Nonlinear Financial Econometrics: Markov Switching Models, Persistence and Nonlinear Cointegration PDF Download
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Author: Greg N. Gregoriou
Publisher: Springer
ISBN: 0230295215
Category : Business & Economics
Languages : en
Pages : 214
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Book Description
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.
Author: Greg N. Gregoriou
Publisher: Springer
ISBN: 0230295215
Category : Business & Economics
Languages : en
Pages : 214
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Book Description
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.
Author: G. Gregoriou
Publisher: Springer
ISBN: 0230298109
Category : Business & Economics
Languages : en
Pages : 277
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Book Description
This book proposes new methods to build optimal portfolios and to analyze market liquidity and volatility under market microstructure effects, as well as new financial risk measures using parametric and non-parametric techniques. In particular, it investigates the market microstructure of foreign exchange and futures markets.
Author: G. Gregoriou
Publisher: Springer
ISBN: 0230295207
Category : Business & Economics
Languages : en
Pages : 229
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Book Description
This book proposes new tools and models to price options, assess market volatility, and investigate the market efficiency hypothesis. In particular, it considers new models for hedge funds and derivatives of derivatives, and adds to the literature of testing for the efficiency of markets both theoretically and empirically.
Author: Zied Ftiti
Publisher: World Scientific
ISBN: 1786349515
Category : Business & Economics
Languages : en
Pages : 609
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Book Description
In the last twenty years, several periods of turmoil have shaped the financial and economic system. Many regulatory policies, such as Basel III, have been introduced to overcome further crises and scandals. In addition, monetary policy has experienced a transition from conventional to unconventional frameworks in most industrialized and emerging economies. For instance, turning to hedge and diversification of portfolios, commodities markets have attracted increasing interest. More recently, new forms of money have been introduced, such as virtual money. These changes have influenced governance features at both macro and micro levels. Therefore, calls for ethical and sustainable standards in financial and economic spheres have been growing since 2007.Financial and Economic Systems: Transformations and New Challenges provides readers with insights about future transformations and challenges for financial and economic systems. Prominent contributors focus on different aspects, providing a global overview of crisis implications. The book is split into four main areas: Changes in the Real Sphere, covering issues related to yields, risk, unconventional monetary policy, and macroprudential policy; Financial Markets and Macroeconomics, covering uncertainty in finance and economics; CSR, Sustainability and Ethical Finance, highlighting the emergence of corporate social responsibility; and Digitalization, Blockchain and FinTech and the consequences of these transformations on markets and economic systems.
Author: Torben Gustav Andersen
Publisher: Springer Science & Business Media
ISBN: 3540712976
Category : Business & Economics
Languages : en
Pages : 1045
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Book Description
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.
Author: Philip Hans Franses
Publisher: Cambridge University Press
ISBN: 0521770416
Category : Business & Economics
Languages : en
Pages : 299
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Book Description
This 2000 volume reviews non-linear time series models, and their applications to financial markets.
Author: John Y. Campbell
Publisher: Princeton University Press
ISBN: 1400830214
Category : Business & Economics
Languages : en
Pages : 630
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Book Description
The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.
Author: Hans-Martin Krolzig
Publisher: Springer Science & Business Media
ISBN: 364251684X
Category : Business & Economics
Languages : en
Pages : 369
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Book Description
This book contributes to re cent developments on the statistical analysis of multiple time series in the presence of regime shifts. Markov-switching models have become popular for modelling non-linearities and regime shifts, mainly, in univariate eco nomic time series. This study is intended to provide a systematic and operational ap proach to the econometric modelling of dynamic systems subject to shifts in regime, based on the Markov-switching vector autoregressive model. The study presents a comprehensive analysis of the theoretical properties of Markov-switching vector autoregressive processes and the related statistical methods. The statistical concepts are illustrated with applications to empirical business cyde research. This monograph is a revised version of my dissertation which has been accepted by the Economics Department of the Humboldt-University of Berlin in 1996. It con sists mainly of unpublished material which has been presented during the last years at conferences and in seminars. The major parts of this study were written while I was supported by the Deutsche Forschungsgemeinschajt (DFG), Berliner Graduier tenkolleg Angewandte Mikroökonomik and Sondeiforschungsbereich 373 at the Free University and Humboldt-University of Berlin. Work was finally completed in the project The Econometrics of Macroeconomic Forecasting founded by the Economic and Social Research Council (ESRC) at the Institute of Economies and Statistics, University of Oxford. It is a pleasure to record my thanks to these institutions for their support of my research embodied in this study.
Author: John Geweke
Publisher: Oxford University Press
ISBN: 0191618268
Category : Business & Economics
Languages : en
Pages : 571
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Book Description
Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Author: Van-Nam Huynh
Publisher: Springer Science & Business Media
ISBN: 3319033956
Category : Technology & Engineering
Languages : en
Pages : 570
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Book Description
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.
