Robustness And The General Dynamic Factor Model With Infinite Dimensional Space
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Author | : Carlos Trucíos |
Publisher | : |
Total Pages | : 33 |
Release | : 2020 |
Genre | : |
ISBN | : |
General dynamic factor models have demonstrated their capacity to circumvent the curse of dimensionality in the analysis of high-dimensional time series and have been successfully considered in many economic and financial applications. Being second-order models, however, they are sensitive to the presence of outliers--an issue that has not been analyzed so far in the general case of dynamic factors with possibly infinite-dimensional factor spaces (Forni et al.~2000, 2015, 2017). In this paper, we consider this robustness issue and study the impact of additive outliers on the identification, estimation, and forecasting performance of general dynamic factor models. Based on our findings, we propose robust versions of identification, estimation and forecasting procedures. The finite-sample performance of our methods is evaluated via Monte Carlo experiments and successfully applied to a classical dataset of 115 US macroeconomic and financial time series.
Author | : Mengxi Yi |
Publisher | : Springer Nature |
Total Pages | : 500 |
Release | : 2023-04-19 |
Genre | : Mathematics |
ISBN | : 3031226879 |
This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler’s shape matrix.
Author | : Mario Forni |
Publisher | : |
Total Pages | : 51 |
Release | : 2015 |
Genre | : Econometric models |
ISBN | : |
Factor models, all particular cases of the Generalized Dynamic Factor Model (GDFM) introduced in Forni, Hallin, Lippi and Reichlin (2000), have become extremely popular in the theory and practice of large panels of time series data. The asymptotic properties (consistency and rates) of the corresponding estimators have been studied in Forni, Hallin, Lippi and Reichlin (2004). Those estimators, however, rely on Brillinger's dynamic principal components, and thus involve two-sided filters, which leads to rather poor forecasting performances. No such problem arises with estimators based on standard (static) principal components, which have been dominant in this literature. On the other hand, the consistency of those static estimators requires the assumption that the space spanned by the factors has finite dimension, which severely restricts the generality afforded by the GDFM. This paper derives the asymptotic properties of a semiparametric estimator of the loadings and common shocks based on one-sided filters recently proposed by Forni, Hallin, Lippi and Zaffaroni (2015). Consistency and exact rates of convergence are obtained for this estimator, under a general class of GDFMs that does not require a finite-dimensional factor space. A Monte Carlo experiment corroborates those theoretical results and demonstrates the excellent performance of those estimators in out-of-sample forecasting.
Author | : Nguyen Ngoc Thach |
Publisher | : Springer Nature |
Total Pages | : 724 |
Release | : |
Genre | : |
ISBN | : 3031591100 |
Author | : Mario Forni |
Publisher | : |
Total Pages | : 51 |
Release | : 2015 |
Genre | : Econometric models |
ISBN | : |
Author | : Mahir Binici |
Publisher | : International Monetary Fund |
Total Pages | : 42 |
Release | : 2022-12-09 |
Genre | : Business & Economics |
ISBN | : |
Global inflation has surged to 7.5 percent in August 2022, from an average of 2.1 percent in the decade preceding the COVID-19 pandemic, threatening to become an entrenched phenomenon. This paper disentangles the confluence of contributing factors to the post-pandemic rise in consumer price inflation, using monthly data and a battery of econometric methodologies covering a panel of 30 European countries over the period 2002-2022. We find that while global factors continue to shape inflation dynamics throughout Europe, country-specific factors, including monetary and fiscal policy responses to the crisis, have also gained greater prominence in determining consumer price inflation during the pandemic period. Coupled with increasing persistence in inflation, these structural shifts call for significant and an extended period of monetary tightening and fiscal realignment.
Author | : Vladimir G. Boltyanski |
Publisher | : Springer Science & Business Media |
Total Pages | : 440 |
Release | : 2011-11-06 |
Genre | : Science |
ISBN | : 0817681523 |
Covering some of the key areas of optimal control theory (OCT), a rapidly expanding field, the authors use new methods to set out a version of OCT’s more refined ‘maximum principle.’ The results obtained have applications in production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games. This book explores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control.
Author | : Marc Hallin |
Publisher | : World Scientific Publishing Company |
Total Pages | : 764 |
Release | : 2020-03-30 |
Genre | : Business & Economics |
ISBN | : 9789813278004 |
Factor models have become the most successful tool in the analysis and forecasting of high-dimensional time series. This monograph provides an extensive account of the so-called General Dynamic Factor Model methods. The topics covered include: asymptotic representation problems, estimation, forecasting, identification of the number of factors, identification of structural shocks, volatility analysis, and applications to macroeconomic and financial data.
Author | : C.T. Leonides |
Publisher | : Elsevier |
Total Pages | : 491 |
Release | : 2012-12-02 |
Genre | : Technology & Engineering |
ISBN | : 0323163068 |
Control and Dynamic Systems: Advances in Theory and Application, Volume 51: Robust Control System Techniques and Applications Part 2 of 2 discusses system robustness techniques. This volume presents a comprehensive treatment of robust system techniques in nonlinear, linear, and multilinear interval systems. It also covers techniques for dealing with system disturbances, system modeling approximations, and parameter uncertainties. This volume ends by reviewing robustness techniques for systems with structured state space uncertainty. This volume will be of great use as a reference source for mechanical and electrical engineers.
Author | : |
Publisher | : |
Total Pages | : 700 |
Release | : 1990 |
Genre | : Large space structures (Astronautics) |
ISBN | : |