Long memory;
Stock returns;
Volatility;
Bull and bear periods;
LONG-MEMORY;
FRACTIONAL-INTEGRATION;
CYCLES;
INFERENCE;
RANGE;
MODEL;
D O I:
10.1016/j.jimonfin.2012.12.002
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
In this paper we examine the statistical properties of several stock market indices in Europe, the US and Asia by means of determining the degree of dependence in both the level and the volatility of the processes. In the latter case, we use the squared returns as a proxy for the volatility. We also investigate the cyclical pattern observed in the data and in particular, if the degree of dependence changes depending on whether there is a bull or a bear period. We use fractional integration and GARCH specifications. The results indicate that the indices are all nonstationary I(1) processes with the squared returns displaying a degree of long memory behaviour. With respect to the bull and bear periods, we do not observe a systematic pattern in terms of the degree of persistence though for some of the indices (FTSE, Dax, Hang Seng and STI) there is a higher degree of dependence in both the level and the volatility during the bull periods. (C) 2013 Elsevier Ltd. All rights reserved.
机构:
Department of Accounting, McCoy College of Business Administration, Texas State Universtiy, San MarcosDepartment of Accounting, McCoy College of Business Administration, Texas State Universtiy, San Marcos
Rutledge R.W.
Zhang Z.
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机构:
Department of Finance, Long Island University, C.W. Post Campus, BrookvilleDepartment of Accounting, McCoy College of Business Administration, Texas State Universtiy, San Marcos
Zhang Z.
Karim K.
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机构:
E. Philip Saunders College of Business, Rochester Institute of Technology, RochesterDepartment of Accounting, McCoy College of Business Administration, Texas State Universtiy, San Marcos
机构:
Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Hong Kong, Peoples R China
Hui, Eddie C. M.
Chan, Ka Kwan Kevin
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机构:
Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Hong Kong, Peoples R China