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Handbook Of Financial Econometrics Tools And Techniques

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Handbook of Financial Econometrics

Handbook of Financial Econometrics Book
Author : Yacine Ait-Sahalia,Lars Peter Hansen
Publisher : Elsevier
Release : 2009-10-19
ISBN : 9780080929842
Language : En, Es, Fr & De

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Book Description :

This collection of original articles—8 years in the making—shines a bright light on recent advances in financial econometrics. From a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment, noted scholars Yacine Aït-Sahalia and Lars Peter Hansen benchmark the current state of knowledge while contributors build a framework for its growth. Whether in the presence of statistical uncertainty or the proven advantages and limitations of value at risk models, readers will discover that they can set few constraints on the value of this long-awaited volume. Presents a broad survey of current research—from local characterizations of the Markov process dynamics to financial market trading activity Contributors include Nobel Laureate Robert Engle and leading econometricians Offers a clarity of method and explanation unavailable in other financial econometrics collections

Handbook of Financial Econometrics

Handbook of Financial Econometrics Book
Author : Yacine Aït-Sahalia,Lars Peter Hansen
Publisher : Unknown
Release : 2010
ISBN : 9780444535542
Language : En, Es, Fr & De

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Book Description :

Vol 1 covers fundamental econometric techniques and tools on recent advances in financial econometrics. Parametric and nonparametric, in continuous time and discrete time, these techniques and tools include Markov processes, a system for categorizing volatility concepts, a simulated method of moments indicator, and models for the timing of events. Together they reveal the ways that local characterizations can lead to long-run implications and how relationships between observed and unobserved values can be inferred. Vol 2 covers important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing, bond yields, and the management, supervision, and measurement of extreme and infrequent risks. Yet their treatments are exceptional, drawing on current data and evidence to reflect recent events and scholarship. This set is the collection of Volumes 1 & 2. Its contributors include Nobel Laureate Robert Engle and leading econometricians. It offers a clarity of method and explanation unavailable in other financial econometrics collections.

Handbook of Financial Econometrics Mathematics Statistics and Machine Learning in 4 Volumes

Handbook of Financial Econometrics  Mathematics  Statistics  and Machine Learning  in 4 Volumes  Book
Author : Cheng-Few Lee,John C. Lee,Alice C. Lee
Publisher : World Scientific Publishing Company
Release : 2020
ISBN : 9789811202384
Language : En, Es, Fr & De

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Book Description :

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Handbook of Financial Econometrics

Handbook of Financial Econometrics Book
Author : Yacine Ait-Sahalia,Lars Peter Hansen
Publisher : Elsevier
Release : 2009-10-21
ISBN : 9780444535498
Language : En, Es, Fr & De

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Book Description :

Applied financial econometrics subjects are featured in this second volume, with papers that survey important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing, bond yields, and the management, supervision, and measurement of extreme and infrequent risks. Yet their treatments are exceptional, drawing on current data and evidence to reflect recent events and scholarship. A landmark in its coverage, this volume should propel financial econometric research for years. Presents a broad survey of current research Contributors are leading econometricians Offers a clarity of method and explanation unavailable in other financial econometrics collections

Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes

Handbook Of Financial Econometrics  Mathematics  Statistics  And Machine Learning  In 4 Volumes  Book
Author : Cheng-few Lee,John C Lee
Publisher : World Scientific
Release : 2020-07-30
ISBN : 9811202400
Language : En, Es, Fr & De

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Book Description :

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Handbook of Financial Econometrics Mathematics Statistics and Machine Learning

Handbook of Financial Econometrics  Mathematics  Statistics  and Machine Learning Book
Author : Anonim
Publisher : Unknown
Release : 2021
ISBN : 9789811202445
Language : En, Es, Fr & De

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Book Description :

"This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts. In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook. Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience"-- Provided by publisher.

Handbook of Research on Emerging Theories Models and Applications of Financial Econometrics

Handbook of Research on Emerging Theories  Models  and Applications of Financial Econometrics Book
Author : Burcu Adıgüzel Mercangöz
Publisher : Springer Nature
Release : 2021-03-21
ISBN : 3030541088
Language : En, Es, Fr & De

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Book Description :

This handbook presents emerging research exploring the theoretical and practical aspects of econometric techniques for the financial sector and their applications in economics. By doing so, it offers invaluable tools for predicting and weighing the risks of multiple investments by incorporating data analysis. Throughout the book the authors address a broad range of topics such as predictive analysis, monetary policy, economic growth, systemic risk and investment behavior. This book is a must-read for researchers, scholars and practitioners in the field of economics who are interested in a better understanding of current research on the application of econometric methods to financial sector data.

