Please Real and current data use to solve the problem

Note: Please put real data and answer. solve it by real and current data you can get data from internet. no need instruction and guidelines.

Question 01:

Relative Valuation

Select Technology industry sector .Take a sample of 20-25 firms from this industry sector and determine the key drivers of the relative valuation multiple . Perform regression to get predicted multiple values. State whether each stock in the sample is under or valued. Growth rates may be estimated from IBES estimates

Question 01: The key drivers of Value to Book ratio are return on capital employed , cost of capital, growth rate and reinvestment .

Question 02: The key drivers for price to sales ratio are net profit margin , payout ratio , riskiness measure by cost of equity and expected growth rate in earnings .

Question 03: The key drivers for value to sales ratio are after tax operating margin, reinvestment rates, cost of capital and growth rate in operating income.

Need the above questions

This data I get for other question hop this will help you

Data

I used the following data for this analysis:

• A sample of 20 technology stocks from the S&P 500 index
• Historical stock prices from January 1, 2022 to June 30, 2023
• Expected growth rates for 2023 and 2024 from IBES estimates
• Volatility of stock returns during the past year
• Return on equity (ROE)
• Payout ratio
• Tax rate
• Depreciation and amortization
• Reinvestment requirement
• Cost of capita

Analysis

I used a multiple regression model to estimate the key drivers of the relative valuation multiples for the sample of technology stocks. The following table shows the results of the regression:

Variable	Coefficient	Standard Error	t-statistic	P-value
Payout ratio	0.03	0.01	2.73	0.006
Volatility	-0.02	0.01	-2.07	0.04
Expected growth (2023)	0.05	0.01	4.77	0.000
Expected growth (2024)	0.06	0.01	5.55	0.000

The results of the regression show that the payout ratio, expected growth rates, and volatility are all significant drivers of the relative valuation multiples for technology stocks. The payout ratio has a positive coefficient, which indicates that stocks with higher payout ratios are more likely to be undervalued. The expected growth rates have positive coefficients, which indicates that stocks with higher expected growth rates are more likely to be undervalued. The volatility coefficient has a negative coefficient, which indicates that stocks with higher volatility are more likely to be overvalued.

Predicted Multiple Values

Using the results of the regression, I can predict the multiple values for the sample of technology stocks. The following table shows the predicted multiple values for the stocks:

Stock	Predicted PE	Predicted PEG	Predicted EV/EBITDA	Predicted P/B
APPLE	20.6	1.2	13.7	3.5
MICROSOFT	23.2	1.3	15.3	4.0
AMAZON	30.4	1.6	18.6	5.0
ALPHABET	28.2	1.5	17.3	4.7
TESLA	100.0	5.0	50.0	12.5
NVIDIA	50.0	2.5	30.0	6.25
META PLATFORMS	15.0	0.8	10.0	2.5
ALIBABA	20.0	1.0	12.5	3.125
TENCENT	25.0	1.2	15.0	4.167

Undervalued or Overvalued

The predicted multiple values can be used to determine whether each stock in the sample is undervalued or overvalued. Stocks with predicted multiple values below their current market values are undervalued, while stocks with predicted multiple values above their current market values are overvalued.

Based on the predicted multiple values, the following stocks are undervalued:

• Apple
• Microsoft
• Amazon
• Alphabet
• Nvidia
• Meta Platforms
• Alibaba
• Tencent

The following stocks are overvalued:

• Tesla

.

Note: Please put real data and answer. solve it by real and current data you can get data from internet. no need instruction and guidelines.