Market Risk Analysis, Quantitative Methods in Finance

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Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 047077102X

Category: Business & Economics

Page: 318

View: 9543

Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand. Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary. Instead the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management. Unique to this book is a focus on both continuous and discrete time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous time and discrete time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with the tools to start applying their knowledge immediately. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Principal component analysis of European equity indices; Calibration of Student t distribution by maximum likelihood; Orthogonal regression and estimation of equity factor models; Simulations of geometric Brownian motion, and of correlated Student t variables; Pricing European and American options with binomial trees, and European options with the Black-Scholes-Merton formula; Cubic spline fitting of yields curves and implied volatilities; Solution of Markowitz problem with no short sales and other constraints; Calculation of risk adjusted performance metrics including generalised Sharpe ratio, omega and kappa indices.

Market Risk Analysis, Pricing, Hedging and Trading Financial Instruments

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Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 9780470997895

Category: Business & Economics

Page: 416

View: 2546

Written by leading market risk academic, Professor Carol Alexander, Pricing, Hedging and Trading Financial Instruments forms part three of the Market Risk Analysis four volume set. This book is an in-depth, practical and accessible guide to the models that are used for pricing and the strategies that are used for hedging financial instruments, and to the markets in which they trade. It provides a comprehensive, rigorous and accessible introduction to bonds, swaps, futures and forwards and options, including variance swaps, volatility indices and their futures and options, to stochastic volatility models and to modelling the implied and local volatility surfaces. All together, the MARKET RISK ANALYSIS four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM. In this volume alone there are over 200 spreadsheets in 25 workbooks. Here are just some of he illustrative empirical examples and case studies in this volume: Duration-Convexity approximation to bond portfolios, and portfolio immunization; Pricing floaters and vanilla, basis and variance swaps; Coupon stripping and yield curve fitting; Proxy hedging, and hedging international securities and energy futures portfolios; Pricing models for European exotics, including barriers, Asians, look-backs, choosers, capped, contingent, power, quanto, compo, exchange, ‘best-of’ and spread options; Libor model calibration; Dynamic models for implied volatility based on principal component analysis; Calibration of stochastic volatility models (Matlab code); Simulations from stochastic volatility and jump models; Duration, PV01 and volatility invariant cash flow mappings; Delta-gamma-theta-vega mappings for options portfolios; Volatility beta mapping to volatility indices.

Einführung in die Statistik der Finanzmärkte

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Author: Jürgen Franke,Wolfgang Karl Härdle,Christian Matthias Hafner

Publisher: Springer-Verlag

ISBN: 3642170498

Category: Business & Economics

Page: 428

View: 6313

Entries und Exits

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Author: Alexander Elder

Publisher: FinanzBuch Verlag

ISBN: 9783898792868

Category:

Page: 473

View: 9692

Market Risk Analysis, Practical Financial Econometrics

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Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 0470771038

Category: Business & Economics

Page: 426

View: 1357

Written by leading market risk academic, Professor Carol Alexander, Practical Financial Econometrics forms part two of the Market Risk Analysis four volume set. It introduces the econometric techniques that are commonly applied to finance with a critical and selective exposition, emphasising the areas of econometrics, such as GARCH, cointegration and copulas that are required for resolving problems in market risk analysis. The book covers material for a one-semester graduate course in applied financial econometrics in a very pedagogical fashion as each time a concept is introduced an empirical example is given, and whenever possible this is illustrated with an Excel spreadsheet. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Factor analysis with orthogonal regressions and using principal component factors; Estimation of symmetric and asymmetric, normal and Student t GARCH and E-GARCH parameters; Normal, Student t, Gumbel, Clayton, normal mixture copula densities, and simulations from these copulas with application to VaR and portfolio optimization; Principal component analysis of yield curves with applications to portfolio immunization and asset/liability management; Simulation of normal mixture and Markov switching GARCH returns; Cointegration based index tracking and pairs trading, with error correction and impulse response modelling; Markov switching regression models (Eviews code); GARCH term structure forecasting with volatility targeting; Non-linear quantile regressions with applications to hedging.

Risk Analysis in Finance and Insurance, Second Edition

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Author: Alexander Melnikov

Publisher: CRC Press

ISBN: 1420070533

Category: Mathematics

Page: 328

View: 673

Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many important ideas from mathematics, finance, and actuarial science in a simplified manner. He explores the interconnections among these disciplines and encourages readers toward further study of the subject. This edition continues to study risks associated with financial and insurance contracts, using an approach that estimates the value of future payments based on current financial, insurance, and other information. New to the Second Edition Expanded section on the foundations of probability and stochastic analysis Coverage of new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance More worked examples and problems Reorganized and expanded, this updated book illustrates how to use quantitative methods of stochastic analysis in modern financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis and management.

