Correlation Between CHINA TONTINE and Fast Retailing
Can any of the company-specific risk be diversified away by investing in both CHINA TONTINE and Fast Retailing 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 CHINA TONTINE and Fast Retailing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA TONTINE WINES and Fast Retailing Co, you can compare the effects of market volatilities on CHINA TONTINE and Fast Retailing 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 CHINA TONTINE with a short position of Fast Retailing. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA TONTINE and Fast Retailing.
Diversification Opportunities for CHINA TONTINE and Fast Retailing
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CHINA and Fast is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding CHINA TONTINE WINES and Fast Retailing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fast Retailing and CHINA TONTINE 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 CHINA TONTINE WINES are associated (or correlated) with Fast Retailing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fast Retailing has no effect on the direction of CHINA TONTINE i.e., CHINA TONTINE and Fast Retailing go up and down completely randomly.
Pair Corralation between CHINA TONTINE and Fast Retailing
Assuming the 90 days trading horizon CHINA TONTINE WINES is expected to generate 23.33 times more return on investment than Fast Retailing. However, CHINA TONTINE is 23.33 times more volatile than Fast Retailing Co. It trades about 0.04 of its potential returns per unit of risk. Fast Retailing Co is currently generating about 0.07 per unit of risk. If you would invest 0.70 in CHINA TONTINE WINES on September 16, 2024 and sell it today you would earn a total of 6.30 from holding CHINA TONTINE WINES or generate 900.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
CHINA TONTINE WINES vs. Fast Retailing Co
Performance |
Timeline |
CHINA TONTINE WINES |
Fast Retailing |
CHINA TONTINE and Fast Retailing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA TONTINE and Fast Retailing
The main advantage of trading using opposite CHINA TONTINE and Fast Retailing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA TONTINE position performs unexpectedly, Fast Retailing 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 Fast Retailing will offset losses from the drop in Fast Retailing's long position.CHINA TONTINE vs. NAKED WINES PLC | CHINA TONTINE vs. Superior Plus Corp | CHINA TONTINE vs. SIVERS SEMICONDUCTORS AB | CHINA TONTINE vs. CHINA HUARONG ENERHD 50 |
Fast Retailing vs. Apple Inc | Fast Retailing vs. Apple Inc | Fast Retailing vs. Apple Inc | Fast Retailing vs. Apple Inc |
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 CEOs Directory module to screen CEOs from public companies around the world.
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