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Cross-border exchanges and volatility forecasting
Authors:Abhinav Goyal  Vasileios Kallinterakis  Dimos Kambouroudis
Institution:1. Department of Accounting and Finance, University of Liverpool Management School, Chatham Building, Chatham Street, Liverpool L69 7ZH, UK;2. Department of Accounting and Finance, University of Stirling Management School, Stirling FK9 4LA, UK
Abstract:We test for the performance of a series of volatility forecasting models (GARCH 1,1; EGARCH 1,1; CGARCH) in the context of several indices from the two oldest cross-border exchanges (Euronext; OMX). Our findings overall indicate that the EGARCH (1,1) model outperforms the other two, both before and after the outbreak of the global financial crisis. Controlling for the presence of feedback traders, the accuracy of the EGARCH (1,1) model is not affected, something further confirmed for both the pre and post crisis periods. Overall, ARCH effects can be found in the Euronext and OMX indices, with our results further indicating the presence of significant positive feedback trading in several of our tests.
Keywords:Volatility forecasting  Exchange groups  Feedback trading  Global financial crisis
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