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2015 | 16 | 1 | 116-125

Article title

ARTIFICIAL NEURAL NETWORK SUPPORTING THE PROCESS OF INVESTING ON THE FOREIGN STOCK EXCHANGES

Content

Title variants

Languages of publication

EN

Abstracts

EN
The publication presents the use of artificial neural networks as a tool expert that supports the process of decision-making for the quarterly period to invest in selected stock exchanges. It proposes a set of 10 features of exchanges, which is of enough universal character that the approach presented in the publication may be useful for any chosen stock exchange. The conducted study was based on actual data.

Year

Volume

16

Issue

1

Pages

116-125

Physical description

Dates

published
2015

Contributors

  • Department of Regional Policy and Food Economy, University of Rzeszow
  • Department of Computer Engineering, University of Rzeszow

References

  • Azoff, E. M. (1994) Neural Network Time Series Forecasting of Financial Markets,1st ed., Chichester, Wiley.
  • Elton E.J., Gruber M.J. (1995) Modern portfolio theory and investment analysis, John Wiley&Sons, Inc., New York, pp. 100-102.
  • Foster D. P., Hart S., (2009) An Operational Measure of Riskiness, Journal of Political Economy, Vol. 117, No. 5, pp. 785-814.
  • Francis J.C. (2000), Inwestycje. Analiza i zarządzanie, Wig-Press, Warszawa, pp. 287-290.
  • Kalemli-Ozcan S., Papaioannou E., Peydr’o J.-E. (2013) Financial Regulation, Financial Globalization, and the Synchronization of Economic Activity, The Journal of Finance, Vol. 68, No. 3, pp. 1179-1228.
  • Lui Y.-H., Mole D. (1998) The use of fundamental and technical analyses by foreign exchange dealers: Hong Kong evidence, Journal of International Money and Finance No. 17, pp. 535-545.
  • Lynch A.-W. (2001) Portfolio choice and equity characteristics: characterizing the hedging demands induced by return predictability, Journal of Financial Economics, No. 62, pp. 67–130.
  • Markowitz H. (1952) Portfolio Selection, The Journal of Finance, Vol. 7, No. 1, pp. 77-91.
  • Menkhoff L. (2010) The use of technical analysis by fund managers: International evidence, Journal of Banking & Finance, No. 34, pp. 2573–2586.
  • Menkhoff L., Sarno L., Schmeling M., Schrimpf A. (2012) Carry Trades and Global Foreign Exchange Volatility, The Journal of Finance, Vol. 67, No. 2, pp. 681-718.
  • Morajda J., Domaradzki R. (2005) Application of Cluster Analysis Performed by SOM Neural Network to the Creation of Financial Transaction Strategies, Journal of Applied Computer Science, Vol. 13. No 1, pp. 87-98.
  • Pokharel G., Deardon R. (2014) Supervised learning and prediction of spatial epidemics, Spatial and Spatio-temporal Epidemiology, No. 11, pp. 59–77.
  • WFE, (http://www.world-exchanges.org/) [Accessed 28 August 2015].

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-20406e31-97a3-4479-a2b2-168557b26f41
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