Wednesday, November 29, 2017

Corporate Taxes: Facts vs Fiction

In the realm of economics, there are lots of theories. There are also lots of urban legends. Both are often propagated despite lots of facts that question their credibility. Daniel Patrick Moynihan, the former senator from New York, once said, “Everyone is entitled to his own opinion, but not to his own facts.” In today’s world of “fake news,” sorting out fact from fiction is a challenge. In the realm of economics, there’s no shortage of data, which can be very helpful in discerning the difference between information and disinformation.

Which brings me to the subject of the US corporate tax rate, which Republicans are aiming to cut. The widespread view, especially among Republicans, is that the corporate tax rate is too high. They aim to pass a tax reform package before the end of the year that will lower the statutory rate from 35% to 20%. I’m all for tax cuts. However, I’m having a problem with the data:

(1) GDP data. Yesterday’s GDP release for Q3 included corporate pretax and after-tax corporate profits. The data show that corporations paid $472.9 billion in taxes over the past four quarters through Q3. This series has been hovering in record-high territory around $500 billion since Q2-2014.

Dividing this tax series by pretax profits of $2281.4 billion over this same period shows that the effective tax rate has been significantly below the statutory rate since the start of the previous decade. During Q3, it was only 20.7%!

(2) Treasury data. But wait … the plot thickens: Actual corporate tax revenues collected by the IRS have been consistently less than the corporate taxes included in the GDP measure of corporate profits since the start of the former data series in 1972. For example, over the past four quarters through Q3, the Treasury reported collecting $297.0 billion in corporate tax revenues, 37% less than the $472.9 billion shown by the GDP measure, on a comparable basis.

The shocking result is that the effective corporate tax rate based on actual tax collections was only 13.0% during Q3, and has been mostly well below 20.0% since the start of the previous decade.

What gives? I’m not sure, but I am inclined to follow the money, which tends to support the story told by the IRS data. If so, then Congress may be about to cut a tax that doesn’t need cutting. Or else, the congressional plan is actually reform aiming to stop US companies from using overseas tax dodges by giving them a lower statutory rate at home. We may not be able to see the devil in the details of the bill until it is actually enacted.

Wednesday, November 1, 2017

Happy Days for US Consumers

We live in happy times. How can that be given all the unhappy happenings in DC these days? Apparently, we are all tuning out the political static and focusing on what matters most: jobs. While our politicians continue to promise policies that will create more jobs, we are doing just that despite Washington. As a result, consumer confidence is soaring. Consider the following happy developments:

(1) Consumer confidence. Both the Consumer Sentiment Index (CSI) and the Consumer Confidence Index (CCI) jumped in October. I focus on the average of the two, which we call the “Consumer Optimism Index” (COI). During October, the overall COI jumped to 113.3, the highest since December 2000. Its current conditions component rose to 133.8, the highest since March 2001, while its expectations component rose to 99.8, its best reading since January 2004.

(2) Availability of jobs. Among the plethora of series included in the CSI and CCI surveys of consumer confidence, our favorites are the jobs plentiful, jobs hard to get, and jobs available series from the latter source. During October, 36.3% of respondents agreed that jobs are plentiful, the highest reading since June 2001. The jobs-hard-to-get percentage fell to 17.5%, the lowest since August 2001. It tends to be highly correlated with the unemployment rate, and suggests that the jobless rate is still falling.

(3) Wages. In the past, there was a reasonably good correlation between wage inflation and the jobs plentiful series This was so using the yearly percent change in either average hourly earnings or the Employment Cost Index (ECI). The latest data show that average hourly earnings for production and nonsupervisory workers rose 2.5% y/y during September, while wages and salaries in the ECI rose 2.6% during Q3. Both remain surprisingly low given the plentitude of jobs.

So why are consumers so happy? Jobs are plentiful and wages rising faster than prices. The PCED rose 1.6% y/y during September.

Tuesday, October 3, 2017

Message to Buffett: Thanks a Million!

Among the various stock market valuation gauges, Warren Buffett has said he favors the ratio of the value of all stocks traded in the US to nominal GNP, which is nominal GDP plus net income receipts from the rest of the world. The data for the numerator is included in the Fed’s quarterly Financial Accounts of the United States and lags the GNP report, which is available a couple of weeks after the end of a quarter on a preliminary basis. Needless to say, it isn’t exactly timely data.

