Correlation Between Fast Retailing and Globex Mining
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and Globex Mining 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 Globex Mining 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 Globex Mining Enterprises, you can compare the effects of market volatilities on Fast Retailing and Globex Mining 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 Globex Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and Globex Mining.
Diversification Opportunities for Fast Retailing and Globex Mining
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Fast and Globex is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and Globex Mining Enterprises in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Globex Mining Enterprises 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 Globex Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Globex Mining Enterprises has no effect on the direction of Fast Retailing i.e., Fast Retailing and Globex Mining go up and down completely randomly.
Pair Corralation between Fast Retailing and Globex Mining
Assuming the 90 days trading horizon Fast Retailing Co is expected to under-perform the Globex Mining. But the stock apears to be less risky and, when comparing its historical volatility, Fast Retailing Co is 1.41 times less risky than Globex Mining. The stock trades about -0.13 of its potential returns per unit of risk. The Globex Mining Enterprises is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 76.00 in Globex Mining Enterprises on December 22, 2024 and sell it today you would earn a total of 26.00 from holding Globex Mining Enterprises or generate 34.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Retailing Co vs. Globex Mining Enterprises
Performance |
Timeline |
Fast Retailing |
Globex Mining Enterprises |
Fast Retailing and Globex Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and Globex Mining
The main advantage of trading using opposite Fast Retailing and Globex Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, Globex Mining 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 Globex Mining will offset losses from the drop in Globex Mining's long position.Fast Retailing vs. EMPEROR ENT HOTEL | Fast Retailing vs. BRAEMAR HOTELS RES | Fast Retailing vs. INTERCONT HOTELS | Fast Retailing vs. National Health Investors |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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