Correlation Between FedEx and Trane Technologies
Can any of the company-specific risk be diversified away by investing in both FedEx and Trane Technologies 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 FedEx and Trane Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FedEx and Trane Technologies plc, you can compare the effects of market volatilities on FedEx and Trane Technologies 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 FedEx with a short position of Trane Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of FedEx and Trane Technologies.
Diversification Opportunities for FedEx and Trane Technologies
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between FedEx and Trane is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding FedEx and Trane Technologies plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trane Technologies plc and FedEx 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 FedEx are associated (or correlated) with Trane Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trane Technologies plc has no effect on the direction of FedEx i.e., FedEx and Trane Technologies go up and down completely randomly.
Pair Corralation between FedEx and Trane Technologies
Assuming the 90 days trading horizon FedEx is expected to generate 4.36 times less return on investment than Trane Technologies. But when comparing it to its historical volatility, FedEx is 2.34 times less risky than Trane Technologies. It trades about 0.07 of its potential returns per unit of risk. Trane Technologies plc is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 96,622 in Trane Technologies plc on October 11, 2024 and sell it today you would earn a total of 18,952 from holding Trane Technologies plc or generate 19.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 97.37% |
Values | Daily Returns |
FedEx vs. Trane Technologies plc
Performance |
Timeline |
FedEx |
Trane Technologies plc |
FedEx and Trane Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FedEx and Trane Technologies
The main advantage of trading using opposite FedEx and Trane Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FedEx position performs unexpectedly, Trane Technologies 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 Trane Technologies will offset losses from the drop in Trane Technologies' long position.FedEx vs. Trane Technologies plc | FedEx vs. Monster Beverage | FedEx vs. Roper Technologies, | FedEx vs. Marvell Technology |
Trane Technologies vs. Marvell Technology | Trane Technologies vs. Verizon Communications | Trane Technologies vs. Zoom Video Communications | Trane Technologies vs. Spotify Technology 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 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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