Modern Economy

Volume 2, Issue 3 (July 2011)

ISSN Print: 2152-7245   ISSN Online: 2152-7261

Google-based Impact Factor: 0.74  Citations  h5-index & Ranking

Duration Dependence in Bull and Bear Stock Markets

HTML  Download Download as PDF (Size: 169KB)  PP. 279-286  
DOI: 10.4236/me.2011.23031    4,913 Downloads   8,572 Views  Citations

Affiliation(s)

.

ABSTRACT

Testing duration in stock markets concerns the ability to predict the turning points of bull and bear cycles. The Weibull renewal process has been used in previous studies to analyze duration dependence in economic and financial cycles. A goodness-of-fit test, however, shows that this model does not fit data from U.S. stock market cycles. As a solution, this study fits the modulated power law process that relies on less restrictive assumptions. Moreover, it measures both the long term properties of bull and bear markets, such as the tendency of the cycles to become shorter (or longer), as well as the short term effects, such as duration dependence. The results give evidence of negative duration dependence in all samples of bull markets and evidence of positive duration dependence in complete, peacetime and post WWII samples of bear markets. There is no evidence of any structural change in duration dependence after WWII in either bull or bear markets. The results show that bull and bear markets tend to get progressively shorter, but for bull markets this trend has accelerated since WWII whereas for bear markets this trend has decelerated since WWII. Goodness-of-fit tests suggest that the modulated power is a suitable model for U.S. stock market cycles.

Share and Cite:

Zhou, H. and Rigdon, S. (2011) Duration Dependence in Bull and Bear Stock Markets. Modern Economy, 2, 279-286. doi: 10.4236/me.2011.23031.

Cited by

[1] Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process
Rokita, R Magiera - Computational Statistics, 2022
[2] Maximum Likelihood Estimation for an Inhomogeneous Gamma Process with a Log-linear Rate Function
Rokita, P Skoliński - Journal of Statistical Theory and Practice, 2021
[3] Revisiting the Duration Dependence in the US Stock Market Cycles
2020
[4] Not all bull and bear markets are alike: Insights from a five-state hidden semi-Markov model
2020
[5] Estimation and Prediction for the Modulated Power Law Process
Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2018
[6] Bayesian analysis of repairable systems with modulated power law process
Applied Mathematical Modelling, 2017
[7] IMPERFECT REPAIR MODELS INCORPORATING THE COVARIATES: AN APPLICATION
SRJIS, 2015
[8] Modelling of Indian Stock Prices using Nonhomogeneous Poisson Processes with Time Trends
R Shah, K Muralidharan - iosrjournals.org, 2014

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.