Archive for April, 2009
Business Schools, Incentives, Uncertainty, and the Financial Crisis
What Should It Mean to Earn a Master’s Degree?
We don’t answer that question here, but shouldn’t one be required to master something?
It Was a Matter of Time
Since early October, we’ve wondered when we’d see the first editorial criticizing MBAs and business schools for their role in the ongoing financial crisis.1 In our mind, much of the blame should be shared between business types, i.e., MBAs, and so-called “quants,” with the majority of the blame placed on senior managers who permitted lax controls and misaligned incentives to exist.
We didn’t write about it when the thought originally occurred to us nor during the intervening six months-or-so, but we’ve been tempted to write on any number of occasions.
Two events occurred last week that motivated us to write today. First, our excellent, former TA, Bridget Ardoyno, wrote to us that she has been blogging at http://econmom.blogspot.com, and that reminded us of teaching MBAs (but in a good way).
The Main Shortcoming
The other event was the appearance of an excellent opinion column, How Business Schools Have Failed Business, in last Friday’s edition of The Wall Street Journal. The column, by Michael Jacobs, lists three main failings of business schools with respect to the teaching and the crisis, but in fact, his three are all examples of the lack of the quality instruction regarding control and incentives.2 Basically, incentive issues are a type of control problem that arise in decentralized organization, where subordinates are permitted a degree of autonomy to act as they see fit.
The Root Causes
There is much to like about Mr. Jacobs’s criticism of business schools. However, while we realize that editorial space is limited, he ignores the two main causes of the problems that he identifies: (1) poorly-prepared students, and (2) an over-emphasis on entertainment and teaching ratings that motivates instructors to offer simplistic lessons at the expense of substantive learning. The first is related to the pathetic undergraduate educations most folks receive and the second is, well, an example of an incentive problem. (We’ll get back to both of these below.)
Incentive Problems Are Easy to Identify, but Difficult to Solve
Incentives problems are as natural and as old as recorded history: everybody wants what they want. In the Old Testament, were Adam and Eve anything if not incentive problems? Cain? We could go, but there’s no reason. All of the individuals were free to act in a decentralized setting, and failed to live up to their responsibilities.
In the New Testament, Jesus discusses incentive problems on any number of occasions. Two of our favorites: (1) the parable of the faithful and unfaithful servants (Luke 12:41 — 48) and (2) the parable of the good shepherd, (John 10:11 — 13). All consider the fallen nature of man and his (completely natural) selfish behavior.
That being said, there is not a more complex topic to address in business schools – or any type of school, for that matter – than incentives. That’s because the topic involves social (or multi-party) situations where one needs to be able to predict how another party will respond autonomously and freely to control mechanisms like compensation schemes.
Many of our readers already know that decisions can be categorized as games against nature – single-person decision-theory – and games against others, i.e., game theory. Generally – though not precisely – one can think of the investigations in the natural sciences as examples of single-person decisions and investigations in the social sciences as examples of multi-person decisions, e.g., how does one respond to a survey so how should the researcher interpret that response?
Incentive or agency problems – and information economics problems in general – can often be modeled mathematically using game theory or similar methods. In many of these problems of interest to business students, one decision-maker – say, the superior or principal – is attempting to maximize his own expected satisfaction or profits while ensuring that (1) the other person – the subordinate or agent – is willing to participate with him (in the social setting like a firm or organization) and (2) with full knowledge that the subordinate or agent will do what’s best for himself.
Those two conditions – participation and incentive-compatibility – constrain the principal’s ability to maximize his own expected satisfaction, and the latter problem is especially vexing to solve because it means that one of principal’s constraints is the other person’s optimization problem. How do you do what’s best for yourself while realizing that the other person is also behaving opportunistically (by doing what’s best for himself)?
Objectively modeling these issues as mathematical problems tends to require a rather high level of sophistication, and solving the resultant problem – or even knowing when a mathematical solution exists – requires an even greater understanding of advanced calculus, optimization, real analysis, and other mathetical theories and techniques.3
Very few MBA students are prepared to tackle those topics (and their applications) at that level of understanding.
Our Root Causes, Again
A larger set of students can handle simplified illustrations and examples of problems that tend to be more numerical in nature. Often, when taught in conjunction with a math software program, they can gain a keen understanding of the subtle issues that arise in the study of incentives, e.g., paying more for more output isn’t necessarily optimal nor incentive-compatible.4
Unfortunately, the root causes that we identified above – ignorance and selfishness/greed – make it difficult for most instructors to offer and successfully teach such a course to MBA students.
We’ll emphasize the students’ ignorance and not the instructors’; instead, we’ll focus on their selfishness.
Most MBA students are poorly prepared to think clearly, abstractly, and quantitatively, and that makes it a challenge to teach them either (1) quantitative subjects or (2) topics that can be effectively modeled, illustrated, or explained in a quantitative manner.
