Author : Michael P. Clements
Publisher : OUP USA
Page : 732 pages
File Size : 43,40 MB
Release : 2011-07-08
Category : Business & Economics
ISBN : 0195398645
Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models.
Author : Svetlana G. Maximova
Publisher : Springer Nature
Page : 1221 pages
File Size : 39,33 MB
Release : 2023-06-29
Category : Technology & Engineering
ISBN : 3031238567
This edited book considers social systems as self-organizing structures that reproduce new structural elements endowed with certain functional connections. The authors analyze innovative processes in social systems, leading to the sustainable convergence of knowledge and the emergence of technologies that improve the level of material well-being in society. The book summarizes research results in the field of digitalization and reveals deep connections with social problems. In addition, the book presents a whole array of innovative research on social systems management and the application of knowledge and intelligence to the solution of social problems. The contributing scholars and practitioners reflect on various types of social systems and assess the influence of disruptive factors from natural and coupled human-natural environments, discussing possible mechanisms for their neutralization. Sustainable development of social systems is among the most important tasks facing the contemporary world. The contributed book highlights challenges to the sustainability of social systems, draws sociotechnical images of the future world order generated by the rapid development of intellectual technologies, and critically analyzes promising concepts for more sustainable social future. Among the discussed topics in the book are social governance, digital economy, technological landscapes, social systems modeling and simulation, cyber-social systems, knowledge-based innovation systems, complex processes in social systems, institutional arrangements, and other advancing research areas. The high-quality and original studies presented in the book appeal to those interested in broadening their perspectives on complexity science, complex social systems research, complex systems management, advanced technological development in social systems, etc. Since the book is rich with well-thought theories, advanced research approaches, and interdisciplinary research results, it becomes a great source of new ideas and insights on complex social systems.
Author : Siem Jan Koopman
Publisher : Emerald Group Publishing
Page : 685 pages
File Size : 23,19 MB
Release : 2016-01-08
Category : Business & Economics
ISBN : 1785603523
This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
Author : Francis X. Diebold
Publisher : Princeton University Press
Page : 223 pages
File Size : 36,81 MB
Release : 2013-01-15
Category : Business & Economics
ISBN : 0691146802
Understanding the dynamic evolution of the yield curve is critical to many financial tasks, including pricing financial assets and their derivatives, managing financial risk, allocating portfolios, structuring fiscal debt, conducting monetary policy, and valuing capital goods. Unfortunately, most yield curve models tend to be theoretically rigorous but empirically disappointing, or empirically successful but theoretically lacking. In this book, Francis Diebold and Glenn Rudebusch propose two extensions of the classic yield curve model of Nelson and Siegel that are both theoretically rigorous and empirically successful. The first extension is the dynamic Nelson-Siegel model (DNS), while the second takes this dynamic version and makes it arbitrage-free (AFNS). Diebold and Rudebusch show how these two models are just slightly different implementations of a single unified approach to dynamic yield curve modeling and forecasting. They emphasize both descriptive and efficient-markets aspects, they pay special attention to the links between the yield curve and macroeconomic fundamentals, and they show why DNS and AFNS are likely to remain of lasting appeal even as alternative arbitrage-free models are developed. Based on the Econometric and Tinbergen Institutes Lectures, Yield Curve Modeling and Forecasting contains essential tools with enhanced utility for academics, central banks, governments, and industry.
Author : Wayne Ferson
Publisher : MIT Press
Page : 497 pages
File Size : 16,23 MB
Release : 2019-03-12
Category : Business & Economics
ISBN : 0262039370
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author : Natalya Shakhovska
Publisher : Springer Nature
Page : 1190 pages
File Size : 11,32 MB
Release : 2020-12-22
Category : Technology & Engineering
ISBN : 3030632709
This book reports on new theories and applications in the field of intelligent systems and computing. It covers cutting-edge computational and artificial intelligence methods, advances in computer vision, big data, cloud computing, and computation linguistics, as well as cyber-physical and intelligent information management systems. The respective chapters are based on selected papers presented at the workshop on intelligent systems and computing, held during the International Conference on Computer Science and Information Technologies, CSIT 2020, which was jointly organized on September 23-26, 2020, by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.
Author : Maximo Camacho
Publisher :
Page : 74 pages
File Size : 11,29 MB
Release : 2013-11-01
Category : Business & Economics
ISBN : 9781601987426
Short-term Forecasting for Empirical Economists seeks to close the gap between research and applied short-term forecasting. The authors review some of the key theoretical results and empirical findings in the recent literature on short-term forecasting, and translate these findings into economically meaningful techniques to facilitate their widespread application to compute short-term forecasts in economics, and to monitor the ongoing business cycle developments in real time.
Author : Hsiang-Chuan Liu
Publisher : CRC Press
Page : 838 pages
File Size : 24,9 MB
Release : 2013-10-11
Category : Computers
ISBN : 1138000795
This proceedings volume brings together some 189 peer-reviewed papers presented at the International Conference on Information Technology and Computer Application Engineering, held 27-28 August 2013, in Hong Kong, China. Specific topics under consideration include Control, Robotics, and Automation, Information Technology, Intelligent Computing and Telecommunication, Computer Science and Engineering, Computer Education and Application and other related topics. This book provides readers a state-of-the-art survey of recent innovations and research worldwide in Information Technology and Computer Application Engineering, in so-doing furthering the development and growth of these research fields, strengthening international academic cooperation and communication, and promoting the fruitful exchange of research ideas. This volume will be of interest to professionals and academics alike, serving as a broad overview of the latest advances in the dynamic field of Information Technology and Computer Application Engineering.
Author : Amy Finkelstein
Publisher : Columbia University Press
Page : 161 pages
File Size : 35,53 MB
Release : 2014-12-02
Category : Medical
ISBN : 0231538685
Addressing the challenge of covering heath care expenses—while minimizing economic risks. Moral hazard—the tendency to change behavior when the cost of that behavior will be borne by others—is a particularly tricky question when considering health care. Kenneth J. Arrow’s seminal 1963 paper on this topic (included in this volume) was one of the first to explore the implication of moral hazard for health care, and Amy Finkelstein—recognized as one of the world’s foremost experts on the topic—here examines this issue in the context of contemporary American health care policy. Drawing on research from both the original RAND Health Insurance Experiment and her own research, including a 2008 Health Insurance Experiment in Oregon, Finkelstein presents compelling evidence that health insurance does indeed affect medical spending and encourages policy solutions that acknowledge and account for this. The volume also features commentaries and insights from other renowned economists, including an introduction by Joseph P. Newhouse that provides context for the discussion, a commentary from Jonathan Gruber that considers provider-side moral hazard, and reflections from Joseph E. Stiglitz and Kenneth J. Arrow. “Reads like a fireside chat among a group of distinguished, articulate health economists.” —Choice
Author : Janet M. Box-Steffensmeier
Publisher : Cambridge University Press
Page : 297 pages
File Size : 46,16 MB
Release : 2014-12-22
Category : Political Science
ISBN : 1316060500
Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.
