Correlation Between Tradegate and Air Transport
Can any of the company-specific risk be diversified away by investing in both Tradegate and Air Transport 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 Tradegate and Air Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tradegate AG Wertpapierhandelsbank and Air Transport Services, you can compare the effects of market volatilities on Tradegate and Air Transport 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 Tradegate with a short position of Air Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tradegate and Air Transport.
Diversification Opportunities for Tradegate and Air Transport
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Tradegate and Air is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Tradegate AG Wertpapierhandels and Air Transport Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Transport Services and Tradegate 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 Tradegate AG Wertpapierhandelsbank are associated (or correlated) with Air Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Transport Services has no effect on the direction of Tradegate i.e., Tradegate and Air Transport go up and down completely randomly.
Pair Corralation between Tradegate and Air Transport
Assuming the 90 days horizon Tradegate AG Wertpapierhandelsbank is expected to under-perform the Air Transport. But the stock apears to be less risky and, when comparing its historical volatility, Tradegate AG Wertpapierhandelsbank is 2.67 times less risky than Air Transport. The stock trades about -0.03 of its potential returns per unit of risk. The Air Transport Services is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 2,440 in Air Transport Services on September 18, 2024 and sell it today you would lose (360.00) from holding Air Transport Services or give up 14.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tradegate AG Wertpapierhandels vs. Air Transport Services
Performance |
Timeline |
Tradegate AG Wertpap |
Air Transport Services |
Tradegate and Air Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tradegate and Air Transport
The main advantage of trading using opposite Tradegate and Air Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tradegate position performs unexpectedly, Air Transport 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 Air Transport will offset losses from the drop in Air Transport's long position.Tradegate vs. Superior Plus Corp | Tradegate vs. SIVERS SEMICONDUCTORS AB | Tradegate vs. CHINA HUARONG ENERHD 50 | Tradegate vs. NORDIC HALIBUT AS |
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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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