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: 1637

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.

Market Risk Analysis, Practical Financial Econometrics

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Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 146725052X

Category: Education

Page: 40

View: 1154

Facts101 is your complete guide to Market Risk Analysis, Practical Financial Econometrics. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Financial Engineering

Strategien, Bewertungen und Risikomanagement

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Author: Michael Bloss

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 311053116X

Category: Business & Economics

Page: 674

View: 3456

Dieses Buch zeigt einzelne Strategien, Bewertungen, das Risikocontrolling und den Financial-Engineering-Prozess auf und geht dabei explizit auf die verwendeten Derivate sowie die eingesetzten Kombinationsstrategien ein. Gegenüber der Vorauflage wurde das Augenmerk verstärkt auf die Modelle im Financial Engineering, die neuen Produktausgestaltungen und die veränderte Regulatorik gelegt.

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: 2601

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: 9049

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.

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: 1999

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.

Essential Mathematics for Market Risk Management

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Author: Simon Hubbert

Publisher: John Wiley & Sons

ISBN: 1119953022

Category: Business & Economics

Page: 416

View: 8232

Everything you need to know in order to manage risk effectively within your organization You cannot afford to ignore the explosion in mathematical finance in your quest to remain competitive. This exciting branch of mathematics has very direct practical implications: when a new model is tested and implemented it can have an immediate impact on the financial environment. With risk management top of the agenda for many organizations, this book is essential reading for getting to grips with the mathematical story behind the subject of financial risk management. It will take you on a journey—from the early ideas of risk quantification up to today's sophisticated models and approaches to business risk management. To help you investigate the most up-to-date, pioneering developments in modern risk management, the book presents statistical theories and shows you how to put statistical tools into action to investigate areas such as the design of mathematical models for financial volatility or calculating the value at risk for an investment portfolio. Respected academic author Simon Hubbert is the youngest director of a financial engineering program in the U.K. He brings his industry experience to his practical approach to risk analysis Captures the essential mathematical tools needed to explore many common risk management problems Website with model simulations and source code enables you to put models of risk management into practice Plunges into the world of high-risk finance and examines the crucial relationship between the risk and the potential reward of holding a portfolio of risky financial assets This book is your one-stop-shop for effective risk management.

QFINANCE: The Ultimate Resource, 4th edition

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Author: Bloomsbury Publishing

Publisher: A&C Black

ISBN: 184930064X

Category: Business & Economics

Page: 2208

View: 902

QFINANCE: The Ultimate Resource (4th edition) offers both practical and thought-provoking articles for the finance practitioner, written by leading experts from the markets and academia. The coverage is expansive and in-depth, with key themes which include balance sheets and cash flow, regulation, investment, governance, reputation management, and Islamic finance encompassed in over 250 best practice and thought leadership articles. This edition will also comprise key perspectives on environmental, social, and governance (ESG) factors -- essential for understanding the long-term sustainability of a company, whether you are an investor or a corporate strategist. Also included: Checklists: more than 250 practical guides and solutions to daily financial challenges; Finance Information Sources: 200+ pages spanning 65 finance areas; International Financial Information: up-to-date country and industry data; Management Library: over 130 summaries of the most popular finance titles; Finance Thinkers: 50 biographies covering their work and life; Quotations and Dictionary.