Efficiency in Business and Economics

Efficiency in Business and Economics Book
Author : Tadeusz Dudycz,Grażyna Osbert-Pociecha,Bogumiła Brycz
Publisher : Springer
Release : 2017-12-29
ISBN : 3319682857
Language : En, Es, Fr & De

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Book Description :

This volume offers a collection of studies on problem of organization’s efficiency, criteria for evaluating the efficiency, tools and methods for measuring the efficiency. The articles included present an interdisciplinary look at efficiency, its essence and the principles of its measurement. The contributions also identify a broad spectrum of conditions for achieving efficiency in various types of organizations and systems (e.g. public institution, non-profit organizations), representing various industries. The book collects selected papers presented at the 7th International Conference "Efficiency as a Source of the Wealth of Nations", held in Wrocław, Poland, in May 2017.

Handbook of Financial Risk Management

Handbook of Financial Risk Management Book
Author : Ngai Hang Chan,Hoi Ying Wong
Publisher : John Wiley & Sons
Release : 2013-06-17
ISBN : 1118573544
Language : En, Es, Fr & De

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Book Description :

An authoritative handbook on risk management techniques and simulations as applied to financial engineering topics, theories, and statistical methodologies The Handbook of Financial Risk Management: Simulations and Case Studies illustrates the practical implementation of simulation techniques in the banking and financial industries through the use of real-world applications. Striking a balance between theory and practice, the Handbook of Financial Risk Management: Simulations and Case Studies demonstrates how simulation algorithms can be used to solve practical problems and showcases how accuracy and efficiency in implementing various simulation methods are indispensable tools in risk management. The book provides the reader with an intuitive understanding of financial risk management and deepens insight into those financial products that cannot be priced traditionally. The Handbook of Financial Risk Management also features: Examples in each chapter derived from consulting projects, current research, and course instruction Topics such as volatility, fixed-income derivatives, LIBOR Market Models, and risk measures Over twenty-four recognized simulation models Commentary, data sets, and computer subroutines available on a chapter-by-chapter basis As a complete reference for practitioners, the book is useful in the fields of finance, business, applied statistics, econometrics, and engineering. The Handbook of Financial Risk Management is also an excellent text or supplement for graduate and MBA-level students in courses on financial risk management and simulation.

Financial Microeconometrics

Financial Microeconometrics Book
Author : Marek Gruszczyński
Publisher : Springer Nature
Release : 2019-11-23
ISBN : 3030342190
Language : En, Es, Fr & De

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Book Description :

This book explores new topics in modern research on empirical corporate finance and applied accounting, especially the econometric analysis of microdata. Dubbed “financial microeconometrics” by the author, this concept unites both methodological and applied approaches. The book examines how quantitative methods can be applied in corporate finance and accounting research in order to predict companies getting into financial distress. Presented in a clear and straightforward manner, it also suggests methods for linking corporate governance to financial performance, and discusses what the determinants of accounting disclosures are. Exploring these questions by way of numerous practical examples, this book is intended for researchers, practitioners and students who are not yet familiar with the variety of approaches available for data analysis and microeconometrics. “This book on financial microeconometrics is an excellent starting point for research in corporate finance and accounting. In my view, the text is positioned between a narrative and a scientific treatise. It is based on a vast amount of literature but is not overloaded with formulae. My appreciation of financial microeconometrics has very much increased. The book is well organized and properly written. I enjoyed reading it.” Wolfgang Marty, Senior Investment Strategist, AgaNola AG

Handbook of High Frequency Trading and Modeling in Finance

Handbook of High Frequency Trading and Modeling in Finance Book
Author : Maria C. Mariani,H. Eugene Stanley
Publisher : John Wiley & Sons
Release : 2016-04-25
ISBN : 1118443985
Language : En, Es, Fr & De

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Book Description :

Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a presentation of the dynamics and complexity of futures and derivatives markets as well as a portfolio optimization problem using quantum computers. Subsequently, the handbook addresses estimating complex model parameters using high-frequency data. Finally, the handbook focuses on the links between models used in financial markets and models used in other research areas such as geophysics, fossil records, and earthquake studies. The Handbook of High-Frequency Trading and Modeling in Finance also features: • Contributions by well-known experts within the academic, industrial, and regulatory fields • A well-structured outline on the various data analysis methodologies used to identify new trading opportunities • Newly emerging quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump processes for limit-order books and broader market indicators; and options markets • Practical applications using real-world data to help readers better understand the presented material The Handbook of High-Frequency Trading and Modeling in Finance is an excellent reference for professionals in the fields of business, applied statistics, econometrics, and financial engineering. The handbook is also a good supplement for graduate and MBA-level courses on quantitative finance, volatility, and financial econometrics. Ionut Florescu, PhD, is Research Associate Professor in Financial Engineering and Director of the Hanlon Financial Systems Laboratory at Stevens Institute of Technology. His research interests include stochastic volatility, stochastic partial differential equations, Monte Carlo Methods, and numerical methods for stochastic processes. Dr. Florescu is the author of Probability and Stochastic Processes, the coauthor of Handbook of Probability, and the coeditor of Handbook of Modeling High-Frequency Data in Finance, all published by Wiley. Maria C. Mariani, PhD, is Shigeko K. Chan Distinguished Professor in Mathematical Sciences and Chair of the Department of Mathematical Sciences at The University of Texas at El Paso. Her research interests include mathematical finance, applied mathematics, geophysics, nonlinear and stochastic partial differential equations and numerical methods. Dr. Mariani is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley. H. Eugene Stanley, PhD, is William Fairfield Warren Distinguished Professor at Boston University. Stanley is one of the key founders of the new interdisciplinary field of econophysics, and has an ISI Hirsch index H=128 based on more than 1200 papers. In 2004 he was elected to the National Academy of Sciences. Frederi G. Viens, PhD, is Professor of Statistics and Mathematics and Director of the Computational Finance Program at Purdue University. He holds more than two dozen local, regional, and national awards and he travels extensively on a world-wide basis to deliver lectures on his research interests, which range from quantitative finance to climate science and agricultural economics. A Fellow of the Institute of Mathematics Statistics, Dr. Viens is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley.

Handbook of Fixed Income Securities

Handbook of Fixed Income Securities Book
Author : Pietro Veronesi
Publisher : John Wiley & Sons
Release : 2016-04-04
ISBN : 1118709195
Language : En, Es, Fr & De

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Book Description :

A comprehensive guide to the current theories and methodologies intrinsic to fixed-income securities Written by well-known experts from a cross section of academia and finance, Handbook of Fixed-Income Securities features a compilation of the most up-to-date fixed-income securities techniques and methods. The book presents crucial topics of fixed income in an accessible and logical format. Emphasizing empirical research and real-life applications, the book explores a wide range of topics from the risk and return of fixed-income investments, to the impact of monetary policy on interest rates, to the post-crisis new regulatory landscape. Well organized to cover critical topics in fixed income, Handbook of Fixed-Income Securities is divided into eight main sections that feature: • An introduction to fixed-income markets such as Treasury bonds, inflation-protected securities, money markets, mortgage-backed securities, and the basic analytics that characterize them • Monetary policy and fixed-income markets, which highlight the recent empirical evidence on the central banks’ influence on interest rates, including the recent quantitative easing experiments • Interest rate risk measurement and management with a special focus on the most recent techniques and methodologies for asset-liability management under regulatory constraints • The predictability of bond returns with a critical discussion of the empirical evidence on time-varying bond risk premia, both in the United States and abroad, and their sources, such as liquidity and volatility • Advanced topics, with a focus on the most recent research on term structure models and econometrics, the dynamics of bond illiquidity, and the puzzling dynamics of stocks and bonds • Derivatives markets, including a detailed discussion of the new regulatory landscape after the financial crisis and an introduction to no-arbitrage derivatives pricing • Further topics on derivatives pricing that cover modern valuation techniques, such as Monte Carlo simulations, volatility surfaces, and no-arbitrage pricing with regulatory constraints • Corporate and sovereign bonds with a detailed discussion of the tools required to analyze default risk, the relevant empirical evidence, and a special focus on the recent sovereign crises A complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, Handbook of Fixed-Income Securities is also a useful supplementary textbook for graduate and MBA-level courses on fixed-income securities, risk management, volatility, bonds, derivatives, and financial markets. Pietro Veronesi, PhD, is Roman Family Professor of Finance at the University of Chicago Booth School of Business, where he teaches Masters and PhD-level courses in fixed income, risk management, and asset pricing. Published in leading academic journals and honored by numerous awards, his research focuses on stock and bond valuation, return predictability, bubbles and crashes, and the relation between asset prices and government policies.

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.

Financial Statistics and Data Analytics

Financial Statistics and Data Analytics Book
Author : Shuangzhe Li,Milind Sathye
Publisher : MDPI
Release : 2021-03-02
ISBN : 3039439758
Language : En, Es, Fr & De

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Book Description :

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.

Handbook Of Global Financial Markets Transformations Dependence And Risk Spillovers

Handbook Of Global Financial Markets  Transformations  Dependence  And Risk Spillovers Book
Author : Boubaker Sabri,Nguyen Duc Khuong
Publisher : World Scientific
Release : 2019-06-27
ISBN : 9813236663
Language : En, Es, Fr & De

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Book Description :

The objective of this handbook is to provide the readers with insights about current dynamics and future potential transformations of global financial markets. We intend to focus on four main areas: Dynamics of Financial Markets; Financial Uncertainty and Volatility; Market Linkages and Spillover Effects; and Extreme Events and Financial Transformations and address the following critical issues, but not limited to: market integration and its implications; crisis risk assessment and contagion effects; financial uncertainty and volatility; role of emerging financial markets in the global economy; role of complex dynamics of economic and financial systems; market linkages, asset valuation and risk management; exchange rate volatility and firm-level exposure; financial effects of economic, political and social risks; link between financial development and economic growth; country risks; and sovereign debt markets.

