Asymmetric Dependence Patterns In Financial Time Series
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Copulae And Multivariate Probability Distributions In Finance
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Author : Alexandra Dias
language : en
Publisher: Routledge
Release Date : 2013-08-21
Copulae And Multivariate Probability Distributions In Finance written by Alexandra Dias and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-21 with Business & Economics categories.
Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability distributions to describe asset returns. Traditionally, this has meant the multivariate normal (or Gaussian) distribution. More recently, theoretical and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the elliptically symmetric class. There is also a growing body of work which is based on skew-elliptical distributions. These probability models all exhibit the property that the marginal distributions differ only by location and scale parameters or are restrictive in other respects. Very often, such models are not supported by the empirical evidence that the marginal distributions of asset returns can differ markedly. Copula theory is a branch of statistics which provides powerful methods to overcome these shortcomings. This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for many problems in financial econometrics. This book describes the state of the art in tools required to deal with these observed features of financial data. This book was originally published as a special issue of the European Journal of Finance.
Asymmetric Dependence Patterns In Financial Time Series
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Author : Manuel Ammann
language : en
Publisher:
Release Date : 2008
Asymmetric Dependence Patterns In Financial Time Series written by Manuel Ammann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Essays In Nonlinear Time Series Econometrics
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Author : Niels Haldrup
language : en
Publisher: OUP Oxford
Release Date : 2014-06-26
Essays In Nonlinear Time Series Econometrics written by Niels Haldrup and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-26 with Business & Economics categories.
This edited collection concerns nonlinear economic relations that involve time. It is divided into four broad themes that all reflect the work and methodology of Professor Timo Teräsvirta, one of the leading scholars in the field of nonlinear time series econometrics. The themes are: Testing for linearity and functional form, specification testing and estimation of nonlinear time series models in the form of smooth transition models, model selection and econometric methodology, and finally applications within the area of financial econometrics. All these research fields include contributions that represent state of the art in econometrics such as testing for neglected nonlinearity in neural network models, time-varying GARCH and smooth transition models, STAR models and common factors in volatility modeling, semi-automatic general to specific model selection for nonlinear dynamic models, high-dimensional data analysis for parametric and semi-parametric regression models with dependent data, commodity price modeling, financial analysts earnings forecasts based on asymmetric loss function, local Gaussian correlation and dependence for asymmetric return dependence, and the use of bootstrap aggregation to improve forecast accuracy. Each chapter represents original scholarly work, and reflects the intellectual impact that Timo Teräsvirta has had and will continue to have, on the profession.
Asymmetric Dependence In Finance
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Author : Jamie Alcock
language : en
Publisher: John Wiley & Sons
Release Date : 2018-06-05
Asymmetric Dependence In Finance written by Jamie Alcock 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 2018-06-05 with Business & Economics categories.
Avoid downturn vulnerability by managing correlation dependency Asymmetric Dependence in Finance examines the risks and benefits of asset correlation, and provides effective strategies for more profitable portfolio management. Beginning with a thorough explanation of the extent and nature of asymmetric dependence in the financial markets, this book delves into the practical measures fund managers and investors can implement to boost fund performance. From managing asymmetric dependence using Copulas, to mitigating asymmetric dependence risk in real estate, credit and CTA markets, the discussion presents a coherent survey of the state-of-the-art tools available for measuring and managing this difficult but critical issue. Many funds suffered significant losses during recent downturns, despite having a seemingly well-diversified portfolio. Empirical evidence shows that the relation between assets is much richer than previously thought, and correlation between returns is dependent on the state of the market; this book explains this asymmetric dependence and provides authoritative guidance on mitigating the risks. Examine an options-based approach to limiting your portfolio's downside risk Manage asymmetric dependence in larger portfolios and alternate asset classes Get up to speed on alternative portfolio performance management methods Improve fund performance by applying appropriate models and quantitative techniques Correlations between assets increase markedly during market downturns, leading to diversification failure at the very moment it is needed most. The 2008 Global Financial Crisis and the 2006 hedge-fund crisis provide vivid examples, and many investors still bear the scars of heavy losses from their well-managed, well-diversified portfolios. Asymmetric Dependence in Finance shows you what went wrong, and how it can be corrected and managed before the next big threat using the latest methods and models from leading research in quantitative finance.
Time Series Unraveled
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-18
Time Series Unraveled written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-18 with Business & Economics categories.
