Correlation Between Fast Retailing and ChargePoint Holdings
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and ChargePoint Holdings 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 ChargePoint Holdings 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 ChargePoint Holdings, you can compare the effects of market volatilities on Fast Retailing and ChargePoint Holdings 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 ChargePoint Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and ChargePoint Holdings.
Diversification Opportunities for Fast Retailing and ChargePoint Holdings
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Fast and ChargePoint is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and ChargePoint Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ChargePoint Holdings 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 ChargePoint Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ChargePoint Holdings has no effect on the direction of Fast Retailing i.e., Fast Retailing and ChargePoint Holdings go up and down completely randomly.
Pair Corralation between Fast Retailing and ChargePoint Holdings
Assuming the 90 days horizon Fast Retailing Co is expected to generate 0.48 times more return on investment than ChargePoint Holdings. However, Fast Retailing Co is 2.08 times less risky than ChargePoint Holdings. It trades about 0.09 of its potential returns per unit of risk. ChargePoint Holdings is currently generating about 0.01 per unit of risk. If you would invest 25,970 in Fast Retailing Co on September 22, 2024 and sell it today you would earn a total of 7,290 from holding Fast Retailing Co or generate 28.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Retailing Co vs. ChargePoint Holdings
Performance |
Timeline |
Fast Retailing |
ChargePoint Holdings |
Fast Retailing and ChargePoint Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and ChargePoint Holdings
The main advantage of trading using opposite Fast Retailing and ChargePoint Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, ChargePoint Holdings 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 ChargePoint Holdings will offset losses from the drop in ChargePoint Holdings' long position.Fast Retailing vs. Industria de Diseno | Fast Retailing vs. Aritzia | Fast Retailing vs. Shoe Carnival | Fast Retailing vs. Genesco |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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