However, the S&P 500 price-to-forward-revenues ratio (a.k.a. the price-to-sales ratio), which is available weekly, has been tracking Buffett’s ratio very closely. In an interview with Fortune in December 2001, Buffett said: “For me, the message of that chart is this: If the percentage relationship falls to the 70% or 80% area, buying stocks is likely to work very well for you. If the ratio approaches 200%—as it did in 1999 and a part of 2000—you are playing with fire.” That’s sage advice from the Oracle of Omaha.

Buffett’s ratio rose back to 176% in Q2-2017, nearly matching the Q1-2000 peak of 180, and the weekly measure rose to 198% in mid-September. Yet Buffett chose to ignore all that, predicting that the DJIA will be over 1 million in 100 years. He said that on September 19, 2017, speaking at an event in New York City marking the 100th anniversary of Forbes magazine. Buffett noted that 1,500 different individuals have been featured on Forbes’ list of 400 wealthiest Americans since the start of that tally in 1982. “You don’t see any short sellers” among them, he said, referring to those who expect equity prices will fall. He added, “Being short America has been a loser’s game. I predict to you it will continue to be a loser’s game.” Buffett also said, “Whenever I hear people talk pessimistically about this country, I think they’re out of their mind.”

CNBC reported that Mario Gabelli joked on Twitter about whether Buffett’s normally sunny outlook had darkened given the numbers: “one million in one hundred years ... has Buffett turned bearish?,” Gabelli tweeted. He noted that the roughly 3.9% compound annual growth rate (CAGR) needed to get from where the Dow is today to where Buffett predicts it will be in 2117 would be lower than the 5.5% CAGR from the beginning of the 20th century until now. Let’s have a closer look at the numbers:

(1) I have a monthly series for the DJIA starting December 1920. I can put it on a ratio scale and compare it to alternative compounded annual growth rate (CAGR) lines. During the 1950s to 1970s, the DJIA crawled along between CAGR lines of 4%-5%. During the two bull markets of the 1980s and 1990s, it climbed from a CAGR of about 4% at the August 1982 trough to about 6% at the March 2000 peak. During the 2000s and 2010s, it has been rising around the 6% CAGR trend.

(2) Starting from the last trading day of 2016, when the DJIA was at 19,763, I calculate the following DJIA targets in 2117 in round numbers: 54,000 (1% CAGR), 146,000 (2%), 391,000 (3%), 1,038,000 (4%), and 2,729,000 (5%).

(3) Adjusting for inflation, using the CPI since December 1920, the real DJIA has been rising between the 2%-4% CAGR lines averaging around 3%. Since 2000, it’s been tracking the 3% line quite steadily.

(4) All of the above is based on the long-term annualized return of the DJIA ignoring dividends. Nevertheless, it is interesting that the 3.0% real annualized return from net capital gains isn’t far off the 3.3% average real earnings yield of the S&P 500 since 1952. I derived that yield by subtracting the CPI inflation rate from the S&P 500’s earnings-price ratio.

Tuesday, September 26, 2017

Janet in Wonderland

Borio vs Yellen. Last Wednesday, Fed Chair Yellen, in her press conference following the latest FOMC meeting, reminded me of Alice in Wonderland. She wondered why inflation remained so curiously low. In the world that she knows, ultra-easy monetary policy should stimulate demand for goods and services, lower the unemployment rate, and boost wage inflation, which would then drive up price inflation.

Since the time Yellen became Fed chair on February 3, 2014 through today, the unemployment rate has dropped from 6.7% to 4.4% (from February 2014 through August 2017). Yet over that same period, wage inflation has remained around 2.5% and price inflation has remained below 2.0%. Yellen expected that by now wages would be rising 3%-4%, and prices would be rising around 2% based on the inverse correlation between these inflation rates and the unemployment rate as posited by the Phillips Curve Model (PCM)—which apparently doesn’t work on the other side of the looking glass.

Last Friday, Claudio Borio, the head of the Bank for International Settlements’ (BIS) Monetary and Economic Department, presented a speech explaining to Janet in Wonderland that the real world no longer works the way she believes. The speech was titled “Through the looking glass.” The BIS chief economist started with the following quote:

“‘In another moment Alice was through the glass … Then she began looking about, and noticed that … all the rest was as different as possible’ – Through the Looking Glass, and What Alice Found There, by Lewis Carroll.” He might as well have replaced Alice’s name with Janet’s.

I agree with Borio’s underlying thesis that powerful structural forces have disrupted the traditional PCM, which logically posits that there should be a strong inverse relationship between the unemployment rate and both wage and price inflation. I have been making the case for structural disinflation for almost all 40 years that I’ve been in the forecasting business. I’ve discussed how globalization, technological innovation, demographic changes, and Amazon have subdued inflation and continue to do so.