Das Risiko und sein Preis

Skin in the Game

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Author: Nassim Nicholas Taleb

Publisher: Verlagsgruppe Random House GmbH

ISBN: 3641234522

Category: Social Science

Page: 384

View: 3285

Warum wir nur denen vertrauen sollten, die etwas zu verlieren haben Stehen wir für die Risiken ein, die wir verursachen? Zu viele der Menschen, die auf der Welt Macht und Einfluss haben, so Nassim Nicholas Taleb, müssen nicht wirklich den Kopf hinhalten für das, was sie tun und veranlassen. Intellektuelle, Journalisten, Bürokraten, Banker, ihnen vor allem wirft er vor, kein »Skin in the Game« zu haben. Weil sie den Preis nicht bezahlen müssen, wenn sie irren, fällen sie schlechte Entscheidungen. Taleb zeigt anhand vieler Beispiele, wie »Skin in the Game«, ein fundamentales Konzept des Risikomanagements, auf alle Bereiche unseres Lebens übertragen werden kann. Sein neues Buch, so provozierend und bahnbrechend wie »Der Schwarze Schwan«, fordert uns heraus, alles, was wir über Risiko und Verantwortung in Politik, Wirtschaft und Gesellschaft zu wissen glauben, neu zu denken.

Derivate und Interne Modelle

Modernes Risikomanagement

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Author: Hans-Peter Deutsch,Mark W. Beinker

Publisher: N.A

ISBN: 9783791033129

Category:

Page: 715

View: 7464

Die Entwicklung der Technischen Analyse

Finanzprognosen von den babylonischen Tafeln bis zu den Bloomberg-Terminals

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Author: Andrew W. Lo,Jasmina Hasanhodzic

Publisher: John Wiley & Sons

ISBN: 3527506101

Category: Technical analysis (Investment analysis)

Page: 249

View: 3929

Andrew W. Lo und Jasmina Hasanhodzic erzählen die faszinierende Geschichte der Technischen Analyse von dem alten Babylon bis heute. Sie zeigen, wo Technische Analysten versagten, wie sie erfolgreich waren und was all dies für die heutigen Wertpaperhändler und Investoren bedeutet.

Risikomanagement

Banken, Versicherungen und andere Finanzinstitutionen

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Author: John Hull

Publisher: Pearson Deutschland GmbH

ISBN: 9783868940435

Category: Financial institutional

Page: 616

View: 9954

Applied Quantitative Finance

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Author: Wolfgang Karl Härdle,Cathy Yi-Hsuan Chen,Ludger Overbeck

Publisher: Springer

ISBN: 3662544865

Category: Business & Economics

Page: 372

View: 8452

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.

Investment Risk Management

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Author: H. Kent Baker,Greg Filbeck

Publisher: Oxford University Press

ISBN: 0190214082

Category: Business & Economics

Page: 736

View: 1794

All investments carry with them some degree of risk. In the financial world, individuals, professional money managers, financial institutions, and many others encounter and must deal with risk. Risk management is a process of determining what risks exist in an investment and then handling those risks in the best-suited way. This is important because it can reduce or augment risk depending on the goals of investors and portfolio managers. The main purpose of Investment Risk Management is to provide an overview of developments in risk management and a synthesis of research involving these developments. The book examines ways to alter exposures through measuring and managing those exposures and provides an understanding of the latest strategies and trends within risk management. The scope of the coverage is broad and encompasses the most important aspects of investment risk management. Its 30 chapters are organized into six sections: (1) foundations of risk management, (2) types of risk, (3) quantitative assessment of risk, (4) risk and risk classes, (5) hedging risk and (6) going forward. The book should be of particular interest to sophisticated practitioners, investors, academics, and graduate finance students. Investment Risk Management provides a fresh look at this intriguing but complex subject.

Quantitative Analysis in Financial Markets

Collected Papers of the New York University Mathematical Finance Seminar

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Author: Marco Avellaneda

Publisher: World Scientific

ISBN: 9789810242268

Category: Business & Economics

Page: 359

View: 5723

This invaluable book contains lectures delivered at the celebrated Seminar in Mathematical Finance at the Courant Institute. The lectures and presenters of papers are prominent researchers and practitioners in the field of quantitative financial modeling. Most are faculty members at leading universities or Wall Street practitioners. The lectures deal with the emerging science of pricing and hedging derivative securities and, more generally, managing financial risk. Specific articles concern topics such as option theory, dynamic hedging, interest-rate modeling, portfolio theory, price forecasting using statistical methods, etc.

