Correlation Between Freight Technologies and Shotspotter
Can any of the company-specific risk be diversified away by investing in both Freight Technologies and Shotspotter 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 Freight Technologies and Shotspotter into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Freight Technologies and Shotspotter, you can compare the effects of market volatilities on Freight Technologies and Shotspotter 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 Freight Technologies with a short position of Shotspotter. Check out your portfolio center. Please also check ongoing floating volatility patterns of Freight Technologies and Shotspotter.
Diversification Opportunities for Freight Technologies and Shotspotter
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Freight and Shotspotter is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Freight Technologies and Shotspotter in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shotspotter and Freight Technologies 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 Freight Technologies are associated (or correlated) with Shotspotter. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shotspotter has no effect on the direction of Freight Technologies i.e., Freight Technologies and Shotspotter go up and down completely randomly.
Pair Corralation between Freight Technologies and Shotspotter
Given the investment horizon of 90 days Freight Technologies is expected to under-perform the Shotspotter. In addition to that, Freight Technologies is 2.12 times more volatile than Shotspotter. It trades about -0.07 of its total potential returns per unit of risk. Shotspotter is currently generating about 0.13 per unit of volatility. If you would invest 1,285 in Shotspotter on December 30, 2024 and sell it today you would earn a total of 459.00 from holding Shotspotter or generate 35.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Freight Technologies vs. Shotspotter
Performance |
Timeline |
Freight Technologies |
Shotspotter |
Freight Technologies and Shotspotter Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Freight Technologies and Shotspotter
The main advantage of trading using opposite Freight Technologies and Shotspotter positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Freight Technologies position performs unexpectedly, Shotspotter 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 Shotspotter will offset losses from the drop in Shotspotter's long position.Freight Technologies vs. Infobird Co | Freight Technologies vs. HeartCore Enterprises | Freight Technologies vs. CXApp Inc | Freight Technologies vs. Quhuo |
Shotspotter vs. Enfusion | Shotspotter vs. ON24 Inc | Shotspotter vs. Paycor HCM | Shotspotter vs. Research Solutions |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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