GLOBAL FINANCE LIQUIDITY RISK REVISITED: JP Morgan Alternative Assets Portfolio Liquidity Assessment Framework & Models … Guided Teams of Quants, Portfolio Managers and Managing Directors: Built Liquidity Risk Modeling System for Deployment by the … all liquidity risk models, methods, and measures.Led project management & scheduling and delivering high quality results …

intraday random variables. We discuss sufficient conditions for a dependent bootstrap to consistently and non …) Estimating daily variance, and 2) Estimating Value-at-Risk (VaR). Of particular import: the VaR estimator is combined with the …

how many periods should be available for assessing credit risk taking account of estimation uncertainty if bootstrapping … available for similar results. -- confidence region ; credit portfolio risk ; estimation uncertainty ; bootstrapping …For credit risk assessment, probability of default and correlation have to be estimated simultaneously. However, these …

clear that estimation uncertainty does indeed have an effect on interest rates. -- Credit portfolio risk ; estimation …This article seeks to make an assessment of estimation uncertainty in a multi-rating class loan portfolio …. Relationships are established between estimation uncertainty and parameters such as probability of default, intra- and inter …

-horizon returns and the negligible impacts of estimation errors on the expected returns. This study uses the innovative simulation … return distribution has the slowest rate of convergence to normality among groups of assets. Estimation errors of the … imprecisions persist over the investment horizons, the estimation errors of the monthly return have a strong effect on the …

We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high … lower cost in capital reserves. In ES estimation the hybrid model yields the smallest error statistics surpassing even the … EV models, especially in the developed markets. -- value at risk ; expected shortfall ; hybrid historical simulation …

bootstrap to achieve valid inference in a time series setting. The test statistics and the estimators are computed using linear …

An intensive and still growing body of research focuses on estimating a portfolio’s Value-at-Risk.Depending on both the … orhistorical and Monte Carlo simulation methods. Although these approaches to overall VaR estimation have receivedsubstantial … proposed estimation approach pairs intuitiveappeal with computational efficiency. We evaluate various alternative estimation …