This book, based on the author's Clarendon Lectures in Finance, examines the empirical behaviour of corporate default risk. A new and unified statistical methodology for default prediction, based on stochastic intensity modeling, is explained and implemented with data on U.S. public corporations since 1980. Special attention is given to the measurement of correlation of default risk across firms. The underlying work was developed in a series of collaborations over roughly the past decade with Sanjiv Das, Andreas Eckner, Guillaume Horel, Nikunj Kapadia, Leandro Saita, and Ke Wang. Where possible, the content based on methodology has been separated from the substantive empirical findings, in order to provide access to the latter for those less focused on the mathematical foundations.
A key finding is that corporate defaults are more clustered in time than would be suggested by their exposure to observable common or correlated risk factors. The methodology allows for hidden sources of default correlation, which are particularly important to include when estimating the likelihood that a portfolio of corporate loans will suffer large default losses. The data also reveal that a substantial amount of power for predicting the default of a corporation can be obtained from the firm's "distance to default," a volatility-adjusted measure of leverage that is the basis of the theoretical models of corporate debt pricing of Black, Scholes, and Merton. The findings are particularly relevant in the aftermath of the financial crisis, which revealed a lack of attention to the proper modelling of correlation of default risk across firms.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Darrell Duffie is the The Adams Distinguished Professor of Management and Professor of Finance at Stanford Graduate School of Business and has been writing about financial markets since 1984. He is a fellow and member of the Council of the Econometric Society, a research fellow of the National Bureau of Economic Research, and a fellow of the American Academy of Arts and Sciences. Duffie was the 2009 president of the American Finance Association. In 2014, he chaired the Market Participants Group, charged by the Financial Stability Board with recommending reforms to Libor, Euribor, and other interest rate benchmarks. Duffie's recent books include How Big Banks Fail (Princeton University Press, 2010), Measuring Corporate Default Risk (Oxford University Press, 2011), and Dark Markets (Princeton University Press, 2012).
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 17,58 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiEUR 1,97 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiDa: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FU-9780199279241
Quantità: 15 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FU-9780199279241
Quantità: 15 disponibili
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 185. Codice articolo B9780199279241
Quantità: Più di 20 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 128 pages. 9.13x6.14x0.35 inches. In Stock. Codice articolo __0199279241
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 44560685-n
Quantità: Più di 20 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 44560685
Quantità: Più di 20 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 128 pages. 9.13x6.14x0.35 inches. In Stock. Codice articolo x-0199279241
Quantità: 2 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Neuware - Based on the author's Clarendon Lectures in Finance, this book develops and implements statistical methods for modelling corporate credit risk. Codice articolo 9780199279241
Quantità: 2 disponibili
Da: INDOO, Avenel, NJ, U.S.A.
Condizione: New. Codice articolo 9780199279241
Quantità: 20 disponibili
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condizione: new. Paperback. This book, based on the author's Clarendon Lectures in Finance, examines the empirical behaviour of corporate default risk. A new and unified statistical methodology for default prediction, based on stochastic intensity modeling, is explained and implemented with data on U.S. public corporations since 1980. Special attention is given to the measurement of correlation of default risk across firms. The underlying work was developed in a series of collaborations over roughly the past decade with Sanjiv Das, Andreas Eckner, Guillaume Horel, Nikunj Kapadia, Leandro Saita, and Ke Wang. Where possible, the content based on methodology has been separated from the substantive empirical findings, in order to provide access to the latter for those less focused on the mathematical foundations.A key finding is that corporate defaults are more clustered in time than would be suggested by their exposure to observable common or correlated risk factors. The methodology allows for hidden sources of default correlation, which are particularly important to include when estimating the likelihood that a portfolio of corporate loans will suffer large default losses. The data also reveal that a substantial amount of power for predicting the default of a corporation can be obtained from the firm's "distance to default," a volatility-adjusted measure of leverage that is the basis of the theoretical models of corporate debt pricing of Black, Scholes, and Merton. The findings are particularly relevant in the aftermath of the financial crisis, which revealed a lack of attention to the proper modelling of correlation of default risk across firms. Based on the author's Clarendon Lectures in Finance, this book develops and implements statistical methods for modelling corporate credit risk. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780199279241
Quantità: 1 disponibili