Incentive problems fall into the latter category. (What we’d call) simple mathematical or numerical models provide (by definition) abstract illustrations of particular phenomena and behaviors. They’re rarely solutions to real world problems.
Most MBA students are not sophisticated enough to handle that distinction; they want recipes, not thought processes, and recipes are easier to teach and grade. It’s not because the students are stupid, but it often is because they were poorly-trained as undergraduates and in require, core classes. Per Mr. Jacobs’s essay, there’s generally not much evidence of profs teaching compensation-related recipes in business schools because of the lack of relevant incentive-related courses. Thatt’s evidence of absence (of the courses), rather than an absence of evidence.
There’s much more evidence of that behavior in finance classes, where students want recipes for valuation. They’ll take abstract models, with either unrealistic assumptions or very, very specialized assumptions and unwittingly (and unknowingly) treat them as very practical and precise methods that calculate the one true value of the thing.
Unfortunately, they’re often encouraged to do so by their professors because it’s much easier to teach numerical – though irrelevant or mis-specified – recipes than it is to teach (and grade) thought processes.
In fact, that tendency to dumb-down teaching even extends to some faculty members’ research agendas. During our academic career, we attended any number of seminars where we heard the presenter justify his or her overly-simplistic and vacuous model by arguing that “we want to be able to explain it to MBA students.”
Imagine if medical research were conducted in the same manner? Or any serious field of inquiry for that matter?
From our perspective, it’s completely ass-backwards (and, in fact, its presence goes partially to explain why we’re in the private sector, today).
In an ideal words, the pedagogical emphasis would be on educating the students by attempting to pull-them-up to a level that they had not anticipated nor even known existed, and not presenting dumb-downed “research” papers for entertainment or pretense, but, hey, the latter alternative is easy, and one can generally garner higher teaching ratings by not challenging the students, especially if that perspective and technique is pervasive within the school. (We knew any number of faculty members at very expensive and seemingly prestigious institutions who would provide “sample” or “practice” exams before test dates – the actual exams would have slightly-changed numbers; who would schedule frequent guest speakers because “the students like it (and we don’t have to prepare);” and would show videos of factories or whatever once per week because, again, “the students like it (and we don’t have to prepare).” (Geez, it’s almost enough to make one cynical.)
Anyway, that combination of poor preparation of most students and the misaligned incentives of b-school professors make true learning about these thorny and difficult (social) problems, which all firms and organizations face, nearly impossible to achieve.
Why It’s Difficult to Teach about Incentives Issues
It’s not just the mathematical nature of the most compelling models of incentives that makes teaching difficult. It’s also because the problems are not particularly robust. By that we mean, illustrations and examples must be carefully (and empathetically) constructed, or they’re either (1) extremely stupid and un-insightful, or (2) extremely specialized, detailed, and so qualified (by assumptions) that they need a very high degree of mathematical understanding to comprehend and solve (and they end-up saying very little, anyway).
The fertile middle ground requires instructors and students to possess a rather high level of economic reasoning and strong math skills. We’ll avoid criticizing instructors, here, but unfortunately, many MBA programs have de-emphasized, eliminated, or consolidated microeconomics courses, and those courses are (or were) the best place to develop the requisite level of economic reasoning. In those courses and well-designed incentives courses, there is no substitute for a lot of hard work.
By the way, we unsuccessfully tried to establish just such a Control & Incentives course at our last academic employer, but there were no required econ courses and only a few very motivated, very curious, or previously-trained students would enroll in the elective. (Too much work!) As a public service, we’ll attempt to put that course material on-line in the near future.
But Difficulty Is Really No Excuse
It’s up to trustees and deans to ensure that schools and professors educate MBAs, rather than attempt to be “popular.” That’s true at both the individual level and the sum of the individual levels, i.e., the school level, where administration’s allow themselves to be subjected to the whims of Business Week writers and survey respondents. As a faculty member, we won our share of teaching awards while trying to do the right thing; so, there’s no sour grapes here, and we know that it can be done; however, we suspect that the short-term emphasis will not change. There’s too much inertia and very little confidence.
From our selfish perspective, it’s not as bad as it seems because that general failure to learn and teach presents many opportunities for consultants who understand both incentives and risk – people like ourselves. (We’ve written extensively about both issues, especially as they pertain to the current financial crisis. Please search the archives if you’re interested. Our Illustrations discuss many of these issues, too.)
Are you sure that your firm or organization isn’t about to do something stupid with incentive pay or clawbacks or whatever?
We’ll likely continue to revise and edit this post in the near future. (It’s long and there’s probably a few typos, but then TQM is rarely optimal.)
Copyright © 2009 Spero Consulting.
