مدل معافیت های ساختاری، حافظه طولانی مدت و نوسانات بازار سهام : یک مرور کلی
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|19524||2005||34 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Journal of Econometrics, Volume 129, Issues 1–2, November–December 2005, Pages 1–34
The main aim of this volume is to present key recent developments in the fields of modelling structural breaks, and the analysis of long memory and stock market volatility.
This special annals-issue of the Journal of Econometrics contains a collection of papers from the conference on “Long Memory, Structural Breaks and Stock Market Volatility”, organized by us in London at the Cass Business School from the 5th to the 7th of December 2002. Modelling strong persistence in time series has constituted a major research agenda in the econometrics literature for a number of years. One approach has been to look at the long-memory properties of time series and to study mechanisms which generate series having these properties, such as the various forms of fractionally integrated, autoregressive moving average and non-linear models. In the macroeconometrics literature, attention has focused more on looking at the properties of stochastic processes with unit roots. Unit root processes can be viewed as a specific form of long memory. A significant strand of the debate has also considered the properties of tests for unit root, cointegration or long memory in the presence of structural breaks. It has been shown that persistence tests are severely compromised, in terms of their size and power properties, in series which display breaks, particularly in their deterministic components, because these processes give the impression of persistence. These issues all have wider reach and the interface between the literatures on unit roots, structural breaks and long memory is often important. Our editorial introduction is in two parts and consists of discussing the developments in the literatures on structural breaks and long memory, with specific applications. Our goal is to obtain an overall sense of the main frameworks under which research in these areas has so far been conducted. The papers in this volume, belonging to each area, are then placed within these frameworks and their contributions are discussed. The invited keynote address by Nobel Laureate Professor Clive Granger proposes some key areas for further developments in the literature. Although based on considering a vast number of papers, our approach in writing this introduction is necessarily selective. However, during the course of preparation of this volume, a key resource for econometricians has been the compilation of an archive contained in a CD-Rom (available freely from us upon request) of the majority of recently published papers in these areas. Details of papers not included in this introduction may thus be consulted with ease.