The objective of the paper is to explore the use of advanced extreme value theory for updating the design wind speed estimates specified in the Canadian building design code.
The original material--covering Markov chain Monte Carlo methods, derivative pricing using jump diffusion with closed-form formulas, value at risk calculation using extreme value theory base on a nonhomogeneous two-dimensional Poisson process, and multivariate volatility models with time-varying correlations--has been expanded to include discussion consistent covariance estimation under heteroscedasticity and serial correlation, alterative approaches to volatility modeling, financial factor models, stat-space models, Kalman filtering, and estimation of stochastic diffusion models.
ABSTRACT The purpose of this paper is to use the extreme value theory to analyze ten Asian stock markets, identifying which type of extreme value asymptotic distribution better fits historical extreme market events.
In this course, you will explore: --the basic VAR concept and the statistical theory behind it --the variance-covariance, Monte Carlo and historical simulation approaches to calculating VAR --Basel Committee standards for the use of VAR models to calculate market risk capital requirements --the concepts of backtesting, stress testing and extreme value theory in risk measurement This course is designed for: --senior managers --new recruits to banking and financial organizations --all risk management staff --treasury department staff --finance personnel --IT staff --compliance and regulatory staff The following tutorials are included in this E-Learning course: 1.
Varikooty, John Liu, and Harry Huang The Best of Both Worlds Jacob Boudoukh, Mathew Richardson, and Robert Whitelaw Expect the Worst Jacob Boudoukh, Mathew Richardson, and Robert Whitelaw Extreme Value Theory for Risk Managers Alexander J.
The first core reference on the latest developments in extreme value theory and its application in the finance and insurance industry - Provides a comprehensive overview of extreme value theory from a financial perspective - Expert academics examine the recent developments in the modelling of extremal events - Offers an extension of traditional VAR methodologies and provides analysis of abnormal distribution at the end of the curve - Examines the patterns and likelihood of the occurrence of extreme events - Contributions selected and introduced by the leading academic in the field, Paul Embrechts of Federal Institute of Technology (ETH), Zurich Report Contents: Introduction BASIC EXTREME VALUE THEORY 1 Extreme Value Theory for Risk Managers Alexander J.
Topics covered include: - default probabilities - expected and unexpected losses - time effects - default correlations - loss distributions Report Contents: - On Basle, Regulation and Market Responses Past and Present - Overview of Approach - Modelling Credit Risk - Loan Portfolios and Expected Loss - Unexpected Loss - Portfolio Effects: Risk Contribution and Unexpected Losses - Correlation of Default and Credit Quality - Loss Distribution for Credit Default Risk - Monte Carlo Simulation of Loss Distribution - Extreme Value Theory - Risk-Adjusted Performance Measurement - Implementing the Internal Model Across the Enterprise - Credit Concentration and Required Spread - Epilogue: The Next Steps For more information visit http://www.
Unlike competitive packages, S+FinMetrics offers all of the essential analytics, from rolling regression and backtesting functions, to extreme value theory and time series analysis, in one environment.
