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| handbook of financial time series: Handbook of Financial Time Series Torben Gustav Andersen, Richard A. Davis, Jens-Peter Kreiß, Thomas V. Mikosch, 2009-04-21 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 financial time series: Modelling Financial Time Series Stephen J. Taylor, 2008 This book contains several innovative models for the prices of financial assets. First published in 1986, it is a classic text in the area of financial econometrics. It presents ARCH and stochastic volatility models that are often used and cited in academic research and are applied by quantitative analysts in many banks. Another often-cited contribution of the first edition is the documentation of statistical characteristics of financial returns, which are referred to as stylized facts. This second edition takes into account the remarkable progress made by empirical researchers during the past two decades from 1986 to 2006. In the new Preface, the author summarizes this progress in two key areas: firstly, measuring, modelling and forecasting volatility; and secondly, detecting and exploiting price trends. Sample Chapter(s). Chapter 1: Introduction (1,134 KB). Contents: Features of Financial Returns; Modelling Price Volatility; Forecasting Standard Deviations; The Accuracy of Autocorrelation Estimates; Testing the Random Walk Hypothesis; Forecasting Trends in Prices; Evidence Against the Efficiency of Futures Markets; Valuing Options; Appendix: A Computer Program for Modelling Financial Time Series. Readership: Academic researchers in finance & economics; quantitative analysts. |
| handbook of financial time series: Handbook of Financial Time Series Torben Gustav Andersen, Richard A. Davis, Jr., Jens-Peter Kreiss, Thomas Mikosch, 2016-05-01 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 financial time series: Handbook of Financial Econometrics and Statistics Cheng-Few Lee, John C. Lee, 2014-09-28 The Handbook of Financial Econometrics and Statistics provides, in four volumes and over 100 chapters, a comprehensive overview of the primary methodologies in econometrics and statistics as applied to financial research. Including overviews of key concepts by the editors and in-depth contributions from leading scholars around the world, the Handbook is the definitive resource for both classic and cutting-edge theories, policies, and analytical techniques in the field. Volume 1 (Parts I and II) covers all of the essential theoretical and empirical approaches. Volumes 2, 3, and 4 feature contributed entries that showcase the application of financial econometrics and statistics to such topics as asset pricing, investment and portfolio research, option pricing, mutual funds, and financial accounting research. Throughout, the Handbook offers illustrative case examples and applications, worked equations, and extensive references, and includes both subject and author indices. |
| handbook of financial time series: Handbook of Financial Econometrics Yacine Ait-Sahalia, Lars Peter Hansen, 2009-10-19 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 time series: Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes) Cheng Few Lee, John C Lee, 2020-07-30 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 time series: Financial, Macro and Micro Econometrics Using R , 2020-01-20 Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, including multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting, nonstandard problems, cointegration, financial market jumps and co-jumps, among other topics. |
| handbook of financial time series: The Basics of Financial Modeling Jack Avon, 2014-11-21 Learn to create and understand financial models that assess the value of your company, the projects it undertakes, and its future earnings/profit projections. Follow this step-by-step guide organized in a quick-read format to build an accurate and effective financial model from the ground up. In this short book, The Basics of Financial Modeling—an abridgment of the Handbook of Financial Modeling—author Jack Avon equips business professionals who are familiar with financial statements and accounting reports to become truly proficient. Based on the author's extensive experience building models in business and finance, and teaching others to do the same, this book takes you through the financial modeling process, starting with a general overview of the history and evolution of financial modeling. It then moves on to more technical topics, such as the principles of financial modeling and the proper way to approach a financial modeling assignment, beforecovering key application areas for modeling in Microsoft Excel. What You'll Learn Understand the accounting and finance concepts that underpin working financial models Approach financial issues and solutions from a modeler's perspective Think about end users when developing a financial model Plan, design, and build a financial model Who This Book Is For Beginning to intermediate modelers who wish to expand and enhance their knowledge of using Excel to build and analyze financial models |
| handbook of financial time series: Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics Burcu Adıgüzel Mercangöz, 2021-02-17 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 financial time series: Forecasting: principles and practice Rob J Hyndman, George Athanasopoulos, 2018-05-08 Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. |
| handbook of financial time series: Handbook of Volatility Models and Their Applications Luc Bauwens, Christian M. Hafner, Sebastien Laurent, 2012-03-22 A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility: Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets Other Models and Methods presents alternative approaches, such as multiplicative error models, nonparametric and semi-parametric models, and copula-based models of (co)volatilities Realized Volatility explores issues of the measurement of volatility by realized variances and covariances, guiding readers on how to successfully model and forecast these measures Handbook of Volatility Models and Their Applications is an essential reference for academics and practitioners in finance, business, and econometrics who work with volatility models in their everyday work. The book also serves as a supplement for courses on risk management and volatility at the upper-undergraduate and graduate levels. |
| handbook of financial time series: The Econometric Modelling of Financial Time Series Terence C. Mills, 1995-04-20 This book provides detailed coverage of the variety of models that are currently being used in the empirical analysis of financial markets. Covering bond equity and foreign exchange markets, it is aimed at scholars and practitioners wishing to acquire an understanding of the latest research techniques and findings in the field, and also at graduate students wishing to research in financial markets. The book is divided into two main sections, covering univariate models, and econometric and multivariate techniques respectively. In the former, the areas covered include linear and non-linear stochastic models, random walk, unit root tests, GARCH models, deterministic chaos, trend reversion, and bubbles. In the latter, regression models, time varying parameter models, the Kalman filter, vector autoregressions, present value models, and cointegration are discussed. |
| handbook of financial time series: Handbook of Key Global Financial Markets, Institutions, and Infrastructure , 2012-12-17 Understanding twenty-first century global financial integration requires a two-part background. The Handbook of Key Global Financial Markets, Institutions, and Infrastructure begins its description of how we created a financially-intergrated world by first examining the history of financial globalization, from Roman practices and Ottoman finance to Chinese standards, the beginnings of corporate practices, and the advent of efforts to safeguard financial stability. It then describes the architecture itself by analyzing its parts, such as markets, institutions, and infrastructure. The contributions of sovereign funds, auditing regulation, loan markets, property rights, compensation practices, Islamic finance, and others to the global architecture are closely examined. For those seeking substantial, authoritative descriptions and summaries, this volume will replace books, journals, and other information sources with a single, easy-to-use reference work. - Substantial articles by top scholars sets this volume apart from other information sources - Diverse international perspectives result in new opportunities for analysis and research - Rapidly developing subjects will interest readers well into the future |
| handbook of financial time series: Handbook of Computational Finance Jin-Chuan Duan, Wolfgang Karl Härdle, James E. Gentle, 2011-10-25 Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of growth, future dividends, volatility, and other relevant market factors. Some of these factors that affect the price can be measured at the time of a transaction with reasonably high accuracy. Most factors, however, relate to expectations about the future and to subjective issues, such as current management, corporate policies and market environment, that could affect the future financial performance of the underlying assets. Models are thus needed to describe the stochastic factors and environment, and their implementations inevitably require computational finance tools. |
| handbook of financial time series: Handbook of Economic Forecasting G. Elliott, C. W.J. Granger, A. G. Timmermann, 2006-07-14 Section headings in this handbook include: 'Forecasting Methodology; 'Forecasting Models'; 'Forecasting with Different Data Structures'; and 'Applications of Forecasting Methods.'. |
| handbook of financial time series: Handbook of Financial Stress Testing J. Doyne Farmer, Alissa M. Kleinnijenhuis, Til Schuermann, Thom Wetzer, 2022-04-14 Discover current uses and future development of stress tests, the most innovative regulatory tool to prevent and fight financial crises. |
| handbook of financial time series: Handbook of Recent Advances in Commodity and Financial Modeling Giorgio Consigli, Silvana Stefani, Giovanni Zambruno, 2017-09-30 This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems arising in global financial and commodity markets from the perspective of Operations Research and Management Science. The book is structured in three parts, emphasizing common methodological approaches arising in the areas of interest: - Part I: Optimization techniques - Part II: Pricing and Valuation - Part III: Risk Modeling The book presents to a wide community of Academics and Practitioners a selection of theoretical and applied contributions on topics that have recently attracted increasing interest in commodity and financial markets. Within a structure based on the three parts, it presents recent state-of-the-art and original works related to: - The adoption of multi-criteria and dynamic optimization approaches in financial and insurance markets in presence of market stress and growing systemic risk; - Decision paradigms, based on behavioral finance or factor-based, or more classical stochastic optimization techniques, applied to portfolio selection problems including new asset classes such as alternative investments; - Risk measurement methodologies, including model risk assessment, recently applied to energy spot and future markets and new risk measures recently proposed to evaluate risk-reward trade-offs in global financial and commodity markets; and derivatives portfolio hedging and pricing methods recently put forward in the financial community in the aftermath of the global financial crisis. |
