Current multifactor valuation pricing models use size (measured by market capitalization) of a firm as one factor to determine the value of a security. The problem with current standard models was that none of them could explain the value of a security consistently and accurately based on current factors and in particular the size factor. The purpose of this quantitative study using existing time-series data over a 10-year period from 2006 to 2015 was to examine the impact of size factor on the realized rate of return of financial securities, while controlling for the impact of market rate of return. There are currently many valuation models but there is no 2-factor model or a model that uses a size factor that includes mid-cap sized securities. The research questions examined mid-cap sized securities for the size factor in a 2-factor model to determine the accuracy of predicting financial returns compared to the current standard Fama-French 3-factor model. The main theoretical framework that guided the study was the efficient market hypothesis that postulates that the price of a stock reflects all relevant available information. Data were collected for historical returns of 15 individual firms and portfolios of securities based on size. Multiple regression analysis methodology was used to examine the impact of size factor on the realized rate of return of financial securities, while controlling for the impact of market rate of return in the modified 2-factor model that included mid-caps. The results of the study indicate that size is a statistically significant factor in a 2-factor model that included mid-caps. The positive social impact of this study is that it could provide greater confidence in financial markets by providing a fair and equitable means of investment and flow of capital for a robust economy.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-5327 |
| Date | 01 January 2017 |
| Creators | Issar, Rajiv.Issar |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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