Footnotes:
- Admittedly, we haven’t searched very hard for evidence, but we knew we’d eventually see at least one. The only questions were: (1) when, and (2) would it be correct? ↩
- See our essay, Our Control Framework, for how we define these terms. ↩
- Nitpickers: we could have listed these and other fields any number of ways. ↩
- When we taught, we were very partial to Mathcad because of its WYSIWYG interface and because it wasn’t too much nor too little. It allowed motivated and curious students to solve rather challenging constrained optimization problems. ↩
“We’ve Won Hundreds of Cases” (Out of How Many?)
We heard a commercial on the radio today where an attorney crowed that he had “won hundreds of cases during the past several years.”
We suspect that he made that statement to sound impressive and absolutely successful. Otherwise, why bother?
Being skeptical, our immediate reply to both the car stereo and the chairman, who happened to be in the passenger’s seat was, maybe it should have been, “Yes, during the past several years, we’ve won hundreds of cases out the thousands (or possibly tens of thousands) that we’ve tried.” Of course, that sounds a lot less impressive.”
If interested in his services, wouldn’t the reader prefer to know the guy’s winning percentage, rather than the absolute number of victories? We would; ergo, it seems natural to infer that either the attorney has something to hide or he can’t impute how an intelligent person would respond to his advertisement.
Of course, he might be an excellent attorney with an impressive, albeit low winning percentage, because he takes only the most challenging cases. There is that possibility, but then one would think that he might mention it.
Then again, perhaps he only wants to attract less bright, less demanding, and less skeptical clients because it’s easier to over-charge them?
Or maybe he thinks he can intimidate potential adversaries with his three-digit victories and reach more favorable out-of-court settlements?
Perhaps we’re thinking too much about it and should attempt something more productive?
Influenza Pandemic Stress Test, Part II
Update: we have a few newer posts, too: Swine Flu and Bank Stress Tests and Today’s WSJ Reporting Errors per the Bank Stress Tests.
Spurred by news of swine flu outbreaks in Mexico and the USA, on Monday we wrote, A New Influenza Stress Test. In that post we asked whether banking regulators will require stress tests/scenario analyses that incorporate such a pandemic.
Obviously, the first-order effect of human suffering and loss overwhelm financial implications, but responsible regulators and bankers should consider the implications of such losses as those flu-related losses are possible though at this point in time, not probable.
We’re revisiting the topic because of an editorial in the Asian edition of The Wall Street Journal, Asian Wisdom on Epidemics, provides relatively recent CBO estimates of the costs of such a pandemic:
“This human toll would in turn affect the economy. A 2005 report by the U.S. Congressional Budget Office put the damage from a severe flu pandemic to the American economy at around 5% of GDP. Of this, around 3% would result from supply-side inputs such as labor and logistics as up to three in 10 Americans would miss three weeks from work due to the pandemic. The remaining 2% decline in GDP would come from demand-side factors such as a decline in consumer, corporate and government spending.”
Now compare that 5% to the GDP shrinkage/growth rates used in the recent SCAP stress testing exercise: see page six of the SCAP document, which shows negative growth of –3.3% in 2009 and slight growth in 2010 of 0.5% in the more adverse economic scenario. What would be the implications for subtracting another 5% from GDP? It’s not pretty.
God forbid that such a disaster occurs, but does the reader believe that anyone in the Federal Reserve, OCC or Treasury Department is contemplating the possibility?
We’re either too old or too skeptical – maybe there’s no difference – to give the benefit of the doubt.
Which Is More Egregious?
This a new feature/question that we might add/ask on a regular basis.
There’s a nice, short article on The Wall Street Journal’s web site entitled, Calpers to Vote Against BofA Board. The title is self-explanatory.
The penultimate sentence in it is: “Bank of America has already taken $45 billion in capital from the federal government, some of it to help the bank cover losses stemming from its purchase of Merrill.”
The final sentence is: “Shareholders have also been up in arms about $3.6 billion in bonuses that were paid ahead of schedule to Merrill executives despite the bank’s massive losses.”
Thus, we ask: which is more egregious?
Using the parable of the faithful and unfaithful servants (Luke 12:41 — 48) as a guide, we’d have to say the latter.
Server Problems
If you attempted to visit us this morning but couldn’t it’s because our shared server was down. Generally, Fused Network offers excellent up-time and excellent customer service, but this morning was an exception.
By the way, if you’re interested in our site and firm but haven’t seen our visitor location map recently, we encourage you to view it. We don’t get millions of hits, but as you can see, we’re getting a decent number from all across the world.
Thanks for visiting.
One Less RINO
We applaud Arlen Specter’s move to the Democratic Party. It injects a small bit of honesty into politics. In fact, his willingness to finally be truthful with himself and his constituents comes as a surprise to us. We doubt that we’re alone in that assessment.
