Correlation Between Fast Retailing and Atrium Ljungberg
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and Atrium Ljungberg 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 Atrium Ljungberg 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 Atrium Ljungberg AB, you can compare the effects of market volatilities on Fast Retailing and Atrium Ljungberg 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 Atrium Ljungberg. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and Atrium Ljungberg.
Diversification Opportunities for Fast Retailing and Atrium Ljungberg
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Fast and Atrium is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and Atrium Ljungberg AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atrium Ljungberg 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 Atrium Ljungberg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atrium Ljungberg has no effect on the direction of Fast Retailing i.e., Fast Retailing and Atrium Ljungberg go up and down completely randomly.
Pair Corralation between Fast Retailing and Atrium Ljungberg
Assuming the 90 days trading horizon Fast Retailing is expected to generate 1.11 times less return on investment than Atrium Ljungberg. But when comparing it to its historical volatility, Fast Retailing Co is 1.4 times less risky than Atrium Ljungberg. It trades about 0.07 of its potential returns per unit of risk. Atrium Ljungberg AB is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 983.00 in Atrium Ljungberg AB on October 10, 2024 and sell it today you would earn a total of 745.00 from holding Atrium Ljungberg AB or generate 75.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Retailing Co vs. Atrium Ljungberg AB
Performance |
Timeline |
Fast Retailing |
Atrium Ljungberg |
Fast Retailing and Atrium Ljungberg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and Atrium Ljungberg
The main advantage of trading using opposite Fast Retailing and Atrium Ljungberg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, Atrium Ljungberg 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 Atrium Ljungberg will offset losses from the drop in Atrium Ljungberg's long position.Fast Retailing vs. Cardinal Health | Fast Retailing vs. AIR PRODCHEMICALS | Fast Retailing vs. Wenzhou Kangning Hospital | Fast Retailing vs. INSURANCE AUST GRP |
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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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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