| handbook of financial time series: Financial Times Handbook of Financial Engineering Lawrence Galitz, 2016 |
| handbook of financial time series: The Routledge Handbook of Financial Geography Janelle Knox-Hayes, Dariusz Wójcik, 2020-12-14 This handbook is a comprehensive and up to date work of reference that offers a survey of the state of financial geography. With Brexit, a global recession triggered by the COVID-19 pandemic, as well as new financial technology threatening and promising to revolutionize finance, the map of the financial world is in a state of transformation, with major implications for development. With these developments in the background, this handbook builds on this unprecedented momentum and responds to these epochal challenges, offering a comprehensive guide to financial geography. Financial geography is concerned with the study of money and finance in space and time, and their impacts on economy, society and nature. The book consists of 29 chapters organized in six sections: theoretical perspectives on financial geography, financial assets and markets, investors, intermediation, regulation and governance, and finance, development and the environment. Each chapter provides a balanced overview of current knowledge, identifying issues and discussing relevant debates. Written in an analytical and engaging style by authors based on six continents from a wide range of disciplines, the work also offers reflections on where the research agenda is likely to advance in the future. The book’s key audience will primarily be students and researchers in geography, urban studies, global studies and planning, more or less familiar with financial geography, who seek access to a state-of-the art survey of this area. It will also be useful for students and researchers in other disciplines, such as finance and economics, history, sociology, anthropology, politics, business studies, environmental studies and other social sciences, who seek convenient access to financial geography as a new and relatively unfamiliar area. Finally, it will be a valuable resource for practitioners in the public and private sector, including business consultants and policy-makers, who look for alternative approaches to understanding money and finance. |
| handbook of financial time series: Econometric Forecasting And High-frequency Data Analysis Yiu-kuen Tse, Robert S Mariano, 2008-03-04 This important book consists of surveys of high-frequency financial data analysis and econometric forecasting, written by pioneers in these areas including Nobel laureate Lawrence Klein. Some of the chapters were presented as tutorials to an audience in the Econometric Forecasting and High-Frequency Data Analysis Workshop at the Institute for Mathematical Science, National University of Singapore in May 2006. They will be of interest to researchers working in macroeconometrics as well as financial econometrics. Moreover, readers will find these chapters useful as a guide to the literature as well as suggestions for future research. |
| handbook of financial time series: The Oxford Handbook of Economic Forecasting Michael P. Clements, David F. Hendry, 2011-07-08 Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models. |
| handbook of financial time series: Handbook of High-Frequency Trading and Modeling in Finance Ionut Florescu, Maria Cristina Mariani, H. Eugene Stanley, Frederi G. Viens, 2016-04-25 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 financial time series: The Handbook of Financial Communication and Investor Relations Alexander V. Laskin, 2017-09-07 The first book to offer a global look at the state-of-the-art thinking and practice in investor relations and financial communication Featuring contributions from leading scholars and practitioners in financial communication and related fields—including public relations, corporate communications, finance, and accounting— this volume in the critically acclaimed “Handbooks in Communication and Media” seriesprovides readers with a comprehensive, up-to-date picture of investor relations and financial communications as they are practiced in North America and around the world. The Handbook of Financial Communication and Investor Relations provides an overview of the past, present, and future of investor relations and financial communications as a profession. It identifies the central issues of contemporary investor relations and financial communications practice, including financial information versus non-financial information, intangibles, risk, value, and growth. Authors address key topics of concern to contemporary practitioners, such as socially responsible investing, corporate governance, shareholder activism, ethics, and professionalism. In addition, the book arms readers with metrics and proven techniques for reliably measuring and evaluating the effectiveness of investor relations and financial communications. Bringing together the most up-to-date research on investor relations and financial communication and the insights and expertise of an all-star team of practitioners, The Handbook of Financial Communication and Investor Relations: Explores how the profession is practiced in various regions of the globe, including North America, South America, Europe, the Middle East, India, Australia, and other areas Provides a unique look at financial communication as it is practiced beyond the corporate world, including in families, the medical profession, government, and the not-for-profit sector Addresses “big-picture” strategies as well as specific tactics for financial communication during crises, the use of social media, dealing with shareholder activism, integrated reporting and CSR, and more This book makes an ideal reference resource for undergrads and graduate students, scholars, and practitioners studying or researching investor relations and financial communication across schools of communication, journalism, business, and management. It also offers professionals an up-to-date, uniquely holistic look at best practices in financial communication investor relations worldwide. |
