Date of Conferral
1-1-2011
Degree
Ph.D.
School
Management
Advisor
Mohammad Sharifzadeh
Abstract
In the financial turmoil of 2008, U.S. firms reported debt-ratios that differed from the debt-ratios calculated from balance sheets. The problem is that investors bought common stock expecting initial investment return and lost money when companies delisted. The purpose of this quantitative study was to determine sample securities pricing with the application of synthetic assets and debt accrued. Addressed in the research questions was whether those securities were (a) underpriced compared with return-on-assets (ROA), (b) overpriced compared with ROA, (c) a debt-ratio higher than 60% and also overpriced, (d) underpriced with a synthetic asset added, or (e) related by relative pricing to variant pricing and market capitalization. The study's base theory was Pan's efficient market hypothesis (EMH) of security price prediction of market prices versus model prices. The data from the financial statements of 16 publicly traded U.S. electric utility companies were analyzed via correlations and multiple regression analyses to determine securities pricing and suitability. The findings from the analyses of the sample's variables of market price, book value, market-to-book, and study constructed variables from those variable data were statistically significant. The alternate hypotheses were accepted for all 5 research questions since the analytical operationalization of the hypothetical constructs led to significant relationships. Results suggest that the use of more pricing determinants in securities evaluation may lead to investors losing less money and earning the expected returns for a more efficient capital market, leading to a stronger economy and macroeconomic stability.
Recommended Citation
Jewczyn, Nicholas Stephen, "Relative Pricing of Publicly Traded U.S. Electric Utility Companies" (2011). Walden Dissertations and Doctoral Studies. 1076.
https://scholarworks.waldenu.edu/dissertations/1076
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Business Administration, Management, and Operations Commons, Economics Commons, Finance and Financial Management Commons, Management Sciences and Quantitative Methods Commons, Oil, Gas, and Energy Commons