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Asset liability management for financial institutions : balancing financial stability with strategic objectives
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ISBN: 1849300585 1472920414 9781849300582 9781472920416 9781849300582 9781849300414 9781472924605 1849300410 9781849300414 1472924606 9781472924605 Year: 2012 Publisher: London Bloomsbury Information

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"Effective asset-liability management (ALM) of a financial institution requires making informed strategic and operational decisions. Ever more important in the wake of the corporate bailouts and collapses of the financial crisis, ALM encompasses the formulation, implementation, monitoring, and revision of strategies, often on a daily basis due to the fast-moving nature of the related risks and constraints."--Bloomsbury Publishing Effective asset-liability management (ALM) of a financial institution requires making informed strategic and operational decisions. Ever more important in the wake of the corporate bailouts and collapses of the financial crisis, ALM encompasses the formulation, implementation, monitoring, and revision of strategies, often on a daily basis due to the fast-moving nature of the related risks and constraints. This approachable book features up-to-date practitioner and academic perspectives to provide you with the knowledge you need. Key foundation information is backed up by the latest research and thought leadership to form a comprehensive guide to ALM for today and into the future, with case studies and worked examples. Detailed coverage includes: * Successful risk management frameworks * Coherent stress-testing * Modeling market risk * Derivatives and ALM * Contingency funding to manage liquidity risks * Basel III capital adequacy standard * Investment management for insurers * Property and casualty portfolio management * Funds transfer pricing * Problem loan modeling


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Banques et marchés du crédit
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ISSN: 09823344 ISBN: 2130483143 9782130483144 Year: 1997 Publisher: Paris Presses Universitaires de France

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Cet ouvrage de théorie financière est consacré à l'analyse du marché du crédit intermédié. La problématique étudiée est triple : elle consiste d'abord à légitimer la structure bancaire dans une sphère financière où les marchés semblent occuper une place prépondérante, puis à analyser le fonctionnement du marché du crédit bancaire, enfin à étudier les risques bancaires.


Book
Credit risk management
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ISBN: 0750659033 9786611003166 1281003166 0080472400 9780705659031 9780750659031 9780080472409 Year: 2004 Publisher: Oxford Elsevier

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Credit Risk Management will enable general bankers, staff, and credit analyst trainees to understand the basic information and principles underlying credit risk evaluation, and to use those underlying principles to undertake an analysis of non financial and financial risks when preparing a credit proposal. Since the best loans are the ones that do not present problems during the repayment phase, the authors also focus on elements relating to the proactive management of those loans during their inception.This book introduces:*Credit analysis, approval and management proce

Advances in credit risk modelling and corporate bankruptcy prediction
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ISBN: 9780511754197 9780521869287 9780521689540 9780511429897 0511429894 9780511426827 0511426828 0511429517 9780511429514 0511428391 9780511428395 0521869285 0521689546 0511754191 1107197449 1281791415 9786611791414 0511427719 051142910X Year: 2008 Publisher: Cambridge, UK New York Cambridge University Press

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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.

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