Two very interesting articles in my latest issue of New Scientist (July 19-25,2008). I will break them up into a few posts, to make them more readable.
Crunchonomics: Why Cling To An Economic Theory That Gets It So Wrong?
It is hard to find a chunk of light in the financial gloom looming over the U.S. Last week, U.S. federal regulators seized control of IndyMac, one of the nation's largest savings banks, after a crippling run on its deposits. Then the government announced plans to inject billions into the nation's two largest mortgage-finance companies amid panic over their massive debts and dwindling reserves. Just a few years ago we were told that the unprecedented sophistication of modern financial engineering had systematically reduced market risks, making events of this kind all but impossible. So what happened?
In part, it is a rerun of an old story---a tale of greed and lax oversight fueling a wave of speculative investment that was both unrealistic and unsustainable. Think 1990s dot.com bubble or 17th-century 'tulip-mania'. House prices, as anyone with any historical knowledge could tell you, do not always go up, yet many seem to have bought into the idea that they would. Some got rich by perpetuating that notion and playing the market with other people's money.
The crisis also seems to have been worsened by a woefully archaic theoretical understanding of markets. In assessing market risks, regulators still rely on what is called 'equilibrium theory', whose conceptual roots lie in 19th-century physics. This holds that market behavior reflects a balance between forces. Market values change, the theory says, only in response to external influences---new information about a company, for example, or a real change in the housing supply. Beyond these forces, markets have no real internal dynamics of their own.
Given how rumors drive markets up and down, and the way investors flock like sheep and follow the words of various gurus, this is clearly unrealistic. While some economists acknowledge as much, and focus their study on 'puzzling' deviations from equilibrium, only a few researchers have actually tried to build new foundations and move beyond the restrictions of equilibrium thinking. They have pioneered computer models that mimic markets by simulating the behavior of individuals, banks, hedge funds and other players, including regulators. These 'agent-based' models do not assume equilibrium from the outset, but instead let market behavior emerge naturally from the actions of interacting participants. As a result, the modelers can experiment with raising interest rates, say, or adjusting regulations to ease credit, and then see what happens.
One potentially pertinent insight from such models is that too much easy credit can be a dangerous thing. [LeRoy: Surely this is classic understatement.] As participants borrow ever larger sums of money to amplify the potential profit from their investments, their actions tie the fates of different participants ever more closely together. This pushes the market toward greater instability, making collective financial meltdown an almost inevitable consequence. [LeRoy: I have always said that too much leverage creates a 'house of cards' economy.]
Agent-based modelers admit their simulated markets need improvement. The most vexing problem remains validation---ensuring that the models give legitimate insight into real markets. Even so, [agent-based models already] outperform traditional ones in predicting core market features such as the statistics of daily or weekly price fluctuations.
It is odd then that most economists seem uninterested, and only a small minority have embraced the new approach. This hesitation appears to stem in large part from cultural inertia. While most of science is embracing the power of computer simulations to gain insights into complex systems with many interacting components, most economists remain dismissive of any work that is not based on strict mathematical proof.
Although the present crisis was not caused by poor economic models [LeRoy: I beg to differ with this remark!], those models have extended its reach by nurturing the complacent view that markets are inherently stable. And while no one should expect better models alone to prevent future crises, they may give regulators better ways to assess market dynamics, detect early signs of trouble and police markets. The cultural inertia of academic economics should not block anything that helps shed light on the markets that exert such a powerful influence over our lives. The regulation of markets ought to be based on the very best science [LeRoy: I would say ALL public policy should be based on the best science available!], even if that does mean abandoning some of economists' most cherished ideas.
LeRoy: More to follow.