Important books and readings

I was recently asked by some of my students to provide a list of books and readings which I think that they ought to consider reading outside of class. I highly recommend the following set of books in particular:

1. Against the Gods: The Remarkable Story of Risk, by Peter L. Bernstein.

2. A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing, Ninth Edition, by Burton G. Malkiel.

3. Stocks for the Long Run : The Definitive Guide to Financial Market Returns and Long-Term Investment Strategies, by Jeremy J. Siegel.

Philosophically, these books present what I would consider to be an “orthodox” view of finance, risk management, and economics; i.e., they fit well with the so-called rational choice, efficient markets view of the world.

For some heterodox alternatives, I like both of Nassim Taleb’s books:

4. Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets (read this first).

5. The Black Swan: The Impact of the Highly Improbable (the sequel to “Fooled by Randomness”).

Unfortunately, I can’t recommend any books on the topics of behavioral economics or behavioral finance; the books I know of tend to be either too advanced or too superficial for most readers. However, I do recommend the article entitled “Aspects of Investor Psychology” by Daniel Kahneman and Mark Riepe which appeared several years ago in the Journal of Portfolio Management.

Finally, I would be remiss to not also include two other favorites which are not books on finance or economics; rather they deal with the history and philosophy of applied mathematics. These books include:

6. Innumeracy: Mathematical Illiteracy and Its Consequences, by John Allen Paulos.

7. A Brief History of Infinity, by Brian Clegg.

moral hazard and public policy

Harvard finance professor Josh Lerner is quoted today in the Austin American Statesman: “It’s sort of like, heads you win, tails the Fed picks up the pieces”. Professor Lerner made these comments in reference to the historically unprecedented and controversial Fed-engineered rescue of Bear Stearns (cf. “Bear Stearns fetches a better price, shoring up deal” to see this quote in its original context).

Clearly the motivation for the Fed to intervene in this fashion was to prevent a severe and pervasive “credit crunch” in the U.S. economy from going from bad to even worse. A couple of weeks ago, Bear Stearns suffered a classic “run-on-the-bank” scenario; its short-term creditors refused to lend the firm any more money via the extension of overnight loans, and simultaneously demanded repayment of outstanding debt. The net effect completely overwhelmed Bear’s cash position, which in turn forced the investment bank to seek help from JPMorgan Chase and the Fed. Since then, the Fed has opened its so-called “discount window” to investment banks as well as commercial banks. The last (and only other) time that this occurred was during the Great Depression.

From a risk management perspective, the decision by the Fed to take this action involves trading off the benefit of preventing a financial contagion in the short run against longer run moral hazard effects such as Professor Lerner has described. At this point in time, it is impossible to determine whether our economy will be better off as a result of this policy action. The most important asset that any organization, including the government, can have is the trust of its constituents. The problem with ad hoc regulatory interventions like this is that it raises the bar in terms of people’s expectations regarding future public policy; specifically, it encourages the notion that the government will bail you out if you are big enough and manage to mess up badly enough. Economists refer to this as “time-inconsistent” behavior on the part of government. The concern that many have about this action by the Fed is that it may make matters worse by effectively increasing systemic risk going forward. The issue here is whether the long run moral hazard consequences can be reigned in prospectively, or whether the action will effectively “up the ante” and encourage even more risk prone behavior on the part of investors, as suggested by Professor Lerner’s quote.

stock market volatility

Yesterday, the S&P 500 traded at a low of 1,270.05 and closed near its high for the day, at 1,338.60. Relative to the opening index value of 1310.41, a 67.95 point intraday move sure feels volatile. Since I have been a fairly serious student of financial markets for the past 20 years or so, I thought that it would be interesting to put this into a larger historical perspective.

To do this, I downloaded daily data on the S&P 500 from Yahoo! Finance for the period January 3, 1950 – January 23, 2008. During this period, there are a total of 14,607 observations. My measure is the ratio of the difference between high and low index values for a given day divided by the value of the index at the open; let’s call this variable PCT_CH_SP500. For example, for January 23, 2008, PCT_CH_SP500 = (1,338.60 – 1,270.05)/1,310.41 = 5.27%. Not surprisingly, I found that in a statistical sense, yesterday’s market action was clearly an “outlier”; only .18%, or 27 of the 14,607 trading days during this more than 57 year time period were more volatile. Here are the descriptive statistics for this data series:

Percentile

PCT_CH_SP500

10%

0.00%

25%

0.49%

50%

1.15%

75%

1.67%

90%

2.16%

95%

2.55%

99%

3.55%

The average value for PCT_CH_SP500 during this period was 1.14%, and the standard deviation was 0.90%. Furthermore, the distribution for PCT_CH_SP500 is highly positively skewed (1.73), and fat-tailed (kurtosis = 23.04).

