Financial markets: very noisy information processing

We report new results about the impact of noise on information processing with application to financial markets. These results quantify the trade-off between the amount of data and the noise level in the data. They also provide estimates for the performance of a learning system in terms of the noise...

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Bibliographic Details
Published inProceedings of the IEEE Vol. 86; no. 11; pp. 2184 - 2195
Main Authors Magdon-Ismail, M., Nicholson, A., Abu-Mostafa, Y.S.
Format Journal Article
LanguageEnglish
Published IEEE 01.11.1998
Subjects
Change detection algorithms
Convergence
Data mining
Economic forecasting
Information processing
Instruments
Learning systems
Noise level
Testing
Working environment noise
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Summary:We report new results about the impact of noise on information processing with application to financial markets. These results quantify the trade-off between the amount of data and the noise level in the data. They also provide estimates for the performance of a learning system in terms of the noise level. We use these results to derive a method for detecting the change in market volatility from period to period. We successfully apply these results to the four major foreign exchange markets. The results hold for linear as well as nonlinear learning models and algorithms and for different noise models.
ISSN:0018-9219
1558-2256
DOI:10.1109/5.726786