Correlation Between Fukuyama Transporting and Metro AG
Can any of the company-specific risk be diversified away by investing in both Fukuyama Transporting and Metro AG 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 Fukuyama Transporting and Metro AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fukuyama Transporting Co and Metro AG, you can compare the effects of market volatilities on Fukuyama Transporting and Metro AG 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 Fukuyama Transporting with a short position of Metro AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fukuyama Transporting and Metro AG.
Diversification Opportunities for Fukuyama Transporting and Metro AG
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Fukuyama and Metro is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Fukuyama Transporting Co and Metro AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metro AG and Fukuyama Transporting 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 Fukuyama Transporting Co are associated (or correlated) with Metro AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metro AG has no effect on the direction of Fukuyama Transporting i.e., Fukuyama Transporting and Metro AG go up and down completely randomly.
Pair Corralation between Fukuyama Transporting and Metro AG
Assuming the 90 days horizon Fukuyama Transporting Co is expected to under-perform the Metro AG. But the stock apears to be less risky and, when comparing its historical volatility, Fukuyama Transporting Co is 7.22 times less risky than Metro AG. The stock trades about -0.22 of its potential returns per unit of risk. The Metro AG is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 492.00 in Metro AG on October 9, 2024 and sell it today you would lose (6.00) from holding Metro AG or give up 1.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fukuyama Transporting Co vs. Metro AG
Performance |
Timeline |
Fukuyama Transporting |
Metro AG |
Fukuyama Transporting and Metro AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fukuyama Transporting and Metro AG
The main advantage of trading using opposite Fukuyama Transporting and Metro AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fukuyama Transporting position performs unexpectedly, Metro AG 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 Metro AG will offset losses from the drop in Metro AG's long position.Fukuyama Transporting vs. China Datang | Fukuyama Transporting vs. Tokyu Construction Co | Fukuyama Transporting vs. Dairy Farm International | Fukuyama Transporting vs. Hitachi Construction Machinery |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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