Conclcusion Large: Equity Valuation using accounting numbers

Large sample

In this paper, the researcher empirically examined also the success of multiple regression model. The researcher investigated if the Assets turnover, Profit margin, Equity Multiplier, and Return on total assets have no effect on the Equity Valuation from the informational data of LUVLE course website: https://luvle.lancs.ac.uk/Acfin/703.nfs. The researcher also used Frequency distribution and analysis of variance (ANOVA).

This paper examined the informational data of LUVLE course website: https://luvle.lancs.ac.uk/Acfin/703.nfs. The researcher discovered that the Assets turnover, Profit margin, Equity Multiplier, and Return on total assets have significant effect on the Return on Equity from the informational data of LUVLE course website.

This means that other variables can affect the result of the equity valuation. The researcher suggested the additional parameters for the greater accuracy of the model.

Conclusion-small: Equity Valuation using accounting numbers

VII. CONCLUSION:
Small sample
In this paper, the researcher empirically examined the success of multiple regression model. The researcher investigated if the R&D to Total Assets, Intangibles to Total Assets, Assets turnover, Profit margin, Equity Multiplier, and Return on total assets have no effect on the Equity Valuation from the informational data of LUVLE course website: https://luvle.lancs.ac.uk/Acfin/703.nfs. The researcher also used Frequency distribution and analysis of variance (ANOVA).
This paper examined the informational data of LUVLE course website: https://luvle.lancs.ac.uk/Acfin/703.nfs. The researcher discovered that the R&D to Total Assets, Intangibles to Total Assets, Assets turnover, Profit margin, Equity Multiplier, and Return on total assets have an effect on the Equity Valuation from the informational data of LUVLE course website. This means that other variables can affect the flaws of the equity valuation. The researcher suggested the additional parameters for the greater accuracy of the model.

Large Sample Result: Equity Valuation using accounting numbers

Large sample
This section presents the analysis of the data on the study to find out if the Assets turnover, Profit margin, Equity Multiplier, and Return on total assets have an effect on the Equity Valuation. The Multiple Regression model were used to examined the effect of the other values to the return on equity using LUVLE course website informational data
The descriptive statistics was also used in this study for the presentation purposes. Graphs 3 to 4 show the inflation of the elasticity of the variables.

The statistical informational data was from LUVLE course website: https://luvle/.lancs.ac.uk/Acfin/703.nfs.

From Graph 3, shows that there were 710 selected companies or firm. It is notable that there were 6 firms who got high income before extraordinary items, sales, and assets. Firm 702 got the highest inflation of income before extraordinary items, sales, and assets which range between 400000 to 450000 and followed by Firm 94, range near 40000. Third Firm who got income before extraordinary items, sales, and assets is 671, then 624,165 and 478.

Results: Equity Valuation using accounting numbers

VI. RESULTS
Small sample
This section presents the analysis of the data on the study to find out if the R&D to Total Assets, Intangibles to Total Assets, Assets turnover, Profit margin, Equity Multiplier, and Return on total assets have an effect on the Equity Valuation. The Multiple Regression model was used to examine the effect of the other values to the equity valuation using LUVLE course website informational data. The descriptive statistics was also used in this study for the presentation purposes. Graphs 1 to 2 show the inflation of the elasticity of the variables.

The statistical informational data was from LUVLE course website: https://luve.lancs.ac.uk/Acfin/703.nfs.
Graph 1 above shows that out of 25, only 6 companies have a high R & D Range. The Firm number 6 got the highest inflation of R & D value which range between 150,000,000 and followed by Firm 5 and Firm 2, range near 50,000,000. The fourth firm who got R & D lower than 50,000,000was Firm 4. This implies that there were only few Firms who focused on the R & D. This means that many Firms were afraid to gamble or to take the risk in spending too much in Research and Development (R & D). This also shows that even though Firms belong to above £ 10,000 R & D, there were still other factors that can affect the interest of the investors.