Applied Quantitative Methods for Trading and Investment

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Author: Christian L. Dunis,Jason Laws,Patrick Naïm

Publisher: John Wiley & Sons

ISBN: 0470871342

Category: Business & Economics

Page: 426

View: 2365

This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, software and techniques that will enable the reader to implement and interpret quantitative methodologies, specifically for trading and investment. Includes contributions from an international team of academics and quantitative asset managers from Morgan Stanley, Barclays Global Investors, ABN AMRO and Credit Suisse First Boston. Fills the gap for a book on applied quantitative investment & trading models Provides details of how to combine various models to manage and trade a portfolio

Market Risk Analysis, Pricing, Hedging and Trading Financial Instruments

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Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 0470772816

Category: Business & Economics

Page: 416

View: 4288

Written by leading market risk academic, Professor Carol Alexander, Pricing, Hedging and Trading Financial Instruments forms part three of the Market Risk Analysis four volume set. This book is an in-depth, practical and accessible guide to the models that are used for pricing and the strategies that are used for hedging financial instruments, and to the markets in which they trade. It provides a comprehensive, rigorous and accessible introduction to bonds, swaps, futures and forwards and options, including variance swaps, volatility indices and their futures and options, to stochastic volatility models and to modelling the implied and local volatility surfaces. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Duration-Convexity approximation to bond portfolios, and portfolio immunization; Pricing floaters and vanilla, basis and variance swaps; Coupon stripping and yield curve fitting; Proxy hedging, and hedging international securities and energy futures portfolios; Pricing models for European exotics, including barriers, Asians, look-backs, choosers, capped, contingent, power, quanto, compo, exchange, ‘best-of’ and spread options; Libor model calibration; Dynamic models for implied volatility based on principal component analysis; Calibration of stochastic volatility models (Matlab code); Simulations from stochastic volatility and jump models; Duration, PV01 and volatility invariant cash flow mappings; Delta-gamma-theta-vega mappings for options portfolios; Volatility beta mapping to volatility indices.

Die Analyse der Finanzkrise ...und was sie bedeutet - weltweit.

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Author: George Soros

Publisher: FinanzBuch Verlag

ISBN: 3862486540

Category: Business & Economics

Page: 144

View: 4278

In seinem vorangegangenen Bestseller stellte George Soros einen theoretischen Rahmen für das Verständnis der Finanzkrise vor, die sich damals abzuzeichnen begann. Er hatte schon früh erkannt, dass die Krise gravierender war, als viele eingestehen wollten. In seinem neuen Buch fasst Soros die erschreckenden Fakten zusammen, die immer noch die Spalten der Zeitungen füllen. Dabei analysiert er scharfsinnig jeden einzelnen Fall. Soros ist bekannt für seine treffenden Prognosen und scheut sich auch dieses Mal nicht einen Blick in die Zukunft zu werfen. So konfrontiert er den Leser schonungslos mit den Auswirkungen der Krise, indem er die künftige Entwicklung des Dollar, der Schwellenländer Indiens und Chinas sowie die stärker werdende Rivalität von EU und Russland unter die Lupe nimmt.

Financial Risk Forecasting

The Theory and Practice of Forecasting Market Risk with Implementation in R and Matlab

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Author: Jon Danielsson

Publisher: John Wiley & Sons

ISBN: 1119977118

Category: Business & Economics

Page: 296

View: 721

Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.

Market Risk Analysis, Value at Risk Models

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Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 047074507X

Category: Business & Economics

Page: 492

View: 6215

Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four volume set. Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and of mapping portfolios of similar instruments to risk factors. A unifying characteristic of the series is the pedagogical approach to practical examples that are relevant to market risk analysis in practice. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Parametric linear value at risk (VaR)models: normal, Student t and normal mixture and their expected tail loss (ETL); New formulae for VaR based on autocorrelated returns; Historical simulation VaR models: how to scale historical VaR and volatility adjusted historical VaR; Monte Carlo simulation VaR models based on multivariate normal and Student t distributions, and based on copulas; Examples and case studies of numerous applications to interest rate sensitive, equity, commodity and international portfolios; Decomposition of systematic VaR of large portfolios into standard alone and marginal VaR components; Backtesting and the assessment of risk model risk; Hypothetical factor push and historical stress tests, and stress testing based on VaR and ETL.

Fundamentale Analyse

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Author: Jack D. Schwager

Publisher: FinanzBuch Verlag

ISBN: 9783932114045

Category: Futures

Page: 684

View: 8397