King's College London

Research portal

Volatility forecasting in practice: exploratory evidence from European hedge funds

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)245–258
JournalJournal of Asset Management
Volume19
Issue number4
Early online date4 Jun 2018
DOIs
Accepted/In press25 May 2018
E-pub ahead of print4 Jun 2018
PublishedJul 2018

Documents

Links

King's Authors

Abstract

This note provides survey evidence of volatility forecasting practices in a number of European hedge funds. Results confirm the academic consensus that option-implied volatility (IV) is a commonly used risk management and volatility forecasting tool among “sophisticated” investors, but also highlight the great popularity of simple historical models, whereas stochastic models are of lesser relevance. Sensible, market sentiment capturing forecasting solutions that reduce model complexity are not only demanded, but are also already implemented by a number of practitioners. The development of multi-model forecasting solutions that combine historical and IV information into a reliable predictor of volatility appears to be a promising path for research.

Download statistics

No data available

View graph of relations

© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454