The central bankers have been late to understand all this. Most still don’t, including Yellen. So it’s nice to see at least one of their kind showing up at the structural disinflation party, which has been in full swing for a very long time.

Yellen’s Mystery. Meanwhile, Fed Chair Janet Yellen is still trying to come up with the answer to the following question: “What determines inflation?” She first asked that in a public forum on October 14, 2016. She did so at a conference sponsored by the Federal Reserve Bank of Boston titled “Macroeconomic Research After the Crisis” that should have been titled “Macroeconomic Research in Crisis.” She still doesn’t have the answer, as evidenced by a review of what Janet in Wonderland said at her press conference last Wednesday about inflation:

(1) Transitory. “However, we believe this year’s shortfall in inflation primarily reflects developments that are largely unrelated to broader economic conditions. …. [T]he Committee continues to expect inflation to move up and stabilize around 2 percent over the next couple of years, in line with our longer-run objective.”

(2) Imperfect. “Nonetheless, our understanding of the forces driving inflation is imperfect, and in light of the unexpected lower inflation readings this year, the Committee is monitoring inflation developments closely.”

(3) Mysterious. “For a number of years there were very understandable reasons for that [inflation] shortfall and they included quite a lot of slack in the labor market, which [in] my judgment [has] largely disappeared, very large reductions in energy prices and a large appreciation of the dollar that lowered import prices starting in mid-2014. This year, the shortfall of inflation from 2 percent, when none of those factors is operative is more of a mystery, and I will not say that the committee clearly understands what the causes are of that.”

(4) Lagging. “Monetary policy also operates with the lag and experience suggests that tightness in the labor market gradually and with the lag tends to push up wage and price inflation….”

(5) Idiosyncratic. “So, you know, there is a miss this year I can’t say I can easily point to a sufficient set of factors that explain this year why inflation has been this low. I’ve mentioned a few idiosyncratic things, but frankly, the low inflation is more broad-based than just idiosyncratic things. The fact that inflation is unusually low this year does not mean that that’s going to continue.”

(6) Persistent. “Of course, if it, if we determined our view changed, and instead of thinking that the factors holding inflation down were transitory, we came to the view that they would be persistent, it would require an alteration in monetary policy to move inflation back up to 2 percent, and we would be committed to making that adjustment.”

(7) And again, mysterious. “Now, inflation is running below where we want it to be, and we’ve talked about that a lot during this, the last hour. This past year was not clear what the reasons are. I think it’s not been mysterious in the past, but one way or another we have had four or five years in which inflation is running below our 2 percent objective and we are also committed to achieving that.”

Borio’s Solution. The man from the BIS has the answer for Fed Chair Janet Yellen and all the other central bankers who have a fixation with their 2% inflation targets: “Fuggetaboutit!” In his speech, Borio sympathized with their plight: “For those central banks with a numerical objective, the chosen number is their credibility benchmark: if they attain it, they are credible; if they don’t, at least for long enough, they lose that credibility.” His advice to just move past the quandary rests on many of the points I’ve been making on this subject for some time:

(1) Inflation is neither a monetary nor a Phillips curve phenomenon. He starts off by challenging Milton Friedman’s famous saying that “inflation is always and everywhere a monetary phenomenon.” He also acknowledges Yellen’s confusion: “Yet the behaviour of inflation is becoming increasingly difficult to understand. If one is completely honest, it is hard to avoid the question: how much do we really know about the inflation process?” He follows up with two seemingly rhetorical questions: “Could it be that we know less than we think? Might we have overestimated our ability to control inflation, or at least what it would take to do so?” The rest of the speech essentially answers “yes” to both questions.

As Exhibit #1, Borio shows that, for G7 countries, “the response of inflation to a measure of labour market slack has tended to decline and become statistically indistinguishable from zero. In other words, inflation no longer appears to be sufficiently responsive to tightness in labour markets.” If the PCM isn’t dead, it is in a coma.

Borio mentions, but doesn’t endorse, former Fed Chairman Ben Bernanke’s view that central bankers have been so successful in lowering inflationary expectations that even tight labor markets aren’t boosting wages and prices. In a 2007 speech, Bernanke explained: “If people set prices and wages with reference to the rate of inflation they expect in the long run and if inflation expectations respond less than previously to variations in economic activity, then inflation itself will become relatively more insensitive to the level of activity—that is, the conventional Phillips curve will be flatter.”

So according to Bernanke, the PCM isn’t dead, but in a coma because inflationary expectations have been subdued.

