Correlation Between TFI International and Mingzhu Logistics
Can any of the company-specific risk be diversified away by investing in both TFI International and Mingzhu Logistics 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 TFI International and Mingzhu Logistics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TFI International and Mingzhu Logistics Holdings, you can compare the effects of market volatilities on TFI International and Mingzhu Logistics 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 TFI International with a short position of Mingzhu Logistics. Check out your portfolio center. Please also check ongoing floating volatility patterns of TFI International and Mingzhu Logistics.
Diversification Opportunities for TFI International and Mingzhu Logistics
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between TFI and Mingzhu is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding TFI International and Mingzhu Logistics Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mingzhu Logistics and TFI International 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 TFI International are associated (or correlated) with Mingzhu Logistics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mingzhu Logistics has no effect on the direction of TFI International i.e., TFI International and Mingzhu Logistics go up and down completely randomly.
Pair Corralation between TFI International and Mingzhu Logistics
Given the investment horizon of 90 days TFI International is expected to generate 0.33 times more return on investment than Mingzhu Logistics. However, TFI International is 3.03 times less risky than Mingzhu Logistics. It trades about -0.03 of its potential returns per unit of risk. Mingzhu Logistics Holdings is currently generating about -0.03 per unit of risk. If you would invest 14,572 in TFI International on September 22, 2024 and sell it today you would lose (747.00) from holding TFI International or give up 5.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
TFI International vs. Mingzhu Logistics Holdings
Performance |
Timeline |
TFI International |
Mingzhu Logistics |
TFI International and Mingzhu Logistics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TFI International and Mingzhu Logistics
The main advantage of trading using opposite TFI International and Mingzhu Logistics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TFI International position performs unexpectedly, Mingzhu Logistics 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 Mingzhu Logistics will offset losses from the drop in Mingzhu Logistics' long position.TFI International vs. Old Dominion Freight | TFI International vs. ArcBest Corp | TFI International vs. Marten Transport | TFI International vs. Werner Enterprises |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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