MARKET MODELS: A GUIDE TO FINANCIAL DATA ANALYSIS (With CD )

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Author: Carol Alexander

Publisher: N.A

ISBN: 9788126523702

Category:

Page: 516

View: 9894

Market_Desc: Primarily this book has been written for financial institutions (investment banks, asset management companies, investment analysis personnel, corporate treasuries, insurance companies, pension funds, risk management companies/consultants and regulatory bodies.) Special Features: "The author uses an applications-based approach."Includes the latest developments in VaR. About The Book: Models play a crucial role in today's financial markets and an understanding and appreciation of how to model financial data is key to any finance practitioner's skill set. Model developers are faced with many decisions, about the data, methodology, model specification and testing, prior to the final model implementation. This is costly and how many media reports in recent years have highlighted the mismanagement of such resources! It is crucial to make the right choices at every stage of model development. But this is as much an 'art' as a 'science'. The talented interpretation of results is just as critical for success as the mathematical foundation. This new book is the first of its kind. As well as providing numerous real world examples to illustrate concepts in an accessible manner, the accompanying CD will allow the reader to implement the examples themselves and adapt them for their own purposes. Professor Carol Alexander, Chair of Risk Management at the ISMA Centre and one of the best known names in financial data analysis, provides an authoritative and up-to-date treatment of model development. She brings many new insights to the practicalities of volatility and correlation analysis, modelling the market risk of portfolios and statistical models. New models that are based on cointegration, principal component analysis, normal mixture densities, GARCH and many other areas are elegantly and rigorously explained, with an emphasis on concepts that makes this text accessible to a very wide audience. The book is also designed to be self contained, with many technical appendices. Market Models is the ideal reference for all those involved in model selection and development

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: 1222

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, Practical Financial Econometrics

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Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 0470771038

Category: Business & Economics

Page: 426

View: 9023

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, Quantitative Methods in Finance

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Author: Carol Alexander

Publisher: John Wiley & Sons

ISBN: 047077102X

Category: Business & Economics

Page: 318

View: 2643

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: 9725

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.

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: 2892

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.

Modeling Financial Time Series with S-PLUS®

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Author: Eric Zivot,Jiahui Wang

Publisher: Springer Science & Business Media

ISBN: 9780387323480

Category: Business & Economics

Page: 998

View: 2599

This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. It is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This edition covers S+FinMetrics 2.0 and includes new chapters.

Analysis of Financial Time Series

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Author: Ruey S. Tsay

Publisher: John Wiley & Sons

ISBN: 9781118017098

Category: Mathematics

Page: 720

View: 8274

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time series The return series of multiple assets Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets. The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.

Big-Hook Crochet

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Author: Carol Alexander

Publisher: Annie's

ISBN: 9781592171248

Category: Crafts & Hobbies

Page: 176

View: 4807

Big translates into beautiful for the enticing array of projects inBig-Hook Crochet! From Chic fashions and trendy accessories to contemporaryhome accents, all of the fabulous, time-saving designs in this must-havebook are made using a variety of large-size hooks and bulky weight yarns foreasy stitching and quick results.

Finanzmarktstatistik

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Author: Friedrich Schmid,Mark Matthias Trede

Publisher: Springer-Verlag

ISBN: 3540297952

Category: Business & Economics

Page: 267

View: 1681

Dieses Buch gibt eine Einführung in die wichtigsten Verfahren der statistischen Analyse von Finanzmarktdaten wie beispielsweise Kursen oder Renditen von Aktien oder Aktienindizes. Unter den Themen sind die Deskription und Analyse von uni- und multivariaten Renditeverteilungen, die Analyse der Struktur von Renditezeitreihen sowie statistische Verfahren für das CAPM und die Untersuchung der stochastischen Dominanz. Das Buch richtet sich an Studierende der Wirtschaftswissenschaften im Hauptstudium, aber auch an Praktiker in Banken und Versicherungen. Es ist sehr gut zum Selbststudium geeignet. Kenntnisse der Mathematik und Statistik werden nur soweit vorausgesetzt, wie sie im wirtschaftswissenschaftlichen Grundstudium vermittelt werden.

