Advances In Markov Switching Models
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Advances In Markov Switching Models
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Author : James D. Hamilton
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Advances In Markov Switching Models written by James D. Hamilton 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 2013-06-29 with Business & Economics categories.
This book is a collection of state-of-the-art papers on the properties of business cycles and financial analysis. The individual contributions cover new advances in Markov-switching models with applications to business cycle research and finance. The introduction surveys the existing methods and new results of the last decade. Individual chapters study features of the U. S. and European business cycles with particular focus on the role of monetary policy, oil shocks and co movements among key variables. The short-run versus long-run consequences of an economic recession are also discussed. Another area that is featured is an extensive analysis of currency crises and the possibility of bubbles or fads in stock prices. A concluding chapter offers useful new results on testing for this kind of regime-switching behaviour. Overall, the book provides a state-of-the-art over view of new directions in methods and results for estimation and inference based on the use of Markov-switching time-series analysis. A special feature of the book is that it includes an illustration of a wide range of applications based on a common methodology. It is expected that the theme of the book will be of particular interest to the macroeconomics readers as well as econometrics professionals, scholars and graduate students. We wish to express our gratitude to the authors for their strong contributions and the reviewers for their assistance and careful attention to detail in their reports.
Finite Mixture And Markov Switching Models
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Author : Sylvia Frühwirth-Schnatter
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-11-24
Finite Mixture And Markov Switching Models written by Sylvia Frühwirth-Schnatter 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 2006-11-24 with Mathematics categories.
The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.
Macroeconometrics And Time Series Analysis
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Author : Steven Durlauf
language : en
Publisher: Springer
Release Date : 2016-04-30
Macroeconometrics And Time Series Analysis written by Steven Durlauf and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-30 with Business & Economics categories.
Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.
Hidden Markov Models In Finance
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Author : Rogemar S. Mamon
language : en
Publisher: Springer
Release Date : 2010-11-25
Hidden Markov Models In Finance written by Rogemar S. Mamon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-25 with Business & Economics categories.
A number of methodologies have been employed to provide decision making solutions globalized markets. Hidden Markov Models in Finance offers the first systematic application of these methods to specialized financial problems: option pricing, credit risk modeling, volatility estimation and more. The book provides tools for sorting through turbulence, volatility, emotion, chaotic events – the random "noise" of financial markets – to analyze core components.
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.
Advances In Pacific Basin Business Economics And Finance
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Author : Cheng-Few Lee
language : en
Publisher: Emerald Group Publishing
Release Date : 2020-09-09
Advances In Pacific Basin Business Economics And Finance written by Cheng-Few Lee and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-09 with Business & Economics categories.
Advances in Pacific Basin Business, Economics, and Finance is an annual publication designed to focus on interdisciplinary research in finance, economics, accounting and management among Pacific Rim countries.
The New Palgrave Dictionary Of Economics
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Author :
language : en
Publisher: Springer
Release Date : 2016-05-18
The New Palgrave Dictionary Of Economics written by and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-18 with Law categories.
The award-winning The New Palgrave Dictionary of Economics, 2nd edition is now available as a dynamic online resource. Consisting of over 1,900 articles written by leading figures in the field including Nobel prize winners, this is the definitive scholarly reference work for a new generation of economists. Regularly updated! This product is a subscription based product.
Recent Advances In Estimating Nonlinear Models
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Author : Jun Ma
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-24
Recent Advances In Estimating Nonlinear Models written by Jun Ma 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 2013-09-24 with Business & Economics categories.
Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large number of series exhibit nonlinear dynamics as opposed to the alternative--linear dynamics. Incorporating these concepts involves deriving and estimating nonlinear time series models, and these have typically taken the form of Threshold Autoregression (TAR) models, Exponential Smooth Transition (ESTAR) models, and Markov Switching (MS) models, among several others. This edited volume provides a timely overview of nonlinear estimation techniques, offering new methods and insights into nonlinear time series analysis. It features cutting-edge research from leading academics in economics, finance, and business management, and will focus on such topics as Zero-Information-Limit-Conditions, using Markov Switching Models to analyze economics series, and how best to distinguish between competing nonlinear models. Principles and techniques in this book will appeal to econometricians, finance professors teaching quantitative finance, researchers, and graduate students interested in learning how to apply advances in nonlinear time series modeling to solve complex problems in economics and finance.
A Guide To Advanced Quantitative Investment Management
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-08
A Guide To Advanced Quantitative Investment Management 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 2025-05-08 with Business & Economics categories.
**A Guide to Advanced Quantitative Investment Management** provides a comprehensive guide to the latest quantitative techniques and strategies used by professional investors. Written by a team of experienced practitioners and academics, this book covers a wide range of topics, from the foundations of quantitative investment management to advanced risk management and machine learning applications. This book is designed to be accessible to both novice and experienced investors, with a focus on practical implementation and real-world examples. It is divided into ten chapters, each covering a specific aspect of quantitative investment management. The chapters are self-contained and can be read independently, allowing readers to focus on the topics that are most relevant to their needs. This book is an essential resource for anyone interested in quantitative investment management. It provides a comprehensive overview of the field and offers practical guidance on how to implement quantitative techniques and strategies in real-world investment portfolios. **Key Features:** * Covers the latest quantitative techniques and strategies used by professional investors * Written by a team of experienced practitioners and academics * Accessible to both novice and experienced investors * Focus on practical implementation and real-world examples * Divided into ten self-contained chapters * Essential resource for anyone interested in quantitative investment management **Target Audience:** * Portfolio managers * Risk managers * Investment analysts * Quantitative analysts * Students and researchers in finance If you like this book, write a review on google books!
Intelligent Optimization Modelling In Energy Forecasting
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Author : Wei-Chiang Hong
language : en
Publisher: MDPI
Release Date : 2020-04-01
Intelligent Optimization Modelling In Energy Forecasting written by Wei-Chiang Hong and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.
Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In recent decades, many energy forecasting models have been continuously proposed to improve forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression, exponential smoothing models, Kalman filtering, Bayesian estimation models, etc.) and artificial intelligence models (e.g., artificial neural networks (ANNs), knowledge-based expert systems, evolutionary computation models, support vector regression, etc.). Recently, due to the great development of optimization modeling methods (e.g., quadratic programming method, differential empirical mode method, evolutionary algorithms, meta-heuristic algorithms, etc.) and intelligent computing mechanisms (e.g., quantum computing, chaotic mapping, cloud mapping, seasonal mechanism, etc.), many novel hybrid models or models combined with the above-mentioned intelligent-optimization-based models have also been proposed to achieve satisfactory forecasting accuracy levels. It is important to explore the tendency and development of intelligent-optimization-based modeling methodologies and to enrich their practical performances, particularly for marine renewable energy forecasting.