Market Risk Analysis

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Author: Carol Alexander

Publisher: Wiley

ISBN: 9780470997994

Category: Business & Economics

Page: 1652

View: 4423

Market Risk Analysis is the most comprehensive, rigorous and detailed resource available on market risk analysis. Written as a series of four interlinked volumes each title is self-contained, although numerous cross-references to other volumes enable readers to obtain further background knowledge and information about financial applications. Volume I: Quantitative Methods in Finance covers the essential mathematical and financial background for subsequent volumes. Although many readers will already be familiar with this material, few competing texts contain such a complete and pedagogical exposition of all the basic quantitative concepts required for market risk analysis. There are six comprehensive chapters covering all the calculus, linear algebra, probability and statistics, numerical methods and portfolio mathematics that are necessary for market risk analysis. This is an ideal background text for a Masters course in finance. Volume II: Practical Financial Econometrics provides a detailed understanding of financial econometrics, with applications to asset pricing and fund management as well as to market risk analysis. It covers equity factor models, including a detailed analysis of the Barra model and tracking error, principal component analysis, volatility and correlation, GARCH, cointegration, copulas, Markov switching, quantile regression, discrete choice models, non-linear regression, forecasting and model evaluation. Volume III: Pricing, Hedging and Trading Financial Instruments has five very long chapters on the pricing, hedging and trading of bonds and swaps, futures and forwards, options and volatility as well detailed descriptions of mapping portfolios of these financial instruments to their risk factors. There are numerous examples, all coded in interactive Excel spreadsheets, including many pricing formulae for exotic options but excluding the calibration of stochastic volatility models, for which Matlab code is provided. The chapters on options and volatility together constitute 50% of the book, the slightly longer chapter on volatility concentrating on the dynamic properties the two volatility surfaces the implied and the local volatility surfaces that accompany an option pricing model, with particular reference to hedging. Volume IV: Value at Risk Models builds on the three previous volumes to provide by far the most comprehensive and detailed treatment of market VaR models that is currently available in any textbook. The exposition starts at an elementary level but, as in all the other volumes, the pedagogical approach accompanied by numerous interactive Excel spreadsheets allows readers to experience the application of parametric linear, historical simulation and Monte Carlo VaR models to increasingly complex portfolios. Starting with simple positions, after a few chapters we apply value-at-risk models to interest rate sensitive portfolios, large international securities portfolios, commodity futures, path dependent options and much else. This rigorous treatment includes many new results and applications to regulatory and economic capital allocation, measurement of VaR model risk and stress testing.

Effizienzorientierte Kapitalmarktregulierung

Eine Analyse aus institutionenökonomischer Perspektive

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Author: Sabine Kress

Publisher: Springer-Verlag

ISBN: 3322866491

Category: Business & Economics

Page: 386

View: 5941

Die Harmonisierungsbestrebungen innerhalb der EU und die rapide fortschreitende globale Intergration verändern die Anforderungen sowohl an die technisch-organisatorischen als auch an dierechtlichen Rahmenbedingungen der Kapitalmärkte. Auf der Grundlage der Theorien der Institutionellen Mikroökonomie untersucht Sabine L. Kress die Konsequenzen unterschiedlicher Organisationsformen von Handelssystemen. Auf der rechtlichen Ebene werden Regulierungsalternativen hinsichtlich des Insider-Handels und der Praxis von Unternehmensübernahmen geprüft. Es zeigt sich, daß ein hybrides System aus elektronischer Aktienbörse und Market Makern allen anderen Formen von Hand elssystemen überlegen ist und daß sowohl Insider-Handel als auch Unternehmensübernahmen generell die Funktionsfähigkeit des Kapitalmarktes steigern. Zudem leisten beide Phänomene einen Beitrag zur Effiziens des Arbeitsmarktes und des Marktes für Unternehmenskontrolle.