Portfolio versus Benchmark

Performance- und Risikoanalyse im Portfoliomanagement

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Author: Elena Wüthrich

Publisher: LIT Verlag Münster

ISBN: 3643800460

Category:

Page: 261

View: 6315

Statistics and Data Analysis for Financial Engineering

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Author: David Ruppert

Publisher: Springer Science & Business Media

ISBN: 9781441977878

Category: Business & Economics

Page: 638

View: 6490

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful.

Technische Analyse der Finanzmärkte

Grundlagen, Strategien, Methoden, Anwendungen. Inkl. Workbook

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Author: Murphy John J.

Publisher: FinanzBuch Verlag

ISBN: 3862485153

Category: Political Science

Page: 656

View: 2018

John J. Murphy zählt zu den bekanntesten Technischen Analysten der USA. In seinem beeindruckenden Werk versteht er es bes tens, Ordnung ins weite Feld der Tech nischen Analyse zu bringen. Faktenreiche Erklärungen und hervorragende Abbildungen vermitteln sowohl Anfän gern als auch Fortgeschrittenen neueste Charttechniken, die direkt auf eine Vielzahl von Finanzinstrumenten angewendet werden können. Ihr Plus an Handlungsmöglichkeiten! Alle Zusammenhänge sind in unübertrefflicher Klarheit und Übersichtlichkeit dargestellt. Hier erhalten Sie schnell und punktgenau den letzten Stand der Dinge in Sachen Technischer Analyse der Finanzmärkte: - Alle Arten von Charts im Überblick: Mehr als 400 praxisnahe Charts zeigen Ihnen jedes wichtige Detail und führen Sie intensiv in die Charttechnik ein. - Interessante Indikatoren: Neue Hochs versus neue Tiefs, höheres Volumen versus niedrigeres Volumen, Aufwärtstrends versus Abwärtstrends, u. v. a. m. Erfassen Sie den Markt in seiner ganzen Bandbreite und Sie wissen sofort, wann ein Trend sich ändert! - Candlestick-Charts: So setzen Sie Besten diese äußerst plastische Art von Charts in ihrem Anlagealltag ein – erzielen auch Sie einfach bessere Ergebnisse beim Anlegen! - Die Intermarket-Analyse: Es ist höchste Zeit, die engen Verknüpfungen zwischen den einzelnen Finanzmärkten zu erkennen und richtig beurteilen zu können. - Risikomanagement und Psycho logie: Die entscheidenden Faktoren für den Privatanleger.

Modelling, Estimation and Control of Networked Complex Systems

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Author: Alessandro Chiuso,Luigi Fortuna,Mattia Frasca,Alessandro Rizzo,Luca Schenato,Sandro Zampieri

Publisher: Springer Science & Business Media

ISBN: 3642031986

Category: Technology & Engineering

Page: 238

View: 1433

The paradigm of complexity is pervading both science and engineering, le- ing to the emergence of novel approaches oriented at the development of a systemic view of the phenomena under study; the de?nition of powerful tools for modelling, estimation, and control; and the cross-fertilization of di?erent disciplines and approaches. One of the most promising paradigms to cope with complexity is that of networked systems. Complex, dynamical networks are powerful tools to model, estimate, and control many interesting phenomena, like agent coordination, synch- nization, social and economics events, networks of critical infrastructures, resourcesallocation,informationprocessing,controlovercommunicationn- works, etc. Advances in this ?eld are highlighting approaches that are more and more oftenbasedondynamicalandtime-varyingnetworks,i.e.networksconsisting of dynamical nodes with links that can change over time. Moreover, recent technological advances in wireless communication and decreasing cost and size of electronic devices are promoting the appearance of large inexpensive interconnected systems, each with computational, sensing and mobile ca- bilities. This is fostering the development of many engineering applications, which exploit the availability of these systems of systems to monitor and control very large-scale phenomena with ?ne resolution.

Blue Ribbon Crochet

Exceptional Designs to Create Your Own Prizewinning Projects

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Author: Carol Alexander

Publisher: Annie's

ISBN: 9781592170715

Category: Crafts & Hobbies

Page: 176

View: 8796

Find a stunning array of judges' choice afghans and a stylish selection of first-place fashions and accessories, as well as a bevy of best-in-show designs for babies and toddlers and an enchanting assortment of top-notch toys and games for children.

Bayesian Risk Management

A Guide to Model Risk and Sequential Learning in Financial Markets

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Author: Matt Sekerke

Publisher: John Wiley & Sons

ISBN: 1118708601

Category: Business & Economics

Page: 240

View: 3352

A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayesian Risk Management details a more flexible approach to risk management, and provides tools to measure financial risk in a dynamic market environment. This book opens discussion about uncertainty in model parameters, model specifications, and model–driven forecasts in a way that standard statistical risk measurement does not. And unlike current machine learning–based methods, the framework presented here allows you to measure risk in a fully–Bayesian setting without losing the structure afforded by parametric risk and asset–pricing models. Recognize the assumptions embodied in classical statistics Quantify model risk along multiple dimensions without backtesting Model time series without assuming stationarity Estimate state–space time series models online with simulation methods Uncover uncertainty in workhorse risk and asset–pricing models Embed Bayesian thinking about risk within a complex organization Ignoring uncertainty in risk modeling creates an illusion of mastery and fosters erroneous decision–making. Firms who ignore the many dimensions of model risk measure too little risk, and end up taking on too much. Bayesian Risk Management provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty.

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: 5627

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.

Favorite Throws and Table Toppers to Crochet

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Author: Carol Alexander,Brenda Stratton

Publisher: Annies Attic Llc

ISBN: 9781596351288

Category: Crafts & Hobbies

Page: 304

View: 1598

The beautiful throws featured in this book include a wide variety of designs that are perfect for any occassion, whether it's a special house warming or wedding gift, birthday or anniversary present, cheery holiday accent or a charitable donation to help comfort homeless and disaster victims.Whatever your tastes or gift-giving needs, this delightful volume of favorite throws and table toppers is sure to inspire you with many wonderful choices to crochet a variety of one-of-a-kind projects.

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: 1820

Financial Markets and Trading

An Introduction to Market Microstructure and Trading Strategies

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Author: Anatoly B. Schmidt

Publisher: John Wiley & Sons

ISBN: 9781118093658

Category: Business & Economics

Page: 208

View: 7756

An informative guide to market microstructure and tradingstrategies Over the last decade, the financial landscape has undergone asignificant transformation, shaped by the forces of technology,globalization, and market innovations to name a few. In order tooperate effectively in today's markets, you need more than just themotivation to succeed, you need a firm understanding of how modernfinancial markets work and what professional trading is reallyabout. Dr. Anatoly Schmidt, who has worked in the financialindustry since 1997, and teaches in the Financial Engineeringprogram of Stevens Institute of Technology, puts these topics inperspective with his new book. Divided into three comprehensive parts, this reliable resourceoffers a balance between the theoretical aspects of marketmicrostructure and trading strategies that may be more relevant forpractitioners. Along the way, it skillfully provides an informativeoverview of modern financial markets as well as an engagingassessment of the methods used in deriving and back-testing tradingstrategies. Details the modern financial markets for equities, foreignexchange, and fixed income Addresses the basics of market dynamics, including statisticaldistributions and volatility of returns Offers a summary of approaches used in technical analysis andstatistical arbitrage as well as a more detailed description oftrading performance criteria and back-testing strategies Includes two appendices that support the main material in thebook If you're unprepared to enter today's markets you willunderperform. But with Financial Markets and Trading as yourguide, you'll quickly discover what it takes to make it in thiscompetitive field.