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Appears in Collections:Accounting and Finance Journal Articles
Peer Review Status: Refereed
Title: Cross-border exchanges and volatility forecasting
Author(s): Goyal, Abhinav
Kallinterakis, Vasileios
Kambouroudis, Dimos S
Laws, Jason
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Keywords: Volatility forecasting
Exchange groups
Feedback trading
Global financial crisis JEL Classification: G01
Issue Date: 2018
Citation: Goyal A, Kallinterakis V, Kambouroudis DS & Laws J (2018) Cross-border exchanges and volatility forecasting, Quantitative Finance, 18 (5), pp. 789-799.
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.
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