Var:An Alternate Measure of Risk

Authors

  • Gunjan Kumar   School of Management, G D Goenka University, Sohna Road, Gurgaon, Pin- 122103
  • Satyendra P. Singh   School of Management, G D Goenka University, Sohna Road, Gurgaon, Pin- 122103

Keywords:

Value-at-Risk, Historical Simulation, Delta-Normal Method, Parametric VaR, Non-Parametric VaR, Correlation, Monte Carlo Analysis.

Abstract

Value at risk is a statistical technique used to measure and quantify the level of financial risk within a firm or investment portfolio over a specific time frame. Value-a-Risk is an important and one of the most popular probability-based risk management tools for measuring and controlling market risks. In Industrial and financial sectors, this is considered as the important concept of risk measurement. The results produced by a VaR model are simple for all levels of staff from all areas of an organization to understand and at the same time they are quite reliable as well. Value at Risk has become such a popular tool within a short span of time and probably that is the biggest reason it has been adopted widely. This research paper is an attempt to discuss the concept of Value at Risk and the rationality behind using it. The researchers have also tried to explain important types of VaR.

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Published

2016-12-01

How to Cite

Kumar, G., & Singh, S. P. (2016). Var:An Alternate Measure of Risk. Journal of Applied Management- Jidnyasa, 8(2), 1–8. Retrieved from https://simsjam.net/index.php/Jidnyasa/article/view/121026