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Monte-Carlo Simulation Method For Calculating Value at Risk(VaR) [Part 2]

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 Garv Lodha, Algo Trader

 Tuesday, June 20, 2017

In my last article, I had stated the distributional assumptions for risk factor returns and explained how to calculate the volatility and correlation parameters from historical data. Here is my follow up article on how to use simulation methods to obtain risk factor return scenarios from these distributions and much more...


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3 comments on article "Monte-Carlo Simulation Method For Calculating Value at Risk(VaR) [Part 2]"

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 Amer Husain A.C.A, Principal at HNF Business Consultants ERM/GRC, Operational, Credit, Market Risk and Internal Audit | Consultant at CLCI

 Saturday, June 24, 2017



Garv. Would like to connect with you on linked in. Could you send me an invite as unfortunately I am unable to. Thanks


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 Dr Elton Babameto, Senior Consultant

 Monday, June 26, 2017



VaR is one of the most misguided concepts out there. It tells one that it protects your assets 99% of the time (when such protection is not exactly needed) but let's you down 1% of the time. Ruinous events - by definition - take place only 1% of the time (by way of example, Lehman Brother's / LTCM / 19 October 1987, etc ...). In other words, your fire insurance policy stops working when the house is on fire


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 Garv Lodha, Algo Trader

 Wednesday, June 28, 2017



Very true Dr Elton Babameto !! But I think VaR accompanied by other risk measures like Stress Testing and Expected shortfall can give more deeper insights by about overall risk involved.

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