Preprint
Identifying Bull and Bear Markets in Stock Returns
Abstract
This paper uses a Markov switching model which incorporates duration dependence to capture nonlinear structure in both the conditional mean and variance of stock returns. The model sorts returns into a high return stable state and a low return volatile state. We label these as bull and bear markets respectively. The filter identifies all major stock market downturns in over 160 years of monthly data. We find that both bear and bull markets have …
Authors
Maheu JM; McCurdy TH
Publication date
January 1, 1999
DOI
10.2139/ssrn.146531
Preprint server
SSRN Electronic Journal