Credit Risk Modeling

Credit Risk Modeling

Author: David Lando

Publisher: Princeton University Press

Published: 2009-12-13

Total Pages: 328

ISBN-13: 1400829194

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Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers and students in finance, at quantitative analysts in banks and other financial institutions, and at regulators interested in the modeling aspects of credit risk. David Lando considers the two broad approaches to credit risk analysis: that based on classical option pricing models on the one hand, and on a direct modeling of the default probability of issuers on the other. He offers insights that can be drawn from each approach and demonstrates that the distinction between the two approaches is not at all clear-cut. The book strikes a fruitful balance between quickly presenting the basic ideas of the models and offering enough detail so readers can derive and implement the models themselves. The discussion of the models and their limitations and five technical appendixes help readers expand and generalize the models themselves or to understand existing generalizations. The book emphasizes models for pricing as well as statistical techniques for estimating their parameters. Applications include rating-based modeling, modeling of dependent defaults, swap- and corporate-yield curve dynamics, credit default swaps, and collateralized debt obligations.


Volatility

Volatility

Author: Robert A. Jarrow

Publisher:

Published: 1998

Total Pages: 472

ISBN-13:

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Written by a number of authors, this text is aimed at market practitioners and applies the latest stochastic volatility research findings to the analysis of stock prices. It includes commentary and analysis based on real-life situations.


Fintech with Artificial Intelligence, Big Data, and Blockchain

Fintech with Artificial Intelligence, Big Data, and Blockchain

Author: Paul Moon Sub Choi

Publisher: Springer Nature

Published: 2021-03-08

Total Pages: 306

ISBN-13: 9813361379

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This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.


Volatility and Time Series Econometrics

Volatility and Time Series Econometrics

Author: Mark Watson

Publisher: Oxford University Press

Published: 2010-02-11

Total Pages: 432

ISBN-13: 0199549494

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A volume that celebrates and develops the work of Nobel Laureate Robert Engle, it includes original contributions from some of the world's leading econometricians that further Engle's work in time series economics


Green Logistics

Green Logistics

Author: Alan McKinnon

Publisher: Kogan Page Publishers

Published: 2015-02-03

Total Pages: 448

ISBN-13: 0749471867

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Leading the way in current thinking on environmental logistics, Green Logistics provides a unique insight on the environmental impacts of logistics and the actions that companies and governments can take to deal with them. It is written by leading researchers in the field and provides a comprehensive view of the subject for students, managers and policy-makers. Fully updated, the 3rd edition of Green Logistics has a more global perspective than previous editions. It introduces new contributors and international case studies that illustrate the impact of green logistics in practice. There is a new chapter on the links between green logistics and corporate social responsibility and a series of postscripts examining the effects of new developments, such as 3D printing, distribution by drone, the physical internet and the concept of peak freight. Other key topics examined include: carbon auditing of supply chains; transferring freight to greener transport modes; reducing the environmental impact of warehousing; improving the energy efficiency of freight transport; making city logistics more environmentally sustainable; reverse logistics for the management of waste; role of government in promoting sustainable logistics. The 3rd edition of Green Logistics includes indispensable online supporting materials, including graphics, tables, chapter summaries, and guidelines for lecturers.


Business Models and ICT Technologies for the Fashion Supply Chain

Business Models and ICT Technologies for the Fashion Supply Chain

Author: Rinaldo Rinaldi

Publisher: Springer

Published: 2017-02-10

Total Pages: 300

ISBN-13: 3319485113

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This book presents high-quality original contributions on the fashion supply chain. A wide spectrum of application domains are covered, processing of big data coming from digital and social media channels, fashion new product development, fashion design, fashion marketing and communication strategy, business models and entrepreneurship, e-commerce and omni-channel management, corporate social responsibility, new materials for fashion product, wearable technologies. The contents are based on presentations delivered at IT4Fashion 2016, the 6th International Conference in Business Models and ICT Technologies for the Fashion Supply Chain, which was held in Florence, Italy, in April 2016. This conference series represents a targeted response to the growing need for research that reports and debates supply chain business models and technologies applied to the fashion industry, with the aim of increasing knowledge in the area of product lifecycle management and supply chain management in that industry.


Computational Methods and Data Engineering

Computational Methods and Data Engineering

Author: Vijendra Singh

Publisher: Springer Nature

Published: 2020-08-19

Total Pages: 625

ISBN-13: 9811568766

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This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering (ICMDE 2020), held at SRM University, Sonipat, Delhi-NCR, India. Focusing on cutting-edge technologies and the most dynamic areas of computational intelligence and data engineering, the respective contributions address topics including collective intelligence, intelligent transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.


Information and Software Technologies

Information and Software Technologies

Author: Robertas Damaševičius

Publisher: Springer

Published: 2018-08-28

Total Pages: 607

ISBN-13: 3319999729

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This book constitutes the refereed proceedings of the 24th International Conference on Information and Software Technologies, ICIST 2018, held in Vilnius, Lithuania, in October 2018. The 48 papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on information systems; business intelligence for information and software systems; software engineering; and information technology applications.


The Credit Market Handbook

The Credit Market Handbook

Author: H. Gifford Fong

Publisher: John Wiley & Sons

Published: 2006-02-02

Total Pages: 254

ISBN-13: 0471787191

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In The Credit Market Handbook, financial expert and Editor H. Gifford Fong has assembled a group of prominent professionals and academics familiar with the credit arena. In each chapter, a different expert analyzes a different issue related to today's dynamic credit market, including portfolio credit risk, valuation models, and the importance of modeling credit default. In bringing together these noted authors and their work, Fong provides you with a rich framework of research in the area of credit analysis. Some of the topics discussed within this comprehensive guide include: * Estimating default probabilities implicit in equity prices * Structural versus reduced form models: a new information-based perspective * Valuing high-yield bonds * Predictions of default probabilities in structural models of debt * And much more Filled with in-depth insight and expert advice, this invaluable resource offers you the critical information you need to succeed within today's credit market.