QFinance

The Ultimate Resource

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Author: Various Authors

Publisher: Bloomsbury USA

ISBN: 9781849300001

Category: Business & Economics

Page: 2200

View: 3110

Compiled by more than 300 of the world's leading professionals, visionaries, writers and educators, this is THE first-stop reference resource and knowledge base for finance. QFINANCE covers an extensive range of finance topics with unique insight, authoritative information, practical guidance and thought-provoking widsom. Unmatched for in-depth content, QFINANCE contains more than 2 million words of text, data analysis, critical summaries and bonus online content. Created by Bloomsbury Publishing in association with the Qatar Financial Centre (QFC) Authority, QFINANCE is the expert reference resource for finance professionals, academics, students, journalists and writers. QFINANCE: The Ultimate Resource Special Features: Best Practice and Viewpoint Essays – Finance leaders, experts and educators address how to resolve the most crucial issues and challenges facing business today. Finance Checklists – Step-by-step guides offer problem-solving solutions including hedging interest-rate risk, governance practices, project appraisal, estimating enterprise value and managing credit ratings. Calculations and Ratios – Essential mathematical tools include how to calculate return on investment, return on shareholders’ equity, working capital productivity, EVA, risk-adjusted rate of return, CAPM, etc. Finance Thinkers and Leaders – Illuminating biographies of 50 of the leading figures in modern finance including Joseph De La Vega, Louis Bachelier, Franco Modigliani, Paul Samuelson, and Myron Scholes Finance Library digests –Summaries of more than 130 key works ranging from “Against the Gods” to “Portfolio Theory & Capital Markets” and “The Great Crash”. Country and Sector Profiles – In-depth analysis of 102 countries and 26 sectors providing essential primary research resource for direct or indirect investment. Finance Information Sources – A select list of the best resources for further information on finance and accounting worldwide, both in print and online, including books, journal articles, magazines, internet, and organizations Finance Dictionary – A comprehensive jargon-free, easy-to-use dictionary of more than 9,000 finance and banking terms used globally. Quotations – More than 2,000 business relevant quotations. Free access to QFinance Online Resources (www.qfinance.com): Get daily content updates, podcasts, online events and use our fully searchable database.

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: 8821

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.

Maß- und Wahrscheinlichkeitstheorie

Eine Einführung

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Author: Norbert Kusolitsch

Publisher: Springer-Verlag

ISBN: 3642453872

Category: Mathematics

Page: 353

View: 4952

Das Buch ist eine kompakte, leicht lesbare Einführung in die Maß- und Integrationstheorie samt Wahrscheinlichkeitstheorie, in der auch auf den für das Verständnis wichtigen Bezug zur klassischen Analysis, etwa in Abschnitten über Funktionen von beschränkter Variation oder dem Hauptsatz der Differential- und Integralrechnung eingegangen wird. Trotz seines verhältnismäßig geringen Umfangs behandelt es alle wesentlichen Themen dieser Fachgebiete, wie Mengensysteme, Mengenfunktionen Maßfortsetzung, Unabhängigkeit, Lebesgue-Stieltjes-Maße, Verteilungsfunktionen, messbare Funktionen, Zufallsvariable, Integral, Erwartungswert, Konvergenzsätze, Transformationssätze, Produkträume, Satz von Fubini, Zerlegungssätze, Funktionen von beschränkter Variation, Hauptsatz der Differential- und Integralrechnung, Lp-Räume, Bedingte Erwartungen, Gesetze der großen Zahlen, Ergodensätze, Martingale, Verteilungskonvergenz, charakteristische Funktionen und die Grenzverteilungssätze von Lindeberg und Feller.

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: 3213

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.

Zeitreihenmodelle

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Author: Andrew C. Harvey

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3486786741

Category: Business & Economics

Page: 396

View: 5326

Gegenstand des Werkes sind Analyse und Modellierung von Zeitreihen. Es wendet sich an Studierende und Praktiker aller Disziplinen, in denen Zeitreihenbeobachtungen wichtig sind.

Behavioral finance

gewinnen mit Kompetenz ; [verbessern Sie die Trefferquote Ihrer Anlageentscheidungen deutlich!]

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Author: Joachim Goldberg,Rüdiger von Nitzsch

Publisher: FinanzBuch Verlag

ISBN: 9783898791007

Category: Investments

Page: 280

View: 3831

Financial Econometrics and Empirical Market Microstructure

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Author: Anil K. Bera,Sergey Ivliev,Fabrizio Lillo

Publisher: Springer

ISBN: 3319099469

Category: Business & Economics

Page: 284

View: 6386

In the era of Big Data our society is given the unique opportunity to understand the inner dynamics and behavior of complex socio-economic systems. Advances in the availability of very large databases, in capabilities for massive data mining, as well as progress in complex systems theory, multi-agent simulation and computational social science open the possibility of modeling phenomena never before successfully achieved. This contributed volume from the Perm Winter School address the problems of the mechanisms and statistics of the socio-economics system evolution with a focus on financial markets powered by the high-frequency data analysis. ​