(2) Globalization is disinflationary. Borio, who seems to be the master of rhetorical questions, then asks: “Is it reasonable to believe that the inflation process should have remained immune to the entry into the global economy of the former Soviet bloc and China and to the opening-up of other emerging market economies? This added something like 1.6 billion people to the effective labour force, drastically shrinking the share of advanced economies, and cut that share by about half by 2015.” Sure enough, the percentage of the value of world exports for the G7 countries fell from 52.4% at the start of 1994 to 33.1% in April, as the percentage for the rest of the world rose from 47.6% to 66.9%.

I am getting a sense of déjà vu all over again. In my 5/7/97 Topical Study titled “Economic Consequences of the Peace,” I discussed my finding that prices tend to rise rapidly during wars and to fall sharply during peacetimes before stabilizing until the next wartime spike. I wrote: “All wars are trade barriers. They divide the world into camps of allies and enemies. They create geographic obstacles to trade, as well as military ones. They stifle competition. History shows that prices tend to rise rapidly during wartime and then to fall during peacetime. War is inflationary; peace is deflationary.” I called it “Tolstoy’s Model of Inflation”.

Borio logically concludes that measures of domestic slack are insufficient gauges of inflationary or disinflationary pressures. Furthermore, there must be more global slack given “the entry of lower-cost producers and of cheaper labour into the global economy.” That must “have put persistent downward pressure on inflation, especially in advanced economies and at least until costs converge.” That all makes sense in the world most of us live in, if not to the central bankers among us with the exception of the man from the BIS.

(3) Technological innovation is keeping a lid on pricing. Borio explains that technological innovation might also have rendered the Phillips curve comatose or dead, by reducing “incumbent firms’ pricing power—through cheaper products, as they cut costs; through newer products, as they make older ones obsolete; and through more transparent prices, as they make shopping around easier.”

Wow—déjà vu all over again! In the same 1997 study cited above, I wrote: “The Internet has the potential to provide at virtually no cost a wealth of information about the specifications, price, availability, and deliverability of any good and any service on this planet. Computers are linking producers and consumers directly.” I predicted that alone could kill inflation. Online shopping as a percent of GAFO retail sales rose from 9.1% at the end of 1997 to 30.3% currently.

Borio concludes, “No doubt, globalisation has been the big shock since the 1990s. But technology threatens to take over in future. Indeed, its imprint in the past may well have been underestimated and may sometimes be hard to distinguish from that of globalisation.”

(4) The neutral real rate of interest is a figment of central bankers’ imagination. Borio moves on from arguing that the impact of real factors on inflation has been underestimated to contending that the impact of monetary policy on the real interest rate has been underestimated. In the US, Fed officials including Fed Chair Yellen and Vice Chair Stanley Fischer have contended that the “neutral real interest rate” (or r*) has fallen as a result of real factors such as weak productivity.

Borio rightly observes that r* is an unobservable variable. Ultra-easy monetary policies might have driven down not only the nominal interest rate but also the real interest rate, whatever it is. Last year, in the 10/12 Morning Briefing, I came to the same conclusion, comparing the Fed to my dog Chloe barking at herself in the mirror when she was a puppy:

“In any event, in their opinion, near-zero real bond yields reflect these forces of secular stagnation rather than reflect their near-zero interest-rate policy since the financial crisis of 2008. …. Their ultra-easy policies have depressed interest income, reducing spendable income and also forcing people to save more. Cheap credit enabled zombie companies to stay in business, contributing to global deflationary pressures and eroding the profitability of healthy companies. Corporate managers have had a great incentive to borrow money in the bond market to buy back shares as a quick way to boost earnings per share rather than invest the proceeds in their operations.”

(5) Ultra-easy monetary policies are stimulating too much borrowing. Borio concludes that central banks should consider abandoning their inflation targets and raise interest rates for the sake of financial stability. He is concerned about mounting debts stimulated by ultra-easy money. I am too, and I’m also concerned about a potential for stock market melt-ups around the world.

The risk he sees is a “debt trap … [which] could arise if policy ran out of ammunition, and it became harder to raise interest rates without causing economic damage, owing to the large debts and distortions in the real economy that the financial cycle creates.”

Wednesday, September 20, 2017

Valuation Debate: Shiller vs. Goldilocks

The valuation question has been hanging over the current bull market. Valuation ratios such as price/earnings, price/sales, and market capitalization/revenues are uniformly bearish, showing that stocks are as overvalued as they were just before the tech bubble burst in 2000. On the other hand, valuation measures that adjust for inflation and interest rates, both of which are near record lows, suggest that the market is fairly valued. They are mostly in the Goldilocks range: Not too cold, and not too hot. I have been siding with Goldilocks.

