Handbook Of Research On Emerging Theories Models And Applications Of Financial Econometrics

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Handbook Of Research On Emerging Theories Models And Applications Of Financial Econometrics

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Author : Burcu Adıgüzel Mercangöz
language : en
Publisher: Springer Nature
Release Date : 2021-02-17

Handbook Of Research On Emerging Theories Models And Applications Of Financial Econometrics written by Burcu Adıgüzel Mercangöz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Business & Economics categories.

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.

Handbook Of Research On Emerging Theories Models And Applications Of Financial Econometrics

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Author : Burcu Adıgüzel Mercangöz
language : en
Publisher:
Release Date : 2021

Handbook Of Research On Emerging Theories Models And Applications Of Financial Econometrics written by Burcu Adıgüzel Mercangöz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

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.

Applied Financial Econometrics

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Author : Moinak Maiti
language : en
Publisher: Springer Nature
Release Date : 2021-08-31

Applied Financial Econometrics written by Moinak Maiti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Business & Economics categories.

This textbook gives students an approachable, down to earth resource for the study of financial econometrics. While the subject can be intimidating, primarily due to the mathematics and modelling involved, it is rewarding for students of finance and can be taught and learned in a straightforward way. This book, going from basics to high level concepts, offers knowledge of econometrics that is intended to be used with confidence in the real world. This book will be beneficial for both students and tutors who are associated with econometrics subjects at any level.

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

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Author : Cheng Few Lee
language : en
Publisher: World Scientific
Release Date : 2020-07-30

Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-30 with Business & Economics categories.

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.

Financial Econometrics

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Author : Svetlozar T. Rachev
language : en
Publisher: John Wiley & Sons
Release Date : 2007-03-22

Financial Econometrics written by Svetlozar T. Rachev and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-22 with Business & Economics categories.

A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics. The experienced author team uses real-world data where possible and brings in the results of published research provided by investment banking firms and journals. Financial Econometrics clearly explains the techniques presented and provides illustrative examples for the topics discussed. Svetlozar T. Rachev, PhD (Karlsruhe, Germany) is currently Chair-Professor at the University of Karlsruhe. Stefan Mittnik, PhD (Munich, Germany) is Professor of Financial Econometrics at the University of Munich. Frank J. Fabozzi, PhD, CFA, CFP (New Hope, PA) is an adjunct professor of Finance at Yale University’s School of Management. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm The Intertek Group. Teo Jasic, PhD, (Frankfurt, Germany) is a senior manager with a leading international management consultancy firm in Frankfurt.

Financial Markets Theory

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Author : Emilio Barucci
language : en
Publisher: Springer
Release Date : 2017-06-08

Financial Markets Theory written by Emilio Barucci and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-08 with Mathematics categories.

This work, now in a thoroughly revised second edition, presents the economic foundations of financial markets theory from a mathematically rigorous standpoint and offers a self-contained critical discussion based on empirical results. It is the only textbook on the subject to include more than two hundred exercises, with detailed solutions to selected exercises. Financial Markets Theory covers classical asset pricing theory in great detail, including utility theory, equilibrium theory, portfolio selection, mean-variance portfolio theory, CAPM, CCAPM, APT, and the Modigliani-Miller theorem. Starting from an analysis of the empirical evidence on the theory, the authors provide a discussion of the relevant literature, pointing out the main advances in classical asset pricing theory and the new approaches designed to address asset pricing puzzles and open problems (e.g., behavioral finance). Later chapters in the book contain more advanced material, including on the role of information in financial markets, non-classical preferences, noise traders and market microstructure. This textbook is aimed at graduate students in mathematical finance and financial economics, but also serves as a useful reference for practitioners working in insurance, banking, investment funds and financial consultancy. Introducing necessary tools from microeconomic theory, this book is highly accessible and completely self-contained. Advance praise for the second edition: "Financial Markets Theory is comprehensive, rigorous, and yet highly accessible. With their second edition, Barucci and Fontana have set an even higher standard!"Darrell Duffie, Dean Witter Distinguished Professor of Finance, Graduate School of Business, Stanford University "This comprehensive book is a great self-contained source for studying most major theoretical aspects of financial economics. What makes the book particularly useful is that it provides a lot of intuition, detailed discussions of empirical implications, a very thorough survey of the related literature, and many completely solved exercises. The second edition covers more ground and provides many more proofs, and it will be a handy addition to the library of every student or researcher in the field."Jaksa Cvitanic, Richard N. Merkin Professor of Mathematical Finance, Caltech "The second edition of Financial Markets Theory by Barucci and Fontana is a superb achievement that knits together all aspects of modern finance theory, including financial markets microstructure, in a consistent and self-contained framework. Many exercises, together with their detailed solutions, make this book indispensable for serious students in finance."Michel Crouhy, Head of Research and Development, NATIXIS

