The acceleration of the U.S. productivity growth in the late 1990s suggests a significant advance in technological innovation, making the perceived probability of entering a "new economy" ever increasing. Based on macroeconomic data, we identify a Bayesian investor's belief evolution when facing a possible structural break in the economy. We show that such belief evolution plays a significant role in explaining both the stock market boom and crash during 1998 to 2001. We conclude that a rational investor's uncertainty about the future of the U.S. economy provides an alternative explanation for the late 1990s stock market "bubble." © 2009 the American Finance Association.
CITATION STYLE
Li, C. W., & Xue, H. (2009). A Bayesian’s bubble. Journal of Finance, 64(6), 2665–2701. https://doi.org/10.1111/j.1540-6261.2009.01514.x
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