Correlation Between Innoviz Technologies and BELIMO Holding
Can any of the company-specific risk be diversified away by investing in both Innoviz Technologies and BELIMO Holding 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 Innoviz Technologies and BELIMO Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innoviz Technologies and BELIMO Holding AG, you can compare the effects of market volatilities on Innoviz Technologies and BELIMO Holding 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 Innoviz Technologies with a short position of BELIMO Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innoviz Technologies and BELIMO Holding.
Diversification Opportunities for Innoviz Technologies and BELIMO Holding
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Innoviz and BELIMO is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Innoviz Technologies and BELIMO Holding AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BELIMO Holding AG and Innoviz 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 Innoviz Technologies are associated (or correlated) with BELIMO Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BELIMO Holding AG has no effect on the direction of Innoviz Technologies i.e., Innoviz Technologies and BELIMO Holding go up and down completely randomly.
Pair Corralation between Innoviz Technologies and BELIMO Holding
Given the investment horizon of 90 days Innoviz Technologies is expected to under-perform the BELIMO Holding. In addition to that, Innoviz Technologies is 3.33 times more volatile than BELIMO Holding AG. It trades about -0.01 of its total potential returns per unit of risk. BELIMO Holding AG is currently generating about 0.07 per unit of volatility. If you would invest 47,326 in BELIMO Holding AG on October 3, 2024 and sell it today you would earn a total of 20,546 from holding BELIMO Holding AG or generate 43.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 72.73% |
Values | Daily Returns |
Innoviz Technologies vs. BELIMO Holding AG
Performance |
Timeline |
Innoviz Technologies |
BELIMO Holding AG |
Innoviz Technologies and BELIMO Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Innoviz Technologies and BELIMO Holding
The main advantage of trading using opposite Innoviz Technologies and BELIMO Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innoviz Technologies position performs unexpectedly, BELIMO Holding 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 BELIMO Holding will offset losses from the drop in BELIMO Holding's long position.Innoviz Technologies vs. Aeye Inc | Innoviz Technologies vs. Luminar Technologies | Innoviz Technologies vs. Hesai Group American | Innoviz Technologies vs. Mobileye Global Class |
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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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