Frequency effects on predictability of stock returns

P. Fiedor

Published 2013 in IEEE Conference on Computational Intelligence for Financial Engineering & Economics

ABSTRACT

We propose that predictability is linked with profitability in a complex manner. We look at ways to measure predictability of price changes using information theoretic approach and employ them on historical data for NYSE 100 stocks. This allows us to determine whether frequency of sampling price changes affects the predictability of those. We also study relations between price changes predictability and the deviation of the price formation processes from iid as well as the stock's sector. We also briefly comment on the complicated relationship between predictability of price changes and the profitability of algorithmic trading.

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