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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Classical And Novel Risk Measures For A Stock Index On A Developed Market

Authors:

Julia Timea Nagy, Balint Zsolt Nagy, Jacint Juhasz

Published in:

 

 

(2016).ECMS 2016 Proceedings edited by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and Simulation. doi:10.7148/2016

 

 

ISBN: 978-0-9932440-2-5

 

30th European Conference on Modelling and Simulation,

Regensburg Germany, May 31st – June 3rd, 2016

 

Citation format:

Julia Timea Nagy, Balint Zsolt Nagy, Jacint Juhasz (2016). Classical And Novel Risk Measures For A Stock Index On A Developed Market, ECMS 2016 Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose  European Council for Modeling and Simulation. doi:10.7148/2016-0166

DOI:

http://dx.doi.org/10.7148/2016-0166

Abstract:

In the present article we conduct an inquiry into several different risk measures, illustrating their advantages and disadvantages, regulatory aspects and apply them on a stock index on a developed market: the DAX index. Specifically we are talking about Value at Risk (VaR), which is now considered a classical measure, its improved version, the Expected Shortfall (ES) and the very novel Entropic Value at Risk (EVaR). The applied computation methods are yielding robust results. The obtained values are put into the context of the relevant literature, and pertinent conclusions are formulated, especially regarding regulatory applications.

 

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