Measuring Risk utilizing Credible Monte Carlo Value at Risk and Credible Monte Carlo Expected Tail Loss

This paper proposes two new methods to measure the risk of individual stocks, which construct a portfolio, namely Credible Monte Carlo Value at Risk (CMC VaR) and Credible Monte Carlo Expected Tail Loss (CMC ETL). The CMC VaR is developed by combining the concept of Credible Value at Risk (Cr V...

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Bibliographic Details
Main Authors: Sulistianingsih, Evy, Rosadi, Dedi, Abdurakhman, Abdurakhman
Format: Other
Language:English
Published: IAENG International Journal of Applied Mathematics 2022
Subjects:
Online Access:https://repository.ugm.ac.id/284235/1/IJAM_52_1_31.pdf