Liquidity management using Cash Flow at Risk

Abstract

The article describes the methodology and practical implementation of Cash Flow at Risk (CFaR) calculation with the help of a multidimensional Monte Carlo simulation. CFar is one of the most important characteristics of liquidity. It assesses the likelihood that operating cash flows will drop below a prespecified level. In this paper is considered application for measuring CFaR under impact of different environment factors. The application is written in C# .NET.