Regime switching model of US crude oil and stock market prices: 1859 to 2013

被引:120
作者
Balcilar, Mehmet [1 ,2 ]
Gupta, Rangan [2 ]
Miller, Stephen M. [3 ]
机构
[1] Eastern Mediterranean Univ, Dept Econ, TR-10 Northern Cyprus, Mersin, Turkey
[2] Univ Pretoria, Dept Econ, ZA-0002 Pretoria, South Africa
[3] Univ Nevada, Dept Econ, Las Vegas, NV 89154 USA
关键词
Markov switching; Vector error correction; Oil and stock prices; UNIT-ROOT TESTS; TIME-SERIES; MAXIMUM-LIKELIHOOD; STRUCTURAL-CHANGE; ENERGY SHOCKS; MACROECONOMY; COINTEGRATION; HYPOTHESIS; DISTRIBUTIONS; IMPACT;
D O I
10.1016/j.eneco.2015.01.026
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper examines the relationship between US crude oil and stock market prices, using a Markov-Switching vector error-correction model and a monthly data set from 1859 to 2013. The sample covers the entire modern era of the petroleum industry, which typically begins with the first drilled oil well in Titusville, Pennsylvania in 1858. We estimate a two-regime model that divides the sample into high- and low-volatility regimes based on the variance-covariance matrix of the oil and stock prices. We find that the high-volatility regime more frequently exists prior to the Great Depression and after the 1973 oil price shock caused by the Organization of Petroleum Exporting Countries. The low-volatility regime occurs more frequently when the oil markets fell largely under the control of the major international oil companies from the end of the Great Depression to the first oil price shock in 1973. Using the National Bureau of Economic research business cycle dates, we also find that the high-volatility regime more likely occurs when the economy experiences a recession. (c) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:317 / 327
页数:11
相关论文
共 102 条
[11]  
Chauvet M., 1999, Journal of Economic and Social Measurement, V25, P235, DOI [10.3233/JEM-1999-0166, DOI 10.3233/JEM-1999-0166]
[12]   ECONOMIC FORCES AND THE STOCK-MARKET [J].
CHEN, NF ;
ROLL, R ;
ROSS, SA .
JOURNAL OF BUSINESS, 1986, 59 (03) :383-403
[13]   Calculating posterior distributions and modal estimates in Markov mixture models [J].
Chib, S .
JOURNAL OF ECONOMETRICS, 1996, 75 (01) :79-97
[14]   Energy shocks and financial markets: Nonlinear linkages [J].
Ciner, C .
STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, 2001, 5 (03) :203-212
[15]  
DAVIES RB, 1987, BIOMETRIKA, V74, P33, DOI 10.2307/2336019
[16]   Sectoral job creation and destruction responses to oil price changes [J].
Davis, SJ ;
Haltiwanger, J .
JOURNAL OF MONETARY ECONOMICS, 2001, 48 (03) :465-512
[17]   MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM [J].
DEMPSTER, AP ;
LAIRD, NM ;
RUBIN, DB .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01) :1-38
[18]   DISTRIBUTION OF THE ESTIMATORS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT ROOT [J].
DICKEY, DA ;
FULLER, WA .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (366) :427-431
[19]   Striking oil: Another puzzle? [J].
Driesprong, Gerben ;
Jacobsen, Ben ;
Maat, Benjamin .
JOURNAL OF FINANCIAL ECONOMICS, 2008, 89 (02) :307-327
[20]   DURATION-DEPENDENT TRANSITIONS IN A MARKOV MODEL OF UNITED-STATES GNP GROWTH [J].
DURLAND, JM ;
MCCURDY, TH .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 1994, 12 (03) :279-288