Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets

Working Paper: CEPR ID: DP4104

Authors: Asger Lunde; Allan G. Timmermann

Abstract: This paper studies time-series dependence in the direction of stock prices by modelling the (instantaneous) probability that a bull or bear market terminates as a function of its age and a set of underlying state variables such as interest rates. A random walk model is rejected both for bull and bear markets. Although it fits the data better, a GARCH model is also found to be inconsistent with the very long bull markets observed in the data. The strongest effect of increasing interest rates is found to be a lower bear market hazard rate and hence a higher chance of continued declines in stock prices.

Keywords: hazard model; interest rate effect; survival rate

JEL Codes: G0


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
age of bull market (E32)hazard rate of bull market (G17)
age of bear market (N22)hazard rate of bear market (G17)
interest rates (E43)hazard rate of bear market (G17)

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