Econometric Approach to Financial Analysis, Planning, and Forecasting
Cheng-Few Lee (),
Hong-Yi Chen () and
John Lee ()
Additional contact information
Cheng-Few Lee: Rutgers University, Department of Finance and Economics, Rutgers Business School
Hong-Yi Chen: National Central University, Department of Finance
John Lee: Center for PBBEF Research
Chapter Chapter 5 in Financial Econometrics, Mathematics and Statistics, 2019, pp 125-157 from Springer
Abstract:
Abstract Following Chap. 4 , we apply simultaneous equationSimultaneous equation models in discussing how econometrics methods and accounting data can be used for financial analysis, planning, and forecasting. The models used in this chapter include single-equation model, two-stage least squaresTwo-stage least squares model, three-stage least squaresThree-stage least squares model, and SURSeemingly Uncorrelated Regression (SUR) estimation method. In addition, we discuss the relationship among programming, simultaneous equationSimultaneous equation , and the econometric method.
Keywords: Endogenous variables; Exogenous variables; Two-stage least squares; Three-stage least squares; Seemingly uncorrelated regression (SUR); Simultaneous econometric models (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4939-9429-8_5
Ordering information: This item can be ordered from
http://www.springer.com/9781493994298
DOI: 10.1007/978-1-4939-9429-8_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().