Do Long-memory Models Have Long Memory?

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (535 download)

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Book Synopsis Do Long-memory Models Have Long Memory? by : Michael K. Andersson

Download or read book Do Long-memory Models Have Long Memory? written by Michael K. Andersson and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling Financial Time Series with S-PLUS

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Publisher : Springer Science & Business Media
ISBN 13 : 0387217630
Total Pages : 632 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Modeling Financial Time Series with S-PLUS by : Eric Zivot

Download or read book Modeling Financial Time Series with S-PLUS written by Eric Zivot and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.

Long-Memory Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 3642355129
Total Pages : 892 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Long-Memory Processes by : Jan Beran

Download or read book Long-Memory Processes written by Jan Beran and published by Springer Science & Business Media. This book was released on 2013-05-14 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles of such processes. This book provides a timely and comprehensive review, including a thorough discussion of mathematical and probabilistic foundations and statistical methods, emphasizing their practical motivation and mathematical justification. Proofs of the main theorems are provided and data examples illustrate practical aspects. This book will be a valuable resource for researchers and graduate students in statistics, mathematics, econometrics and other quantitative areas, as well as for practitioners and applied researchers who need to analyze data in which long memory, power laws, self-similar scaling or fractal properties are relevant.

Time Series with Long Memory

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Publisher : Advanced Texts in Econometrics
ISBN 13 : 9780199257300
Total Pages : 396 pages
Book Rating : 4.2/5 (573 download)

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Book Synopsis Time Series with Long Memory by : Peter M. Robinson

Download or read book Time Series with Long Memory written by Peter M. Robinson and published by Advanced Texts in Econometrics. This book was released on 2003 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long memory time series are characterized by a strong dependence between distant events.

Continuous Time Econometric Modelling

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Publisher : Oxford University Press, USA
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.:/5 (43 download)

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Book Synopsis Continuous Time Econometric Modelling by : Albert Rex Bergstrom

Download or read book Continuous Time Econometric Modelling written by Albert Rex Bergstrom and published by Oxford University Press, USA. This book was released on 1990 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistics for Long-Memory Processes

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Publisher : Routledge
ISBN 13 : 1351414119
Total Pages : 315 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Statistics for Long-Memory Processes by : Jan Beran

Download or read book Statistics for Long-Memory Processes written by Jan Beran and published by Routledge. This book was released on 2017-11-22 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range dependence. Presenting material that previously appeared only in journals, the author provides a concise and effective overview of probabilistic foundations, statistical methods, and applications. The material emphasizes basic principles and practical applications and provides an integrated perspective of both theory and practice. This book explores data sets from a wide range of disciplines, such as hydrology, climatology, telecommunications engineering, and high-precision physical measurement. The data sets are conveniently compiled in the index, and this allows readers to view statistical approaches in a practical context. Statistical Methods for Long Term Memory Processes also supplies S-PLUS programs for the major methods discussed. This feature allows the practitioner to apply long memory processes in daily data analysis. For newcomers to the area, the first three chapters provide the basic knowledge necessary for understanding the remainder of the material. To promote selective reading, the author presents the chapters independently. Combining essential methodologies with real-life applications, this outstanding volume is and indispensable reference for statisticians and scientists who analyze data with long-range dependence.

Modeling Human and Organizational Behavior

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Publisher : National Academies Press
ISBN 13 : 0309523893
Total Pages : 433 pages
Book Rating : 4.3/5 (95 download)

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Book Synopsis Modeling Human and Organizational Behavior by : Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations

Download or read book Modeling Human and Organizational Behavior written by Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations and published by National Academies Press. This book was released on 1998-08-14 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.

