Showing posts with label J. M. Smucker. Show all posts
Showing posts with label J. M. Smucker. Show all posts

Thursday, December 15, 2022

J.M. Smucker's Low Correlation With The Vanguard S&P 500 Index ETF

 J.M. Smucker is known for its iconic and timeless consumer staples brands (Exhibit 1)

Note: Click on each image in this blog post to view an enlarged version

Exhibit 1:

Brands Owned by J.M. Smucker & Co. (Source: J.M. Smucker)

Here's the histogram of monthly returns for J.M. Smucker between June 2019 and November 2022 (Exhibit 2).


Exhibit 2:

J.M. Smucker (SJM) Histogram of Monthly Returns (Source: Data provided by IEX Cloud, author calculations & graph using Microsoft Excel)

The average monthly return for J.M. Smucker is less than the Vanguard S&P 500 Index ETF (Exhibit 3).
Exhibit 3:
 J.M. Smucker Monthly Return Statistics - Average, First Quartile, Third Quartile, Standard Deviation, Highest Monthly Return, Lowest Monthly Return (Source: Data provided by IEX Cloud, author calculations & graph using Microsoft Excel)

J.M. Smucker had a lower standard deviation than the Vanguard ETF during this period (Exhibit 4). A company with a lower standard deviation than the well-diversified ETF, a measure of volatility, is an infrequent occurrence. 

Exhibit 4:
Vanguard S&P 500 Index ETF Monthly Return Statistics - Average, First Quartile, Third Quartile, Standard Deviation, Highest Monthly Return, Lowest Monthly Return (Source: Data provided by IEX Cloud, author calculations & graph using Microsoft Excel)

Here's a graph of the monthly returns of the Vanguard ETF (x-axis) and J.M.Smucker (y-axis) with the fitted regression line (Exhibit 5).
Exhibit 5:
Monthly Return Graph of the Vanguard S&P 500 Index ETF and J.M. Smucker (Source: Data provided by IEX Cloud, author calculations & graph using Microsoft Excel & RStudio) 

The correlation of the monthly returns between June 2019 and November 2022 between the Vanguard ETF and J.M. Smucker is a low 0.19 (Exhibit 5). The fitted linear regression line has a p-value of 0.23, indicating that the relationship is insignificant at the 95% confidence interval. 

The fitted linear regression line has a p-value of 0.23, indicating that the relationship is insignificant at the 95% confidence interval. Here's the output from the linear regression:

> summary(lmVOOSJM)

Call:
lm(formula = SJM_Monthly_Return ~ VOO_Monthly_Return, data = VOOandSJM)

Residuals:
      Min        1Q    Median        3Q       Max 
-0.089842 -0.034389  0.002403  0.022171  0.118077 

Coefficients:
                   Estimate  Std. Error t value  Pr(>|t|)
(Intercept)        0.005011   0.007476   0.670    0.507
VOO_Monthly_Return 0.157911   0.130216   1.213    0.232

Residual standard error: 0.04755 on 40 degrees of freedom
Multiple R-squared:  0.03546, Adjusted R-squared:  0.01135 
F-statistic: 1.471 on 1 and 40 DF,  p-value: 0.2324

The beta for J.M. Smucker is 0.15, but the high p-value is a concern. This beta (the coefficient of VOO_Monthly_Return) may not be the true value. Yahoo Finance has calculated a beta of 0.24.    

  

Saturday, February 26, 2022

Welch Two Sample t-test of Daily Price Returns of J.M. Smucker and Mondelez

J.M. Smucker and Mondelez are consumer staples companies with similar financial performance. Both companies compete in similar product categories, especially when it relates to snacks. But, Mondelez has a vast international operation, while J. M. Smucker is more focused on the U.S. with very little So, I wanted to see if the mean daily returns are the same between the two stocks.

First, I downloaded the daily price return data for the past six months for both J.M. Smucker (SJM) and Mondelez (MDLZ) from IEX Cloud

I did a correlation between the daily price returns of the two companies using R:

> cor(SJM_6Month_ClosingPrice_Daily_Return_Data$changePercent, MDLZ_6Month_ClosingPrice_Daily_Return_Data$changePercent) 

[1] 0.5815403

The correlation in the daily returns between the two companies was 0.58 for the past six months. It is a positive correlation, but I would not consider this as a strong correlation in returns between the two companies. I would consider it a strong correlation if it was at or above 0.70. This came as a surprise given that both the companies are in the consumer staples sector and that sector has performed very well since December 2021. 

Next, I wanted to calculate the p-value for the Welch two-sample t-test between means of the daily returns.  The null hypothesis is that the difference in mean daily returns between J.M. Smucker and Mondelez is zero. The alternate hypothesis is that the difference is not zero. The p-value is 0.9035, which means the null hypothesis can be resoundingly rejected. The t-test command in R and the result set is presented below. The J. M. Smucker had a mean daily return of 0.0893% and Mondelez had a daily return of 0.0717%. There is a 1.7 basis points difference in returns with J. M. Smucker having a slightly larger daily return than Mondelez.       

> t.test(SJM_6Month_ClosingPrice_Daily_Return_Data$changePercent,         MDLZ_6Month_ClosingPrice_Daily_Return_Data$changePercent)

Welch Two Sample t-test

data:  SJM_6Month_ClosingPrice_Daily_Return_Data$changePercent and MDLZ_6Month_ClosingPrice_Daily_Return_Data$changePercent

t = 0.1214, df = 239.4, p-value = 0.9035

alternative hypothesis: true difference in means is not equal to 0

95 percent confidence interval:

 -0.002682718  0.003035099

sample estimates:

   mean of x    mean of y 

0.0008936508 0.0007174603 

Finally, here's the scatter plot of daily price change of J.M. Smucker (SJM) and Mondelez (MDLZ).

(Data Source: IEXCloud.io, Plot Created using RStudio)

  

Sunday, January 2, 2022

Covered Call on J. M. Smucker, Public Service Employee Pay in China, Indonesia's Foreign Relations Dilemma

I recently wrote about my investment thesis for J. M. Smucker (NYSE: SJM) on Seeking Alpha. I have also written in the comments section about how selling a covered call on $SJM at current prices can boost overall investment returns.  

J. M. Smucker's Has Timeless Brands, but the stock has run up a lot. 
(Source: J. M. Smucker)

Nikkei Asia has published a fascinating article on how China cut public employees' paychecks. Many Chinese citizens are probably amazed and shocked to learn that some public employees make 200,000 yuan a year. Their paychecks are getting cut by about 25%. Cities in China were collecting revenue from land sales, but there are not many land sales with the indebted real estate market anymore. 

Indonesia is grappling with more meddling from China in the South China Sea. China is trying to assert itself in Asia.  

Note: Please pay for good journalism. When you support good journalism, you are keeping your freedom. Also, each day you will go to bed brighter. I read a lot of articles on Seeking Alpha every day. I subscribe to The Economist, The Financial Times, Barron's, Nikkei Asia, Bloomberg BusinessWeek, and The Wall Street Journal. I have a subscription to Seeking Alpha because I am a contributor on that site. 

Fun Fact: Nikkei - a Japanese company - owns The Financial Times.      

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