Bayesian Estimation Of Single Regime And Regime Switching Garch Models
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Financial Risk Management With Bayesian Estimation Of Garch Models
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Author : David Ardia
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-05-08
Financial Risk Management With Bayesian Estimation Of Garch Models written by David Ardia 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 2008-05-08 with Business & Economics categories.
This book presents in detail methodologies for the Bayesian estimation of sing- regime and regime-switching GARCH models. These models are widespread and essential tools in n ancial econometrics and have, until recently, mainly been estimated using the classical Maximum Likelihood technique. As this study aims to demonstrate, the Bayesian approach o ers an attractive alternative which enables small sample results, robust estimation, model discrimination and probabilistic statements on nonlinear functions of the model parameters. The author is indebted to numerous individuals for help in the preparation of this study. Primarily, I owe a great debt to Prof. Dr. Philippe J. Deschamps who inspired me to study Bayesian econometrics, suggested the subject, guided me under his supervision and encouraged my research. I would also like to thank Prof. Dr. Martin Wallmeier and my colleagues of the Department of Quantitative Economics, in particular Michael Beer, Roberto Cerratti and Gilles Kaltenrieder, for their useful comments and discussions. I am very indebted to my friends Carlos Ord as Criado, Julien A. Straubhaar, J er ^ ome Ph. A. Taillard and Mathieu Vuilleumier, for their support in the elds of economics, mathematics and statistics. Thanks also to my friend Kevin Barnes who helped with my English in this work. Finally, I am greatly indebted to my parents and grandparents for their support and encouragement while I was struggling with the writing of this thesis.
Structural Changes And Their Econometric Modeling
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Author : Vladik Kreinovich
language : en
Publisher: Springer
Release Date : 2018-11-24
Structural Changes And Their Econometric Modeling written by Vladik Kreinovich and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-24 with Computers categories.
This book focuses on structural changes and economic modeling. It presents papers describing how to model structural changes, as well as those introducing improvements to the existing before-structural-changes models, making it easier to later on combine these models with techniques describing structural changes. The book also includes related theoretical developments and practical applications of the resulting techniques to economic problems. Most traditional mathematical models of economic processes describe how the corresponding quantities change with time. However, in addition to such relatively smooth numerical changes, economical phenomena often undergo more drastic structural change. Describing such structural changes is not easy, but it is vital if we want to have a more adequate description of economic phenomena – and thus, more accurate and more reliable predictions and a better understanding on how best to influence the economic situation.
Bayesian Estimation Of Single Regime And Regime Switching Garch Models
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Author : David Ardia
language : en
Publisher:
Release Date : 2008
Bayesian Estimation Of Single Regime And Regime Switching Garch Models written by David Ardia 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.
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.
Bayesian Methods In Finance
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Author : Svetlozar T. Rachev
language : en
Publisher: John Wiley & Sons
Release Date : 2008-02-13
Bayesian Methods In Finance 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 2008-02-13 with Business & Economics categories.
Bayesian Methods in Finance provides a detailed overview of the theory of Bayesian methods and explains their real-world applications to financial modeling. While the principles and concepts explained throughout the book can be used in financial modeling and decision making in general, the authors focus on portfolio management and market risk management—since these are the areas in finance where Bayesian methods have had the greatest penetration to date.
Cryptocurrencies Financial Technologies Of The Future
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Author : Ireneusz Miciuła
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-10-16
Cryptocurrencies Financial Technologies Of The Future written by Ireneusz Miciuła and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
Money is undoubtedly the fundamental element of the economy, and its history reflects the evolution of financial markets. Currently, we are witnessing significant technological advancements in payment methods, highlighting the potential benefits of introducing new means of economic exchange. Cryptocurrencies may emerge as a prominent form of payment in the future. Cryptocurrencies are an innovative and technologically advanced alternative to a fully globalized future. They represent a potential solution for processing payments across geographical borders. Additionally, if cryptocurrencies are effectively regulated through current adjustments, they will be able to help future generations navigate the complexities of financial transactions. Cryptocurrencies perform the same functions as traditional money, possessing attributes such as durability, divisibility, and originality. With social acceptance, they could become a legitimate means of exchange. Over the last decade or so, cryptocurrencies have gained popularity, and their importance in financial markets continues to grow. Their innovative nature has the potential to drive substantial changes and significantly impact the functioning of the global financial sector in the future. Cryptocurrencies – Financial Technologies of the Future provides knowledge, recommendations, and practical solutions to new challenges within the contemporary processes of globalization and international trade thanks to cryptocurrencies
Nonlinear Financial Econometrics Markov Switching Models Persistence And Nonlinear Cointegration
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Author : Greg N. Gregoriou
language : en
Publisher: Springer
Release Date : 2010-12-08
Nonlinear Financial Econometrics Markov Switching Models Persistence And Nonlinear Cointegration written by Greg N. Gregoriou and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-08 with Business & Economics categories.
This book proposes new methods to value equity and model the Markowitz efficient frontier using Markov switching models and provide new evidence and solutions to capture the persistence observed in stock returns across developed and emerging markets.
Practical Statistical Learning And Data Science Methods
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Author : O. Olawale Awe
language : en
Publisher: Springer Nature
Release Date : 2024-12-27
Practical Statistical Learning And Data Science Methods written by O. Olawale Awe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.
This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered within the LISA 2020 Global Network. Through a series of compelling case studies, readers are immersed in practical methodologies, real-world applications, and innovative approaches in statistical learning and data science. Topics covered in this volume span a wide array of applications, including machine learning in health data analysis, deep learning models for precipitation modeling, interpretation techniques for machine learning models in BMI classification for obesity studies, as well as a comparative analysis of sampling methods in machine learning health applications. By addressing the evolving landscape of data analytics in many ways, this volume serves as a valuable resource for practitioners, researchers, and students alike. The LISA 2020 Global Network is dedicated to enhancing statistical and data science capabilities in developing countries through the establishment of collaboration laboratories, also known as “stat labs.” These stat labs function as engines for development, nurturing the next generation of collaborative statisticians and data scientists while providing essential research infrastructure for researchers, data producers, and decision-makers.
Mathematical And Statistical Methods For Actuarial Sciences And Finance
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Author : Marco Corazza
language : en
Publisher: Springer
Release Date : 2017-12-28
Mathematical And Statistical Methods For Actuarial Sciences And Finance written by Marco Corazza and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-28 with Business & Economics categories.
This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 – Mathematical and Statistical Methods for Actuarial Sciences and Finance”, held in Paris (France) at the Université Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals.
Modeling Dependence In Econometrics
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Author : Van-Nam Huynh
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-18
Modeling Dependence In Econometrics written by Van-Nam Huynh 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 2013-11-18 with Technology & Engineering categories.
In economics, many quantities are related to each other. Such economic relations are often much more complex than relations in science and engineering, where some quantities are independence and the relation between others can be well approximated by linear functions. As a result of this complexity, when we apply traditional statistical techniques - developed for science and engineering - to process economic data, the inadequate treatment of dependence leads to misleading models and erroneous predictions. Some economists even blamed such inadequate treatment of dependence for the 2008 financial crisis. To make economic models more adequate, we need more accurate techniques for describing dependence. Such techniques are currently being developed. This book contains description of state-of-the-art techniques for modeling dependence and economic applications of these techniques. Most of these research developments are centered around the notion of a copula - a general way of describing dependence in probability theory and statistics. To be even more adequate, many papers go beyond traditional copula techniques and take into account, e.g., the dynamical (changing) character of the dependence in economics.