Cross-border exchanges and volatility forecasting

Abhinav Goyal, Vasileios Kallinterakis, Dimos Kambouroudis, Jason Laws*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)789-799
Number of pages11
JournalQuantitative Finance
Volume18
Issue number5
DOIs
Publication statusPublished - 4 May 2018

Bibliographical note

Publisher Copyright:
© 2018 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Exchange groups
  • Feedback trading
  • Global financial crisis
  • Volatility forecasting

ASJC Scopus subject areas

  • Finance
  • Economics, Econometrics and Finance(all)

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