Press Release: Spero Consulting Seeks Government Bailout
At least through the summer (and maybe the fall)
Within the past two weeks, we read: (1) how General Motors (GM) is seeking an additional $5,000,000,000 ($5 billion) from the federal government – they may have gotten a bit less – and (2) how GM plans to close production for thirteen weeks this summer but also plans to provide workers with full pay during the production hiatus.
The principals at Spero Consulting are not pride and are looking for a similar deal. We would gladly accept a government bailout to halt production (of consulting services) for thirteen weeks this summer. Moreover, we’d gladly accept our current revenue rate and forego the opportunity to increase that rate in exchange for the UAW level of health and pension benefits during that time period. Finally, we’re willing to extend the plan into the nice part of the autumn, too.
When contacted, President Andy Spero stated, “We recall our days as a professor when we received a summer research stipend and generated nothing of lasting value, we’re willing to revive that tradition so that GM workers do not feel alone or stigmatized in any way. We’re here to help.”
Per the generally-misnamed Reduction in Paperwork Act, which we see mentioned so frequently during tax season, please Mr. Geithner, consider this post as a formal application for stimulus/bailout/handout funds.
In the spirit of coöperation, and to encourage quick approval of our application by federal authorities, we’ll commit to providing at least two social services during those thirteen weeks. Those services will include a (1) green policy of car-pooling to softball games – we’ll take the van instead of the Suburban – and (2) maintaining the lawn and flower beds and general outside appearance of the home at a level that enhances house values in our little section of the Shire. Chairman Jill Taylor commented, “Both initiatives are consistent with Obama administration policies for energy usage and to increase housing values; so, we think this is a no-brainer for the administration, especially since Spero Consulting, and not GM, is majority-owned by a woman. Why should we be discriminated against? We’ve never produced a single internal-combustion engine and except for the times when the Basenjis get table scraps, we have strict policies to contain both greenhouse and methane gases at world headquarters.”
We urge the government to act before the firm commits to contracts this summer.
Harsh Interrogation Techniques and Economic Terrorism
On a Lighter Note
Now, this is mostly in jest, but the Obama administration’s ongoing mishandling of the Bush’s administration’s “harsh” interrogation techniques of political/religious terrorists coinciding with revelations from Andrew Cuomo’s investigation of Paulson and Bernanke and “forced” merger of the Bank of America and Merrill Lynch make us wonder.
To what extent will Mr. Cuomo go to get the truth? And would anyone complain if any of the parties were exposed to harsh interrogation methods, including, say, waterboarding or controlled head-slamming? (Despite what we wrote in What a Civilized Country!, we’re sure that quite a few liberal investors in Mr. Madoff’s funds might forsake their sensitivities and principles and opt for thumbscrews if given the choice.)
Speaking of lost principles, it is nice to see The Wall Street Journal editorial page call the government’s response to the mortgage débâcle last autumn “panic.” (See Busting Bank of America.) It would be still nicer if the editorial board would acknowledge its mistakes in encouraging government intervention back in late September and early October that created and extended the larger financial crisis. We criticized the editors several times, including in A Better Solution (than a government takeover) and Principles Lost and More, in which we noted the staff’s abandonment of free market principles during its fit of hysteria. Perhaps they did admit to their errors, and we didn’t see it.
A New Influenza Stress Test
God forbid that such a scenario is realized, but one hopes that regulators are demanding and banks are preparing scenario analyses of a swine flu pandemic (on top of the ongoing global liquidity crisis and mortgage débâcle).
We write “God forbid” because the first-order effect of the loss of life and human suffering would be horrific, but such a natural disaster would also be devastating for home values, mortgages, and mortgage-backed securities and could throw the country or regions of the country into a true depression, especially for those houses located in border states and other areas with high concentrations of illegal aliens from Mexico. (We know that we’re re-evaluating our desire for “authentic” Mexican food.)
You know – or at least we infer – that the federal government didn’t/hasn’t considered the possibility of such disasters because it would have never had wasted/committed so many tax dollars on dubious rescues and stimuli if it had – that goes for both the Bush and Obama administrations. Prudence – even government-style prudence, if such a thing exists – would have dictated holding something in reserve. In addition, as it relates to stress testing, the existing SCAP (Supervisory Capital Assessment Program) doesn’t seem to consist of particularly negative economic scenarios; so, we doubt if anything more negative was contemplated.
We also know that prior to the crisis some firms did develop such health-based scenarios, but we’d imagine that such a disaster would compound and magnify losses to an extent that few have considered. (Ergo, the need for such analyses.)
By the way, we now have a way to define whether a scenario is extremely negative: if when discussing it, one feels compelled to preface that analysis with “God forbid.”
For new readers, we had this to say about SCAP on Saturday: The Supervisory Capital Assessment Program.
