Title Optimized forecasting of dominant U.S. stock market equities using univariate and multivariate time series analysis methods / by Michael D. Schwartz.

Imprint	Orange, California : Chapman University, May 2017.
	©2017

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LOCATION	CALL #	STATUS
Thesis Collection - Request at Circulation Desk	COMP .S39 2017	Library Use Only

Collation	xvii, 188 leaves : color illustrations ; 28 cm
	text txt rdacontent
	unmediated n rdamedia
	volume nc rdacarrier
Note	Ph.D. Chapman University 2017.
	Field of study: Computational and Data Sciences.
Bibliog.	Includes bibliographical references.
Contents	Introduction -- Statistical forecasting of time series -- Forecasting with singular spectrum analysis -- Bivariate forecasting with alternate components -- Economic significance & robustness : backtesting -- Conclusion -- References -- Appendices.
Subject	Chapman University. Schmid College of Science and Technology -- Dissertations.
	Stocks -- United States.
	Economic forecasting -- United States.
	Time-series analysis.
	Chapman University -- Thesis and Dissertation.
	Economic forecasting. fast (OCoLC)fst00901942
	Stocks. fast (OCoLC)fst01133704
	Time-series analysis. fast (OCoLC)fst01151190
	United States. fast (OCoLC)fst01204155