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Computer applications in the context of financial speculation

Author

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  • Crescenzio Gallo
  • Michelangelo De Bonis
  • Pierpaolo Palazzo

Abstract

Prediction of various market indicators is an important issue in finance. This can be accomplished through computer models and related applications to finance, and in particular through Artificial Neural Networks (ANNs) which have been used in stock market prediction and exchange rates during the last decade. The prediction of financial values (such as stock/exchange rate index as well as daily direction of change in the index) with neural networks has been investigated and, in some applications, it turned out that artificial neural networks have both great advantages and some limitations for learning the data patterns and predicting future values of the financial phenomenon under analysis. In this paper we analyze the particular financial market called FOREX and the way ANNs can make affordable predictions on the evolution of exchange rates between currencies.

Suggested Citation

  • Crescenzio Gallo & Michelangelo De Bonis & Pierpaolo Palazzo, 2012. "Computer applications in the context of financial speculation," Quaderni DSEMS 02-2012, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    • Handle: RePEc:ufg:qdsems:02-2012
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    References listed on IDEAS

    as
    1. Don Bredin & Stuart Hyde, 2004. "FOREX Risk: Measurement and Evaluation Using Value‐at‐Risk," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(9‐10), pages 1389-1417, November.
    2. Jorion, Philippe & Sweeney, Richard J., 1996. "Mean reversion in real exchange rates: evidence and implications for forecasting," Journal of International Money and Finance, Elsevier, vol. 15(4), pages 535-550, August.
    3. Moore, Michael J. & Roche, Maurice J., 2002. "Less of a puzzle: a new look at the forward forex market," Journal of International Economics, Elsevier, vol. 58(2), pages 387-411, December.
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