1 Import stock prices

Stocks: “ATCO-A.ST”, “SAAB-B.ST”, “AXFO.ST”, “VOLCAR-B.ST”

2 Convert prices to returns quarterly

## # A tibble: 56 × 3
##    asset     date       returns
##    <chr>     <date>       <dbl>
##  1 ATCO-A.ST 2022-03-31 -0.255 
##  2 ATCO-A.ST 2022-06-30 -0.224 
##  3 ATCO-A.ST 2022-09-30  0.0922
##  4 ATCO-A.ST 2022-12-30  0.170 
##  5 ATCO-A.ST 2023-03-31  0.0663
##  6 ATCO-A.ST 2023-06-30  0.175 
##  7 ATCO-A.ST 2023-09-29 -0.0539
##  8 ATCO-A.ST 2023-12-29  0.172 
##  9 ATCO-A.ST 2024-03-28  0.0409
## 10 ATCO-A.ST 2024-06-28  0.104 
## # ℹ 46 more rows

3 Make plot

4 Interpret the plot

The takeaway from the plot above from first glance is that Atlas Copco has shown mostly modest positive returns with some outliers of modest negative returns. Axfood shows a graph of spread quarters with varied results, the interpretation of the graph is that they are a relative stable company but with some mixed performances. SAAB show a graph that is mostly positive with with some very high returning quarters. Volvo Cars has a graph that is left-skewed with mostly small losses with two outlying quarters that show positive returns. However, worth noting is that the graph is good to understand how returns are spread but it fails to show when the returns occur. Therefor dont show trends and moment which makes the graph hard to determine how the company has performed. To establish context, during this time period Atlas Copco is up 56%, Axfood down 3,7%, SAAB is up 340% and Volvo Cars down 76%. During a 3 month time period Atlas Copco is down 15%, Axfood up 20%, SAAB up 54% and Volvo Cars down 27%.

5 Change the global chunk options

Hide the code, messages, and warnings - This is done by changing the echo,message and warnings from TRUE to False