1 Import stock prices of your choice

2 Convert prices to returns by quarterly

## # A tibble: 60 × 3
##    asset data        returns
##    <chr> <date>        <dbl>
##  1 HMC   2012-03-30  0.208  
##  2 HMC   2012-06-29 -0.0965 
##  3 HMC   2012-09-28 -0.115  
##  4 HMC   2012-12-31  0.184  
##  5 HMC   2013-03-28  0.0398 
##  6 HMC   2013-06-28 -0.0214 
##  7 HMC   2013-09-30  0.0282 
##  8 HMC   2013-12-31  0.0850 
##  9 HMC   2014-03-31 -0.157  
## 10 HMC   2014-06-30 -0.00478
## # … with 50 more rows

3 Make plot

4 Interpret the plot

It looks like Target had the highest typical return compared to Honda. The overall returns looked the highest for Target, while also being consistent. A typical return for Target would be from -0.07% to 0.09% because most of their quarterly returns fell in this category. This seems like a safer and less risky stock to invest in compared to Honda. Honda had more of a flat line of distribution compared to the other stocks. Although this stock has a greater return, it is the riskier stock option because you don’t know what to expect in returns.

5 Change the global chunck options

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