| handbook of financial time series: The Kelly Capital Growth Investment Criterion Leonard C. MacLean, Edward O. Thorp, W. T. Ziemba, 2011 This volume provides the definitive treatment of fortune's formula or the Kelly capital growth criterion as it is often called. The strategy is to maximize long run wealth of the investor by maximizing the period by period expected utility of wealth with a logarithmic utility function. Mathematical theorems show that only the log utility function maximizes asymptotic long run wealth and minimizes the expected time to arbitrary large goals. In general, the strategy is risky in the short term but as the number of bets increase, the Kelly bettor's wealth tends to be much larger than those with essentially different strategies. So most of the time, the Kelly bettor will have much more wealth than these other bettors but the Kelly strategy can lead to considerable losses a small percent of the time. There are ways to reduce this risk at the cost of lower expected final wealth using fractional Kelly strategies that blend the Kelly suggested wager with cash. The various classic reprinted papers and the new ones written specifically for this volume cover various aspects of the theory and practice of dynamic investing. Good and bad properties are discussed, as are fixed-mix and volatility induced growth strategies. The relationships with utility theory and the use of these ideas by great investors are featured. |
| handbook of financial time series: Multivariate Time Series Analysis Ruey S. Tsay, 2013-11-11 An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empirical research. Differing from the traditional approach to multivariate time series, the book focuses on reader comprehension by emphasizing structural specification, which results in simplified parsimonious VAR MA modeling. Multivariate Time Series Analysis: With R and Financial Applications utilizes the freely available R software package to explore complex data and illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR MA time series and models, unitroot process, factor models, and factor-augmented VAR models, the book includes: • Over 300 examples and exercises to reinforce the presented content • User-friendly R subroutines and research presented throughout to demonstrate modern applications • Numerous datasets and subroutines to provide readers with a deeper understanding of the material Multivariate Time Series Analysis is an ideal textbook for graduate-level courses on time series and quantitative finance and upper-undergraduate level statistics courses in time series. The book is also an indispensable reference for researchers and practitioners in business, finance, and econometrics. |
| handbook of financial time series: Handbook of the Fundamentals of Financial Decision Making Leonard C. MacLean, William T. Ziemba, 2013 This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006). |
| handbook of financial time series: The Oxford Handbook of Financial Regulation Niamh Moloney, Eilís Ferran, Jennifer Payne, 2015 The financial system and its regulation have undergone exponential growth and dramatic reform over the last thirty years. This period has witnessed major developments in the nature and intensity of financial markets, as well as repeated cycles of regulatory reform and development, often linked to crisis conditions. The recent financial crisis has led to unparalleled interest in financial regulation from policymakers, economists, legal practitioners, and the academic community, and has prompted large-scale regulatory reform. The Oxford Handbook of Financial Regulation is the first comprehensive, authoritative, and state of the art account of the nature of financial regulation. Written by an international team of leading scholars in the field, it takes a contextual and comparative approach to examine scholarly, policy, and regulatory developments in the past three decades. The first three parts of the Handbook address the underpinning horizontal themes which arise in financial regulation: financial systems and regulation; the organization of financial system regulation, including regional examples from the EU and the US; and the delivery of outcomes and regulatory techniques. The final three Parts address the perennial objectives of financial regulation, widely regarded as the anchors of financial regulation internationally: financial stability, market efficiency, integrity, and transparency; and consumer protection. The Oxford Handbook of Financial Regulation is an invaluable resource for scholars and students of financial regulation, economists, policy-makers and regulators. |
| handbook of financial time series: The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis Todd D. Little, 2013-02-01 Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences. |
| handbook of financial time series: The Oxford Handbook of Panel Data Badi Hani Baltagi, 2015 The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels. This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook. |
| handbook of financial time series: The Handbook of Equity Derivatives Jack Clark Francis, William W. Toy, J. Gregg Whittaker, 1999-11-08 There are so many ways to use derivatives that I'm almost surprised when someone doesn't use them. Producers and consumers, investors and issuers, hedgers and speculators, governments and financial institutions: almost everyone can use them. - From the Foreword by Fischer Black, Cocreator of the Black-Scholes Model Never before has there been so much interest in equity derivatives-or so much innovation in structuring these products. As new forms of instruments proliferate, their complexity has grown as well. Even equity derivatives professionals are unlikely to know all the details about every existing structure. With equity derivatives comprising one of the most important components of the capital markets, it's more crucial than ever for every financial professional, specialist and nonspecialist alike, to understand how derivative instruments behave, how they're structured, and how to use them profitably. Edited by leading thinkers in the field, The Handbook of Equity Derivatives, Revised Edition, assembles dozens of experts from universities and Wall Street to help the reader gain a practical grasp of the growing variety of financial instruments and how they work. Contributions from such respected authorities as Gary Gastineau, Mark Rubinstein, J. Gregg Whittaker, and Fischer Black outline the full range of the equity derivatives market, from classic warrants, options, and futures to the new and innovative PERCs, equity swaps, and equity-linked bonds. In nonmathematical language, the book provides a clear introduction to equity derivatives, including the fundamentals and history of options, basic equity structures, and pricing determinants, along with a historical perspective on their evolution. You'll find thorough surveys of: * The burgeoning field of synthetic structures-OTC options and exotics, equity swaps, SPINs, SIGNs, PENs, MITTs, and SuperShares * U.S. and foreign derivatives traded on organized exchanges * Issuer derivative structures, such as warrants, convertibles, PERCs, and unbundled stock units * The unique tax, legal, accounting, and regulatory features of derivatives * How to make the most profitable use of the many equity derivative products * Why some financial instruments succeed-and others fail * The future of the equity derivative market- place Whether you're a finance student becoming familiar with the field or a practicing professional seeking better ways to exploit the tremendous potential of equity derivatives for profit, The Handbook of Equity Derivatives, Revised Edition belongs on your bookshelf. I heartily endorse The Handbook of Equity Derivatives . . . while the market is continuously inventing new instruments and discarding older ones, the clarity and straightforward nature of the handbook hints at a longevity that will make it useful for many years to come. - Stephen A. Ross Sterling Professor of Economics and Finance, MIT (on the first edition) The most relied-upon resource on equity derivative instruments, their structure, and diverse global markets- now extensively revised and updated Once, equity derivatives were exotic instruments relegated to the hands of specialists. Today, they are among the institutional investor's most popular tools for managing risk and uncovering new profit opportunities. Recognized for its authoritative contributors and its accessible, comprehensive coverage of the entire field, The Handbook of Equity Derivatives has become the standard reference on the subject for specialist and nonspecialist alike. Now, this essential resource has been carefully updated and revised to cover the most current innovations in these continually evolving investment vehicles, including: * Comprehensive coverage of the all-important OTC market * Basic equity structures and how they work * Pricing determinants * PERCs, SPIDERs, and WEBs * The Black-Scholes model * The best uses for and profit potential of new derivative products * Key accounting, tax, and regulatory issues |
| handbook of financial time series: Handbook of Statistical Analysis and Data Mining Applications Robert Nisbet, John Elder, Gary D. Miner, 2009-05-14 The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. - Written By Practitioners for Practitioners - Non-technical explanations build understanding without jargon and equations - Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models - Practical advice from successful real-world implementations - Includes extensive case studies, examples, MS PowerPoint slides and datasets - CD-DVD with valuable fully-working 90-day software included: Complete Data Miner - QC-Miner - Text Miner bound with book |
| handbook of financial time series: Handbook of Financial Markets: Dynamics and Evolution Thorsten Hens, Klaus Reiner Schenk-Hoppe, 2009-06-12 The models of portfolio selection and asset price dynamics in this volume seek to explain the market dynamics of asset prices. Presenting a range of analytical, empirical, and numerical techniques as well as several different modeling approaches, the authors depict the state of debate on the market selection hypothesis. By explicitly assuming the heterogeneity of investors, they present models that are descriptive and normative as well, making the volume useful for both finance theorists and financial practitioners. - Explains the market dynamics of asset prices, offering insights about asset management approaches - Assumes a heterogeneity of investors that yields descriptive and normative models of portfolio selections and asset pricing dynamics |
