{"product_id":"advances-in-credit-risk-modelling-and-corporate-bankruptcy-prediction-hardback-9780521869287","title":"Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction (Hardback) 9780521869287","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAdvances in Credit Risk Modelling and Corporate Bankruptcy Prediction\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eA compendium of credit risk modelling approaches, including several new techniques that extend the horizons of future research and practice.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eStewart Jones (Edited by), David A. Hensher (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780521869287, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 25 September 2008\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e312 pages, 18 b\/w illus.  39 tables\u003cbr\u003e25.3 x 17.9 x 2.2 cm, 0.75 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'… if you wish to learn more about the nature of the financial instruments that have brought the world to its knees, then this … is a useful starting point.' The Times Higher Education Supplement\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThe field of credit risk and corporate bankruptcy prediction has gained considerable momentum following the collapse of many large corporations around the world, and more recently through the sub-prime scandal in the United States. This book provides a thorough compendium of the different modelling approaches available in the field, including several new techniques that extend the horizons of future research and practice. Topics covered include probit models (in particular bivariate probit modelling), advanced logistic regression models (in particular mixed logit, nested logit and latent class models), survival analysis models, non-parametric techniques (particularly neural networks and recursive partitioning models), structural models and reduced form (intensity) modelling. Models and techniques are illustrated with empirical examples and are accompanied by a careful explanation of model derivation issues. This practical and empirically-based approach makes the book an ideal resource for all those concerned with credit risk and corporate bankruptcy, including academics, practitioners and regulators.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eList of figures\u003cbr\u003e List of tables\u003cbr\u003e List of contributors\u003cbr\u003e Introduction Stewart Jones and David A. Hensher\u003cbr\u003e 1. A statistical model for credit scoring William H. Greene\u003cbr\u003e 2. Mixed Logit and error component models of corporate insolvency and bankruptcy risk Stewart Jones and David A. Hensher\u003cbr\u003e 3. An evaluation of open and closed form distress prediction models: the nested Logit and latent class models Stewart Jones and David A. Hensher\u003cbr\u003e 4. Survival analysis and omitted dividends Marc J. Leclere\u003cbr\u003e 5. Non-parametric methods for credit risk analysis: neural networks and recursive partitioning techniques Maurice Peat\u003cbr\u003e 6. Bankruptcy prediction and structural credit risk models Andreas Charitou, Neophytos Lambertides and Lenos Trigeorgis\u003cbr\u003e 7. Default recovery rates and LGD in credit risk modeling and practice: an updated review of the literature and empirical evidence Edward I. Altman\u003cbr\u003e 8. Credit derivatives: current practices and controversies Stewart Jones and Maurice Peat\u003cbr\u003e 9. Local government distress in Australia: a latent class regression analysis Stewart Jones and Robert G. Walker\u003cbr\u003e 10. A belief-function perspective to credit risk assessments Rajendra P. Srivastava and Stewart Jones\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Business mathematics \u0026amp; systems [\u003ca title=\"See our other books on Business mathematics \u0026amp; systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Business%20mathematics%20\u0026amp;%20systems%20%5BKJQ%5D%22\"\u003eKJQ\u003c\/a\u003e], Insurance \u0026amp; actuarial studies [\u003ca title=\"See our other books on Insurance \u0026amp; actuarial studies\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Insurance%20\u0026amp;%20actuarial%20studies%20%5BKFFN%5D%22\"\u003eKFFN\u003c\/a\u003e], Finance [\u003ca title=\"See our other books on Finance\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Finance%20%5BKFF%5D%22\"\u003eKFF\u003c\/a\u003e], Finance \u0026amp; accounting [\u003ca title=\"See our other books on Finance \u0026amp; accounting\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Finance%20\u0026amp;%20accounting%20%5BKF%5D%22\"\u003eKF\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46265297109272,"sku":"9780521869287","price":73.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780521869287i.jpg?v=1692021489","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/advances-in-credit-risk-modelling-and-corporate-bankruptcy-prediction-hardback-9780521869287","provider":"Freshly Printed Books","version":"1.0","type":"link"}