The Supervisory Capital Assessment Program
Update: We have several newer posts on this topic, including a few on the need to include the effects of a potential swine flu epidemic on GDP in the scenario analyses and this one: SCAP, The Government’s Naïve Stress Testing Exercise.
We read the SCAP document published on the Federal Reserve web site. It describes the government’s stress testing régime for the nation’s 19 largest banks. It’s all very interesting. (Well, not really.)
However, we thought the most interesting sentence in the document was this one from the second paragraph on the first page: “A need for additional capital or a change in composition of capital to build a buffer under an economic scenario that is more adverse than expected is not a measure of the current solvency or viability of the firm.” (We added the italics.)
Uhh, do you think it would have been nice for the regulators to have requested confidential, private liquidity and solvency-related stress tests to start with? (Maybe they did, and they’re not telling anyone.)
So, we ask, exactly what is the point of the SCAP exercise? (We’ve asked that before.)
The notion of capital being any kind of buffer only makes sense in a trading portfolio with completely liquid assets, i.e., take your upfront cash (capital), buy Treasuries, repo them, take the proceeds, buy more Treasuries, repo them, and continue leveraging as long as you can… Even in that case, the capital isn’t quite a buffer for creditors, especially as the leverage increases.
With typical illiquid bank loans and other such unmarketable investments, the notion that the level of book value of common equity provides a “buffer” or “cushion” is vacant, i.e., that it is some measure of liquidation value if the firm’s solvency is questioned. (Even with liquid assets, if other traders know that a portfolio must be liquidated, then the amount of capital invested is then the maximum, limited-liability loss during the feeding frenzy, and is not the net liquidation value.)
For new readers, it’s worth noting that we’ve written about the government’s stress test on a few occasions – most recently on April 7 in Where Will the Bank Stress Testing Exercise Lead? (If you read that post, you’ll understand why we recommend confidential, private (seemingly) random or ad hoc requests by regulators for liquidity and solvency stress tests – nothing formal, standardized, or comprehensive that would indicate such a policy or investigation actually existed. There’s no reason to raise needlessly suspicions by announcing such a program.)
In addition, we have written about the silliness of capital ratios a few times, also – in both last week’s aptly-named post, More Capital Ratio Silliness, and March Madness: New Bank Capital Requirements from Saint Patrick’s Day. Other than possibly, tenuously construing the excepted sentence above from the SCAP document as an admission of irrelevancy (given what should be the true and important issue of interest during a liquidity crisis), we saw nothing in the SCAP document that notices or discusses the test’s deficiencies, particularly the short-coming of emphasizing book capital at the expense of something real. That might be a good thing – if the regulators understand the weaknesses and consciously eliminated that discussion. However, it’s a bad thing if they don’t understand or couldn’t identify those short-comings.
Oh, well. Let’s pray for good luck for these firms and the economy.
P.S. We may continue to edit this post tomorrow or in the near future.
Walt Mossberg is Wrong, Again
While we often write about silly things, we generally don’t stoop low enough to write about Walt Mossberg’s misinformed opinions regarding computers and other devices in The Wall Street Journal, but tonight is an exception.
In his most recent column, Computer Buyers Have to Consider System Upgrades, Mr. Mossberg writes “… you may want to wait to buy, if you can, until the new operating systems emerge… This is especially true if you are thinking of buying a Windows Vista machine. Vista is slow and filled with annoying nag screens.”
We have two different versions of Vista installed on three machines and XP Professional installed on a few others. We prefer Vista. Other than blogging, our main applications range from math programs to graphic and photo editing, and Vista is not slower than XP. In fact, it tends to be more stable, i.e. needs to be rebooted less often. If you have a modern PC, we’d be very surprised if you preferred XP to Vista, or if you found Vista to be lacking. (Our most recent purchases came with XP Professional with an option to upgrade to Vista Business. We exercised that option very quickly.)
By the way, the annoying nag screens that Mr. Mossberg mentions can be easily turned off. Perhaps he’s done so in the past or perhaps not, but he could have performed a public service by explaining how to disable those messages in about the same amount of space that he used to complain about them. It’s not very difficult; go to the Security Center (via Control Panel if you want) and turn the User Account Control off.
We know that Microsoft has its faults, and it’s very easy to take shots at the firm as it makes any number of mistakes; recall last year’s Jerry Seinfeld ads for example. However, unless you’re using an ancient machine or a very, very, very cheap one, we’d be very surprised if typical and relatively high-powered users didn’t prefer Vista after using it. It’s better-looking and works at least as well if not better. To be clear, you don’t need to buy hardware that costs in the four digits to be happy with Vista’s performance.
Maybe Mr. Mossberg does know how to shut off the “annoying nag screens” or maybe he doesn’t. If he doesn’t, do you really want to take hardware and operating system purchasing advice from him? If he does, why didn’t he mention it or ignore them. We don’t trust him.