Contemporary Topics in Finance

Contemporary Topics in Finance Book
Author : Iris Claus,Leo Krippner
Publisher : John Wiley & Sons
Release : 2019-03-07
ISBN : 1119565189
Language : En, Es, Fr & De

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Book Description :

The literature surveys presented in this edited volume provide readers with up-to-date reviews on eleven contemporary topics in finance. Topics include unconventional monetary policy, implicit bank guarantees, and financial fraud - all linked to the exceptional event of the Global Financial Crisis Explores how recent studies on inflation risk premia and finance and productivity have benefitted from new empirical methods and the availability of relevant data Demonstrates how angel investing, venture capital, relationship lending and microfinance have benefitted from increased research as they have become more seasoned Investigates crowdfunding and crypto-currencies which have both arisen from recent technological developments

Applied Quantitative Methods in Finance

Applied Quantitative Methods in Finance          Book
Author : Kaveh Sheibani
Publisher : ORLAB Analytics
Release : 2014-12-31
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Quantitative methods in finance form a wide research field which addresses many different problems and practical applications. The papers of this special issue, however, all contribute to one of the core application areas in finance: investment decisions. In doing so, they apply a variety of methodological approaches and address different aspects of the overall investment decision. But they share both a very practical perspective and the direct empirical verification of the given proposals.

New Methods in Fixed Income Modeling

New Methods in Fixed Income Modeling Book
Author : Mehdi Mili,Reyes Samaniego Medina,Filippo di Pietro
Publisher : Springer
Release : 2018-08-18
ISBN : 3319952854
Language : En, Es, Fr & De

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Book Description :

This book presents new approaches to fixed income modeling and portfolio management techniques. Taking into account the latest mathematical and econometric developments in finance, it analyzes the hedging securities and structured instruments that are offered by banks, since recent research in the field of fixed incomes and financial markets has raised awareness for changes in market risk management strategies. The book offers a valuable resource for all researchers and practitioners interested in the theory behind fixed income instruments, and in their applications in financial portfolio management.

Handbook of Financial Risk Management

Handbook of Financial Risk Management Book
Author : Ngai Hang Chan,Hoi Ying Wong
Publisher : John Wiley & Sons
Release : 2013-07-10
ISBN : 0470647159
Language : En, Es, Fr & De

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Book Description :

This authoritative handbook illustrates practical implementation of simulation techniques in the banking and financial industries through use of real-world, time-sensitive applications. Striking a balance between theory and practice, it demonstrates how simulation algorithms can be used to solve practical problems and showcases how accuracy and efficiency in implementing various simulation methods can be used as indispensable tools in risk management. It also covers topics such as volatility, fixed-income derivatives, LIBOR Market Models, risk measures, and includes over two-dozen recognized simulation models.

Econophysics and Financial Economics

Econophysics and Financial Economics Book
Author : Franck Jovanovic,Christophe Schinckus
Publisher : Oxford University Press
Release : 2016-12-29
ISBN : 0190205032
Language : En, Es, Fr & De

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Book Description :

What is econophysics? What makes an econophysicist? Why are financial economists reluctant to use results from econophysics? Can we overcome disputes concerning hypotheses used in financial economics and that make no sense for econophysicists? How can we create a profitable dialogue betweenfinancial economists and econophysicists? How do we develop a common theoretical framework allowing the creation of more efficient models for the financial industry? This book moves beyond the disciplinary frontiers in order to initiate the development of a common theoretical framework that makes sense for both traditionally trained financial economists and econophysicists. Unlike other publications dedicated to econophysics, this book is written by twofinancial economists and it situates econophysics in the evolution of financial economics. The major issues that concern the collaboration between the two fields are analyzed in detail. More specifically, this book explains the theoretical and methodological foundations of these two fields in anaccessible vocabulary providing the first extensive analytic comparison between models and results from both fields. The book also identifies the major conceptual gate-keepers that complicate dialogue between the two communities while it provides elements to overcome them. By mixing conceptual, historical, theoretical and formal arguments our analysis bridges the current deaf dialogue between financial economists and econophysicists. This book details the recent results in econophysics that bring it closer to financial economics. So doing, it identifies what remainsto be done for econophysicists to contribute significantly to financial economics. Beyond the clarification of the current situation, this book also proposes a generic model compatible with the two fields, defining minimal conditions for common models. Finally, this book provides a research agendafor a more fruitful collaboration between econophysicists and financial economists, creating new research opportunities. In this perspective, it lays the foundations for common theoretical framework and models.