Correlation Between Blue Label and Hulamin
Can any of the company-specific risk be diversified away by investing in both Blue Label and Hulamin 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 Hulamin 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 Hulamin, you can compare the effects of market volatilities on Blue Label and Hulamin 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 Hulamin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blue Label and Hulamin.
Diversification Opportunities for Blue Label and Hulamin
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Blue and Hulamin is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Blue Label Telecoms and Hulamin in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hulamin 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 Hulamin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hulamin has no effect on the direction of Blue Label i.e., Blue Label and Hulamin go up and down completely randomly.
Pair Corralation between Blue Label and Hulamin
Assuming the 90 days trading horizon Blue Label Telecoms is expected to generate 1.05 times more return on investment than Hulamin. However, Blue Label is 1.05 times more volatile than Hulamin. It trades about -0.25 of its potential returns per unit of risk. Hulamin is currently generating about -0.4 per unit of risk. If you would invest 58,600 in Blue Label Telecoms on October 12, 2024 and sell it today you would lose (3,600) from holding Blue Label Telecoms or give up 6.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Blue Label Telecoms vs. Hulamin
Performance |
Timeline |
Blue Label Telecoms |
Hulamin |
Blue Label and Hulamin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Blue Label and Hulamin
The main advantage of trading using opposite Blue Label and Hulamin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blue Label position performs unexpectedly, Hulamin 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 Hulamin will offset losses from the drop in Hulamin's long position.Blue Label vs. City Lodge Hotels | Blue Label vs. Frontier Transport Holdings | Blue Label vs. RCL Foods | Blue Label vs. Deneb Investments |
Hulamin vs. Trematon Capital Investments | Hulamin vs. E Media Holdings | Hulamin vs. Boxer Retail | Hulamin vs. Blue Label Telecoms |
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Other Complementary Tools
Commodity Directory Find actively traded commodities issued by global exchanges | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |