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Four Contributions to Quantitative Financial Risk Management

Four Contributions to Quantitative Financial Risk Management PDF Author: Nils Detering
Publisher:
ISBN:
Category :
Languages : en
Pages : 122

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Book Description

Four Contributions to Quantitative Financial Risk Management

Four Contributions to Quantitative Financial Risk Management PDF Author: Nils Detering
Publisher:
ISBN:
Category :
Languages : en
Pages : 122

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Book Description


Quantitative Financial Risk Management

Quantitative Financial Risk Management PDF Author: Desheng Dash Wu
Publisher: Springer Science & Business Media
ISBN: 3642193390
Category : Business & Economics
Languages : en
Pages : 338

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Book Description
The bulk of this volume deals with the four main aspects of risk management: market risk, credit risk, risk management - in macro-economy as well as within companies. It presents a number of approaches and case studies directed at applying risk management to diverse business environments. Included are traditional market and credit risk management models such as the Black-Scholes Option Pricing Model, the Vasicek Model, Factor models, CAPM models, GARCH models, KMV models and credit scoring models.

Quantitative Financial Risk Management

Quantitative Financial Risk Management PDF Author: Constantin Zopounidis
Publisher: John Wiley & Sons
ISBN: 1118738403
Category : Business & Economics
Languages : en
Pages : 448

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Book Description
A Comprehensive Guide to Quantitative Financial Risk Management Written by an international team of experts in the field, Quantitative Financial Risk Management: Theory and Practice provides an invaluable guide to the most recent and innovative research on the topics of financial risk management, portfolio management, credit risk modeling, and worldwide financial markets. This comprehensive text reviews the tools and concepts of financial management that draw on the practices of economics, accounting, statistics, econometrics, mathematics, stochastic processes, and computer science and technology. Using the information found in Quantitative Financial Risk Management can help professionals to better manage, monitor, and measure risk, especially in today's uncertain world of globalization, market volatility, and geo-political crisis. Quantitative Financial Risk Management delivers the information, tools, techniques, and most current research in the critical field of risk management. This text offers an essential guide for quantitative analysts, financial professionals, and academic scholars.

Quantitative Risk Management

Quantitative Risk Management PDF Author: Thomas S. Coleman
Publisher: John Wiley & Sons
ISBN: 1118235932
Category : Business & Economics
Languages : en
Pages : 576

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Book Description
State of the art risk management techniques andpractices—supplemented with interactive analytics All too often risk management books focus on risk measurementdetails without taking a broader view. Quantitative RiskManagement delivers a synthesis of common sense managementtogether with the cutting-edge tools of modern theory. This bookpresents a road map for tactical and strategic decision makingdesigned to control risk and capitalize on opportunities. Mostprovocatively it challenges the conventional wisdom that "riskmanagement" is or ever should be delegated to a separatedepartment. Good managers have always known that managing risk iscentral to a financial firm and must be the responsibility ofanyone who contributes to the profit of the firm. A guide to risk management for financial firms and managers inthe post-crisis world, Quantitative Risk Management updatesthe techniques and tools used to measure and monitor risk. Theseare often mathematical and specialized, but the ideas are simple.The book starts with how we think about risk and uncertainty, thenturns to a practical explanation of how risk is measured in today'scomplex financial markets. Covers everything from risk measures, probability, andregulatory issues to portfolio risk analytics and reporting Includes interactive graphs and computer code for portfoliorisk and analytics Explains why tactical and strategic decisions must be made atevery level of the firm and portfolio Providing the models, tools, and techniques firms need to buildthe best risk management practices, Quantitative RiskManagement is an essential volume from an experienced managerand quantitative analyst.

