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Business/Investing Business Analysis Techniques: 72 Essential Tools for Success
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Business/Investing Conferences and Conventions, Second Edition: A global industry (Events Management) (repost)
Business/Investing Management, 6th Edition
Business/Investing Mobile Service Innovation and Business Models (Repost)
Business/Investing Reconfiguring Knowledge Production: Changing Authority Relationships in the Sciences and their Consequences
Business/Investing Accepted! 50 Successful College Admission Essays, 3 Edition (Repost)
Business/Investing Current Issues in Islamic Banking and Finance: Resilience and Stability in the Present System
Business/Investing Power of An Hour (Repost)
Business/Investing Boards That Deliver (Repost)
Business/Investing Jrgen R. Grote, Achim Lang, Volker Schneider - Organized Business Interests in Changing Environments
Business/Investing Green Business - das Milliardengeschäft: Nach den Dot-coms kommen jetzt die Dot-greens (repost)
Business/Investing Forex Shockwave Analysis (repost)
Business/Investing IPO and Equity Offerings (Securities Institute Global Capital Markets) (Repost)
Business/Investing Careers for Self-Starters & Other Entrepreneurial Types
Business/Investing David Mercer "Building Online Stores with osCommerce: Professional Edition" (repost)
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Business/Investing Economic Development, 4th Edition (Repost)
Business/Investing Positioning: The Battle for Your Mind, 20th Anniversary Edition
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Business/Investing Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction
Posted on 2010-03-15
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More Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction The 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. Mirror on RapidShare => http://rapidshare.com/files/169975289/sa5.zip
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