Correlation Between City Sports and RB Food
Can any of the company-specific risk be diversified away by investing in both City Sports and RB Food 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 City Sports and RB Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between City Sports and and RB Food Supply, you can compare the effects of market volatilities on City Sports and RB Food 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 City Sports with a short position of RB Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of City Sports and RB Food.
Diversification Opportunities for City Sports and RB Food
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between City and RBF is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding City Sports and and RB Food Supply in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RB Food Supply and City Sports 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 City Sports and are associated (or correlated) with RB Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RB Food Supply has no effect on the direction of City Sports i.e., City Sports and RB Food go up and down completely randomly.
Pair Corralation between City Sports and RB Food
Assuming the 90 days trading horizon City Sports is expected to generate 1.31 times less return on investment than RB Food. But when comparing it to its historical volatility, City Sports and is 8.67 times less risky than RB Food. It trades about 0.99 of its potential returns per unit of risk. RB Food Supply is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 590.00 in RB Food Supply on September 24, 2024 and sell it today you would earn a total of 55.00 from holding RB Food Supply or generate 9.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
City Sports and vs. RB Food Supply
Performance |
Timeline |
City Sports |
RB Food Supply |
City Sports and RB Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with City Sports and RB Food
The main advantage of trading using opposite City Sports and RB Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if City Sports position performs unexpectedly, RB Food 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 RB Food will offset losses from the drop in RB Food's long position.City Sports vs. CP ALL Public | City Sports vs. Bangkok Dusit Medical | City Sports vs. Airports of Thailand | City Sports vs. Kasikornbank Public |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Other Complementary Tools
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |