Developing Validating and Using Internal Ratings

Author: Giacomo De Laurentis
Publisher: John Wiley & Sons
ISBN: 1119957648
Format: PDF, ePub
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This book provides a thorough analysis of internal rating systems. Two case studies are devoted to building and validating statistical-based models for borrowers’ ratings, using SPSS-PASW and SAS statistical packages. Mainstream approaches to building and validating models for assigning counterpart ratings to small and medium enterprises are discussed, together with their implications on lending strategy. Key Features: • Presents an accessible framework for bank managers, students and quantitative analysts, combining strategic issues, management needs, regulatory requirements and statistical bases. • Discusses available methodologies to build, validate and use internal rate models. • Demonstrates how to use statistical packages for building statistical-based credit rating systems. • Evaluates sources of model risks and strategic risks when using statistical-based rating systems in lending. This book will prove to be of great value to bank managers, credit and loan officers, quantitative analysts and advanced students on credit risk management courses.

Risk Culture in Banking

Author: Alessandro Carretta
Publisher: Springer
ISBN: 3319575929
Format: PDF, Docs
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This book explores risk culture in banks following the financial crisis. It analyses the role of national and institutional risk culture, market competitiveness, organisational systems and institutional practices that led to a weakening of risk culture in financial institutions leading up to the financial crisis. It addresses how to assess and measure risk culture, and analyse the impact on performance and reputation. Finally it explores the impact of regulation and a variety of tools that can be applied from the board down to promote a healthy risk culture in the governance of financial institutions internal controls and risk culture in banks.

Credit Rating and Bank Firm Relationships

Author: Michele Modina
Publisher: Springer
ISBN: 1137496223
Format: PDF, Mobi
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This book explores the role of the rating system in creditworthiness assessment, looking into its current status, strengths and weaknesses and possible evolution in the light of Basel 3 and the Global Economic Crisis.

Risk Value and Default

Author: Oliviero Roggi
Publisher: World Scientific
ISBN: 9814641731
Format: PDF, ePub
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Scholars and practitioners have known for a long time that risk plays an important, indeed central, role in determining the appropriate discount rate to be used in a sophisticated valuation model. In today's world, however, the very risk of survival, especially for financial institutions, is essential to the health of the world's capital markets and their impact on the global economy. Risk, Value and Default is a vital text for understanding the interaction between enterprise risk management with corporate valuation and corporate default. The book seeks to explore the interaction between the risk of default and enterprise risk, and their joint impact on firm valuation. It aims to address the problem of how corporations should deal with risk and how they can maximize shareholder value. It also examines various conceptual ways to measure risk, thereby bridging the gap between theoretical concepts and pragmatic application. The book combines sound conceptual analytics and empirical tools to provide useful information and tangible guidelines for firms, risk managers and financial analysts and advisors. Scholars and professionals with an interest in risk management, and managers, owners, creditors and potential investors in enterprises will find Risk, Value and Default a particularly useful guide to understanding the relationship between risk generation, risk management and corporate value and default from an interdisciplinary perspective. Contents:The Concept of Risk and the Enterprise Risk Management:The Corporate RiskRisk Management: Analysis of Risk, Endowment Capital, and Suppliers of FinanceEstimating Default Risk in Practice: Methodologies and Discriminant Variables:Credit Risk, Default, and Borrowing CostsCompany Default and Discriminant Variables for SMEDefault Risk and Discriminant Methodologies for SME Readership: Scholars and practitioners with an interest in risk governance, valuation and risk management within the context of the risk management and governance, corporate finance, banking, econometrics, mathematical economics and quantitative finance. Key Features:Explores the interaction between the risk of default and enterprise risk, and their joint impact on firm valuationAddresses the problem of how corporations should deal with risk and how they can maximize shareholder valueCombines sound conceptual analytics and regional firm data to provide useful information and tangible guidelines for firms as well as for analystsKeywords:Risk Management;Enterprise Risk Management;Credit Risk;Valuation;Equity Risk Premium;Basel III;Default Risk;Capital Requirements

Managing Energy Risk

Author: Markus Burger
Publisher: John Wiley & Sons
ISBN: 1118618580
Format: PDF, ePub, Docs
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An overview of today's energy markets from a multi-commodity perspective As global warming takes center stage in the public and private sectors, new debates on the future of energy markets and electricity generation have emerged around the world. The Second Edition of Managing Energy Risk has been updated to reflect the latest products, approaches, and energy market evolution. A full 30% of the content accounts for changes that have occurred since the publication of the first edition. Practitioners will appreciate this contemporary approach to energy and the comprehensive information on recent market influences. A new chapter is devoted to the growing importance of renewable energy sources, related subsidy schemes and their impact on energy markets. Carbon emissions certificates, post-Fukushima market shifts, and improvements in renewable energy generation are all included. Further, due to the unprecedented growth in shale gas production in recent years, a significant amount of material on gas markets has been added in this edition. Managing Energy Risk is now a complete guide to both gas and electricity markets, and gas-specific models like gas storage and swing contracts are given their due. The unique, practical approach to energy trading includes a comprehensive explanation of the interactions and relations between all energy commodities. Thoroughly revised to reflect recent changes in renewable energy, impacts of the financial crisis, and market fluctuations in the wake of Fukushima Emphasizes both electricity and gas, with all-new gas valuation models and a thorough description of the gas market Written by a team of authors with theoretical and practical expertise, blending mathematical finance and technical optimization Covers developments in the European Union Emissions Trading Scheme, as well as coal, oil, natural gas, and renewables The latest developments in gas and power markets have demonstrated the growing importance of energy risk management for utility companies and energy intensive industry. By combining energy economics models and financial engineering, Managing Energy Risk delivers a balanced perspective that captures the nuances in the exciting world of energy.

Option Pricing and Estimation of Financial Models with R

Author: Stefano M. Iacus
Publisher: John Wiley & Sons
ISBN: 9781119990208
Format: PDF, ePub, Mobi
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Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.

Case Study Research in Software Engineering

Author: Per Runeson
Publisher: John Wiley & Sons
ISBN: 111818100X
Format: PDF
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Based on their own experiences of in-depth case studies of software projects in international corporations, in this book the authors present detailed practical guidelines on the preparation, conduct, design and reporting of case studies of software engineering. This is the first software engineering specific book on the case study research method.

Credit Risk Analytics

Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119143985
Format: PDF, Kindle
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The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.

Clinical Prediction Models

Author: Ewout W. Steyerberg
Publisher: Springer Science & Business Media
ISBN: 9780387772448
Format: PDF, ePub
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Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors of outcome, e.g. from genetics. Also, the number of applications will increase, e.g. with targeted early detection of disease, and individualized approaches to diagnostic testing and treatment. The current era of evidence-based medicine asks for an individualized approach to medical decision-making. Evidence-based medicine has a central place for meta-analysis to summarize results from randomized controlled trials; similarly prediction models may summarize the effects of predictors to provide individu- ized predictions of a diagnostic or prognostic outcome. Why Read This Book? My motivation for working on this book stems primarily from the fact that the development and applications of prediction models are often suboptimal in medical publications. With this book I hope to contribute to better understanding of relevant issues and give practical advice on better modelling strategies than are nowadays widely used. Issues include: (a) Better predictive modelling is sometimes easily possible; e.g. a large data set with high quality data is available, but all continuous predictors are dich- omized, which is known to have several disadvantages.

Beach Management Tools Concepts Methodologies and Case Studies

Author: Camilo M. Botero
Publisher: Springer
ISBN: 3319583042
Format: PDF, Kindle
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This book provides an overview of beach management tools, including carrying capacity, beach nourishment, environmental and tourism awards (like Blue Flag or others), bathing water quality, zoning, beach typologies, quality index, user's perception, interdisciplinary beach monitoring, coastal legislation, shore protection, social and economic indicators, ecosystem services, and coastal governance (applied in beach case studies). Beaches are one of the most intensely used coastal ecosystems and are responsible for more than half of all global tourism revenues, and as such the book introduces a wide range of state-of-the-art tools that can be used to deal with a variety of beach challenges. Each chapter features specific types of tools that can be applied to advantage in beach management practices. With examples of local and regional case studies from around the globe, this is a valuable resource for anyone involved in beach management.