The impact of information timeliness on the predictability of stock and futures returns – an application of vector models

The impact of information timeliness on the predictability of stock and futures returns – an application of vector models

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Article ID: iaor19981731
Country: Netherlands
Volume: 85
Issue: 1
Start Page Number: 111
End Page Number: 131
Publication Date: Aug 1995
Journal: European Journal of Operational Research
Authors: ,
Keywords: forecasting: applications
Abstract:

The objective of this study is to measure the influence of the freshness of information on the ability of an investor to forecast a stock index and the stock index future. The study uses data on the Finnish FOX index, depicting price movements of the Helsinki Stock Exchange, and the FOX futures index. We generate a set of representative VARMAX-models and retain the one that minimizes a weighted sum of Akaike's AIC-criterion and the SR-criterion of Schwartz-Rissanen.

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