Transfer Entropy
Author: Deniz Gençağa
Publisher: MDPI
Published: 2018-08-24
Total Pages: 335
ISBN-13: 3038429198
DOWNLOAD EBOOKThis book is a printed edition of the Special Issue "Transfer Entropy" that was published in Entropy
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Author: Deniz Gençağa
Publisher: MDPI
Published: 2018-08-24
Total Pages: 335
ISBN-13: 3038429198
DOWNLOAD EBOOKThis book is a printed edition of the Special Issue "Transfer Entropy" that was published in Entropy
Author: Amos Golan
Publisher: Now Publishers Inc
Published: 2008
Total Pages: 167
ISBN-13: 160198104X
DOWNLOAD EBOOKInformation and Entropy Econometrics - A Review and Synthesis summarizes the basics of information theoretic methods in econometrics and the connecting theme among these methods. The sub-class of methods that treat the observed sample moments as stochastic is discussed in greater details. I Information and Entropy Econometrics - A Review and Synthesis -focuses on inter-connection between information theory, estimation and inference. -provides a detailed survey of information theoretic concepts and quantities used within econometrics and then show how these quantities are used within IEE. -pays special attention for the interpretation of these quantities and for describing the relationships between information theoretic estimators and traditional estimators. Readers need a basic knowledge of econometrics, but do not need prior knowledge of information theory. The survey is self contained and interested readers can replicate all results and examples provided. Whenever necessary the readers are referred to the relevant literature. Information and Entropy Econometrics - A Review and Synthesis will benefit researchers looking for a concise introduction to the basics of IEE and to acquire the basic tools necessary for using and understanding these methods. Applied researchers can use the book to learn improved new methods, and applications for extracting information from noisy and limited data and for learning from these data.
Author:
Publisher: ScholarlyEditions
Published: 2013-05-01
Total Pages: 741
ISBN-13: 1490108807
DOWNLOAD EBOOKIssues in Calculus, Mathematical Analysis, and Nonlinear Research: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Mathematical Analysis. The editors have built Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Mathematical Analysis in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Author: Terry Bossomaier
Publisher: Springer
Published: 2016-11-15
Total Pages: 210
ISBN-13: 3319432222
DOWNLOAD EBOOKThis book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.
Author: International Monetary Fund. Monetary and Capital Markets Department
Publisher: International Monetary Fund
Published: 2013-04-17
Total Pages: 160
ISBN-13: 1475589581
DOWNLOAD EBOOKThe Global Financial Stability Report examines current risks facing the global financial system and policy actions that may mitigate these. It analyzes the key challenges facing financial and nonfinancial firms as they continue to repair their balance sheets. Chapter 2 takes a closer look at whether sovereign credit default swaps markets are good indicators of sovereign credit risk. Chapter 3 examines unconventional monetary policy in some depth, including the policies pursued by the Federal Reserve, the Bank of England, the Bank of Japan, the European Central Bank, and the U.S. Federal Reserve.
Author: Svetlozar T. Rachev
Publisher:
Published: 2000-06-15
Total Pages: 886
ISBN-13:
DOWNLOAD EBOOKThis text is a comprehensive treatment of the Asset Pricing Theory, based on the assumption that returns are distributed non-normally. More general models are also considered and the corresponding formulae are derived, and it describes estimation techniques and presents empirical applications.
Author: Harald Atmanspacher
Publisher: Springer Science & Business Media
Published: 2013-11-11
Total Pages: 362
ISBN-13: 1489923055
DOWNLOAD EBOOKProceedings of a NATO ASI held in Irsee/Kaufbeuren, Germany, June 15--26, 1990
Author: Zhiyong Zheng
Publisher: Springer Nature
Published: 2021-02-08
Total Pages: 238
ISBN-13: 9811583730
DOWNLOAD EBOOKThis book contains high-quality papers presented at the First International Forum on Financial Mathematics and Financial Technology. With the rapid development of FinTech, the in-depth integration between mathematics, finance and advanced technology is the general trend. This book focuses on selected aspects of the current and upcoming trends in FinTech. In detail, the included scientific papers focus on financial mathematics and FinTech, presenting the innovative mathematical models and state-of-the-art technologies such as deep learning, with the aim to improve our financial analysis and decision-making and enhance the quality of financial services and risk control. The variety of the papers delivers added value for both scholars and practitioners where they will find perfect integration of elegant mathematical models and up-to-date data mining technologies in financial market analysis.
Author: Stanisław Drożdż
Publisher: MDPI
Published: 2021-05-11
Total Pages: 534
ISBN-13: 3036507949
DOWNLOAD EBOOKThere is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.
Author: Shigeyuki Hamori
Publisher: MDPI
Published: 2020-07-01
Total Pages: 230
ISBN-13: 3039362240
DOWNLOAD EBOOKArtificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.