Bayesian Arbitrage Threshold Analysis

Catherine Forbes, Guyonne Kalb and Paul Kofman

Journal of Business & Economic Statistics, 1999, vol. 17, issue 3, 364-72

Abstract: A Bayesian estimation procedure is developed for estimating multiple-regime (multiple-threshold) error-correction models appropriate for deviations from financial arbitrage relationships. This approach has clear advantages over classical stepwise threshold autoregressive analysis. Unlike many other applications of threshold models, the knowledge of some costs involved in setting up arbitrage positions allows the authors to specify an informative prior. To illustrate the Bayesian procedure, they estimate a no-arbitrage band within which index futures arbitrage is not profitable despite (persistent) deviations from parity.

Date: 1999
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Working Paper: Bayesian Arbitrage Threshold Analysis (1997)
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