Object

Title: Monte Carlo simulation approach to calculate Value at Risk: application to WIG20 and mWIG40

Title in english:

Metoda symulacji Monte Carlo w obliczaniu wartości zagrożonej ryzykiem (VaR): zastosowanie dla WIG20 i mWIG40

Creator:

Pasieczna, Aleksandra Helena

Description:

Financial Sciences = Nauki o Finansach, 2019, vol. 24, no. 2, s. 61-75

Abstrakt:

This paper reports our estimates of the Value at Risk using Monte Carlo simulations for which we developed a computer program. Our approach involves obtaining Monte Carlo parameters by fitting real historical data of different periods to probability distributions. We applied the algorithm to the WIG20 and mWIG40 stock indices, and performed simulations for the Value at Risk at 95% and 99% confidence intervals over six estimation periods ranging from 1 trading day to 250 trading days. This approach was evaluated using the percentage failures and the Kupiec Proportion of Failures test. Our results indicate that this method is highly influenced by the choice of past historical and estimation period lengths considered. Overall, we observed that the Monte Carlo computational scheme is a reliable method for quantifying VaR when parametrized well

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Place of publication:

Wrocław

Date:

2019

Resource Type:

artykuł

Resource Identifier:

doi:10.15611/fins.2019.2.05 ; oai:dbc.wroc.pl:70304

Language:

eng

Relation:

Financial Sciences = Nauki o Finansach, 2019, vol. 24, no. 2

Access Rights:

Dla wszystkich zgodnie z licencją

License:

CC BY-NC-ND 3.0 PL

Location:

Uniwersytet Ekonomiczny we Wrocławiu

Group publication title:

Nauki o Finansach = Financial Sciences

Object collections:

Last modified:

Jun 27, 2019

In our library since:

Jun 15, 2019

Number of object content hits:

14

All available object's versions:

https://dbc.wroc.pl/publication/134849

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