Correlation Between Northern Data and Fast Retailing
Can any of the company-specific risk be diversified away by investing in both Northern Data 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 Northern Data and Fast Retailing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Northern Data AG and Fast Retailing Co, you can compare the effects of market volatilities on Northern Data 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 Northern Data with a short position of Fast Retailing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northern Data and Fast Retailing.
Diversification Opportunities for Northern Data and Fast Retailing
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Northern and Fast is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Northern Data AG and Fast Retailing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fast Retailing and Northern Data 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 Northern Data AG 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 Northern Data i.e., Northern Data and Fast Retailing go up and down completely randomly.
Pair Corralation between Northern Data and Fast Retailing
Assuming the 90 days trading horizon Northern Data AG is expected to under-perform the Fast Retailing. In addition to that, Northern Data is 2.11 times more volatile than Fast Retailing Co. It trades about -0.24 of its total potential returns per unit of risk. Fast Retailing Co is currently generating about -0.15 per unit of volatility. 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 |
Northern Data AG vs. Fast Retailing Co
Performance |
Timeline |
Northern Data AG |
Fast Retailing |
Northern Data and Fast Retailing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northern Data and Fast Retailing
The main advantage of trading using opposite Northern Data and Fast Retailing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northern Data 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.Northern Data vs. Television Broadcasts Limited | Northern Data vs. GAMING FAC SA | Northern Data vs. CONTAGIOUS GAMING INC | Northern Data vs. GAMES OPERATORS SA |
Fast Retailing vs. Ubisoft Entertainment SA | Fast Retailing vs. Southern Cross Media | Fast Retailing vs. Seven West Media | Fast Retailing vs. CARSALESCOM |
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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