Semiparametric Exploration of Long Memory in Stock Prices

New or modified methods for semiparametric analysis of fractional long memory in time series are described and applied to twenty-six stock prices and two stock indices. Evidence is found that some, but not all, of the stocks have long memory, while one of the indices exhibits mean reversion.

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Bibliographic Details
Main Authors: LEE, David K. C., ROBINSON, Peter M.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1996
Subjects:
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/3363
https://ink.library.smu.edu.sg/context/lkcsb_research/article/4362/viewcontent/SemiparametricExplorationLongMemoryStockPrices_1996.pdf
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Institution: Singapore Management University
Language: English