
Via, the always excellent, Simoleon Sense, comes this paper (pdf) by Sheen S. Levine and Edward J. Zajac.
Abstract
Financial bubbles remain a challenge for economic theory. Puzzlingly, bubbles occur not only in real-world markets, with their inherent uncertainty and noise, but also in highly controlled experimental markets, even when uncertainty is eliminated and calculating the expected returns should be a simple statistical exercise. We propose that bubbles can be understood as episodes of institutional logic. Such logic has been shown to play a pervasive role in the spread of beliefs, behavior, and practices among individuals and organizations, both in laboratory and field studies. We examine experimentally two alternative explanations for the appearance of bubbles: 1) that participants lack knowledge and eventually learn to price correctly and 2) that each participant overconfidently believes that her understanding of the situation is better than average. We find lack of support for either, and show that the appearance of bubbles is congruent with institutionalization processes, similar to those observed elsewhere in financial markets and organizations.
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November 1-5, 2010 - Professor Tim Bollerslev
The past year has seen some unprecedented changes in day-to-day asset prices within and across most financial markets, clearly highlighting the need for accurate and reliable volatility and correlation measurement, modeling, and forecasting procedures. This course surveys the most prominent volatility and correlation techniques developed over the past two decades, along with their many practical uses ranging from asset and option pricing, portfolio allocation, risk measurement and management, to direct volatility and correlation trading. The discussion is designed to strike a balance between intuition and mathematical rigor and also includes consideration of practical computational issues as well as a guest lecturer from the financial services industry illustrating the importance of volatilities and correlations in financial market risk assessments. The course develops an appreciation and understanding of the importance of time-varying volatility and correlation in financial asset returns, the tools and techniques of modern financial volatility and correlation measurement, modeling and forecasting, as well as the pitfalls and opportunities that arise as the new technologies move forward.