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The Econometrics of Financial Markets

The Econometrics of Financial Markets
Author: John Y. Campbell
Publisher: Princeton University Press
Total Pages: 630
Release: 2012-06-28
Genre: Business & Economics
ISBN: 1400830214

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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.


The Econometrics of Financial Markets

The Econometrics of Financial Markets
Author: John Y. Campbell
Publisher: Princeton University Press
Total Pages: 632
Release: 1997
Genre: Business & Economics
ISBN: 0691043019

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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.


The Elements of Financial Econometrics

The Elements of Financial Econometrics
Author: Jianqing Fan
Publisher: Cambridge University Press
Total Pages: 394
Release: 2017-03-23
Genre: Business & Economics
ISBN: 1107191173

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A compact, master's-level textbook on financial econometrics, focusing on methodology and including real financial data illustrations throughout. The mathematical level is purposely kept moderate, allowing the power of the quantitative methods to be understood without too much technical detail.


Financial Econometrics

Financial Econometrics
Author: Oliver Linton
Publisher: Cambridge University Press
Total Pages: 585
Release: 2019-02-21
Genre: Business & Economics
ISBN: 1107177154

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Presents an up-to-date treatment of the models and methodologies of financial econometrics by one of the world's leading financial econometricians.


The Economics of Financial Markets

The Economics of Financial Markets
Author: Hendrik S. Houthakker
Publisher: Oxford University Press, USA
Total Pages: 376
Release: 1996
Genre: Business & Economics
ISBN: 019504407X

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Providing a comprehensive introduction to the subject of financial markets, this study includes unique analyses of the pricing of options and futures, particularly futures in Eurodollars. The authors assume a basic understanding of economics.


Econometrics of Financial High-Frequency Data

Econometrics of Financial High-Frequency Data
Author: Nikolaus Hautsch
Publisher: Springer Science & Business Media
Total Pages: 381
Release: 2011-10-12
Genre: Business & Economics
ISBN: 364221925X

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The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing popularity of high-frequency econometrics is driven by technological progress in trading systems and an increasing importance of intraday trading, liquidity risk, optimal order placement as well as high-frequency volatility. This book provides a state-of-the art overview on the major approaches in high-frequency econometrics, including univariate and multivariate autoregressive conditional mean approaches for different types of high-frequency variables, intensity-based approaches for financial point processes and dynamic factor models. It discusses implementation details, provides insights into properties of high-frequency data as well as institutional settings and presents applications to volatility and liquidity estimation, order book modelling and market microstructure analysis.


Theory and Econometrics of Financial Asset Pricing

Theory and Econometrics of Financial Asset Pricing
Author: Kian Guan Lim
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 345
Release: 2022-08-22
Genre: Business & Economics
ISBN: 3110674017

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This book will provide a firm foundation in the understanding of financial economics applied to asset pricing. It carries the real world perspective of how the market works, including behavioral biases, and also wraps that understanding in the context of a rigorous economics framework of investors’ risk preferences, underlying price dynamics, rational choice in the large, and market equilibrium other than inexplicable irrational bubbles. It concentrates on analyses of stock, credit, and option pricing. Existing highly cited finance models in pricing of these assets are covered in detail, and theory is accompanied by rigorous applications of econometrics. Econometrics contain elucidations of both the statistical theory as well as the practice of data analyses. Linear regression methods and some nonlinear methods are also covered. The contribution of this book, and at the same time, its novelty, is in employing materials in probability theory, economics optimization, econometrics, and data analyses together to provide a rigorous and sharp intellect for investment and financial decision-making. Mistakes are often made with far too often sweeping pragmatism without deeply knowing the underpinnings of how the market economics works. This book is written at a level that is both academically rigorous for university courses in investment, derivatives, risk management, as well as not too mathematically deep so that finance and banking graduate professionals can have a real journey into the frontier financial economics thinking and rigorous data analytical findings.


Finance and Financial Markets

Finance and Financial Markets
Author: Keith Pilbeam
Publisher: Bloomsbury Publishing
Total Pages: 786
Release: 2018-03-25
Genre: Business & Economics
ISBN: 1350304921

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This popular textbook offers a broad and accessible introduction to the building blocks of modern finance: financial markets, institutions and instruments. Focussing on the core elements of the subject, the author blends theory with real-life data, cases and numerical worked examples, linking the material to practice at just the right level of technical complexity. This new edition has updated data and cases throughout, ensuring that it is as up-to-date as possible in this fast-moving area. More assessment and self-test resources have been added to the book to help support students and lecturers. It is ideally suited to students at all levels who take economics, business and finance courses, as well as for those who want to understand the workings of the modern financial world. New to this Edition: - New case studies, including coverage of the Libor and foreign exchange rigging scandals, Bitcoin, the FinTech revolution and issues raised by Brexit - Fully updated data and relevant numerical examples - Coverage of derivatives such as futures, options and swaps - Extensive discussion of regulatory developments since the financial crisis - A companion website featuring teaching resources is available


Financial Econometrics

Financial Econometrics
Author: Peijie Wang
Publisher: Routledge
Total Pages: 196
Release: 2005-08-16
Genre: Business & Economics
ISBN: 113459111X

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This book which provides an overview of contemporary topics related to the modelling of financial time series, is set against a backdrop of rapid expansions of interest in both the models themselves and the financial problems to which they are applied. This excellent textbook covers all the major developments in the area in recent years in an informative as well as succinct way. Refreshingly, every chapter has a section of two or more examples and a section of empirical literature, offering the reader the opportunity to practice the kind of research going on in the area. This approach helps the reader develop interest, confidence and momentum in learning contemporary econometric topics


Statistics of Financial Markets

Statistics of Financial Markets
Author: Szymon Borak
Publisher: Springer Science & Business Media
Total Pages: 266
Release: 2013-01-11
Genre: Business & Economics
ISBN: 3642339298

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Practice makes perfect. Therefore the best method of mastering models is working with them. This book contains a large collection of exercises and solutions which will help explain the statistics of financial markets. These practical examples are carefully presented and provide computational solutions to specific problems, all of which are calculated using R and Matlab. This study additionally looks at the concept of corresponding Quantlets, the name given to these program codes and which follow the name scheme SFSxyz123. The book is divided into three main parts, in which option pricing, time series analysis and advanced quantitative statistical techniques in finance is thoroughly discussed. The authors have overall successfully created the ideal balance between theoretical presentation and practical challenges.