Time Series Analysis with Long Memory in View

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Publisher : John Wiley & Sons
ISBN 13 : 1119470285
Total Pages : 292 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Time Series Analysis with Long Memory in View by : Uwe Hassler

Download or read book Time Series Analysis with Long Memory in View written by Uwe Hassler and published by John Wiley & Sons. This book was released on 2018-09-07 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on long memory and fractional integration, which are embedded into the general framework. It presents the general theory of time series, including some issues that are not treated in other books on time series, such as ergodicity, persistence versus memory, asymptotic properties of the periodogram, and Whittle estimation. Further chapters address the general functional central limit theory, parametric and semiparametric estimation of the long memory parameter, and locally optimal tests. Intuitive and easy to read, Time Series Analysis with Long Memory in View offers chapters that cover: Stationary Processes; Moving Averages and Linear Processes; Frequency Domain Analysis; Differencing and Integration; Fractionally Integrated Processes; Sample Means; Parametric Estimators; Semiparametric Estimators; and Testing. It also discusses further topics. This book: Offers beginning-of-chapter examples as well as end-of-chapter technical arguments and proofs Contains many new results on long memory processes which have not appeared in previous and existing textbooks Takes a basic mathematics (Calculus) approach to the topic of time series analysis with long memory Contains 25 illustrative figures as well as lists of notations and acronyms Time Series Analysis with Long Memory in View is an ideal text for first year PhD students, researchers, and practitioners in statistics, econometrics, and any application area that uses time series over a long period. It would also benefit researchers, undergraduates, and practitioners in those areas who require a rigorous introduction to time series analysis.

Models of Human Memory

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Publisher : Elsevier
ISBN 13 : 1483258203
Total Pages : 556 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Models of Human Memory by : Donald A. Norman

Download or read book Models of Human Memory written by Donald A. Norman and published by Elsevier. This book was released on 2013-10-22 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models of Human Memory provides an overview of the state of knowledge on human memory models. The book begins with an introductory chapter on the basic stages of the memory system and the historical roots of memory models. The remaining chapters are organized into five parts. Part I on memory systems covers topics such as a system for perception and memory; multi-trace strength theory of memory; and a model for postperceptual verbal memory that postulates a single memory store, with multiple copies, called replicas, created in memory by rehearsal processes. Part II presents studies phoneme storage and word recognition. Part III on memory for associations examines the storage-retrieval theory for the memorizing processes and presents simple model of short-term memory (STM) for paired associates. Part IV on storage and retrieval mechanisms deals with mechanisms of repetition and rehearsal in short-term memory; models of recall and recognition; and memory search models. Part V presents a theory of human long-term associative memory; and examines conceptual and methodological interactions between information-processing investigations of cognitive activity and attempts to build models of memory.

Forecasting in the Presence of Structural Breaks and Model Uncertainty

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Publisher : Emerald Group Publishing
ISBN 13 : 044452942X
Total Pages : 691 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Forecasting in the Presence of Structural Breaks and Model Uncertainty by : David E. Rapach

Download or read book Forecasting in the Presence of Structural Breaks and Model Uncertainty written by David E. Rapach and published by Emerald Group Publishing. This book was released on 2008-02-29 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting in the presence of structural breaks and model uncertainty are active areas of research with implications for practical problems in forecasting. This book addresses forecasting variables from both Macroeconomics and Finance, and considers various methods of dealing with model instability and model uncertainty when forming forecasts.

The Structure of Long-term Memory

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Publisher : Psychology Press
ISBN 13 : 1134777701
Total Pages : 244 pages
Book Rating : 4.1/5 (347 download)

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Book Synopsis The Structure of Long-term Memory by : Wolfgang Klimesch

Download or read book The Structure of Long-term Memory written by Wolfgang Klimesch and published by Psychology Press. This book was released on 2013-05-13 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: How is information stored and retrieved from long-term memory? It is argued that any systematic attempt to answer this question should be based on a particular set of specific representational assumptions that have led to the development of a new memory theory -- the connectivity model. One of the crucial predictions of this model is that, in sharp contrast to traditional theories, the speed of processing information increases as the amount and complexity of integrated knowledge increases. In this volume, the predictions of the model are examined by analyzing the results of a variety of different experiments and by studying the outcome of the simulation program CONN1, which illustrates the representation of complex semantic structures. In the final chapter, the representational assumptions of the connectivity model are evaluated on the basis of neuroanatomical and physiological evidence -- suggesting that neuroscience provides valuable knowledge which should guide the development of memory theories.

