Correlation Between Fast Retailing and Singapore Reinsurance
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and Singapore Reinsurance 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 Singapore Reinsurance 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 Singapore Reinsurance, you can compare the effects of market volatilities on Fast Retailing and Singapore Reinsurance 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 Singapore Reinsurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and Singapore Reinsurance.
Diversification Opportunities for Fast Retailing and Singapore Reinsurance
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fast and Singapore is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and Singapore Reinsurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore Reinsurance 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 Singapore Reinsurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore Reinsurance has no effect on the direction of Fast Retailing i.e., Fast Retailing and Singapore Reinsurance go up and down completely randomly.
Pair Corralation between Fast Retailing and Singapore Reinsurance
Assuming the 90 days trading horizon Fast Retailing Co is expected to generate 0.61 times more return on investment than Singapore Reinsurance. However, Fast Retailing Co is 1.64 times less risky than Singapore Reinsurance. It trades about -0.13 of its potential returns per unit of risk. Singapore Reinsurance is currently generating about -0.08 per unit of risk. If you would invest 32,214 in Fast Retailing Co on December 30, 2024 and sell it today you would lose (4,444) from holding Fast Retailing Co or give up 13.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Retailing Co vs. Singapore Reinsurance
Performance |
Timeline |
Fast Retailing |
Singapore Reinsurance |
Fast Retailing and Singapore Reinsurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and Singapore Reinsurance
The main advantage of trading using opposite Fast Retailing and Singapore Reinsurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, Singapore Reinsurance 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 Singapore Reinsurance will offset losses from the drop in Singapore Reinsurance's long position.Fast Retailing vs. DaChan Food Limited | Fast Retailing vs. T Mobile | Fast Retailing vs. Ultra Clean Holdings | Fast Retailing vs. Entravision Communications |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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