Correlation Between Fast Retailing and CDL INVESTMENT
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and CDL INVESTMENT 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 Fast Retailing and CDL INVESTMENT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fast Retailing Co and CDL INVESTMENT, you can compare the effects of market volatilities on Fast Retailing and CDL INVESTMENT 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 Fast Retailing with a short position of CDL INVESTMENT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and CDL INVESTMENT.
Diversification Opportunities for Fast Retailing and CDL INVESTMENT
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fast and CDL is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and CDL INVESTMENT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CDL INVESTMENT and Fast Retailing 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 Fast Retailing Co are associated (or correlated) with CDL INVESTMENT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CDL INVESTMENT has no effect on the direction of Fast Retailing i.e., Fast Retailing and CDL INVESTMENT go up and down completely randomly.
Pair Corralation between Fast Retailing and CDL INVESTMENT
Assuming the 90 days trading horizon Fast Retailing Co is expected to generate 0.99 times more return on investment than CDL INVESTMENT. However, Fast Retailing Co is 1.01 times less risky than CDL INVESTMENT. It trades about 0.08 of its potential returns per unit of risk. CDL INVESTMENT is currently generating about 0.03 per unit of risk. If you would invest 29,540 in Fast Retailing Co on September 20, 2024 and sell it today you would earn a total of 2,690 from holding Fast Retailing Co or generate 9.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Retailing Co vs. CDL INVESTMENT
Performance |
Timeline |
Fast Retailing |
CDL INVESTMENT |
Fast Retailing and CDL INVESTMENT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and CDL INVESTMENT
The main advantage of trading using opposite Fast Retailing and CDL INVESTMENT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, CDL INVESTMENT 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 CDL INVESTMENT will offset losses from the drop in CDL INVESTMENT's long position.Fast Retailing vs. Zijin Mining Group | Fast Retailing vs. Benchmark Electronics | Fast Retailing vs. KIMBALL ELECTRONICS | Fast Retailing vs. STMicroelectronics NV |
CDL INVESTMENT vs. Alfa Financial Software | CDL INVESTMENT vs. Fast Retailing Co | CDL INVESTMENT vs. National Retail Properties | CDL INVESTMENT vs. Burlington Stores |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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