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Appears in Collections:Accounting and Finance Journal Articles
Peer Review Status: Refereed
Title: Is there an ideal in-sample length for forecasting volatility?
Author(s): Kambouroudis, Dimos S
McMillan, David G
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Keywords: Forecasting
Stock market
Issue Date: Jul-2015
Date Deposited: 7-Jan-2016
Citation: Kambouroudis DS & McMillan DG (2015) Is there an ideal in-sample length for forecasting volatility?. Journal of International Financial Markets, Institutions and Money, 37, pp. 114-137.
Abstract: There is limited research carried out to date in the academic literature addressing the issue of the ideal in-sample size when forecasting volatility. This paper therefore considers how much data is required in order to produce accurate forecasts. Broadly speaking, two views exist between practitioners/investors who typically prefer a small in-sample to minimise data holding requirements and researchers/academics who typically chose large in-sample periods. Using a process of expanding window regressions where the in-sample start period expands (backward recursion) we conduct forecasts over twenty-three international markets, including both developed and emerging. Our findings, which demonstrate a degree of homogeneity, show that for the majority of the markets large in-sample periods are not necessary in order to produce the most accurate forecasts supporting the practitioners’/investors’ view.
DOI Link: 10.1016/j.intfin.2015.02.006
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