April 13, 2021

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Forecasting Expected Returns in the Financial Markets

Forecasting Expected Returns in the Financial Markets
Author : Stephen Satchell
Publisher : Elsevier
Release Date : 2011-04-08
Category : Business & Economics
Total pages :304
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Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques. *Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives

Forecasting Expected Returns in the Financial Markets

Forecasting Expected Returns in the Financial Markets
Author : Stephen Satchell
Publisher : Elsevier
Release Date : 2011-04-08
Category : Business & Economics
Total pages :304
GET BOOK

Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques. *Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives

Financial Modeling of the Equity Market

Financial Modeling of the Equity Market
Author : Frank J. Fabozzi,Sergio M. Focardi,Petter N. Kolm
Publisher : John Wiley & Sons
Release Date : 2006-03-31
Category : Business & Economics
Total pages :651
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An inside look at modern approaches to modeling equity portfolios Financial Modeling of the Equity Market is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It covers both static and dynamic factor analysis, regime shifts, long-run modeling, and cointegration. Estimation issues, including dimensionality reduction, Bayesian estimates, the Black-Litterman model, and random coefficient models, are also covered in depth. Important advances in transaction cost measurement and modeling, robust optimization, and recent developments in optimization with higher moments are also discussed. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm, The Intertek Group. He is a member of the editorial board of the Journal of Portfolio Management. He is also the author of numerous articles and books on financial modeling. Petter N. Kolm, PhD (New Haven, CT and New York, NY), is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. Previously, he worked in the Quantitative Strategies Group of Goldman Sachs Asset Management, where he developed quantitative investment models and strategies.

Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets
Author : Stephen Satchell,John Knight
Publisher : Elsevier
Release Date : 2011-02-24
Category : Business & Economics
Total pages :432
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This new edition of Forecasting Volatility in the Financial Markets assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition: * What good is a volatility model? Engle and Patton * Applications for portfolio variety Dan diBartolomeo * A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish * Volatility modeling and forecasting in finance Xiao and Aydemir * An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey * Leading thinkers present newest research on volatility forecasting *International authors cover a broad array of subjects related to volatility forecasting *Assumes basic knowledge of volatility, financial mathematics, and modelling

Portfolio Structuring and the Value of Forecasting

Portfolio Structuring and the Value of Forecasting
Author : Jacques Lussier,Andrew Ang,Mark Carhart,Craig Bodenstab,Philip E. Tetlock,Warren Hatch,David Rapach
Publisher : CFA Institute Research Foundation
Release Date : 2016-10-10
Category : Business & Economics
Total pages :36
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A Practical Guide to Forecasting Financial Market Volatility

A Practical Guide to Forecasting Financial Market Volatility
Author : Ser-Huang Poon
Publisher : John Wiley & Sons
Release Date : 2005-08-19
Category : Business & Economics
Total pages :236
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Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment, option pricing, and financial market regulation. While many books address financial market modelling, no single book is devoted primarily to the exploration of volatility forecasting and the practical use of forecasting models. A Practical Guide to Forecasting Financial Market Volatility provides practical guidance on this vital topic through an in-depth examination of a range of popular forecasting models. Details are provided on proven techniques for building volatility models, with guide-lines for actually using them in forecasting applications.

Financial Risk Forecasting

Financial Risk Forecasting
Author : Jon Danielsson
Publisher : John Wiley & Sons
Release Date : 2011-04-20
Category : Business & Economics
Total pages :296
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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.

Financial Markets and the Real Economy

Financial Markets and the Real Economy
Author : John Howland Cochrane
Publisher : Now Publishers Inc
Release Date : 2005
Category : Business & Economics
Total pages :103
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Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.

Expected Returns

Expected Returns
Author : Antti Ilmanen
Publisher : John Wiley & Sons
Release Date : 2011-04-20
Category : Business & Economics
Total pages :352
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This comprehensive reference delivers a toolkit for harvesting market rewards from a wide range of investments. Written by a world-renowned industry expert, the reference discusses how to forecast returns under different parameters. Expected returns of major asset classes, investment strategies, and the effects of underlying risk factors such as growth, inflation, liquidity, and different risk perspectives, are also explained. Judging expected returns requires balancing historical returns with both theoretical considerations and current market conditions. Expected Returns provides extensive empirical evidence, surveys of risk-based and behavioral theories, and practical insights.

Advances in Financial Planning and Forecasting (New Series) Vol.8

Advances in Financial Planning and Forecasting (New Series) Vol.8
Author : Cheng F. Lee,Shih-Ti Yu,Bing-Huei Lin
Publisher : Center for PBBEFR & Airiti Press
Release Date : 2017-01-01
Category : Business & Economics
Total pages :129
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Advances in Financial Planning and Froecasting (New Series) is an annual publication designed to disseminate developments in the area of financial analysis, planning, and forecasting. The publication is a froum for statistical, quantitative, and accounting analyses of issues in financial analysis and planning in terms of finance, accounting, and economic data.

Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets
Author : Stephen Satchell,John Knight
Publisher : Elsevier
Release Date : 2011-02-24
Category : Business & Economics
Total pages :432
GET BOOK

This new edition of Forecasting Volatility in the Financial Markets assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition: * What good is a volatility model? Engle and Patton * Applications for portfolio variety Dan diBartolomeo * A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish * Volatility modeling and forecasting in finance Xiao and Aydemir * An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey * Leading thinkers present newest research on volatility forecasting *International authors cover a broad array of subjects related to volatility forecasting *Assumes basic knowledge of volatility, financial mathematics, and modelling

Learning to Forecast in the Laboratory and in Financial Markets

Learning to Forecast in the Laboratory and in Financial Markets
Author : Hugh E. McWilliams-Kelley
Publisher : Unknown
Release Date : 1998
Category : Decision making
Total pages :236
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The Econometrics of Financial Markets

The Econometrics of Financial Markets
Author : John Y. Campbell,Andrew W. Lo,A. Craig MacKinlay
Publisher : Princeton University Press
Release Date : 2012-06-28
Category : Business & Economics
Total pages :632
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The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.

Financial Markets and Institutions

Financial Markets and Institutions
Author : Frederic S. Mishkin,Stanley G. Eakins
Publisher : Addison-Wesley Longman
Release Date : 1998
Category : Banks and banking
Total pages :668
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This text uses a few basic economic principles and a unifying framework to organize students' thinking. It contains coverage of the regulation and supervision of markets and Inside the Fed boxes give students insight into the Federal Reserve Bank of New York.

Forecasting Financial Markets

Forecasting Financial Markets
Author : Dunis
Publisher : John Wiley & Sons Incorporated
Release Date : 1996-10-07
Category : Business & Economics
Total pages :292
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Today? s financial markets are characterised by a large number of participants, with different appetites for risk, different time horizons, different motivations and reactions to unexpected news. The mathematical techniques and models used in the forecasting of financial markets have therefore grown ever more sophisticated as traders, analysts and investors seek to gain an edge on their competitors. Written by leading international researchers and practitioners, this book focuses on three major themes of today? s state of the art financial research: modelling with high frequency data, the information content of volatility markets, and applications of neural networks and genetic algorithms to financial time series. Forecasting Financial Markets includes empirical applications to present the very latest thinking on these complex techniques, including: High frequency exchange rates Intraday volatility Autocorrelation and variance ratio tests Conditional volatility GARCH processes Chaotic systems Nonlinearity Stochastic and EXPAR models Artificial neural networks Genetic algorithms