Regime Switching Model of US Crude Oil and Stock Market Prices: 1859 to 2013

作者: Mehmet Balcilar , Rangan Gupta , Stephen M. Miller

DOI: 10.2139/SSRN.2502152

关键词:

摘要: This paper examines the relationship between US crude oil and stock market prices, using a Markov-Switching vector error-correction model monthly data set from 1859 to 2013. The sample covers entire modern era of petroleum industry, which typically begins with first drilled well in Titusville, Pennsylvania 1858. We estimate two regime that divides into high- low-volatility regimes based on variance-covariance matrix prices. find high-volatility more frequently exists prior Great Depression after 1973 price shock caused by Organization Petroleum Exporting Countries. occurs when markets fell largely under control major international companies end 1973. Using National Bureau Economic research business cycle dates, we also likely economy experiences recession.

参考文章(96)
Joshua Matthew Pollet, Predicting Asset Returns With Expected Oil Price Changes Social Science Research Network. ,(2005) , 10.2139/SSRN.722201
Marcelle Chauvet, Stock Market Fluctuations And The Business Cycle Social Science Research Network. ,(2001) , 10.2139/SSRN.283793
Sylvia Frühwirth-Schnatter, Finite Mixture and Markov Switching Models ,(2006)
Francis X. Diebold, Joon-Haeng Lee, Gretchen C. Weinbach, Regime switching with time-varying transition probabilities Research Papers in Economics. ,(1993)
Hans-Martin Krolzig, Statistical Analysis of Cointegrated VAR Processes with Markovian Regime Shifts Research Papers in Economics. ,(1996)
G. William Schwert, G. William Schwert, Adrian Pagan, Adrian Pagan, Alternative Models for Conditional Stock Volatility Social Science Research Network. ,(1989)
Pierre Perron, Dealing with Structural Breaks Research Papers in Economics. ,(2005)
Denis Kwiatkowski, Peter C.B. Phillips, Peter Schmidt, Yongcheol Shin, Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics. ,vol. 54, pp. 159- 178 ,(1992) , 10.1016/0304-4076(92)90104-Y