Correlation Between Boxer Retail and Blue Label
Can any of the company-specific risk be diversified away by investing in both Boxer Retail and Blue Label 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 Boxer Retail and Blue Label into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Boxer Retail and Blue Label Telecoms, you can compare the effects of market volatilities on Boxer Retail and Blue Label 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 Boxer Retail with a short position of Blue Label. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boxer Retail and Blue Label.
Diversification Opportunities for Boxer Retail and Blue Label
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Boxer and Blue is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Boxer Retail and Blue Label Telecoms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blue Label Telecoms and Boxer Retail 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 Boxer Retail are associated (or correlated) with Blue Label. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blue Label Telecoms has no effect on the direction of Boxer Retail i.e., Boxer Retail and Blue Label go up and down completely randomly.
Pair Corralation between Boxer Retail and Blue Label
Assuming the 90 days trading horizon Boxer Retail is expected to generate 3.03 times more return on investment than Blue Label. However, Boxer Retail is 3.03 times more volatile than Blue Label Telecoms. It trades about 0.27 of its potential returns per unit of risk. Blue Label Telecoms is currently generating about 0.19 per unit of risk. If you would invest 540,000 in Boxer Retail on September 16, 2024 and sell it today you would earn a total of 108,500 from holding Boxer Retail or generate 20.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 23.08% |
Values | Daily Returns |
Boxer Retail vs. Blue Label Telecoms
Performance |
Timeline |
Boxer Retail |
Blue Label Telecoms |
Boxer Retail and Blue Label Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boxer Retail and Blue Label
The main advantage of trading using opposite Boxer Retail and Blue Label positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boxer Retail position performs unexpectedly, Blue Label 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 Blue Label will offset losses from the drop in Blue Label's long position.Boxer Retail vs. British American Tobacco | Boxer Retail vs. Glencore PLC | Boxer Retail vs. Anglo American PLC | Boxer Retail vs. ABSA Bank Limited |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Other Complementary Tools
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Transaction History View history of all your transactions and understand their impact on performance | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |