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Christoffersens Elements Of Financial Risk Management

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Elements of Financial Risk Management

Elements of Financial Risk Management Book
Author : Peter F. Christoffersen
Publisher : Academic Press
Release : 2012
ISBN : 0123744482
Language : En, Es, Fr & De

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Book Description :

The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Four new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual and PowerPoint slides, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises

Elements of Financial Risk Management

Elements of Financial Risk Management Book
Author : Peter Christoffersen
Publisher : Academic Press
Release : 2003-08-05
ISBN : 9780121742324
Language : En, Es, Fr & De

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Book Description :

Elements of Financial Risk Management offers an introduction to modern risk management. It focuses on implementation, especially recent techniques which facilitate bridging the gap between standard textbooks on risk and real-life risk management systems. It identifies key features of risk asset returns and captures them in tractable statistical models in the companion website. It presents step-by-step approaches as a means to solve problems. This book is intended for three types of readers with an interest in financial risk management. First, Master's and Ph.D. students specializing in finance and economics. Second, market practitioners with a quantitative undergraduate or graduate degree. Third, a small group of advanced undergraduates majoring in either economics, engineering, finance, or another quantitative field. The book will also suit those in financial engineering courses who have strong quantitative backgrounds and those in Ph.D. courses. *Pinpoints key features of risk asset returns and captures them in tractable statistical models in the companion website *Presents step-by-step approaches as a means to solve problems *Visible patterns in the data motivate the choices of tools, and when tools fall short, it presents the next tool

Elements of Financial Risk Management

Elements of Financial Risk Management Book
Author : Peter Christoffersen
Publisher : Academic Press
Release : 2011-11-10
ISBN : 0080922430
Language : En, Es, Fr & De

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Book Description :

The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Five new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises

Elements of Financial Risk Management 2nd Edition

Elements of Financial Risk Management  2nd Edition Book
Author : Peter Christoffersen
Publisher : Unknown
Release : 2011
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Five new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises.

Elements of Financial Risk Management

Elements of Financial Risk Management Book
Author : Peter Christoffersen
Publisher : Academic Press
Release : 2019-04-15
ISBN : 9780128150061
Language : En, Es, Fr & De

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Book Description :

Elements of Financial Risk Management: A Buyside Perspective Using Excel and MATLAB, Third Edition focuses on the implementation of techniques that help students and practitioners bridge the gap between standard textbooks on risk and real-life risk management systems. Without a highly sophisticated quant background, readers can understand its detailed and comprehensive coverage of most market-risk related topics. More a financial econometrics book than a financial risk management book, it shows how to apply tools developed in financial econometrics to risk management. It differs from typical risk management books by digging more deeply in the assumptions and models behind risk calculations. Covers both new research streams (e.g., asymmetrical t distributions) and new areas of interest for practitioners, such as external stress testing Includes 4 new chapters, updates every existing chapter, and expands its pedagogical elements to include MATLAB exercises Enables students and practitioners to grasp most concepts and techniques with limited knowledge of basic statistics and financial mathematics

Model Risk in Financial Markets

Model Risk in Financial Markets Book
Author : Radu Tunaru
Publisher : World Scientific
Release : 2015-06-08
ISBN : 9814663425
Language : En, Es, Fr & De

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Book Description :

The financial systems in most developed countries today build up a large amount of model risk on a daily basis. However, this is not particularly visible as the financial risk management agenda is still dominated by the subprime-liquidity crisis, the sovereign crises, and other major political events. Losses caused by model risk are hard to identify and even when they are internally identified, as such, they are most likely to be classified as normal losses due to market evolution. Model Risk in Financial Markets: From Financial Engineering to Risk Management seeks to change the current perspective on model innovation, implementation and validation. This book presents a wide perspective on model risk related to financial markets, running the gamut from financial engineering to risk management, from financial mathematics to financial statistics. It combines theory and practice, both the classical and modern concepts being introduced for financial modelling. Quantitative finance is a relatively new area of research and much has been written on various directions of research and industry applications. In this book the reader gradually learns to develop a critical view on the fundamental theories and new models being proposed. Contents:IntroductionFundamental RelationshipsModel Risk in Interest Rate ModellingArbitrage TheoryDerivatives Pricing Under UncertaintyPortfolio Selection Under UncertaintyProbability Pitfalls of Financial CalculusModel Risk in Risk Measures CalculationsParameter Estimation RiskComputational ProblemsPortfolio Selection Using Sharpe RatioBayesian Calibration for Low Frequency DataMCMC Estimation of Credit Risk MeasuresLast But Not Least. Can We Avoid the Next Big Systemic Financial Crisis?Notations for the Study of MLE for CIR Process Readership: Graduate students, researchers, practitioners, senior managers in financial institutions and hedge-funds, regulators and risk managers, who are keen to understand the pitfalls of financial modelling, and also those who are looking for a career in model validation, product control and risk management functions. Key Features:Some innovative results are presented for the first timeCovers a wide range of models, results and applications in financial markets to demonstrate that model risk is generally spreadKeywords:Model Risk;Risk Management;Financial Engineering;Financial Markets

Extreme Events in Finance

Extreme Events in Finance Book
Author : Francois Longin
Publisher : John Wiley & Sons
Release : 2016-09-30
ISBN : 1118650204
Language : En, Es, Fr & De

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Book Description :

A guide to the growing importance of extreme value risk theory, methods, and applications in the financial sector Presenting a uniquely accessible guide, Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance and a practical understanding of market behavior including both ordinary and extraordinary conditions. Beginning with a fascinating history of EVTs and financial modeling, the handbook introduces the historical implications that resulted in the applications and then clearly examines the fundamental results of EVT in finance. After dealing with these theoretical results, the handbook focuses on the EVT methods critical for data analysis. Finally, the handbook features the practical applications and techniques and how these can be implemented in financial markets. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications includes: Over 40 contributions from international experts in the areas of finance, statistics, economics, business, insurance, and risk management Topical discussions on univariate and multivariate case extremes as well as regulation in financial markets Extensive references in order to provide readers with resources for further study Discussions on using R packages to compute the value of risk and related quantities The book is a valuable reference for practitioners in financial markets such as financial institutions, investment funds, and corporate treasuries, financial engineers, quantitative analysts, regulators, risk managers, large-scale consultancy groups, and insurers. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications is also a useful textbook for postgraduate courses on the methodology of EVTs in finance.

Handbook of Financial Time Series

Handbook of Financial Time Series Book
Author : Torben Gustav Andersen,Richard A. Davis,Jens-Peter Kreiß,Thomas V. Mikosch
Publisher : Springer Science & Business Media
Release : 2009-04-21
ISBN : 3540712976
Language : En, Es, Fr & De

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Book Description :

The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.

Handbook of the Economics of Finance

Handbook of the Economics of Finance Book
Author : George M. Constantinides,Milton Harris,Rene M. Stulz
Publisher : Newnes
Release : 2013-02-08
ISBN : 0444594736
Language : En, Es, Fr & De

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Book Description :

The 12 articles in this second of two parts condense recent advances on investment vehicles, performance measurement and evaluation, and risk management into a coherent springboard for future research. Written by world leaders in asset pricing research, they present scholarship about the 2008 financial crisis in contexts that highlight both continuity and divergence in research. For those who seek authoritative perspectives and important details, this volume shows how the boundaries of asset pricing have expanded and at the same time have grown sharper and more inclusive. Offers analyses by top scholars of recent asset pricing scholarship Explains how the 2008 financial crises affected theoretical and empirical research Covers core and newly developing fields

Financial Risk Management in Banking

Financial Risk Management in Banking Book
Author : Shahsuzan Zakaria,Sardar Islam
Publisher : Routledge
Release : 2019-08-08
ISBN : 0429758650
Language : En, Es, Fr & De

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Book Description :

As risk-taking is an essential part of the banking industry, banks must practise efficient risk management to ensure survival in uncertain financial climates. Banking operations are specifically affected by fluctuations in interest rates which cause financial imbalance; thus banks are now required to put in place an effective management structure that incorporates risk management efficiency measures that help mitigate the wide range of risks they face. In this book, the authors have developed a new modelling approach to determine banks’ financial risk management by offering detailed insights into the integrated approach of dollar-offset ratio and Data Envelopment Analysis (DEA), based on derivatives usage. It further analyses the efficiency measurement under stochastic DEA approaches, namely (i) Bootstrap DEA (BDEA), (ii) Sensitivity Analysis and (iii) Chance-Constrained DEA (CCDEA). As demonstrated in the modelling exercise, this integrated approach can be applied to other cases that require risk management efficiency measurement strategies. Additionally, this is the first book to comprehensively review the derivative markets of both the developed and developing countries in the Asia-Pacific region, by examining the differences of risk management efficiency of the banking institutions in these countries. Based on this measurement approach, strategies are provided for banks to improve their strategic risk management practices, as well as to reduce the impacts from external risks, such as changes in interest rates and exchange rates. Furthermore, this book will help banks to keep abreast of recent developments in the field of efficiency studies in management accounting, specifically in relation to hedge accounting, used by banks in the Asia-Pacific region.

The Known the Unknown and the Unknowable in Financial Risk Management

The Known  the Unknown  and the Unknowable in Financial Risk Management Book
Author : Francis X. Diebold,Neil A. Doherty,Richard J. Herring
Publisher : Princeton University Press
Release : 2010-04-19
ISBN : 1400835283
Language : En, Es, Fr & De

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Book Description :

A clear understanding of what we know, don't know, and can't know should guide any reasonable approach to managing financial risk, yet the most widely used measure in finance today--Value at Risk, or VaR--reduces these risks to a single number, creating a false sense of security among risk managers, executives, and regulators. This book introduces a more realistic and holistic framework called KuU --the K nown, the u nknown, and the U nknowable--that enables one to conceptualize the different kinds of financial risks and design effective strategies for managing them. Bringing together contributions by leaders in finance and economics, this book pushes toward robustifying policies, portfolios, contracts, and organizations to a wide variety of KuU risks. Along the way, the strengths and limitations of "quantitative" risk management are revealed. In addition to the editors, the contributors are Ashok Bardhan, Dan Borge, Charles N. Bralver, Riccardo Colacito, Robert H. Edelstein, Robert F. Engle, Charles A. E. Goodhart, Clive W. J. Granger, Paul R. Kleindorfer, Donald L. Kohn, Howard Kunreuther, Andrew Kuritzkes, Robert H. Litzenberger, Benoit B. Mandelbrot, David M. Modest, Alex Muermann, Mark V. Pauly, Til Schuermann, Kenneth E. Scott, Nassim Nicholas Taleb, and Richard J. Zeckhauser. Introduces a new risk-management paradigm Features contributions by leaders in finance and economics Demonstrates how "killer risks" are often more economic than statistical, and crucially linked to incentives Shows how to invest and design policies amid financial uncertainty

Risk Management and Shareholders Value in Banking

Risk Management and Shareholders  Value in Banking Book
Author : Andrea Sironi,Andrea Resti
Publisher : John Wiley & Sons
Release : 2007-04-30
ISBN : 9780470510735
Language : En, Es, Fr & De

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Book Description :

This book presents an integrated framework for risk measurement, capital management and value creation in banks. Moving from the measurement of the risks facing a bank, it defines criteria and rules to support a corporate policy aimed at maximizing shareholders' value. Parts I - IV discuss different risk types (including interest rate, market, credit and operational risk) and how to assess the amount of capital they absorb by means of up-to-date, robust risk-measurement models. Part V surveys regulatory capital requirements: a special emphasis is given to the Basel II accord, discussing its economic foundations and managerial implications. Part VI presents models and techniques to calibrate the amount of economic capital at risk needed by the bank, to fine-tune its composition, to allocate it to risk-taking units, to estimate the "fair" return expected by shareholders, to monitor the value creation process. Risk Management and Shareholders' Value in Banking includes: * Value at Risk, Monte Carlo models, Creditrisk+, Creditmetrics and much more * formulae for risk-adjusted loan pricing and risk-adjusted performance measurement * extensive, hands-on Excel examples are provided on the companion website www.wiley.com/go/rmsv * a complete, up-to-date introduction to Basel II * focus on capital allocation, Raroc, EVA, cost of capital and other value-creation metrics

Linear Models and Time Series Analysis

Linear Models and Time Series Analysis Book
Author : Marc S. Paolella
Publisher : Wiley
Release : 2018-11-28
ISBN : 1119431905
Language : En, Es, Fr & De

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Book Description :

A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH sets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series analysis (ARMAX and GARCH), and some multivariate models associated primarily with modeling financial asset returns (copula-based structures and the discrete mixed normal and Laplace). It builds on the author's previous book, Fundamental Statistical Inference: A Computational Approach, which introduced the major concepts of statistical inference. Attention is explicitly paid to application and numeric computation, with examples of Matlab code throughout. The code offers a framework for discussion and illustration of numerics, and shows the mapping from theory to computation. The topic of time series analysis is on firm footing, with numerous textbooks and research journals dedicated to it. With respect to the subject/technology, many chapters in Linear Models and Time-Series Analysis cover firmly entrenched topics (regression and ARMA). Several others are dedicated to very modern methods, as used in empirical finance, asset pricing, risk management, and portfolio optimization, in order to address the severe change in performance of many pension funds, and changes in how fund managers work. Covers traditional time series analysis with new guidelines Provides access to cutting edge topics that are at the forefront of financial econometrics and industry Includes latest developments and topics such as financial returns data, notably also in a multivariate context Written by a leading expert in time series analysis Extensively classroom tested Includes a tutorial on SAS Supplemented with a companion website containing numerous Matlab programs Solutions to most exercises are provided in the book Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH is suitable for advanced masters students in statistics and quantitative finance, as well as doctoral students in economics and finance. It is also useful for quantitative financial practitioners in large financial institutions and smaller finance outlets.

Shipping Derivatives and Risk Management

Shipping Derivatives and Risk Management Book
Author : A. Alizadeh,N. Nomikos
Publisher : Springer
Release : 2009-04-28
ISBN : 0230235808
Language : En, Es, Fr & De

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Book Description :

A comprehensive book on shipping derivatives and risk management which covers the theoretical and practical aspects of financial risk in shipping. The book provides a thorough overview of the practice of risk management in shipping with the use of theoretical examples and real-life applications.

Essential Mathematics for Market Risk Management

Essential Mathematics for Market Risk Management Book
Author : Simon Hubbert
Publisher : John Wiley & Sons
Release : 2012-01-17
ISBN : 1119979528
Language : En, Es, Fr & De

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Book Description :

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.

Management of Foreign Exchange Risk

Management of Foreign Exchange Risk Book
Author : Y. C. Lum,Sardar M. N. Islam
Publisher : Routledge
Release : 2020-09-02
ISBN : 1000172546
Language : En, Es, Fr & De

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Book Description :

This book provides a technical and specialised discussion of contemporary and emerging issues in foreign exchange and financial markets by addressing the issues of risk management and theory and hypothesis development, which have general implications for finance theory and foreign exchange market management. It offers an in-depth, comprehensive analysis of the issues concerning the volatility of exchange rates. The book has three main objectives. First, it applies the integrated study of exchange rate volatility in terms of depth and breadth. Second, it applies the integrated study of exchange rate volatility in Malaysia, as a case study of a developing country. Malaysia had imposed capital control measures in the past and has now liberalised its exchange rate market and will continue to liberalise it further in the long run. Hence, the need to understand exchange rate volatility measurement and management will be even more important in the future. Third, the book highlights new conditional volatility models for a developing country, such as Malaysia, and develops advanced econometric models which have produced results for sound risk management strategies and for achieving risk management in the financial market and the economy. Additionally, the authors recommend risk management themes which may be of relevance to other developing countries. This work can be used as a reference book by fund managers, financial market analysts, researchers, academics, practitioners, policy makers and postgraduate students in the areas of finance, accounting, business and financial economics. It can also be a supplementary text for Ph.D. and Masters’ students in these areas.

Sustainability and Financial Risks

Sustainability and Financial Risks Book
Author : Marco Migliorelli,Philippe Dessertine
Publisher : Springer Nature
Release : 2020-09-17
ISBN : 303054530X
Language : En, Es, Fr & De

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Book Description :

Despite growing discussions on the relationship between sustainability and finance, so far little attention has been given to the relation linking sustainability-related risks and financial risks. Climate change, environmental degradation and social inequality, among others factors, may indeed have considerable adverse impacts on financial actors and markets, and even have the potential to harm financial stability. Shedding light on the importance of the nexus between sustainability and financial risks, this book addresses the need for new industry and policy approaches. With insights from a skilled set of scholars in the finance field, this edited collection explores the effects of climate risks on the banking and insurance industries, the problem of stranded assets, the possible corporate risk management frameworks that could be used to control sustainability-related risks, the role of non-financial disclosure in fostering market discipline, and the policy actions needed to integrate sustainability considerations into prudential supervision. Tackling an interdisciplinary topic, this book will appeal to academics and practitioners within the finance, business and sustainability fields.

Mathematical Finance A Very Short Introduction

Mathematical Finance  A Very Short Introduction Book
Author : Mark H. A. Davis
Publisher : Oxford University Press
Release : 2019-01-17
ISBN : 0191092037
Language : En, Es, Fr & De

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Book Description :

In recent years the finance industry has mushroomed to become an important part of modern economies, and many science and engineering graduates have joined the industry as quantitative analysts, with mathematical and computational skills that are needed to solve complex problems of asset valuation and risk management. An important parallel story exists of scientific endeavour. Between 1965-1995, insightful ideas in economics about asset valuation were turned into a mathematical 'theory of arbitrage', an enterprise whose first achievement was the famous 1973 Black-Scholes formula, followed by extensive investigations using all the resources of modern analysis and probability. The growth of the finance industry proceeded hand-in-hand with these developments. Now new challenges arise to deal with the fallout from the 2008 financial crisis and to take advantage of new technology, which has revolutionized the practice of trading. This Very Short Introduction introduces readers with no previous background in this area to arbitrage theory and why it works the way it does. Illuminating pricing theory, Mark Davis explains its applications to interest rates, credit trading, fund management and risk management. He concludes with a survey of the most pressing issues in mathematical finance today. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

The importance of being informed Forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades

The importance of being informed  Forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades Book
Author : Dean Fantazzini,Tamara Shangina
Publisher : Litres
Release : 2019-11-13
ISBN : 5042017135
Language : En, Es, Fr & De

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Book Description :

This paper focuses on the forecasting of market risk measures for the Russian RTS index future, and examines whether augmenting a large class of volatility models with implied volatility and Google Trends data improves the quality of the estimated risk measures. We considered a time sample of daily data from 2006 till 2019, which includes several episodes of large-scale turbulence in the Russian future market. We found that the predictive power of several models did not increase if these two variables were added, but actually decreased.The worst results were obtained when these two variables were added jointly and during periods of high volatility, when parameters estimates became very unstable. Moreover, several models augmented with these variables did not reach numerical convergence. Our empirical evidence shows that, in the case of Russian future markets, TGARCH models with implied volatility and Student’s t errors are better choices if robust market risk measures are of concern.

Handbook of Economic Forecasting

Handbook of Economic Forecasting Book
Author : Graham Elliott,Allan Timmermann
Publisher : Elsevier
Release : 2013-10-24
ISBN : 0444627413
Language : En, Es, Fr & De

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Book Description :

The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. Focuses on innovation in economic forecasting via industry applications Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications Makes details about economic forecasting accessible to scholars in fields outside economics