Six Decades of Significant Autocorrelation in the U.S. Stock Market

Autor:	William J. Egan
Rok vydání:	2008
Předmět:	Box–Jenkins Autoregressive model Moving average Autocorrelation Statistics Economics Econometrics Stock market Autoregressive integrated moving average Partial autocorrelation function Stock market index
Zdroj:	SSRN Electronic Journal.
ISSN:	1556-5068 1962-2007
Popis:	This paper assesses the autocorrelation patterns in U.S. stock market indices: the S&P 500 (1962-2007), the Dow Jones Industrial Average (1929-2007), and the NASDAQ Composite (1972-2007). Statistically significant lag 1 autocorrelation was observed for all three time series as tested by Monte Carlo simulation. The autocorrelation exhibited by the S&P 500 agreed with the findings of Lo and MacKinlay. The Dow Jones Industrial Average displayed strong autocorrelation at lag 1 from 1940-1986 (163/182 quarters, or 87%, had a positive autocorrelation). For all but three quarters from 1972 to 1997, the NASDAQ Composite had a positive autocorrelation at lag 1 averaging 0.25. 61% of the calendar quarters during that period had statistically significant autocorrelations at lag 1.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::99cb4ee11a598713847876cfb2544559 https://doi.org/10.2139/ssrn.1088861 Zobrazit plný text záznamu