Correlation Between Compute Health and Khosla Ventures
Can any of the company-specific risk be diversified away by investing in both Compute Health and Khosla Ventures 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 Compute Health and Khosla Ventures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Compute Health Acquisition and Khosla Ventures Acquisition, you can compare the effects of market volatilities on Compute Health and Khosla Ventures 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 Compute Health with a short position of Khosla Ventures. Check out your portfolio center. Please also check ongoing floating volatility patterns of Compute Health and Khosla Ventures.
Diversification Opportunities for Compute Health and Khosla Ventures
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Compute and Khosla is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Compute Health Acquisition and Khosla Ventures Acquisition in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Khosla Ventures Acqu and Compute Health 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 Compute Health Acquisition are associated (or correlated) with Khosla Ventures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Khosla Ventures Acqu has no effect on the direction of Compute Health i.e., Compute Health and Khosla Ventures go up and down completely randomly.
Pair Corralation between Compute Health and Khosla Ventures
If you would invest 1,062 in Khosla Ventures Acquisition on August 31, 2024 and sell it today you would earn a total of 0.00 from holding Khosla Ventures Acquisition or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Compute Health Acquisition vs. Khosla Ventures Acquisition
Performance |
Timeline |
Compute Health Acqui |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Khosla Ventures Acqu |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Compute Health and Khosla Ventures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Compute Health and Khosla Ventures
The main advantage of trading using opposite Compute Health and Khosla Ventures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Compute Health position performs unexpectedly, Khosla Ventures 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 Khosla Ventures will offset losses from the drop in Khosla Ventures' long position.The idea behind Compute Health Acquisition and Khosla Ventures Acquisition pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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