Advances In Econometrics Operational Research Data Science And Actuarial Studies

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Author : M. Kenan Terzioğlu
language : en
Publisher: Springer Nature
Release Date : 2022-01-17

Advances In Econometrics Operational Research Data Science And Actuarial Studies written by M. Kenan Terzioğlu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-17 with Business & Economics categories.

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

Advances In Applied Economic Research

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Author : Nicholas Tsounis
language : en
Publisher: Springer
Release Date : 2017-06-07

Advances In Applied Economic Research written by Nicholas Tsounis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-07 with Business & Economics categories.

This proceedings volume aims to provide new research methods, theories and applications from various areas of applied economic research. Featuring papers from the 2016 International Conference on Applied Economics (ICOAE) organized by the University of Nicosia and the Western Macedonia University of Applied Sciences, this volume presents cutting edge research from all areas of economic science that use applied econometrics as the method of analysis. It also features country specific studies with specific economic policy analyses and proposals. Applied economics is a rapidly growing field of economics that combines economic theory with econometrics to analyse economic problems of the real world usually with economic policy interest. ICOAE is an annual conference started in 2008 with the aim to bring together economists from different fields of applied economic research in order to share methods and ideas. The goal of the conference and the enclosed papers is to allow for an exchange of experiences with different applied econometric methods and to promote joint initiatives among well-established fields likemacro- and microeconomics, international economics, finance, agricultural economics, health economics, education economics, international trade theory and management and marketing strategies. Featuring global contributions, this book will be of interest to researchers, academics, professionals and policy makers in the field of applied economics and econometrics.

Financial Innovation Theories Models And Regulation

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Author : G. V. Satya Sekhar
language : en
Publisher: Vernon Press
Release Date : 2018-01-01

Financial Innovation Theories Models And Regulation written by G. V. Satya Sekhar and has been published by Vernon Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-01 with Business & Economics categories.

Financial innovation is a regular feature of the global financial system. Financial innovation results in greater economic efficiency over time. In the process of creating a new financial product, besides basic theory of financial management, a financial engineer needs to acquire knowledge of optimization and financial modeling techniques. Modern financial innovation is underpinned by a rich literature including the seminal studies by Levich (1985), Smith, Smithson, and Wilford (1990), Verghese (1990), Merton (1992), Levine (1997), John D Finnerty (2002), Tufano (2003) and Draghi (2008), among many others. This book corresponds to the need to provide an integrated study on financial innovation and the economic regulatory mechanism. A key part of financial innovation covered in the book is the process of creating innovative financial securities and derivative pricing that offers new pay-offs to investors. The book also covers a selection of empirical studies corroborating financial innovation theories. It also exposes myths surrounding performance evaluation models. This book is presented in six chapters. The first chapter outlines important considerations on the application of financial innovation theories. The second chapter presents the theories that underpin financial innovation practice. The third chapter focuses on use of technology for financial modeling. The fourth chapter identifies the relationship between financial innovation and the wider economic system. The fifth chapter discusses the place of financial innovation in the global financial system. The sixth and final chapter presents a comparative analysis of India and the United States.

Financial Data Analytics

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Author : Sinem Derindere Köseoğlu
language : en
Publisher: Springer Nature
Release Date : 2022-04-25

Financial Data Analytics written by Sinem Derindere Köseoğlu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-25 with Business & Economics categories.

​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.