Volatility timing : how best to forecast portfolio exposures


Autoria(s): Clements, Adam; Silvennoinen, Annastiina
Data(s)

01/12/2013

Resumo

This paper investigates how best to forecast optimal portfolio weights in the context of a volatility timing strategy. It measures the economic value of a number of methods for forming optimal portfolios on the basis of realized volatility. These include the traditional econometric approach of forming portfolios from forecasts of the covariance matrix, and a novel method, where a time series of optimal portfolio weights are constructed from observed realized volatility and directly forecast. The approach proposed here of directly forecasting portfolio weights shows a great deal of merit. Resulting portfolios are of equivalent economic benefit to a number of competing approaches and are more stable across time. These findings have obvious implications for the manner in which volatility timing is undertaken in a portfolio allocation context.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/65044/

Publicador

Elsevier BV

Relação

http://eprints.qut.edu.au/65044/1/econloss_2013_19May.pdf

DOI:10.1016/j.jempfin.2013.09.004

Clements, Adam & Silvennoinen, Annastiina (2013) Volatility timing : how best to forecast portfolio exposures. Journal of Empirical Finance, 24, pp. 108-115.

Direitos

Copyright 2013 Elsevier B.V.

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Empirical Finance. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Empirical Finance, [Volume 24, (December 2013)] DOI: 10.1016/j.jempfin.2013.09.004

Fonte

QUT Business School; School of Economics & Finance

Palavras-Chave #Volitility #Utility #Portfolio allocation #Realized volitility #MIDAS
Tipo

Journal Article