Analysis Of Integrated And Cointegrated Time Series With R
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Analysis Of Integrated And Cointegrated Time Series With R
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Author : Bernhard Pfaff
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-03
Analysis Of Integrated And Cointegrated Time Series With R written by Bernhard Pfaff 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 2008-09-03 with Business & Economics categories.
This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
Applied Econometrics With R
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Author : Christian Kleiber
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-10
Applied Econometrics With R written by Christian Kleiber 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 2008-12-10 with Business & Economics categories.
R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.
Analysis Of Integrated And Cointegrated Time Series With R
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Author : Bernhard Pfaff
language : en
Publisher: Springer
Release Date : 2008-11-01
Analysis Of Integrated And Cointegrated Time Series With R written by Bernhard Pfaff and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-01 with Mathematics categories.
This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
Unit Roots Cointegration And Structural Change
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Author : G. S. Maddala
language : en
Publisher: Cambridge University Press
Release Date : 1998
Unit Roots Cointegration And Structural Change written by G. S. Maddala and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business & Economics categories.
Time series analysis has undergone many changes in recent years with the advent of unit roots and cointegration. Maddala and Kim present a comprehensive review of these important developments and examine structural change. The volume provides an analysis of unit root tests, problems with unit root testing, estimation of cointegration systems, cointegration tests, and econometric estimation with integrated regressors. The authors also present the Bayesian approach to these problems and bootstrap methods for small-sample inference. The chapters on structural change discuss the problems of unit root tests and cointegration under structural change, outliers and robust methods, the Markov-switching model and Harvey's structural time series model. Unit Roots, Cointegration and Structural Change is a major contribution to Themes in Modern Econometrics, of interest both to specialists and graduate and upper-undergraduate students.
Introductory Time Series With R
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Author : Paul S.P. Cowpertwait
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-28
Introductory Time Series With R written by Paul S.P. Cowpertwait 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 2009-05-28 with Mathematics categories.
This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R function used to fit the model to data. Finally, the model is used to analyse observed data taken from a practical application. By using R, the whole procedure can be reproduced by the reader. All the data sets used in the book are available on the website http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/. The book is written for undergraduate students of mathematics, economics, business and finance, geography, engineering and related disciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their research.
Global Stock Market Integration
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Author : Sabur Mollah
language : en
Publisher: Springer
Release Date : 2016-02-10
Global Stock Market Integration written by Sabur Mollah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-10 with Business & Economics categories.
Stock market integration between developing and emerging markets has numerous benefits for creating a global - yet stable - world economy. It increases competition and the efficiency of local markets, in turn reducing price volatility and the cost of capital among integrated markets. It also generates capital flows, which enhance financial stability and spur economic growth. At its core, stock market integration has an important role to play in both developing and emerging markets still reeling from the global financial crisis. Global Stock Market Integration analyzes the financial makeup of developing and emerging markets around the world, providing empirical insights into market integration, co-movements in price, crises, and efficiency linkages. Mobarek and Mollah argue that the relationship between market integration and market efficiency within developing and emerging countries is not the only measure necessary for effecting real financial growth. This work brings the review of theories and empirical research on the topic up-to-date and expands the existing literature with new perspectives on developed and emerging markets.
Statistical Methods For Environmental Epidemiology With R
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Author : Roger D. Peng
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-15
Statistical Methods For Environmental Epidemiology With R written by Roger D. Peng 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 2008-12-15 with Medical categories.
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.
New Facets Of Economic Complexity In Modern Financial Markets
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Author : Catherine Kyrtsou
language : en
Publisher: Routledge
Release Date : 2020-06-04
New Facets Of Economic Complexity In Modern Financial Markets written by Catherine Kyrtsou and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-04 with Business & Economics categories.
The book is motivated by the disruptions introduced by the financial crisis and the many attempts that have followed to propose new ideas and remedies. Assembling contributions by authors from a variety of backgrounds, this collection illustrates the potentials resulting from the marriage of financial economics, complexity theory and an out-of-equilibrium view of the economic world. Challenging the traditional hypotheses that lie behind financial market functioning, new evidence is provided about the hidden factors fuelling bubbles, the impact of agents’ heterogeneity, the importance of endogeneity in the information transmission mechanism, the dynamics of herding, the sources of volatility, the portfolio optimization techniques, the financial innovation and the trend identification in a nonlinear time-series framework. Presenting the advances made in financial market analysis, and putting emphasis on nonlinear dynamics, this book suggests interdisciplinary methodologies for the study of well-known stylised facts and financial abnormalities. This book was originally published as a special issue of The European Journal of Finance.
Ifrs 9 And Cecl Credit Risk Modelling And Validation
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Author : Tiziano Bellini
language : en
Publisher: Academic Press
Release Date : 2019-01-15
Ifrs 9 And Cecl Credit Risk Modelling And Validation written by Tiziano Bellini and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-15 with Business & Economics categories.
IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management. - Offers a broad survey that explains which models work best for mortgage, small business, cards, commercial real estate, commercial loans and other credit products - Concentrates on specific aspects of the modelling process by focusing on lifetime estimates - Provides an hands-on approach to enable readers to perform model development, validation and audit of credit risk models