| handbook of financial time series: High-Frequency Financial Econometrics Yacine Aït-Sahalia, Jean Jacod, 2014-07-21 A comprehensive introduction to the statistical and econometric methods for analyzing high-frequency financial data High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Aït-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Aït-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Aït-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike. |
| handbook of financial time series: Bad Data Handbook Q. Ethan McCallum, 2012-11-07 What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis |
| handbook of financial time series: Financial Econometrics Svetlozar T. Rachev, Stefan Mittnik, Frank J. Fabozzi, Sergio M. Focardi, Teo Jašić, 2007-03-22 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. |
| handbook of financial time series: Routledge Handbook of Financial Technology and Law Iris Chiu, Gudula Deipenbrock, 2021-04-29 Financial technology is rapidly changing and shaping financial services and markets. These changes are considered making the future of finance a digital one.This Handbook analyses developments in the financial services, products and markets that are being reshaped by technologically driven changes with a view to their policy, regulatory, supervisory and other legal implications. The Handbook aims to illustrate the crucial role the law has to play in tackling the revolutionary developments in the financial sector by offering a framework of legally enforceable principles and values in which such innovations might take place without threatening the acquis of financial markets law and more generally the rule of law and basic human rights. With contributions from international leading experts, topics will include: Policy, High-level Principles, Trends and Perspectives Fintech and Lending Fintech and Payment Services Fintech, Investment and Insurance Services Fintech, Financial Inclusion and Sustainable Finance Cryptocurrencies and Cryptoassets Markets and Trading Regtech and Suptech This Handbook will be of great relevance for practitioners and students alike, and a first reference point for academics researching in the fields of banking and financial markets law. |
| handbook of financial time series: Financial Times Guide to the Financial Markets Glen Arnold, 2012-05-14 From bestselling author Glen Arnold, this is a jargon-busting book that describes how financial markets work, where they are located and how they impact on everyday life. It assumes no specialised prior knowledge of finance theory and provides an authoritative and comprehensive run-down of the workings of the modern financial system. Using real world examples from media such as the Financial Times, Arnold gives an international perspective on the financial markets with frequent comparisons in the workings of major financial centres such as the Bank of England and the City, the Federal Reserve System and Wall Street, the Japanese Central Bank, the European Central Bank and IMF and World Bank. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. |
| handbook of financial time series: Handbook of Research on Accounting and Financial Studies Farinha, Luís, Cruz, Ana Baltazar, Sebastião, João Renato, 2020-03-06 The competitive nature of organizations in today’s globalized world has led to the development of various approaches to increasing profitability and maintaining an advantage over rival companies. As technology continues to be integrated into business practices, specifically in the area of accounting and finance, professionals and educators need to be prepared for advancing economic techniques, and they need to maintain a high level of financial literacy. The Handbook of Research on Accounting and Financial Studies is a pivotal reference source that provides vital research on advanced knowledge and emerging business practices and teaching dynamics in the fields of accounting and finance. While highlighting topics such as cost-benefit analysis, risk management, and corporate governance, this publication explores new initiatives in entrepreneurship and performance management. This book is ideally designed for business managers, consultants, entrepreneurs, auditors, tax practitioners, economists, accountants, academicians, researchers, and students seeking current research on modern advancements and recent findings in accounting and financial studies. |
| handbook of financial time series: Statistical Methods in Finance G. S. Maddala, Calyampudi Radhakrishna Rao, 1996-12-11 A comprehensive reference work for teaching at graduate level and research in empirical finance. The chapters cover a wide range of statistical and probabilistic methods applied to a variety of financial methods and are written by internationally renowned experts. |
| handbook of financial time series: Time Series Analysis and Forecasting Ignacio Rojas, Héctor Pomares, 2016-05-30 This volume presents selected peer-reviewed contributions from The International Work-Conference on Time Series, ITISE 2015, held in Granada, Spain, July 1-3, 2015. It discusses topics in time series analysis and forecasting, advanced methods and online learning in time series, high-dimensional and complex/big data time series as well as forecasting in real problems. The International Work-Conferences on Time Series (ITISE) provide a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing the disciplines of computer science, mathematics, statistics and econometrics. |
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