Updated:

Investment Analysis Regarding COVID-19 Pandemic Report

Exclusively available on Available only on IvyPanda® Made by Human No AI

In the rapidly changing world, the significance of investing is well-known. Such finance managements enable individuals to protect their assets from inflation and enable their further growth. With respect to the recent COVID-19 pandemic, the situation in the already volatile market became even less stable. For our group, it implies the necessity of the in-detailed investment analysis to facilitate further portfolio management and evaluate its past performance.

S&P 500 ETF TRUST ETF (SPY) was added to it with the purpose of diversification to complement the portfolio. Thus, the further calculations consider daily returns from SPY from October 01, 2021, to November 30, 2021. This work will present an economic analysis of the portfolio beta, mean, and Sharpe ratio based on the performance of the stock during the specified period. The analysis of SPY will also be provided to complement understanding of the stock, discuss current values of its essential indicators, and evaluate its potential.

Calculation of Key Economic Indicators

Determination of Portfolio Beta

Before processing to calculate portfolio beta, the overview of portfolio performance for the period taken for further analysis is due. It is possible to see in Figure 1 that there is a strong tendency for the stock (SPY) to grow. The axis Y shows the percentages indicating changes in the value of stock that occurred on a certain day. The axis X shows the exact date. The revealed pattern is similar to the one reflecting a change in prices of the stock for the period.

Overview of Portfolio for the Period October-November.
Figure 1. Overview of Portfolio for the Period October-November.

Portfolio beta or security beta is a measure of volatility that is often referred to as systematic risk. Considering that the portfolio consists of only one stock, the change of a security’s price in percentage equals the change in the portfolio in percentage, and the mentioned two concepts are one and the same for this particular case. Beta is widely used for the determination of the relationship between systematic risk and expected return for assets.

The portfolio beta was calculated using the provided Excel spreadsheet that takes into consideration stock prices and respective index levels for this security for the same period. A number of data periods equal 41, which is explained by the absence of information for price and index level for some days, which does not significantly affect the calculations. Split factor also was considered, but because SPY wasn’t split even once during the period, all the values equal 1, as shown in Table 1. The index level is the one for S&P 500 Index (roughly 10 times more than the SPY price, as they are correlated in a certain manner).

Table 1. Data Used for Calculating Beta.

11$434,2414300,46
21$428,6414300,46-1,29%0,00%
31$433,10$0,0014345,721,04%1,05%
41$434,9014363,550,42%0,41%
51$438,6614399,760,86%0,83%
61$437,86$0,0014391,34-0,18%-0,19%
71$434,6914361,19-0,72%-0,69%
81$433,6214350,65-0,25%-0,24%
91$435,18$0,0014363,800,36%0,30%
101$442,5014438,261,68%1,71%
111$445,8714471,370,76%0,75%
121$447,19$0,0014486,460,30%0,34%
131$450,6414519,630,77%0,74%
141$452,4114536,190,39%0,37%
151$453,59$0,0014549,780,26%0,30%
161$453,1214544,90-0,10%-0,11%
171$455,5514566,480,54%0,47%
181$455,96$0,0014574,790,09%0,18%
191$453,9414551,68-0,44%-0,51%
201$458,3214596,420,96%0,98%
211$459,25$0,0014605,380,20%0,19%
221$460,0414613,670,17%0,18%
231$461,9014630,650,40%0,37%
241$464,72$0,0014660,570,61%0,65%
251$466,9114680,060,47%0,42%
261$468,5314697,530,35%0,37%
271$468,93$0,0014701,700,09%0,09%
281$467,3814685,25-0,33%-0,35%
291$463,6214646,71-0,80%-0,82%
301$463,77$0,0014649,270,03%0,06%
311$467,2714682,850,75%0,72%
321$467,4314682,800,03%0,00%
331$469,28$0,0014700,900,40%0,39%
341$468,1414688,67-0,24%-0,26%
351$469,7314704,540,34%0,34%
361$468,89$0,0014697,96-0,18%-0,14%
371$467,5714682,94-0,28%-0,32%
381$468,1914690,700,13%0,17%
391$469,44$0,0014701,460,27%0,23%
401$458,9714594,62-2,23%-2,27%
411$464,6014535,431,23%-1,29%
420$464,60$0,0014535,430,00%0,00%
430$464,6014535,430,00%0,00%
440$464,6014535,430,00%0,00%
450$464,60$0,0014535,430,00%0,00%
460$464,6014535,430,00%0,00%
470$464,6014535,430,00%0,00%
480$464,60$0,0014535,430,00%0,00%
490$464,6014535,430,00%0,00%
500$464,6014535,430,00%0,00%
510$464,60$0,0014535,430,00%0,00%
520$464,6014535,430,00%0,00%
530$464,6014535,430,00%0,00%
540$464,60$0,0014535,430,00%0,00%
550$464,6014535,430,00%0,00%
560$464,6014535,430,00%0,00%
570$464,60$0,0014535,430,00%0,00%
580$464,6014535,430,00%0,00%
590$464,6014535,430,00%0,00%
600$464,60$0,0014535,430,00%0,00%

On Table 2 is shown regression statistics and risk parameters including Beta.

Table 2. Regression Statistics and Risk Parameters.

REGRESSION STATISTICS AND RISK PARAMETERS
RISK AND PERFORMANCE MEASURES
Intercept (Alpha) =0,06%
Slope (Beta)=0,798697096
Rf(1- Beta) =0,00%
Intercept-Rf(1-Beta)=0,06%

It is determined that the value of Beta equals 0.798697096 (roughly 0.798697096), indicating that the portfolio tends to be less volatile than the market.

Determination of Portfolio Mean Return

Portfolio mean return is the expected value of how much a stock return. In this case, only one security composes a portfolio (SPY), which means that there is no necessity to consider the weight of each comprising security. However, the portfolio mean can be determined only for the portion of the year (End of September-November) as the stock was held only for this period. It is known that on September 30, 2021, the portfolio was equal to 1000000, while on November 30, 2021, the portfolio was equal to 1011296.3. Following the formula: Mean return = (End of the period – Beginning of the period) / Beginning of the period; Mean return = (1011296.3 – 1000000) / 1000000 = 0.0112963 or toughly 1.13%. Therefore, the risk premium for stocks for the portfolio for the given period of time equals 1.13%.

Determination of Sharpe Ratio

It is possible to provide calculations of the Sharpe ratio for the portfolio to determine the value of the stock price based on current values of determinants. Those indicators are risk premium for stocks (portfolio mean return), risk-free rate during 2 months period (roughly 0,06%), current monthly risk-free rate (0,11%) based on the Daily Treasury Yield Curve Rates and standard deviation. Using the formula for standard deviation in Excel(STDEV. S(A2:A10) dividing it by the mean and multiplying by 100%, it is possible to find the percentage of standard deviation for this asset, and therefore, for the entire 1-asset portfolio. The standard deviation for the portfolio equals 1.59% roughly, which implies that high risks were taken to gain a profit. According to the formula: Sharpe ratio = (return of portfolio – risk-free rate) / standard deviation; Sharpe ratio = (1.13% – 0.06%) / 1.59% = 0.673. It is possible to conclude, considering that the ratio is lower than the desired value (1), that the management of the portfolio was too risky. Simultaneously, the Sharpe ratio for the stock for the same period is much better.

Stock Analysis

S&P 500 ETF TRUST ETF is a fund that owns the stocks in the Standard & Poor’s 500 index and is considered to be the benchmark for investing. Such corporations as Microsoft, Apple, Amazon, Nvidia, Tesla, and others contribute to the value of the stock. The representation of SPY performance is presented in Figure 2. The estimated yield equals 1.30% (which is close to the one calculated above), and the historical 52 week-range (the lowest and the heist price for the past year were $362.03 and $473.54, respectively.

SPY Stock Performance for the Past 1 Year.
Figure 2. SPY Stock Performance for the Past 1 Year.

10 years yield from this security equals 14.71%, and the growth is rather steady and slow than volatile and rapid, and it is shown in Figure 3.

