This document provides study material and solved assignments on Corporate Finance. It covers topics such as risk and return analysis, beta calculation, and market analysis. The document also includes information on a specific company and its operations in the Asia-Pacific region.
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Running head: CORPORATE FINANCE Corporate Finance Name of the Student: Name of the University: Author’s Note:
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1CORPORATE FINANCE Table of Contents Question 1........................................................................................................................................2 References........................................................................................................................................6
2CORPORATE FINANCE Question 1 a)The market price index for the All-Ordinaries Index and RHP Company was taken for a different time periods. The two sub-periods taken into consideration was from thePeriod 1: June 2012 to July 2014; Period 2: February 2016 to January 2018. The data undertaken will be considered for the purpose of calculating the risk and return generated along with the monthly risk free data period for two different set of data period taken into consideration for the purpose of analysis. b)The return forshare pricesand market return(from market price index) was calculated for both the subPeriod 1: June 2012 to July 2014; Period 2: February 2016 to January 2018. The return for the share prices was calculated with the help of new price – old price divided by the old share price of the company. The return evaluated for the stock was as follows: ParticularsJune12-July14Feb16-Jan18 Return on Market Index (rm)1.23%0.84% Return on Share Price (rj)11.08%0.12% Risk Free Rate0.53%5.44% (rj-rm)9.85%-0.72% (rm-rf)0.70%-4.60% c)The mean, standard deviation, variance and correlation coefficient forand separately for the two sub-period was calculated as follows for the periodJune 2012 to July 2014; Period 2: February 2016 to January 2018. The mean was calculated
3CORPORATE FINANCE with the help of the average function in the excel function implying the average return generated by the set of data period analyzed. On the other hand, standard deviation implies the overall change in the data or the volatility associated with the undertaken data. On the other hand, the variance implies the expectation of the squared standard deviation of the variable from the mean. On the other hand, the correlation coefficient was calculated for the purpose of determining the overall relationship between the two variables. The correlation coefficient for the data period 2012-2014 was calculated to be very low. On the other hand, the correlation coefficient for the data period 2016-2018 was found to be considerably high in the Rj-Rf that was around 0.4444 times and the data for Rm-Rf was around -0.0631 times in the same period (Au.finance.yahoo.com 2019). The high correlation coefficient between the two data set will be well analyzed for the purpose of consideration and proper analysis. Period: June 2012 to July 2014 ParticularsRj-RfRm-Rf Mean10.16%0.65% Standard Deviation26.36%2.68% Variance6.95%0.07% Correlation Coefficient0.0630.108 Beta-0.013 Period: Feb16 to Jan18 ParticularsRj-RfRm-Rf Mean-5.24%-4.54% Standard Deviation15.13%4.08% Variance2.29%0.17% Correlation Coefficient0.4444-0.0631
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4CORPORATE FINANCE Beta-0.010 d)The beta for your selected company in the periodJune 2012 to July 2014 was around - 0.013 and the beta for the periodFebruary 2016 to January 2018 was calculated to be around -0.010. The beta for both the time period was calculated with the help of regressing the return of share price on the market index for the time period taken into consideration. The excel function that has been applied for the purpose of calculating the stock beta was the slope function for the purpose of determining the undertaken beta for both the time period analyzed. The application of the beta will be done for analyzing and estimating the sensitivity of the stock with respect to the market data index under the time period taken into consideration (Editorial, 2019). e)The beta calculated for the two sub-period shows the amount of sensitivity for the stocks with respect to the market index where the changes in the stock prices can be well predicted with the help of the changes in the market index. The beta in the time period of June 2012 to July 2014 was around -0.013, implying that if market changes by 1% then the stock price is expected to change by -0.013% on the opposite side. On the other the beta calculated for the time period ofFebruary 2016 to January 2018 was calculated to be around -0.010 implying that if the market changes by 1% then the stock is expected to move in the opposite direction by around -0.010 times. The beta for each of the time periodshowsthesensitivityofthestockwhenmarketindexchangesby1% (Markets.theaustralian.com.au 2019). f)RHP Company formerly known for providing wholesale subscription software license to a growing number of IT Services provider in the Asia Pacific Region. The software subscription services for the products are primarily from the world leading software such
5CORPORATE FINANCE as Microsoft, VMware and Citrix. The RHP Group Company provides various consulting and support to the vendors and IT service Providers transitioning their own clients to cloud and various other subscription centre business environment. The operations of the company is widespread diversified into the global regions in the Asia-Pacific Region allowing the company to cater various business needs and increase the overall operations of the company in the defined time-period for the company (Asx.com.au, 2019). g)The estimated value of beta compared for the two sub-period has been materially different due to changes in the data period taken into consideration. The beta value for the first periods was around -0.013 and on the other hand, the beta for the second period was around -0.010 for the undertaken analysis. The changes and the estimated value of beta for the two period has changed due to the changes in the market rate and associated share price of the company where relevant changes in the factor data would be affecting the overall return generated.