It’s Ungracious, but We Told You so
Our previous post, Help Wanted: Looking for Banking’s Harrison Bergeron, relates the dystopic forced-equality of Kurt Vonnegut’s short-story, Harrison Bergeron, with what seems to be Treasury Secretary Geithner’s plan to not allow healthy financial firms to repay/refund their government investments.
Back on October 7, 2008, in Even A Perfect Bailout Will Fail, we wrote:
Finally, does the reader imagine that once the crisis recedes, the federal government will voluntarily give up control of the new portion of the economy that it controls? Generally, to induce the government to shrink requires, if not a literal revolution, at least a figurative one, e.g., the Reagan Revolution. Without such a revolution, what hope does the economy have with more government interference?
Now, we don’t think the overall crisis has receded and we don’t think the the bailout has been anything close to perfection, but we don’t think it’s too early to crow. It does seem that certain firms do not need – and probably didn’t need – federal government funds. However, it does seem that federal government official and bureaucrats lack the self-control to release these firms from direct investment control. (Of course, would still be under their regulatory oversight – not that that fact provides us with any comfort.)
Already, during the past several weeks there has been a plethora of stories about government meddling in compensation, lending policies, etc.
It seems ironic, but with all the bankrupt firms and individuals who cannot repaid their debts, as it stands today, it doesn’t seem the Obama and Geithner want to be repaid by the creditworthy ones.
Help Wanted: Looking for Banking’s Harrison Bergeron
We thought that we mentioned Kurt Vonnegut’s excellent short story, Harrison Bergeron, in a previous post, but we can’t seem to find it in the archives. We have recommended it to any number of friends and acquaintances, and recommend it to you, dear reader, too. It is quite short and quite good and quite free at the above link.
We know that we’re not the first to analogize Geithner’s plan with the forced-equality dystopia that Harrison Bergeron rebels against, but an article in today’s edition of The Wall Street Journal makes the similarities crystal clear. In fact, the first sentence in Geithner Weighs Bank Repayments says it all: “ Treasury Secretary Timothy Geithner indicated that the health of individual banks won’t be the sole criterion for whether financial firms will be allowed to repay bailout funds, a position that might complicate their efforts to give back the cash.”
In sum, Geithner’s position seems to be: let’s cripple the best firms to make them all equal (or at least appear equal). Clearly, it’s untenable and silly and, frankly, quite unAmerican. (Our own late mother had the stated position that each of her children were equal in every way, and like all of our siblings, we rebelled against it to stress our uniqueness. Fortunately, no one did anyone too stupid or harmful or permanent, but that probably had more to do with good fortune than with anything else. We’re trying not to make that mistake with our children, but we’re sure that we’ll make new ones.)
Given the tea parties and the public’s general disenchantment with the bailouts and handouts and cronyism and spending and taxes, we wonder whether a hero will rise from the streets, or at least from the banking industry, to challenge Geithner’s and Obama’s policies of forced equality. His or her argument should be quite simple: in a fungible, dynamic, global economy how does hamstringing the better domestic firms benefit anyone other than foreign firms?
Mr. Geithner, the weak do not get stronger by making the strong weaker. Crippling the strong only cripples the strong and nothing more.
With firms like Goldman Sachs and J.P. Morgan expressing their desire to refund the government investments, we hope that someone within the firms or outside of them rises up to defend them (and the coincident American Way) and put an end to the nonsense.
Please remember, Mr. Geithner, per our oft-cited Hippocrates reference, “first, do no harm.” In our opinion, you’re not off to a very promising start.
Let’s hope banking’s Harrison meets a better fate.
More Capital Ratio Silliness
The Irrelevance of Book Equity and Capital Ratios
Last month we wrote March Madness: New Bank Capital Requirements. In that, we stated: “We’ve always thought that such requirements were stupid and provided a false sense of security: kind of like ducking and covering under one’s school desk as practice and preparation for a nuclear explosion.”
We also provided an example from an old merger of two rust belt firms. At the time of the merger, the firms had combined book values of $2.0 billion ($2,000 million) but combined market values of about $300 million. At its theoretical best, book value represents net expected future benefits from past transactions or events, whereas market value represents net expected future benefits from all transactions and events – both past and anticipated. In the rust-belt merger example, at the time, equity investors had concluded that the future would be bleak, and it turned out to be, but also at the time, no loan covenants were breached.
We think that’s worth restating because on Monday, Bank of America reported common shareholders’ equity of $166 billion, yet finance.google.com reports that the market value of common stock was about $50 billion. Now, exactly how relevant is the book value of $166 billion when investors value the firm at less than one-third of it? We’d say, “not very.”
