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Application of T-Technique Factor Analysis to the Stock Market

Bibliographic Data

ID19290803
AuthorsJohn W French (corresponding author)
Year1972
Volume7
Issue3
Pages279-286
Publication date1972-01-01
Open AccessNo
TypeARTICLE
VenueMultivariate Behavioral Research (JOURNAL)
Journal identifiersISSN: 0027-3171 • E-ISSN: 1532-7906
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15327906mbr0703_1
PMID26814653
OpenAlexW2014627177
LanguageEN
References cited4

Proportional changes in the prices of 425 individual common stocks were recorded for each of 44 quarter-year periods. After normalization of the data for each stock, sums of cross-products were computed among the time periods across stocks. Factor analysis of the cross-product matrix yielded seven factors. By cumulating the factor loadings successively over the 44 quarters, so as to simulate absolute values rather than change scores, six of these factors appear to be generated by the simplicial nature of the cross-product matrix, while the seventh was an expected factor representing general stock market strengths and weaknesses. Some possibilities for pre- diction are discussed, but little in the way of direct prediction of stock market fluctuations is supported by these findings

Dynamic factor · Econometrics · Economics · Factor analysis · Geography · Normalization (sociology) · Statistics · Stock (firearms) · Stock market · Strengths and weaknesses · Complex Systems and Time Series Analysis · Mathematics · Psychology · Stock Market Forecasting Methods

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    Benjamin Fruchter, Edwin A Fleishman•Multivariate Behavioral Research•1967

Highly citedNo

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