DocumentCode
120837
Title
Frequency effects on predictability of stock returns
Author
Fiedor, Pawel
Author_Institution
Cracow Univ. of Econ., Kraków, Poland
fYear
2014
fDate
27-28 March 2014
Firstpage
247
Lastpage
254
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.
Keywords
information theory; pricing; profitability; share prices; stock markets; time series; NYSE 100 stocks; algorithmic trading profitability; frequency effects; information theoretic approach; price changes predictability measurement; price formation process deviation; stock return predictability; time series predictability; Algorithm design and analysis; Complexity theory; Context; Entropy; Estimation; Random variables; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on
Conference_Location
London
Type
conf
DOI
10.1109/CIFEr.2014.6924080
Filename
6924080
Link To Document