Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The main theme of this volume is credit risk and credit derivatives. Recent developments in financial markets show that appropriate modeling and quantification of credit risk is fundamental in the context of modern complex structured financial products. The reader will find several points of view on credit risk when looked at from the perspective of Econometrics and Financial Mathematics. The volume consists of eleven contributions by both practitioners and theoreticians with expertise in financial markets, in general, and econometrics and mathematical finance in particular. The challenge of modeling defaults and their correlations is addressed, and new results on copula, reduced form and structural models, and the top-down approach are presented. After the so-called subprime crisis that hit global markets in the summer of 2007, the volume is very timely and will be useful to researchers in the area of credit risk.

Credit -- Mathematical models. --- Credit derivatives -- Mathematical models. --- Risk management -- Mathematical models. --- Credit derivatives --- Credit --- Econometrics --- Risk management --- Insurance --- Management --- Borrowing --- Finance --- Money --- Loans --- Derivative securities --- Mathematical models --- Quantitative methods (economics) --- International financial management --- Business & Economics --- Econometrics. --- Forecasting. --- Economics, Mathematical --- Statistics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The estimation and the validation of the Basel II risk parameters PD (default probability), LGD (loss given fault), and EAD (exposure at default) is an important problem in banking practice. These parameters are used on the one hand as inputs to credit portfolio models and in loan pricing frameworks, on the other to compute regulatory capital according to the new Basel rules. This book covers the state-of-the-art in designing and validating rating systems and default probability estimations. Furthermore, it presents techniques to estimate LGD and EAD and includes a chapter on stress testing of the Basel II risk parameters. The second edition is extended by three chapters explaining how the Basel II risk parameters can be used for building a framework for risk-adjusted pricing and risk management of loans.

Credit -- Mathematical models. --- Credit ratings -- Mathematical models. --- Risk -- Mathematical models. --- Finance --- Business & Economics --- Investment & Speculation --- Banking --- Finance - General --- Credit --- Risk --- Credit ratings --- Mathematical models. --- Commercial ratings --- Credit checks --- Credit guides --- Credit investigations --- Credit reports --- Ratings, Credit --- Finance. --- Management. --- Economics, Mathematical. --- Econometrics. --- Finance, general. --- Quantitative Finance. --- Economics, Mathematical --- Statistics --- Administration --- Industrial relations --- Organization --- Funding --- Funds --- Economics --- Currency question --- Economics, Mathematical . --- Mathematical economics --- Econometrics --- Mathematics --- Methodology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book provides an accessible collection of techniques for analyzing nonparametric and semiparametric regression models. Worked examples include estimation of Engel curves and equivalence scales, scale economies, semiparametric Cobb-Douglas, translog and CES cost functions, household gasoline consumption, hedonic housing prices, option prices and state price density estimation. The book should be of interest to a broad range of economists including those working in industrial organization, labor, development, urban, energy and financial economics. A variety of testing procedures are covered including simple goodness of fit tests and residual regression tests. These procedures can be used to test hypotheses such as parametric and semiparametric specifications, significance, monotonicity and additive separability. Other topics include endogeneity of parametric and nonparametric effects, as well as heteroskedasticity and autocorrelation in the residuals. Bootstrap procedures are provided.

Econometrics --- Regression Analysis --- AA / International- internationaal --- 305.971 --- 303.5 --- Speciale gevallen in econometrische modelbouw. --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek). --- 330.115 --- Regression analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Economics, Mathematical --- Statistics --- Econometrie --- Credit -- Mathematical models. --- Econometrics. --- Regression analysis. --- Risk management -- Mathematical models. --- Business & Economics --- Economic Theory --- 330.115 Econometrie --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Speciale gevallen in econometrische modelbouw --- Business, Economy and Management --- Economics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Mathematical finance and financial engineering have been rapidly expanding fields of science over the past three decades. The main reason behind this phenomenon has been the success of sophisticated quantitative methodologies in helping professionals to manage financial risks. The newly developed credit derivatives industry has grown around the need to handle credit risk, which is one of the fundamental factors of financial risk. In recent years, we have witnessed a tremendous acceleration in research efforts aimed at better apprehending, modeling and hedging of this kind of risk. One of the objectives has been to understand links between credit risk and other major sources of uncertainty, such as the market risk or the liquidity risk. The main objective of this monograph is to present a comprehensive survey ofthe past developments in the area of credit risk research, as well as put forth the most recent advancements in this field. An important aspect of this text is that it attempts to bridge the gap between the mathematical theory of credit risk and the financial practice, which serves as the motivation for the mathematical modeling studied in the book. Mahtematical developments are presented in a thorough manner and cover the structural (value-of-the-firm) and the reduced-form (intensity-based) approaches to credit risk modeling, applied both to single and to multiple defaults. In particular, the book offers a detailed study of various arbitrage-free models of defaultable term structures with several rating grades. This book will serve as a valuable reference for financial analysts and traders involved with credit derivatives. Some aspects of the book may also be useful for market practitioners with managing credit-risk sensitives portfolios. Graduate students and researchers in areas such as finance theory, mathematical finance, financial engineering and probability theory will benefit from the book as well. On the technical side, readers are assumed to be familiar with graduate level probability theory, theory of stochastic processes, and elements of stochastic analysis and PDEs; some acquaintance with arbitrage pricing theory is also.

AA / International- internationaal --- 333.130.2 --- 305.7 --- 333.605 --- 333.70 --- 333.109 --- Bankliquiditeit. Verplichte reserves. Solvabiliteit. --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente. --- Nieuwe financiële instrumenten. --- Theorie en organisatie van het bankkrediet. --- Veiligheid. Bankovervallen. Bankrisico's. --- -Risk management --- Risk management --- Credit --- Mathematical models --- Mathematical models. --- Crédit --- Gestion du risque --- Modèles mathématiques --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente --- Veiligheid. Bankovervallen. Bankrisico's --- Bankliquiditeit. Verplichte reserves. Solvabiliteit --- Nieuwe financiële instrumenten --- Theorie en organisatie van het bankkrediet --- Public finance. --- Economics, Mathematical . --- Probabilities. --- Public Economics. --- Quantitative Finance. --- Probability Theory and Stochastic Processes. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Economics --- Mathematical economics --- Econometrics --- Cameralistics --- Public finance --- Public finances --- Currency question --- Methodology --- Risk management - Mathematical models --- Credit - Mathematical models