Not surprisingly, Yale Professor Robert Shiller strongly disagrees with Goldilocks. He is issuing dire warnings that stocks are as grossly overvalued as they were in 2000. The man won the Nobel Prize in economics, so he must know something. He won primarily for his work on speculative bubbles, including his book Irrational Exuberance (2000). (Goldilocks dropped out of high school, and is now doing jail time for petty larceny.) The professor’s latest alarming views were reviewed last Friday in an article posted on Nasdaq.com titled “A Nobel Prize Winner's Dire Market Warning — And What To Do About It...” Here are some of the key points on the valuation question:

(1) Trailing P/E. The article observes: ”The price-to-earnings (P/E) ratio of the S&P 500 … is about 24.5. This is about 67% above its long-term average of 14.7.” My data, using four-quarter trailing earnings for S&P 500 operating earnings, show the P/E at 20.7 at the end of June, 37% above its long-term average of 15.1 since 1935. It is still well below its record high of 28.4 during Q2-1999.

(2) Forward P/E. The article focuses on backward-looking P/E measures, including Shiller’s CAPE, which is a cyclically adjusted measure based on earnings over the past 10 years. The four-quarter trailing P/E, using operating earnings, has exceeded the forward earnings P/E since 1989, which is when the operating data series starts. The latter was 17.7 in August. That’s high, but still well below the record high of 24.5 during July 1999.

(3) CAPE. The article notes: “Nobel Prize-winning economist Robert Shiller's cyclically adjusted P/E ratio is also warning the market is overvalued. At 30.2, this ratio is more than 85% above its long-term average of 16.1.” Jeremy Siegel, the professor who wrote Stocks for the Long Run (1994), has yet to win a Nobel Prize despite his great long-term call. In a 2016 FAJ article, he sides with Goldilocks and counters Shiller’s pessimism as follows:

Robert Shiller’s cyclically adjusted price–earnings ratio, or CAPE ratio, has served as one of the best forecasting models for long-term future stock returns. But recent forecasts of future equity returns using the CAPE ratio may be overpessimistic because of changes in the computation of GAAP earnings (e.g., “mark-to-market” accounting) that are used in the Shiller CAPE model. When consistent earnings data, such as NIPA (national income and product account) after-tax corporate profits, are substituted for GAAP earnings, the forecasting ability of the CAPE model improves and forecasts of US equity returns increase significantly.
(4) Rule of 20. The Rule of 20 compares the S&P 500 P/E, on either a trailing or forward basis, to 20 minus the CPI inflation rate on a year-over-year basis. In August, the CPI inflation rate was 1.9% y/y. According to the Rule of 20, that meant that the P/E should be around 18.1. The average of this measure is 16.6 since 1935. That’s historically high, though obviously because inflation is historically low. Again, as noted above, the four-quarter trailing P/E was 20.7 during Q2, while the forward P/E was 17.7 in August. By the way, the Rule of 20 was devised by Jim Moltz, my friend and previous colleague at CJ Lawrence.

(5) Misery-Adjusted P/E. Another valuation metric that I devised is simply the sum of the S&P 500 forward P/E and the Misery Index, which is the sum of the unemployment rate and the CPI inflation rate. I’ve observed an inverse relationship between the forward P/E and the Misery Index. That makes sense: When consumers are less miserable because unemployment and inflation are low, investors are happier too and willing to pay a higher multiple for earnings.

Adding the actual forward P/E and the Misery Index together produces the Misery-Adjusted P/E. It has averaged 23.9 since the start of the series in 1979. It was 24.0 during August, suggesting that stocks were fairly valued. This metric can be thought of as the Rule of 24: The fair-value forward P/E was 17.7 during August based on 24 minus the Misery Index, which was 6.3 last month.

(6) Real earnings yield. There’s an alternative valuation measure that is adjusted for inflation in a more rigorous fashion than is reflected in the two rules of thumb above. Let’s flip the P/E over and focus on the S&P 500 earnings yield (i.e., E/P). It can be calculated on a quarterly basis back to 1935 using S&P 500 reported earnings data. The real earnings yield is the nominal yield less the CPI inflation rate.

The average of the real earnings yield is 3.7% since 1935. When the yield is above (below) this average, stocks are undervalued (overvalued). The actual reading was 2.6% during Q2, suggesting that stocks were somewhat overvalued, but not excessively so. Excessive overvaluation would be reflected in a real earnings yield close to or below zero.