Correlation Between HYZON Motors and Inspira Technologies
Can any of the company-specific risk be diversified away by investing in both HYZON Motors and Inspira 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 HYZON Motors and Inspira Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HYZON Motors and Inspira Technologies Oxy, you can compare the effects of market volatilities on HYZON Motors and Inspira 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 HYZON Motors with a short position of Inspira Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of HYZON Motors and Inspira Technologies.
Diversification Opportunities for HYZON Motors and Inspira Technologies
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between HYZON and Inspira is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding HYZON Motors and Inspira Technologies Oxy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inspira Technologies Oxy and HYZON Motors 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 HYZON Motors are associated (or correlated) with Inspira Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inspira Technologies Oxy has no effect on the direction of HYZON Motors i.e., HYZON Motors and Inspira Technologies go up and down completely randomly.
Pair Corralation between HYZON Motors and Inspira Technologies
Assuming the 90 days horizon HYZON Motors is expected to generate 1.23 times more return on investment than Inspira Technologies. However, HYZON Motors is 1.23 times more volatile than Inspira Technologies Oxy. It trades about 0.1 of its potential returns per unit of risk. Inspira Technologies Oxy is currently generating about -0.04 per unit of risk. If you would invest 1.40 in HYZON Motors on September 24, 2024 and sell it today you would earn a total of 0.10 from holding HYZON Motors or generate 7.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
HYZON Motors vs. Inspira Technologies Oxy
Performance |
Timeline |
HYZON Motors |
Inspira Technologies Oxy |
HYZON Motors and Inspira Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HYZON Motors and Inspira Technologies
The main advantage of trading using opposite HYZON Motors and Inspira Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HYZON Motors position performs unexpectedly, Inspira 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 Inspira Technologies will offset losses from the drop in Inspira Technologies' long position.HYZON Motors vs. Ford Motor | HYZON Motors vs. General Motors | HYZON Motors vs. Goodyear Tire Rubber | HYZON Motors vs. Li Auto |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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