Varieties of Long Memory Models

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (594 download)

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Book Synopsis Varieties of Long Memory Models by : Clive William John Granger

Download or read book Varieties of Long Memory Models written by Clive William John Granger and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Discovering the Brain

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Publisher : National Academies Press
ISBN 13 : 0309045290
Total Pages : 195 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Discovering the Brain by : National Academy of Sciences

Download or read book Discovering the Brain written by National Academy of Sciences and published by National Academies Press. This book was released on 1992-01-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain ... There is no other part of the human anatomy that is so intriguing. How does it develop and function and why does it sometimes, tragically, degenerate? The answers are complex. In Discovering the Brain, science writer Sandra Ackerman cuts through the complexity to bring this vital topic to the public. The 1990s were declared the "Decade of the Brain" by former President Bush, and the neuroscience community responded with a host of new investigations and conferences. Discovering the Brain is based on the Institute of Medicine conference, Decade of the Brain: Frontiers in Neuroscience and Brain Research. Discovering the Brain is a "field guide" to the brainâ€"an easy-to-read discussion of the brain's physical structure and where functions such as language and music appreciation lie. Ackerman examines: How electrical and chemical signals are conveyed in the brain. The mechanisms by which we see, hear, think, and pay attentionâ€"and how a "gut feeling" actually originates in the brain. Learning and memory retention, including parallels to computer memory and what they might tell us about our own mental capacity. Development of the brain throughout the life span, with a look at the aging brain. Ackerman provides an enlightening chapter on the connection between the brain's physical condition and various mental disorders and notes what progress can realistically be made toward the prevention and treatment of stroke and other ailments. Finally, she explores the potential for major advances during the "Decade of the Brain," with a look at medical imaging techniquesâ€"what various technologies can and cannot tell usâ€"and how the public and private sectors can contribute to continued advances in neuroscience. This highly readable volume will provide the public and policymakersâ€"and many scientists as wellâ€"with a helpful guide to understanding the many discoveries that are sure to be announced throughout the "Decade of the Brain."

An Introduction to High-Frequency Finance

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Publisher : Elsevier
ISBN 13 : 008049904X
Total Pages : 411 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis An Introduction to High-Frequency Finance by : Ramazan Gençay

Download or read book An Introduction to High-Frequency Finance written by Ramazan Gençay and published by Elsevier. This book was released on 2001-05-29 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data. This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.

Time Series and Dynamic Models

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Publisher : Cambridge University Press
ISBN 13 : 9780521411462
Total Pages : 692 pages
Book Rating : 4.4/5 (114 download)

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Book Synopsis Time Series and Dynamic Models by : Christian Gourieroux

Download or read book Time Series and Dynamic Models written by Christian Gourieroux and published by Cambridge University Press. This book was released on 1997 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book Christian Gourieroux and Alain Monfort provide an up-to-date and comprehensive analysis of modern time series econometrics. They have succeeded in synthesising in an organised and integrated way a broad and diverse literature. While the book does not assume a deep knowledge of economics, one of its most attractive features is the close attention it pays to economic models and phenomena throughout. The coverage represents a major reference tool for graduate students, researchers and applied economists. The book is divided into four sections. Section one gives a detailed treatment of classical seasonal adjustment or smoothing methods. Section two provides a thorough coverage of various mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks, multipliers, cointegration and fractionally integrated models. The final section describes the main contribution of filtering and smoothing theory to time series econometric problems.

Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)

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Publisher : World Scientific
ISBN 13 : 9811202400
Total Pages : 5053 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes) by : Cheng Few Lee

Download or read book Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes) written by Cheng Few Lee and published by World Scientific. This book was released on 2020-07-30 with total page 5053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Long Memory in Economics

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Publisher : Springer Science & Business Media
ISBN 13 : 3540346252
Total Pages : 394 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Long Memory in Economics by : Gilles Teyssière

Download or read book Long Memory in Economics written by Gilles Teyssière and published by Springer Science & Business Media. This book was released on 2006-09-22 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assembles three different strands of long memory analysis: statistical literature on the properties of, and tests for, LRD processes; mathematical literature on the stochastic processes involved; and models from economic theory providing plausible micro foundations for the occurrence of long memory in economics.