Correlation Between Fast Retailing and Northern Data
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and Northern Data 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 Northern Data 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 Northern Data AG, you can compare the effects of market volatilities on Fast Retailing and Northern Data 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 Northern Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and Northern Data.
Diversification Opportunities for Fast Retailing and Northern Data
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fast and Northern is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and Northern Data AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Data AG 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 Northern Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Data AG has no effect on the direction of Fast Retailing i.e., Fast Retailing and Northern Data go up and down completely randomly.
Pair Corralation between Fast Retailing and Northern Data
Assuming the 90 days trading horizon Fast Retailing Co is expected to generate 0.47 times more return on investment than Northern Data. However, Fast Retailing Co is 2.11 times less risky than Northern Data. It trades about -0.15 of its potential returns per unit of risk. Northern Data AG is currently generating about -0.24 per unit of risk. If you would invest 32,821 in Fast Retailing Co on December 24, 2024 and sell it today you would lose (4,991) from holding Fast Retailing Co or give up 15.21% 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. Northern Data AG
Performance |
Timeline |
Fast Retailing |
Northern Data AG |
Fast Retailing and Northern Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and Northern Data
The main advantage of trading using opposite Fast Retailing and Northern Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, Northern Data 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 Northern Data will offset losses from the drop in Northern Data's long position.Fast Retailing vs. Ubisoft Entertainment SA | Fast Retailing vs. Southern Cross Media | Fast Retailing vs. Seven West Media | Fast Retailing vs. CARSALESCOM |
Northern Data vs. Television Broadcasts Limited | Northern Data vs. GAMING FAC SA | Northern Data vs. CONTAGIOUS GAMING INC | Northern Data vs. GAMES OPERATORS SA |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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