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Value at risk: Evidence from Pakistan Stock Exchange
Author(s) -
Faisal Nawaz,
Muhammad Afzal
Publication year - 2011
Publication title -
african journal of business management
Language(s) - English
Resource type - Journals
ISSN - 1993-8233
DOI - 10.5897/ajbm11.320
Subject(s) - margin (machine learning) , value at risk , stock exchange , real estate , financial market , economics , financial crisis , financial economics , risk management , finance , macroeconomics , computer science , machine learning
The impetus of this work comes from the October 2008 crisis, termed Tsunami of the Financial Markets, which stems from a small problem in US real estate market. It has been observed that this type of events occurs once in a century. To the Green Span, ex-chief of the US Fed, the financial models that have been trusted in the past rendered absurd in the wake of this snowball effect. The study tries to find how the margin calculated on VaR influence the Trade Volume of Pakistani bourse. Pro method was considered to be accurate one than other two models at λ = 0.85, for five hundred days at 99% confidence interval. The study shows that in the case of Slab System, the initial margin charged by the clients fell between 5 and 25%. It has been observed that the cap of margins under VaR system was about 5%. The VaR based margin system has proved to be better than slab system on the empirical as well theoretical grounds.

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