Correlation Between Thermal Energy and Firan Technology
Can any of the company-specific risk be diversified away by investing in both Thermal Energy and Firan Technology 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 Thermal Energy and Firan Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thermal Energy International and Firan Technology Group, you can compare the effects of market volatilities on Thermal Energy and Firan Technology 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 Thermal Energy with a short position of Firan Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thermal Energy and Firan Technology.
Diversification Opportunities for Thermal Energy and Firan Technology
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Thermal and Firan is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Thermal Energy International and Firan Technology Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Firan Technology and Thermal Energy 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 Thermal Energy International are associated (or correlated) with Firan Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Firan Technology has no effect on the direction of Thermal Energy i.e., Thermal Energy and Firan Technology go up and down completely randomly.
Pair Corralation between Thermal Energy and Firan Technology
Assuming the 90 days horizon Thermal Energy is expected to generate 1.15 times less return on investment than Firan Technology. In addition to that, Thermal Energy is 2.27 times more volatile than Firan Technology Group. It trades about 0.05 of its total potential returns per unit of risk. Firan Technology Group is currently generating about 0.13 per unit of volatility. If you would invest 199.00 in Firan Technology Group on September 2, 2024 and sell it today you would earn a total of 531.00 from holding Firan Technology Group or generate 266.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Thermal Energy International vs. Firan Technology Group
Performance |
Timeline |
Thermal Energy Inter |
Firan Technology |
Thermal Energy and Firan Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thermal Energy and Firan Technology
The main advantage of trading using opposite Thermal Energy and Firan Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thermal Energy position performs unexpectedly, Firan Technology 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 Firan Technology will offset losses from the drop in Firan Technology's long position.Thermal Energy vs. Firan Technology Group | Thermal Energy vs. Baylin Technologies | Thermal Energy vs. iShares Canadian HYBrid | Thermal Energy vs. Altagas Cum Red |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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