Statistical Theory and Method Abstracts

Statistical Theory and Method Abstracts PDF Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 562

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Book Description

Statistical Theory and Method Abstracts

Statistical Theory and Method Abstracts PDF Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 562

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Book Description


Dissertation Abstracts International

Dissertation Abstracts International PDF Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 372

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Handbook of Economic Forecasting

Handbook of Economic Forecasting PDF Author: G. Elliott
Publisher: Elsevier
ISBN: 0444513957
Category : Business & Economics
Languages : en
Pages : 1071

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Book Description
Section headings in this handbook include: 'Forecasting Methodology; 'Forecasting Models'; 'Forecasting with Different Data Structures'; and 'Applications of Forecasting Methods.'.

Index to American Doctoral Dissertations

Index to American Doctoral Dissertations PDF Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 606

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Book Description


Modelling Nonlinear Economic Time Series

Modelling Nonlinear Economic Time Series PDF Author: Timo Teräsvirta
Publisher: OUP Oxford
ISBN: 9780199587148
Category : Business & Economics
Languages : en
Pages : 592

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Book Description
This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The book contains examples of nonlinear models in economic theory and presents the most common nonlinear time series models. Importantly, it shows the reader how to apply these models in practice. For thispurpose, the building of various nonlinear models with its three stages of model building: specification, estimation and evaluation, is discussed in detail and is illustrated by several examples involving both economic and non-economic data. Since estimation of nonlinear time series models is carried outusing numerical algorithms, the book contains a chapter on estimating parametric nonlinear models and another on estimating nonparametric ones.Forecasting is a major reason for building time series models, linear or nonlinear. The book contains a discussion on forecasting with nonlinear models, both parametric and nonparametric, and considers numerical techniques necessary for computing multi-period forecasts from them. The main focus of the book is on models of the conditional mean, but models of the conditional variance, mainly those of autoregressive conditional heteroskedasticity, receive attention as well. A separate chapter isdevoted to state space models. As a whole, the book is an indispensable tool for researchers interested in nonlinear time series and is also suitable for teaching courses in econometrics and time series analysis.

Essentials of Time Series for Financial Applications

Essentials of Time Series for Financial Applications PDF Author: Massimo Guidolin
Publisher: Academic Press
ISBN: 0128134100
Category : Business & Economics
Languages : en
Pages : 435

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Book Description
Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset management, quant strategies, and risk management). Real-life data and examples developed with EViews illustrate the links between the formal apparatus and the applications. The examples either directly exploit the tools that EViews makes available or use programs that by employing EViews implement specific topics or techniques. The book balances a formal framework with as few proofs as possible against many examples that support its central ideas. Boxes are used throughout to remind readers of technical aspects and definitions and to present examples in a compact fashion, with full details (workout files) available in an on-line appendix. The more advanced chapters provide discussion sections that refer to more advanced textbooks or detailed proofs. - Provides practical, hands-on examples in time-series econometrics - Presents a more application-oriented, less technical book on financial econometrics - Offers rigorous coverage, including technical aspects and references for the proofs, despite being an introduction - Features examples worked out in EViews (9 or higher)

Business Cycles, Indicators, and Forecasting

Business Cycles, Indicators, and Forecasting PDF Author: James H. Stock
Publisher: University of Chicago Press
ISBN: 0226774740
Category : Business & Economics
Languages : en
Pages : 350

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Book Description
The inability of forecasters to predict accurately the 1990-1991 recession emphasizes the need for better ways for charting the course of the economy. In this volume, leading economists examine forecasting techniques developed over the past ten years, compare their performance to traditional econometric models, and discuss new methods for forecasting and time series analysis.

Multiple Time Series Models

Multiple Time Series Models PDF Author: Patrick T. Brandt
Publisher: SAGE
ISBN: 1412906563
Category : Mathematics
Languages : en
Pages : 121

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Book Description
Many analyses of time series data involve multiple, related variables. Modeling Multiple Time Series presents many specification choices and special challenges. This book reviews the main competing approaches to modeling multiple time series: simultaneous equations, ARIMA, error correction models, and vector autoregression. The text focuses on vector autoregression (VAR) models as a generalization of the other approaches mentioned. Specification, estimation, and inference using these models is discussed. The authors also review arguments for and against using multi-equation time series models. Two complete, worked examples show how VAR models can be employed. An appendix discusses software that can be used for multiple time series models and software code for replicating the examples is available. Key Features: * Offers a detailed comparison of different time series methods and approaches. * Includes a self-contained introduction to vector autoregression modeling. * Situates multiple time series modeling as a natural extension of commonly taught statistical models.

Econometric Modelling of World Shipping

Econometric Modelling of World Shipping PDF Author: M. Beenstock
Publisher: Springer Science & Business Media
ISBN: 9780412367205
Category : Business & Economics
Languages : en
Pages : 274

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Book Description
Econometric Modelling of World Shipping describes an economic model that may be used to forecast world shipping markets. A unique feature of the model is that it relates to both sectors of world shipping, the dry cargo sector and the tanker sector. This is the first time that a model of this type has been published. This book also breaks new ground in explaining the behaviour of vessel prices, both new and secondhand.

Dynamic Factor Models

Dynamic Factor Models PDF Author: Jörg Breitung
Publisher:
ISBN: 9783865580979
Category :
Languages : en
Pages : 29

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Book Description