Think about it. Do you care if your house has a net book value of $166,000 if its net market value is $50,000. Or, ignoring tax-planning implications, do you care if your leveraged portfolio has a book value of $166,000 if it can be liquidated for $50,000? Would you make decisions based upon the actual net equity of $50,000 or the reported net equity of $166,000? What do you think that, say, potential creditors would consider when offering financing? Moreover, what would you want them to consider if those creditors were acting as agents for you? There may be regulatory implications to the book values, but it seems that investors have concluded that those regulations (and all of the subsidies) haven’t provided enough stability or value to secure their residual interests.
Also, realize that B of A’s net book value is greater because its liabilities are worth less than they were, which is not quite completely worthless. The prices for claims on the gross assets have declined. These are the silly, unrealized accounting gains are shown as resulting from increases in credit spreads. In B of A’s case, they recognized at least $2.2 billion of them in the first quarter although it was probably more. (We wrote about this topic in December in Marking Debt to “Market” or Addition Through Subtraction.
By the way, and of course, B of A is not alone with its imbalance between its lower net market value and its much higher net accounting value. In fact, Citi’s ratio of market-to-book equity ratio is substantially smaller. And remember, that’s despite the hundreds of billions of dollars of guarantees made by the U.S. government on Citigroup’s behalf.
Will University Endowments See Additional Losses?
With Private Equity and other Illiquid Investments, then most likely, Yes.
We’ve written about university endowments on a few occasions, with Set an Example, Mr. Cohon! being the most recent. While we’re fond of just about everything we write, in this subset of posts, we particularly like our analogy of investing and bicycling in The Harvard-Yale-CALPERS Cycling Club. In fact, we’ll probably extend it when we have the opportunity.
An article in this past Saturday’s Tribune-Review, Carnegie Mellon loses $300 million in investments, reminded us of an important fact that we haven’t mentioned before, and that relates to the difficulty for investors of illiquid assets to estimate their losses in a timely fashion. Given the recent end of the first-quarter, it seems like a worthwhile time to mention this fact (although while the Carnegie Mellon article spurred us to write, we haven’t checked to see the size of CMU’s investments in private equity.)
First, recall that many universities crowed that there endowments had lost less than the general “markets” as of last June 30. Other than superior investing ability or good fortune, there is another possible explanation for that phenomenon, which will likely now hurt them.
By now, just about everyone who would visit this page understands the issues related to mark-to-market accounting – mainly that there are very few deep and liquid markets with current, reliable prices; so, the book value that is supposed to be a “mark-to-market price” is often an internal mark-to-model calculation or external quote from a friend. Those calculations may or may not represent anything other than the application of a formula or algorithm, and a quote from a friend is just that – a friendly quote, but that’s not today’s topic.
Instead, consider one of the grossest absurdities of investing life: a frequent accounting treatment for private equity. By definition, if it’s private equity there is no market and no market price, yet often it must be “marked” to it.
While that’s problematic – actually it’s just plain stupid and contradictory – that’s not the larger problem with which certain endowments may now have face. The bigger problem is that the endowment may report the “values” of certain private equity funds on a three-to-six month lag – depending upon when the reports are sent and when your investment committee meets to review and accept them.
So, imagine that you are an endowment investment officer and like many others, you’ve invested in a private equity fund or two or three, because, hey, at the time, there didn’t seem to be much risk and the historical and projected returns looked great. (Well, that’s what the salesmen and consultants said, and they’re alumni or their fathers are on the board of trustees or whatever.)
Sometime in May, as a fund investor, you’ll receive fund statements with values as of December 31 or even earlier, and you’ll have to re-mark the endowment values to those reported values.
Does the reader think that those private equity fund values may show declines? Except in very rare cases, we’d think that values would have had to decline – in some cases substantial declines – especially given those “as-of” dates. Or, does the reader think that such deferred losses have been anticipated and communicated to fund investors? In our mind, that would be a very hopeful outlook, especially if the private equity fund manager had made capital calls during in the interim, i.e., asked investors to fund their remaining contractual commitments. In that case, the fund managers would have had very little incentive to share additional and precise bad news with their investors.
So, given the lag, if such projections haven’t been provided to endowments and accepted by them, then anticipate endowments with private equity holdings to realize additional losses in the very near future – most likely during the second quarter of 2009, which for many, is the last quarter of their fiscal year. We doubt that other illiquid investments fared much better or are marked more frequently; so, expect a reversal of last June’s (relatively) good fortune.
Learning the Difference Between Risk and Uncertainty, or not
Update: if you’re looking for an academic distinction, see: The Difference between Risk and Uncertainty. In the post below, we criticize firms for not changing their practices despite the recent failures of their estimations, methodologies, and models. Of course, we think that both are worth reading.
Every Monday morning for the past several years, we’ve received an e-mail from http://jobs.phds.org that lists available positions according to our specifications, which are:
“Send Weekly emails containing jobs…
…for PhDs in: Business /Finance /Economics
…of types: Contract /Project /Temporary, Employee, Non-tenure-track faculty, Postdoctoral researcher, Tenure-track /tenured faculty
…in sectors: all
…located: in United States
…with keywords: none
Generally, there’s 20 — 40 positions listed each week, and most of those involve quantitative finance, usually in the NYC area. For the past year or so, we’ve been particularly interested to see if the job descriptions would change given the failure of many quantitative trading strategies, modeling techniques and risk measures. (Yeah, we know they didn’t actually “fail.” Recent results were just plain bad luck that no one could have predicted. The models worked perfectly, except when they didn’t.)
Unfortunately, our parenthetical sarcasm seems to be the implicit position of many financial firms – without the sarcasm, of course. We say because we haven’t observed any change in the posted job descriptions in the jobs.phds.org emails or any of the other ones that we receive from recruiters who regularly send similar descriptions.
Now, we’ve been meaning to write about this observation for a few months but were finally motivated to do so because of several other items we read this morning, including two opinion columns and one article.
The article, Computer-Trading Models Meet Match in The Wall Street Journal, describes how several algorithmic-based hedge funds have lost money recently because of “the recent high volatility.” So, we guess their models aren’t flawless.
One of the op-ed pieces is by L. Gordon Crovitz, and it is also in the Journal: In Finance, Too, Learning Entails Risk. In it, Mr. Crovitz attempts to relate “financial engineering” to other types of engineering, e.g., mechanical engineering, and he seems to imply that it’s still a young discipline; so, give it time, but we think that his argument ultimately fails and is unconvincing.
That’s because “financial engineering” isn’t really engineering, which we’d define as the thoughtful application of science or technology to (or in) a well-understood, physical environment. Finance is a subset of a social “science.”
Mr. Crovitz writes in his last paragraph that: “The measure of innovators is not in the mistakes they make, but in the lessons they learn. We now know that our complex markets need better models, which should include more humility, acknowledging that some risks are still too uncertain to measure and should be avoided.” We’d argue with the “still too” in the last sentence as we doubt that such social uncertainty can be resolved or precisely measured. (By the way, we also disagree with his conclusion in that sentence that “some risks…should be avoided.” We have no problem with folks taking wild or uncertain gambles; however, we see no reason that we should subsidize their losses when those gambles go bad.)
To his main point, however, we don’t see much learnin’ goin’ on. It seems to be business as usual at many firms and funds.
A much more critical op-ed piece is by Michael Barone, and it’s entitled ‘Formulas’ for certain failure, and his first sentence is “Beware of geeks bearing formulas.” He discusses (and criticizes) financial models, global warming/climate change models, and health-care models, and it reads much like our post from six months ago, Global Warming and the Mortgage Crisis. Remember that this is Michael Barone, who is very well-known for using statistical data in the analysis of politics and demographics.
As usual, we point new readers to our essay, Uncertainty Management, which details our perspective and philosophy on these issues as well as any number of related posts: see our blog archives. The main point is that not all uncertainty is measurable, i.e., that measurable uncertainty, or risk, is a proper subset of uncertainty and unknowing. (In other words, specific mathematical conditions must be met for uncertainty to be risk. So, uncertainty is a more general term, i.e., all risk involves uncertainty, but not everything that is uncertain is risky because not all uncertainty is measurable, which a specific mathematical definition.)
As we read the evidence, many institutions and their ‘quants’ will continue to solve mis-specified risk problems, because they don’t know how to treat more diffuse and difficult uncertainty problems; so, they assume them away and treat them as risk problems. We’re clearly not underestimating the difficulties these folks face nor the necessity of making trade-offs, but we’re not sure if they understand the nature of the problem or trade-off. As we’ve written many times before, if they don’t understand them, then they are ignorant, and if they do, then they are cynical., e.g., Our Eternal Question: Cynical or Naïve? Neither charactistic is appealing or useful.
Ignoring the larger epistemological issues and the problem of induction, here’s a simple example of the difficulty of making inferences and finding useful information. Even when a distribution can be perfectly known, it’s moments – like the mean and variance – need not exist. (Look a Cauchy distributions and, more generally, certain stable distributions. While one can calculate historical means and variances from a time series, those “estimates” may be nonsensical. (They can’t estimate something that doesn’t exist.) The arithmetic can be performed, but the notion is empty.
As we see it, too often if one has a (risk) hammer, then everything looks like a (risk) nail, and it’s easy to pound away, especially when the alternate is to admit that a solution doesn’t exist, which too often sounds like, “I don’t know.” So, while various numbers can be calculated – even calculated very precisely, earnestly, and diligently – to do so is to apply technology, but it’s not engineering nor is it very smart and it can be very harmful.