In the realm of finance, time series analysis reigns supreme, offering a gateway to understanding the intricate patterns and dynamics that govern market behavior. "Time Series, Unraveled: Unveiling the Secrets of Financial Time Series Analysis" is a comprehensive guide that empowers readers with the knowledge and skills to navigate the ever-changing financial landscape. Delve into the fundamental concepts of time series analysis, mastering the intricacies of stationarity, forecasting, volatility, and risk assessment. Discover the hidden dynamics of market microstructure, gaining insights into the forces that shape market behavior. Harness the power of machine learning and econometrics to extract meaningful insights from complex financial data. This book transcends mere theory, showcasing the practical applications of time series analysis across diverse financial domains. From interest rate modeling to exchange rate forecasting, from commodity price analysis to equity market dynamics, witness the transformative power of time series analysis in action. With clarity and precision, this book guides readers through the intricacies of financial time series analysis, unlocking the secrets that lie within the intricate patterns of time. Gain the confidence to make informed financial decisions, navigate market uncertainties, and unlock the true potential of your investments. "Time Series, Unraveled" is an invaluable resource for finance professionals, investors, and students seeking to master the art of financial time series analysis. Its comprehensive coverage, practical insights, and captivating writing style make it an indispensable guide for anyone navigating the complexities of financial markets. Embark on this enlightening journey and uncover the secrets of financial time series analysis. With this newfound knowledge, you will transform into a confident and informed decision-maker, capable of unlocking the true potential of your financial endeavors. If you like this book, write a review!
Handbook Of Financial Time Series
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Author : Torben Gustav Andersen
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-21
Handbook Of Financial Time Series written by Torben Gustav Andersen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-21 with Business & Economics categories.
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.
Discrete Time Series Processes And Applications In Finance
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Author : Gilles Zumbach
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-04
Discrete Time Series Processes And Applications In Finance written by Gilles Zumbach and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-04 with Mathematics categories.
Most financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world. Time series and processes are the natural tools for describing the dynamic behavior of financial data, leading to the required forecasts. This book presents a survey of the empirical properties of financial time series, their descriptions by means of mathematical processes, and some implications for important financial applications used in many areas like risk evaluation, option pricing or portfolio construction. The statistical tools used to extract information from raw data are introduced. Extensive multiscale empirical statistics provide a solid benchmark of stylized facts (heteroskedasticity, long memory, fat-tails, leverage...), in order to assess various mathematical structures that can capture the observed regularities. The author introduces a broad range of processes and evaluates them systematically against the benchmark, summarizing the successes and limitations of these models from an empirical point of view. The outcome is that only multiscale ARCH processes with long memory, discrete multiplicative structures and non-normal innovations are able to capture correctly the empirical properties. In particular, only a discrete time series framework allows to capture all the stylized facts in a process, whereas the stochastic calculus used in the continuum limit is too constraining. The present volume offers various applications and extensions for this class of processes including high-frequency volatility estimators, market risk evaluation, covariance estimation and multivariate extensions of the processes. The book discusses many practical implications and is addressed to practitioners and quants in the financial industry, as well as to academics, including graduate (Master or PhD level) students. The prerequisites are basic statistics and some elementary financial mathematics.
Linear Models And Time Series Analysis
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Author : Marc S. Paolella
language : en
Publisher: John Wiley & Sons
Release Date : 2018-10-10
Linear Models And Time Series Analysis written by Marc S. Paolella 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 2018-10-10 with Mathematics categories.
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.
Business Continuity Management And Resilience Theories Models And Processes
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Author : Rouco, José Carlos
language : en
Publisher: IGI Global
Release Date : 2024-03-25
Business Continuity Management And Resilience Theories Models And Processes written by Rouco, José Carlos and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-25 with Business & Economics categories.
In an era characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), organizations are faced with an ever-changing array of crises that pose a threat to both their reputation and operational continuity. From unforeseen disruptions to intense market competition, the need for robust business continuity management and resilience has never been more pressing. Strategic success hinges on an organization's ability to weather the storm and swiftly recover from disasters. Those who fail to know the existing organizational models of continuity and appropriately plan for their business to encounter VUCA may not survive it. Business Continuity Management and Resilience: Theories, Models, and Processes provides an exhaustive overview of business continuity management but also offers innovative methodologies to enhance organizational and personal resilience. By delving into theories, models, and processes, it equips readers with the knowledge needed to navigate crises successfully. Covering crisis communication plans, the role of artificial intelligence, risk management, information technologies in crisis management, leadership skills in a crisis context, emergency response, competency models, virtual and augmented reality centers in training, and stress management, this reference book will help to prepare organizations for VUCA in the future. By fostering awareness, providing best practices, and drawing on lessons learned, this book presents a solution through a strategic imperative for those seeking to fortify organizations against the challenges of today's dynamic business environment.
Economic Forecasting And Policy
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Author : N. Carnot
language : en
Publisher: Springer
Release Date : 2011-07-26
Economic Forecasting And Policy written by N. Carnot and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-26 with Business & Economics categories.
Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range of theories as well as empirical methods: business cycle analysis, time series methods, macroeconomic models, medium and long-run projections, fiscal and financial forecasts, and sectoral forecasting.