even three percent from about one point five percent. 264 00:16:28,200 --> 00:16:32,040 Speaker 3: I believe that the FED believes that trend productivity has 265 00:16:32,120 --> 00:16:35,000 Speaker 3: been running at about one point five percent over the 266 00:16:35,040 --> 00:16:38,320 Speaker 3: last couple of years. So if you do believe in 267 00:16:38,360 --> 00:16:42,240 Speaker 3: that AI boom, the FED would allow this wage growth 268 00:16:42,280 --> 00:16:46,480 Speaker 3: increase to happen and sit back and let productivity do 269 00:16:46,560 --> 00:16:50,720 Speaker 3: its work. But I would say that to have confidence 270 00:16:51,000 --> 00:16:55,720 Speaker 3: about this judgment that productivity is rising is as hard 271 00:16:55,880 --> 00:16:59,200 Speaker 3: as having confidence over what the neutral rate that our 272 00:16:59,320 --> 00:17:02,840 Speaker 3: star is, and I think that Chair Powell will not 273 00:17:03,120 --> 00:17:06,400 Speaker 3: have that kind of conviction, strong enough of a conviction 274 00:17:06,920 --> 00:17:11,320 Speaker 3: of a productivity boom underway before he paused the rate hike. 275 00:17:12,240 --> 00:17:14,200 Speaker 2: And then some of the things that you're watching, which 276 00:17:14,240 --> 00:17:16,919 Speaker 2: could spell bad news you say, could turn around and 277 00:17:16,960 --> 00:17:18,840 Speaker 2: wind up actually being good for the economy. 278 00:17:19,240 --> 00:17:22,880 Speaker 3: Yeah. I mean, it could easily be that the UAW 279 00:17:23,040 --> 00:17:27,840 Speaker 3: strike could end tomorrow and then government shut down could 280 00:17:27,840 --> 00:17:32,919 Speaker 3: be completely averted if Republicans and Democrats decide to work together, 281 00:17:33,520 --> 00:17:36,400 Speaker 3: and all that disruption would just be a rounding error 282 00:17:36,440 --> 00:17:40,440 Speaker 3: for Q four. It could also be that Bidenomics could 283 00:17:40,440 --> 00:17:47,320 Speaker 3: be successful in reversing decades of economist's understanding of industrial policies, 284 00:17:47,359 --> 00:17:52,200 Speaker 3: which is that while government subsidization actually helps spur private 285 00:17:52,320 --> 00:17:56,960 Speaker 3: investment in these selected sectors and as a result, lead 286 00:17:57,040 --> 00:18:01,120 Speaker 3: to an investment boom in the US, if that happens, 287 00:18:01,200 --> 00:18:03,280 Speaker 3: we can totally avert a recession. 288 00:18:05,080 --> 00:18:06,960 Speaker 2: But I think we can all hear the skepticism in 289 00:18:06,960 --> 00:18:09,120 Speaker 2: your voice. You don't really think that that's likely. 290 00:18:10,040 --> 00:18:13,399 Speaker 3: I think it really stems from our exercise in this 291 00:18:13,480 --> 00:18:16,680 Speaker 3: piece of article, which is we go back to history 292 00:18:17,119 --> 00:18:21,760 Speaker 3: and look at the probability of what is the most 293 00:18:21,800 --> 00:18:25,520 Speaker 3: likely outcome, and yes, there's always a chance this soft 294 00:18:25,640 --> 00:18:29,560 Speaker 3: landing will be the reality. But I think that hinges 295 00:18:29,680 --> 00:18:33,000 Speaker 3: on an assumption that this time is different, and I 296 00:18:33,040 --> 00:18:36,560 Speaker 3: just feel like it's such a hard argument to make 297 00:18:36,600 --> 00:18:38,920 Speaker 3: that this time is different that I would still say 298 00:18:38,960 --> 00:18:40,440 Speaker 3: our base case is a recession. 299 00:18:41,240 --> 00:18:44,320 Speaker 2: Enna if a recession does come to pass, is there 300 00:18:44,359 --> 00:18:47,639 Speaker 2: any way of telling from all of these numbers that 301 00:18:47,680 --> 00:18:50,560 Speaker 2: you're looking at how deep it will be and how 302 00:18:50,600 --> 00:18:51,520 Speaker 2: long it might last. 303 00:18:52,359 --> 00:18:55,560 Speaker 3: Our base case is for a short and shallow recession. 304 00:18:56,000 --> 00:18:59,800 Speaker 3: But it is a very low conviction call because you 305 00:19:00,359 --> 00:19:03,639 Speaker 3: when a recession happens, it's because all shocks hit the 306 00:19:03,680 --> 00:19:06,200 Speaker 3: economy at the same time and some kind of non 307 00:19:06,320 --> 00:19:10,080 Speaker 3: linearity effect is happening. It's kind of like somebody in 308 00:19:10,119 --> 00:19:13,480 Speaker 3: the movie theater is shouting fire and everybody rushes out 309 00:19:13,520 --> 00:19:16,520 Speaker 3: of exit. It's usually a kind of like a freak 310 00:19:16,560 --> 00:19:19,480 Speaker 3: out moment. It's hard to tell how severe it would 311 00:19:19,520 --> 00:19:21,280 Speaker 3: be once those dynamics kick off. 312 00:19:22,560 --> 00:19:25,800 Speaker 2: Anna, thanks so much for giving us a look at 313 00:19:25,840 --> 00:19:29,600 Speaker 2: what's to come. Thanks thanks for listening to us here 314 00:19:29,640 --> 00:19:32,120 Speaker 2: at the Big Take it's a daily podcast from Bloomberg 315 00:19:32,160 --> 00:19:36,160 Speaker 2: and iHeartRadio. For more shows from iHeartRadio, visit the iHeartRadio app, 316 00:19:36,320 --> 00:19:39,320 Speaker 2: Apple Podcasts, or wherever you listen. And we'd love to 317 00:19:39,359 --> 00:19:42,200 Speaker 2: hear from you. Email us questions or comments to Big 318 00:19:42,240 --> 00:19:45,679 Speaker 2: Take at Bloomberg dot net. The supervising producer of The 319 00:19:45,680 --> 00:19:49,440 Speaker 2: Big Take is Vicky Vergolina. Our senior producer is Catherine Fink. 320 00:19:49,720 --> 00:19:55,359 Speaker 2: Frederica Romanello is our producer. Our associate producer is Zeneb Sidiki. RAPHAELM. 321 00:19:55,440 --> 00:19:58,679 Speaker 2: Seeley is our engineer. Our original music was composed by 322 00:19:58,760 --> 00:20:02,320 Speaker 2: Leo Sidrin west Casova. We'll be back on Monday with 323 00:20:02,440 --> 00:20:04,520 Speaker 2: another Big Take epper great weekend