SPY Stock Performance for the Past 10 Years.
Figure 3. SPY Stock Performance for the Past 10 Years.

SPY is spread across 11 sectors, ensuring that the stock does not depend on only one of them. 11 sectors are Information Technology, Health Care, Consumer Discretionary, Communication Services, Financials, Industrials, Consumer Staples, Utilities, Real Estate, Materials, and Energy.

With respect to the outlined summary of SPY performance, it is possible to list several key points:

  • SPY has shown steady growth for the past 2 years
  • SPY volume is high and tends to rise over time
  • SPY capitalization is over $40.3 trillion
  • SPY consists of 500 companies and is spread across 11 sectors

It is possible to conclude that despite the performance of the portfolio consisting of SPY shares being worse than it could have been, it is possible to recommend further long-term holding of the security. Its growth potential is high because the economy is reviving after the COVID-19 pandemic.

More related papers Related Essay Examples
Cite This paper
You're welcome to use this sample in your assignment. Be sure to cite it correctly

Reference

IvyPanda. (2022, December 16). Investment Analysis Regarding COVID-19 Pandemic. https://ivypanda.com/essays/investment-analysis-regarding-covid-19-pandemic/

Work Cited

"Investment Analysis Regarding COVID-19 Pandemic." IvyPanda, 16 Dec. 2022, ivypanda.com/essays/investment-analysis-regarding-covid-19-pandemic/.

References

IvyPanda. (2022) 'Investment Analysis Regarding COVID-19 Pandemic'. 16 December.

References

IvyPanda. 2022. "Investment Analysis Regarding COVID-19 Pandemic." December 16, 2022. https://ivypanda.com/essays/investment-analysis-regarding-covid-19-pandemic/.

1. IvyPanda. "Investment Analysis Regarding COVID-19 Pandemic." December 16, 2022. https://ivypanda.com/essays/investment-analysis-regarding-covid-19-pandemic/.


Bibliography


IvyPanda. "Investment Analysis Regarding COVID-19 Pandemic." December 16, 2022. https://ivypanda.com/essays/investment-analysis-regarding-covid-19-pandemic/.

If, for any reason, you believe that this content should not be published on our website, please request its removal.
Updated:
This academic paper example has been carefully picked, checked and refined by our editorial team.
No AI was involved: only quilified experts contributed.
You are free to use it for the following purposes:
  • To find inspiration for your paper and overcome writer’s block
  • As a source of information (ensure proper referencing)
  • As a template for you assignment
Privacy Settings

IvyPanda uses cookies and similar technologies to enhance your experience, enabling functionalities such as:

  • Basic site functions
  • Ensuring secure, safe transactions
  • Secure account login
  • Remembering account, browser, and regional preferences
  • Remembering privacy and security settings
  • Analyzing site traffic and usage
  • Personalized search, content, and recommendations
  • Displaying relevant, targeted ads on and off IvyPanda

Please refer to IvyPanda's Cookies Policy and Privacy Policy for detailed information.

Required Cookies & Technologies
Always active

Certain technologies we use are essential for critical functions such as security and site integrity, account authentication, security and privacy preferences, internal site usage and maintenance data, and ensuring the site operates correctly for browsing and transactions.

Site Customization

Cookies and similar technologies are used to enhance your experience by:

  • Remembering general and regional preferences
  • Personalizing content, search, recommendations, and offers

Some functions, such as personalized recommendations, account preferences, or localization, may not work correctly without these technologies. For more details, please refer to IvyPanda's Cookies Policy.

Personalized Advertising

To enable personalized advertising (such as interest-based ads), we may share your data with our marketing and advertising partners using cookies and other technologies. These partners may have their own information collected about you. Turning off the personalized advertising setting won't stop you from seeing IvyPanda ads, but it may make the ads you see less relevant or more repetitive.

Personalized advertising may be considered a "sale" or "sharing" of the information under California and other state privacy laws, and you may have the right to opt out. Turning off personalized advertising allows you to exercise your right to opt out. Learn more in IvyPanda's Cookies Policy and Privacy Policy.

1 / 1