Quantitative Finance and Risk Management

Quantitative Finance and Risk Management PDF Author: Jan W Dash
Publisher: World Scientific Publishing Company
ISBN: 9814571253
Category : Business & Economics
Languages : en
Pages : 1000

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Book Description
Written by a physicist with extensive experience as a risk/finance quant, this book treats a wide variety of topics. Presenting the theory and practice of quantitative finance and risk, it delves into the "how to" and "what it's like" aspects not covered in textbooks or papers. A "Technical Index" indicates the mathematical level for each chapter. This second edition includes some new, expanded, and wide-ranging considerations for risk management: Climate Change and its long-term systemic risk; Markets in Crisis and the Reggeon Field Theory; "Smart Monte Carlo" and American Monte Carlo; Trend Risk — time scales and risk, the Macro–Micro model, singular spectrum analysis; credit risk: counterparty risk and issuer risk; stressed correlations — new techniques; and Psychology and option models. Solid risk management topics from the first edition and valid today are included: standard/advanced theory and practice in fixed income, equities, and FX; quantitative finance and risk management — traditional/exotic derivatives, fat tails, advanced stressed VAR, model risk, numerical techniques, deals/portfolios, systems, data, economic capital, and a function toolkit; risk lab — the nuts and bolts of risk management from the desk to the enterprise; case studies of deals; Feynman path integrals, Green functions, and options; and "Life as a Quant" — communication issues, sociology, stories, and advice.

Handbook of Quantitative Finance and Risk Management

Handbook of Quantitative Finance and Risk Management PDF Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
ISBN: 0387771174
Category : Business & Economics
Languages : en
Pages : 1716

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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.

A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data

A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data PDF Author: Dan-Ping Li
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 25

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Book Description
The financial risk not only affects the development of the company itself, but also affects the economic development of the whole society; therefore, the financial risk assessment of company is an important part. At present, numerous methods of financial risk assessment have been researched by scholars. However, most of the extant methods neither integrated fuzzy sets with quantitative analysis, nor took into account the historical data of the past few years. To settle these defects, this paper proposes a novel financial risk assessment model for companies based on heterogeneous multiple-criteria decision-making (MCDM) and historical data.

Handbooks in Operations Research and Management Science: Financial Engineering

Handbooks in Operations Research and Management Science: Financial Engineering PDF Author: John R. Birge
Publisher: Elsevier
ISBN: 9780080553252
Category : Business & Economics
Languages : en
Pages : 1026

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Book Description
The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stochastic models describing dynamics of financial risk variables, such as asset prices, foreign exchange rates, and interest rates, and to develop analytical, computational and statistical methods and tools to implement the models and employ them to design and evaluate financial products and processes to manage risk and to meet financial goals. This handbook describes the latest developments in this rapidly evolving field in the areas of modeling and pricing financial derivatives, building models of interest rates and credit risk, pricing and hedging in incomplete markets, risk management, and portfolio optimization. Leading researchers in each of these areas provide their perspective on the state of the art in terms of analysis, computation, and practical relevance. The authors describe essential results to date, fundamental methods and tools, as well as new views of the existing literature, opportunities, and challenges for future research.

Quantitative Financial Risk Management

Quantitative Financial Risk Management PDF Author: Michael B. Miller
Publisher: John Wiley & Sons
ISBN: 1119522234
Category : Business & Economics
Languages : en
Pages : 320

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Book Description
A mathematical guide to measuring and managing financial risk. Our modern economy depends on financial markets. Yet financial markets continue to grow in size and complexity. As a result, the management of financial risk has never been more important. Quantitative Financial Risk Management introduces students and risk professionals to financial risk management with an emphasis on financial models and mathematical techniques. Each chapter provides numerous sample problems and end of chapter questions. The book provides clear examples of how these models are used in practice and encourages readers to think about the limits and appropriate use of financial models. Topics include: • Value at risk • Stress testing • Credit risk • Liquidity risk • Factor analysis • Expected shortfall • Copulas • Extreme value theory • Risk model backtesting • Bayesian analysis • . . . and much more

Applied Quantitative Finance

Applied Quantitative Finance PDF Author: Wolfgang Karl Härdle
Publisher: Springer
ISBN: 3662544865
Category : Business & Economics
Languages : en
Pages : 372

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Book Description
This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility. The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bitcoins. The unique synthesis of theory and practice supported by computational tools is reflected not only in the selection of topics, but also in the fine balance of scientific contributions on practical implementation and theoretical concepts. This link between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners convenient access to new techniques in quantitative finance. Hence the book will appeal both to researchers, including master and PhD students, and practitioners, such as financial engineers. The results presented in the book are fully reproducible and all quantlets needed for calculations are provided on an accompanying website. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.