I sorted the dataset from highest to lowest values for PCT_CH_SP500, and it is interesting to see the volatility implications of various major financial events in history. The financial media has drawn comparisons between what is currently happening with other events such as the 1987 stock market crash, the Asian financial crisis in October 1997, the failure of the Long Term Capital Management (LTCM) hedge fund in 1998, and 9/11. The first day that the markets opened after 9/11 was on September 17, 2001, and the value for PCT_CH_SP500 recorded on that day was less than the value for PCT_CH_SP500 recorded yesterday (specifically 5.04% versus yesterday’s 5.27%, although two days later on September 19, 2001, PCT_CH_SP500 came in at 5.26%). In terms of their volatility effects, the Asian financial crisis and the LTCM debacle were both largely two-day events, with dramatic drops on the first day followed by dramatic rallies the second day. Here’s what happened numerically in those cases:

Asian financial crisis

date

open

high

low

close

PCT_CH_SP500

27-Oct-97

941.64

941.64

876.73

876.99

6.89%

28-Oct-97

876.99

923.09

855.27

921.85

7.73%

Long-Term Capital Management

date

open

high

low

close

PCT_CH_SP500

31-Aug-98

1027.14

1033.47

957.28

957.28

7.42%

1-Sep-98

957.28

1000.71

939.98

994.26

6.34%

The title of “granddaddy of volatility” clearly goes to the 1987 stock market crash. Although October 19, 1987 is famous as “Black Monday” (on this day, PCT_CH_SP500 clocked in at 20.47%, the highest value for all data since January 3, 1950) , the month of October 1987 produced 8 days with higher recorded values for PCT_CH_SP500 than what occurred yesterday:

October 1987

date

open

high

low

close

PCT_CH_SP500

16-Oct-87

298.08

298.92

281.52

282.7

5.84%

19-Oct-87

282.7

282.7

224.83

224.84

20.47%

20-Oct-87

225.06

245.62

216.46

236.83

12.96%

21-Oct-87

236.83

259.27

236.83

258.38

9.48%

22-Oct-87

258.24

258.38

242.99

248.25

5.96%

26-Oct-87

248.2

248.22

227.26

227.67

8.44%

28-Oct-87

233.19

238.58

226.26

233.28

5.28%

29-Oct-87

233.31

246.69

233.28

244.77

5.75%

From left to right on the subprime bailout issue…

Today, the Wall Street Journal provided a remarkably diverse set of editorials on one specific topic; i.e., the so-called subprime “bailout”. These editorials range from Jesse Jackson’s article entitled “A Marshall Plan for Mortgages” to Treasury Secretary Henry Paulson’s article entitled “Our Plan to Help Homeowners” to Brian Wesbury’s article entitled “Let’s Not Panic and Ruin the World”.

subprime crisis and moral hazard

In this morning’s Washington Post, there is an article entitled “Paulson Outlines Mortgage Aid Plan”, which provides some details concerning the Bush administration’s mortgage-relief plan. Today’s Wall Street Journal has an editorial about this plan entitled “No Bailouts for Borrowers”. The WSJ article correctly points out a very important unintended consequence of what is clearly a well meaning but misguided public policy; that is, that sometimes the medicine can be worse than the cure.

The proposed intervention would take us down all kinds of slippery slopes. One must consider that if this plan or some variation of it actually gets implemented, then it may very well prospectively create problems in terms of availability and affordability of mortgage financing in the U.S. economy. Investors who purchase mortgage-backed securities will rationally price in the political risk of future interventions, which will in turn raise the interest rates offered for new mortgages. While Secretary Paulson insists that this will not be a taxpayer-financed bailout, an important aspect of the plan has state and local governments acting as financial intermediaries in that they would use their bonding authority to effectively enable distressed homeowners to sell investment grade tax exempt bonds. There is no free lunch; if state and local governments use up debt capacity in order to provide this funding, it will limit their ability to issue bonds in the future on favorable terms. Finally, as the WSJ article points out, there is also a serious moral hazard with the Bush administration’s mortgage-relief plan, in the sense that “…the federal government would set a troubling precedent and encourage irresponsible behavior in the future by bailing out homeowners (and, indirectly, lenders and investors).”

Nobel Prize in Economics

It is worth noting that the Nobel Prize in Economics was announced on Monday. The winners are Leonid Hurwicz (University of Minnesota), Eric Maskin (Institute for Advanced Study at Princeton University) and Roger Myerson (University of Chicago). They are famous for their seminal work in the field of “Mechanism Design Theory”. NPR provides a good (audio) explanation on their website. Still don’t understand what these Nobel winners developed? Here’s an explanation for non-economists from the "Marginal Revolution" blog.

 

Are 'Quant' Kings Free of Blame?

Page C18 of today’s Wall Street Journal has a very interesting article entitled “Absolving the Quants, a Bit” concerning the financial market consequences of so-called quantitative hedge funds.  This article notes, among other things, that there has been a proliferation over time of hedge funds implementing similar “LTCM-style” quantitative  strategies.  With so many arbitragers chasing similar (transitory) profit opportunities all at the same time, these investors are finding that earning excess returns is becoming increasingly more difficult.  As the article notes, “To boost the raw returns achievable this year to those seen in 1998, a fund would have to borrow much more, with a consequent increase in risk. If funds are borrowing more, there is a bigger chance that a move to cut debt could trigger sharp and correlated market moves. Such an effect would likely be much broader than the "quantagion" caused when different computer-driven trading models work in similar ways.”

 

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Are ‘Quant’ Kings Free of Blame?

Page C18 of today’s Wall Street Journal has a very interesting article entitled “Absolving the Quants, a Bit” concerning the financial market consequences of so-called quantitative hedge funds.  This article notes, among other things, that there has been a proliferation over time of hedge funds implementing similar “LTCM-style” quantitative  strategies.  With so many arbitragers chasing similar (transitory) profit opportunities all at the same time, these investors are finding that earning excess returns is becoming increasingly more difficult.  As the article notes, “To boost the raw returns achievable this year to those seen in 1998, a fund would have to borrow much more, with a consequent increase in risk. If funds are borrowing more, there is a bigger chance that a move to cut debt could trigger sharp and correlated market moves. Such an effect would likely be much broader than the "quantagion" caused when different computer-driven trading models work in similar ways.”

 

A blog exploring the intersection of finance, economics, risk, public policy, & life in general