Описание: Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study.
Описание: The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.
Описание: Chapter 1. Introduction: Applied Operations Research and Financial Modeling in Energy (Andrй Dorsman).- Chapter 2. Optimization Methods on Electricity Generation and Transmission Expansion Planning Problem (Mahdi Noorizadegan).- Chapter 3. Demand-Driven Electricity Supply Options of Electric Vehicles: Modelling, Simulation, and Management Strategy of Public Charging Stations (Elvin Coban).- Chapter 4. A Review on Smart Energy Management Systems in Microgrids Based On Power Generating and Environmental Costs (Цzgьr İcan).- Chapter 5. Measuring Efficiency and Productivity Change in the Turkish Electricity Distribution Sector (Yetkin Cinar).- Chapter 6. Price and Volatility Forecasting in Electricity with Support Vector Regression and Random Forest (Mahmut Kara).- Chapter 7. Forecasting the Hydro Inflow and Optimization of Virtual Power Plant Pricing (Sezer Cabuk).- Chapter 8. Comparing the Renewable Energy Technologies via Forecasting Approaches (Fazıl GЦKGЦZ).- Chapter 9. Valuing Energy Real Options with Regime Shifts (Turalay Kenc).- Chapter 10. Understanding the Electricity Switching Behavior of Industrial Consumers: An Empirical Study on an Emerging Market (Murside Erdogan).- Chapter 11. Does the market value clean innovation? Evidence from US listed firms (Antoine Dechezleprкtre).- Chapter 12. The power grid: from a technical to a finance issue. Who bears the financial risk? (Andrй B. Dorsman en Kees van Montfort)
IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.
Offers a broad survey that explains which models work best for mortgage, small business, cards, commercial real estate, commercial loans and other credit products
Concentrates on specific aspects of the modelling process by focusing on lifetime estimates
Provides an hands-on approach to enable readers to perform model development, validation and audit of credit risk models
Автор: Macdonald, Angus S. (heriot-watt University, Edinburgh) Richards, Stephen J. Currie, Iain D. (heriot-watt University, Edinburgh) Название: Modelling mortality with actuarial applications ISBN: 110704541X ISBN-13(EAN): 9781107045415 Издательство: Cambridge Academ Рейтинг: Цена: 10613.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Actuaries modelling mortality have, until now, mostly used methods based on aggregate data. This book explains to practitioners how to build and test models based on the individual person, with plenty of example R code. Students will also find it helpful in preparation for their professional examinations.
Описание: The present work examines the economics and legal doctrine of private equity. After a consideration of private equity’s origins, the book will explore the evolution of private equity in the United States and Europe. The reference economic model then will be reconstructed, with particular attention to financial flows to and from private equity firms and funds. This reconstruction will be instrumental for the subsequent analysis of remunerative policies and practices of private equity firms and the illustration of recommendations to improve them, especially following the subprime mortgage crisis of 2008. The book concludes with critical points for operators, legislators, and regulatory authorities in the light of the results of the economic analysis of private equity and of comparative regulatory analysis.
Автор: Bryan Christiansen, Mirjana ?imei??ija, Tihana i??krinjari? Название: Recent Applications of Financial Risk Modelling and Portfolio Management ISBN: 1799850838 ISBN-13(EAN): 9781799850830 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 26195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents research on the use of modern data analysis as well as quantitative methods for developing successful portfolio and risk management techniques. The book explores diverse models for achieving investment goals as well as improving upon traditional financial modelling methods.
Описание: Presents research on the use of modern data analysis as well as quantitative methods for developing successful portfolio and risk management techniques. The book explores diverse models for achieving investment goals as well as improving upon traditional financial modelling methods.
Описание: The book presents lessons learnt from dynamic positioning incidents and accidents, and discusses the challenges of risk assessment of complex systems.The book begins by introducing dynamic and online risk assessment, before presenting automated and autonomous marine systems, as well as numerous dynamic positioning incidents.
Описание: This accessible guide helps readers build a useful repertoire of mathematical tools in decision making under uncertainty, especially in investment science. It uses real data and statistical procedures to show how SD theory is applied in financial situations, introduces utility theory for decision making under risk and discusses research issues.
Описание: However, this book develops a new theory of asymmetric regulatory risk that shows that infallible estimates of the cost of capital are sure to provide downward-biased estimates of the necessary allowed rates of return in the presence of such regulatory risks.
Описание: 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.
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