KWrite

Rational Evolution

March 31st, 2008

Subprime crisis: heroes and criminals

http://www.kfwimer.com/images/ss-subprime.jpg

The American subprime market meltdown started in the summer 2007 has caused a terrible shock wave effect on the US economy as well as on the world economy. Many financiers and financial institutions cried and blamed at each other for having caused this mess. But who are really the criminals, and maybe *heroes*, during this economic war time?

1. Black Swan Prophecy

Since the fall 2007, it’s very probable that whenever there is a crisis, people will cry out the name Nassim Taleb. The option trader who got his initial fame for pocketing of $35-40 million on the Black Monday (1987) is now even more famous as a best-selling author and as a philosopher of randomness as he calls himself. Since Bloomberg has recently repainted a glamorous picture of Taleb, I have not much more to talk about him.

Originally Posted by Bloomberg

On a freezing day in March 2007, Nassim Taleb walked into a conference room at Morgan Stanley’s Manhattan offices on 47th Street and Broadway to address a group of the firm’s risk managers. His message: Your models don’t work.

Only six months later, Morgan Stanley experienced its own rout. The world’s second-biggest mergers adviser announced in December that it had written down its subprime-related holdings by $9.4 billion after the firm’s traders misjudged how fast and far prices of the debt would fall. Their risk management had failed.

Is Taleb just a regular philosopher of randomness or is he himself an almighty prophet? What makes Black Swan popular may be not the philosophy itself but instead his inexplicable timing, from the 1987 crash to Societe Generale’s huge trade loss to Morgan Stanley’s $9.4 billion writedown (all described in Bloomberg’s article). Note that he published his Black Swan book in May 2007, just a couple of months before the subprime meltdown (which is a Black Swan event according to his theory) began.

It’s quite possible that Taleb is merely obsessed with Black Swans and make black-swan bets on everything. It just happens that when something extremely bad happens, the human reaction makes it even worse than it was typically modeled. That makes Taleb win big on average.

There’s undoubtfully a lot of hype about the guy right now. It’s just hard to decrypt this hype in its full glory. The only lesson we can take for granted from this controversial figure is: don’t be fooled by randomness.

2. The Criminals

Financial modelers (or quants) have recently been placed under strong criticism for the handling of the subprime market, for example as in Daniel Carroll’s article “When Quants Fail”. This is in some sense aligned with the comments of Julian Shaw in How I became a quant. I in fact highly rate Julian’s story out of a bunch of other stories in that same book.

Originally Posted by Daniel Carroll

People just get impressed with complex mathematics, especially when they don’t understand it. As a trained mathematician, I often have a hard time understanding why. I don’t, however, have a hard time understanding why these models fail periodically.

On the other hand, Professor Nicole El Karoui (see also a featured article about her on WSJ) had an interesting interview with Le Monde in which she affirms Mathematics shouldn’t be blamed for the mortgage bubble.

Mathematics and Sciences should never be blamed. The problematic reality is … most of us don’t fully grasp their true spirit. Perhaps more than 90% of mathematical reseach is trash or even totally wrong. In academia, this results in papers with low number of citations and then no one really cares about it. However, in an investment bank, an incomplete model (let alone bullshit models) may be disastrous. With the 1987 crash and the subprime meltdown in the pocket, quants on average may look more like monsters rather than protagonists.

The bigger criminals here of course would include the managers who gave too much power to their quants that are obsessed by and over-confident about their wrong models. Let me end this short discussion by quoting a nice summary of who and what to blame for the subprime crisis, posted on Wilmott:

We have to blame the whole system:

  1. The managers (investors) that followed quants blindly just cos they can really do awesome maths
  2. Central Banks that don’t understand a sh** about financial behavior and are the first to make a mess with the rules
  3. Some Quants that are so arrogant that followed their models blindly just because it had a really nice fit to historical data. so they feel like Gods sometimes until they find they were fooled by randomness
  4. Inputs and assumptions are more important than the mathematical quality of the model (of course this is also important to get the correct outputs)
  5. University degrees in finance are not as well designed as they should be
  6. Lots of people in Banks and Central Banks come from Economy, Engineering, Maths instead of Management and Finance (Management is really under rated nowadays)
  7. People care a lot with complex models instead of looking for simple strategies that can make awesome trades. In management and Finance we say that complexity must me charged with extra fee. What we’re seeing was the opposite though. Complexity were being priced at low cost
  8. Most people like mysticism and don’t believe in their skills. They are willing to put a lot of money in a black box trading algorithm or in a fund instead of investing by themselves
  9. Greedy managers that don’t understand the risk-return trade-off
  10. Trading bonuses which sometimes encourage traders to behave very differently than if they were to invest their personal capital

March 22nd, 2008

Economics Interview Questions

Well, maybe you haven’t seen some of the following questions at any firm yet, cuz I’m the creator . But I’m sure that they’re well-known in the Economics literature. Anyway, I guarantee these’re interesting questions .

1. Monetary Theory -> Fractional Reserved Banking. Why doesn’t a government put a high minimum reserve-fraction? Let’s suppose that on a good Friday (which is today) the US government decides to set the minimum reserve at 50%. Of course, in doing that, it also needs to either offer more government bonds or print more currency (M0) in order to balance the desired total money in circulation.

What are the pros and cons of this minimum-reserve increasing policy?

[I have my own answer but I'm also looking to see more and better insights.

Here is a couple of hints on Pros:
- There will be less commercial banks. A lot of intellectually qualified bankers will move to other more useful industries, which produce real goods.
- Every existing bank will reduce the risk of having a bank run. Hence, the risk of having a financial crisis or economic recession also decreases.]

2. Wait until next good Friday?

January 29th, 2008

Joke of the day

Source: The Times

Nicolas Sarkozy appointed Mr Kerviel yesterday to the post of Finance Minister, to replace Christine Lagarde: “He has only lost €5 billion, while she has a deficit of €50 billion,” according to “Sarko”.

January 15th, 2008

Wall Street Interview Questions

[from www.vnqf.org]

  1. Let W_t be a Brownian motion. What is \mathbb{E}[W_t^6]?
  2. How do you compute \int_0^\infty e^{-3x^2}dx
  3. After each second, an insect may: either die, or survive, or split into 2, or split into 3 (each with probability 0.25). Suppose that there’s 1 insect at the beginning of the day, what is the probability that the whole population dies at the end of the day?
  4. (Programming) Given 2 variables a and b. How do you swap the values of a and b without using any extra memory?
  5. (Blog KHMT) Suppose (infinite power). What is x?

July 26th, 2007

VN Quantitative Finance Society

We are excited to announce the opening of the VN Society for Quantitative Finance (http://www.vnqf.org).

Quantitative Finance/Financial Engineering is a disciplinary and fast growing field in the world. In Vietnam, there are more and more people interested in Finance and Investments due to many reasons. Therefore, the demand of applying Quantitative Analysis in Finance also increases significantly. When the financial market becomes mature in the near future, Quantitative Analysis will be an obviously important part, like in any developed countries.

For the past few years, we also have observed an increase in number of Vietnamese students and scholars in this exciting field. Thus, this society is founded with the following missions:

  1. Build a network of people who are interested in Quantitative Finance (QF) and create an environment for networking/discussions among these fellows.
  2. Promote Quantitative Finance in Vietnam
  3. Build a bridge between Academics and Financial Companies
  4. Help new students on career paths and on studying Quantitative Finance (or related fields such as Applied Math, Computer Science, Physics, Economics, Finance, etc.) in developed countries.

If you’re interested disciplined approach to Finance, we’d like to invite you to this society (http://www.vnqf.org/forums/register.php). We hope this will give us chance to know each other on professional level, and if possible, on personal level as well. Due to the interdisciplinary nature of QF, we also hope that this society will foster collaborations among researchers with different expertises, which is a current research trend nowadays. For more information, please visit http://www.vnqf.org/forums/general/690-vnqf_overview.html

Now as the society opens, we are in grave need of some great initiatives. We hope that you will share with us your visions and expectations.

Sincerely yours,
VNQF Core Team

|