Ernst & Young LLP
Ke Zhang is a Manager in the Financial Services Risk Management Advisory Practice of Ernst & Young LLP based in New York. He has been doing financial service for over five years and worked in Bloomberg LP prior to EY. Ke works in financial risk management and technology industry covering financial model valuation, counterparty credit risk, financial software application development, data processing and regulatory capital models. Ke holds a Master in Financial Engineering from Cornell University and a Master in Economics from Peking University, a B.S. degree in Economics and Mathematics from Wuhan University.
This paper explores the complication of calculating the IM amount requirement when collateral comprises risky assets in a parametric VaR framework. The authors show that the required IM amount can be calculated by solving a quadratic inequality.