Artificial Neural Network Applications for Predicting Volatility in Stock Markets:A Review

Authors

  • Parimal Kumar Sen Goenka College of Commerce and Business Administration, Kolkata
  • Debojyoti Das IIM, Raipur

DOI:

https://doi.org/10.33516/maj.v50i10.108-112p

Abstract

With global advancements in trade and finances coupled up with liberalization of economy led the evolution of complex and interdependent financial systems. Such economic progressions has brought in trade of various financial assets and also established mutual dependency on various macroeconomic and behavioral factors. Such dependencies causes volatility in the price of assets, and gauging the magnitude and direction of such movements in the stock prices has been one of the preferred areas of investigation by the scholars in the sphere of financial economics as it entails considerable implications on wealth creation of investors.

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Published

2015-10-01

How to Cite

Sen, P. K., & Das, D. (2015). Artificial Neural Network Applications for Predicting Volatility in Stock Markets:A Review. The Management Accountant Journal, 50(10), 108–112. https://doi.org/10.33516/maj.v50i10.108-112p

Issue

Volume 50, Issue 10, October 2015

Section

Stock Market
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