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Author: Francesco Calvori Publisher: ISBN: Category : Languages : en Pages : 40
Book Description
We develop a new parameter stability test against the alternative of observation driven generalized autoregressive score dynamics. The new test generalizes the ARCH-LM test of Engle (1982) to settings beyond time-varying volatility and exploits any autocorrelation in the likelihood scores under the alternative. We compare the test's performance with that of alternative tests developed for competing time-varying parameter frameworks, such as structural breaks and observation driven parameter dynamics. The new test has higher and more stable power against alternatives with frequent regime switches or with non-local parameter driven time-variation. For parameter driven time variation close to the null or for infrequent structural changes, the test of Muller and Petalas (2010) performs best overall. We apply all tests empirically to a panel of losses given default over the period 1982-2010 and find significant evidence of parameter variation in the underlying beta distribution.
Author: Francesco Calvori Publisher: ISBN: Category : Languages : en Pages : 40
Book Description
We develop a new parameter stability test against the alternative of observation driven generalized autoregressive score dynamics. The new test generalizes the ARCH-LM test of Engle (1982) to settings beyond time-varying volatility and exploits any autocorrelation in the likelihood scores under the alternative. We compare the test's performance with that of alternative tests developed for competing time-varying parameter frameworks, such as structural breaks and observation driven parameter dynamics. The new test has higher and more stable power against alternatives with frequent regime switches or with non-local parameter driven time-variation. For parameter driven time variation close to the null or for infrequent structural changes, the test of Muller and Petalas (2010) performs best overall. We apply all tests empirically to a panel of losses given default over the period 1982-2010 and find significant evidence of parameter variation in the underlying beta distribution.
Author: Alastair R. Hall Publisher: Oxford University Press ISBN: 0198775210 Category : Business & Economics Languages : en Pages : 413
Book Description
Generalized Method of Moments (GMM) has become one of the main statistical tools for the analysis of economic and financial data. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recentimportant developments in the field. Providing a comprehensive treatment of GMM estimation and inference, it is designed as a resource for both the theory and practice of GMM: it discusses and proves formally all the main statistical results, and illustrates all inference techniques using empiricalexamples in macroeconomics and finance.Building from the instrumental variables estimator in static linear models, it presents the asymptotic statistical theory of GMM in nonlinear dynamic models. Within this framework it covers classical results on estimation and inference techniques, such as the overidentifying restrictions test andtests of structural stability, and reviews the finite sample performance of these inference methods. And it discusses in detail recent developments on covariance matrix estimation, the impact of model misspecification, moment selection, the use of the bootstrap, and weak instrumentasymptotics.
Author: Nigar Hashimzade Publisher: Edward Elgar Publishing ISBN: 0857931024 Category : Business & Economics Languages : en Pages : 627
Book Description
This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading. Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalised method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macro and econometrics.
Author: Shin Haruta Publisher: Frontiers Media SA ISBN: 2889451690 Category : Languages : en Pages : 158
Book Description
“How can we develop microbial ecological theory?” The development of microbial ecological theory has a long way to reach its goal. Advances in microbial ecological techniques provide novel insights into microbial ecosystems. Articles in this book are challenging to determine the central and general tenets of the ecological theory that describes the features of microbial ecosystems. Their achievements expand the frontiers of current microbial ecology and propose the next step. Assemblage of these diverse articles hopefully helps to go on this long journey with many avenues for advancement of microbial ecology.
Author: Laszlo Matyas Publisher: Cambridge University Press ISBN: 9780521669672 Category : Business & Economics Languages : en Pages : 332
Book Description
The generalized method of moments (GMM) estimation has emerged as providing a ready to use, flexible tool of application to a large number of econometric and economic models by relying on mild, plausible assumptions. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation theory in econometrics. Contributors to the volume include well-known authorities in the field based in North America, the UK/Europe, and Australia. The work is likely to become a standard reference for graduate students and professionals in economics, statistics, financial modeling, and applied mathematics.
Author: Paul Scheffler Publisher: Logos Verlag Berlin GmbH ISBN: 3832540857 Category : Business & Economics Languages : en Pages : 184
Book Description
In today's times, more and more companies pursue global sourcing strategies in some form and to some extent. The most prominent reason for the increased interest in global sourcing is the idea to benefit from factor cost differences between sourcing regions. However, recent research indicates that cross-border sourcing is no panacea to generate cost savings. There are situations in which international sourcing does not lead to the intended price reductions or even causes expensive backsourcing activities. Accordingly, the ambiguous image of global sourcing is the point of departure for the dissertation at hand. Thus, the main purpose of this thesis is to explore how global sourcing can contribute to a firm’s purchasing performance. The results indicate that the accumulation of social capital between the buying organisation and its international suppliers can increase the sourcing success. However, given the limited amount of resources for those intimate buyer-supplier relationships, close partnerships cannot be maintained with all suppliers. Consequently, the research at hand points in the direction that global sourcing can be a means to increase the intensity of competition in supply markets, facilitating the pursuit of more adversarial relationships.
Author: Sahbi Farhani Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
This paper considers tests of parameters instability and structural change with known, unknown or multiple breakpoints. The results apply to a wide class of parametric models that are suitable for estimation by strong rules for detecting the number of breaks in a time series. For that, we use Chow, CUSUM, CUSUM of squares, Wald, likelihood ratio and Lagrange multiplier tests. Each test implicitly uses an estimate of a change point. We conclude with an empirical analysis on two different models (ARMA model and simple linear regression model 'SLRM').
Author: Marco Pellegrini Publisher: Frontiers Media SA ISBN: 288963650X Category : Languages : en Pages : 270
Book Description
Network science has accelerated a deep and successful trend in research that influences a range of disciplines like mathematics, graph theory, physics, statistics, data science and computer science (just to name a few) and adapts the relevant techniques and insights to address relevant but disparate social, biological, technological questions. We are now in an era of 'big biological data' supported by cost-effective high-throughput genomic, transcriptomic, proteomic, metabolomic data collection techniques that allow one to take snapshots of the cells' molecular profiles in a systematic fashion. Moreover recently, also phenotypic data, data on diseases, symptoms, patients, etc. are being collected at nation-wide level thus giving us another source of highly related (causal) 'big data'. This wealth of data is usually modeled as networks (aka binary relations, graphs or webs) of interactions, (including protein-protein, metabolic, signaling and transcription-regulatory interactions). The network model is a key view point leading to the uncovering of mesoscale phenomena, thus providing an essential bridge between the observable phenotypes and 'omics' underlying mechanisms. Moreover, network analysis is a powerful 'hypothesis generation' tool guiding the scientific cycle of 'data gathering', 'data interpretation, 'hypothesis generation' and 'hypothesis testing'. A major challenge in contemporary research is the synthesis of deep insights coming from network science with the wealth of data (often noisy, contradictory, incomplete and difficult to replicate) so to answer meaningful biological questions, in a quantifiable way using static and dynamic properties of biological networks.
Author: Francesco Calvori
Author: Francesco Calvori
Author: Giancarlo Moschini
Author: Alastair R. Hall
Author: Nigar Hashimzade
Author: Shin Haruta
Author: Laszlo Matyas
Author: arthur d. warga
Author: Paul Scheffler
Author: Sahbi Farhani
Author: Marco Pellegrini