Correlation Between Blue Label and Boxer Retail
Can any of the company-specific risk be diversified away by investing in both Blue Label and Boxer Retail at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Blue Label and Boxer Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Blue Label Telecoms and Boxer Retail, you can compare the effects of market volatilities on Blue Label and Boxer Retail and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Blue Label with a short position of Boxer Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blue Label and Boxer Retail.
Diversification Opportunities for Blue Label and Boxer Retail
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Blue and Boxer is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Blue Label Telecoms and Boxer Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boxer Retail and Blue Label is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Blue Label Telecoms are associated (or correlated) with Boxer Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boxer Retail has no effect on the direction of Blue Label i.e., Blue Label and Boxer Retail go up and down completely randomly.
Pair Corralation between Blue Label and Boxer Retail
Assuming the 90 days trading horizon Blue Label Telecoms is expected to under-perform the Boxer Retail. But the stock apears to be less risky and, when comparing its historical volatility, Blue Label Telecoms is 3.33 times less risky than Boxer Retail. The stock trades about -0.03 of its potential returns per unit of risk. The Boxer Retail is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 540,000 in Boxer Retail on September 23, 2024 and sell it today you would earn a total of 100,000 from holding Boxer Retail or generate 18.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 44.19% |
Values | Daily Returns |
Blue Label Telecoms vs. Boxer Retail
Performance |
Timeline |
Blue Label Telecoms |
Boxer Retail |
Blue Label and Boxer Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Blue Label and Boxer Retail
The main advantage of trading using opposite Blue Label and Boxer Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blue Label position performs unexpectedly, Boxer Retail can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Boxer Retail will offset losses from the drop in Boxer Retail's long position.Blue Label vs. We Buy Cars | Blue Label vs. African Media Entertainment | Blue Label vs. MC Mining | Blue Label vs. Frontier Transport Holdings |
Boxer Retail vs. Prosus NV | Boxer Retail vs. Compagnie Financire Richemont | Boxer Retail vs. British American Tobacco | Boxer Retail vs. Anglo American PLC |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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