Author: Gianluca Fusai
Publisher: Springer Science & Business Media
ISBN: 3540499598
Category : Business & Economics
Languages : en
Pages : 606
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Book Description
This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a toolkit in numerical methods for finance. The second part proposes twenty self-contained cases covering model simulation, asset pricing and hedging, risk management, statistical estimation and model calibration. Each case develops a detailed solution to a concrete problem arising in applied financial management and guides the user towards a computer implementation. The appendices contain "crash courses" in VBA and Matlab programming languages.
Author: Donald R. Van Deventer
Publisher: John Wiley & Sons
ISBN: 1118177320
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
An in-depth look at financial risk management Advanced Financial Risk Management integrates interest rate risk, credit risk, foreign exchange risk, and capital allocation using a consistent risk management approach. It explains, in detailed, yet understandable terms, the analytics of these issues from A to Z. Written by experienced risk managers, this book bridges the gap between the idealized assumptions used for valuation and the realities that must be reflected in management actions. It covers everything from the basics of present value, forward rates, and interest rate compounding to the wide variety of alternative term structure models. Donald R. Van Deventer (Hawaii) founded the Kamakura Corporation in April 1990 and is currently President. In 2003, he was voted into the Risk Hall of Fame for having made a profound contribution to the field of risk management. Kenji Imai (Hawaii) heads Software Development for Kamakura and participates in selected Japan-related financial advisory assignments. Mark Mesler (Hawaii) heads the information production for Kamakura Risk Information Services.
Author: Cheng-Few Lee
Publisher: Springer
ISBN: 1493994298
Category : Business & Economics
Languages : en
Pages : 657
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Book Description
This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments. Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.
Author: Cheng-Few Lee
Publisher: Emerald Group Publishing
ISBN: 178743463X
Category : Business & Economics
Languages : en
Pages : 223
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Book Description
Advances in Pacific Basin Business, Economics, and Finance is an annual publication designed to focus on interdisciplinary research in finance, economics, and management. It particularly emphasizes the economic, financial, and management relationships among Pacific Rim countries.
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 628
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Book Description
Author: Zhen Rong Yang
Publisher: Springer Science & Business Media
ISBN: 3540228810
Category : Computers
Languages : en
Pages : 868
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Book Description
This book constitutes the refereed proceedings of the 5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004, held in Exeter, UK, in August 2004. The 124 revised full papers presented were carefully reviewed and selected from 272 submissions. The papers are organized in topical sections on bioinformatics, data mining and knowledge engineering, learning algorithms and systems, financial engineering, and agent technologies.
Author: Georges Dionne
Publisher: John Wiley & Sons
ISBN: 1119583128
Category : Business & Economics
Languages : en
Pages : 416
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Book Description
An updated review of the theories and applications of corporate risk management After the financial crisis of 2008, issues concerning corporate risk management arose that demand new levels of oversight. Corporate Risk Management is an important guide to the topic that puts the focus on the corporate finance dimension of risk management. The author—a noted expert on the topic—presents several theoretical models appropriate for various industries and empirically verifies theoretical propositions. The book also proposes statistical modeling that can evaluate the importance of different risks and their variations according to economic cycles. The book provides an analysis of default, liquidity, and operational risks as well as the failures of LTCM, ENRON, and financial institutions that occurred during the financial crisis. The author also explores Conditional Value at Risk (CVaR), which is central to the debate on the measurement of market risk under Basel III. This important book: Includes a comprehensive review of the aspects of corporate risk management Presents statistical modeling that addresses recent risk management issues Contains an analysis of risk management failures that lead to the 2008 financial crisis Offers a must-have resource from author Georges Dionne the former editor of The Journal of Risk and Insurance Corporate Risk Management provides a modern empirical analysis of corporate risk management across industries. It is designed for use by risk management professionals, academics, and graduate students.
Author: Malcolm Warner
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 1048
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Book Description
Author: Didier Cossin
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 384
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Book Description
Advanced Credit Analysis presents the latest and most advanced modelling techniques in the theory and practice of credit risk pricing and management. The book stresses the logic of theoretical models from the structural and the reduced-form kind, their applications and extensions. It shows the mathematical models that help determine optimal collateralisation and marking-to-market policies. It looks at modern credit risk management tools and the current structuring techniques available with credit derivatives.
Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
ISBN: 0387771174
Category : Business & Economics
Languages : en
Pages : 1700
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Book Description
Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.
