Correlation Between Palantir Technologies and CK Asset
Can any of the company-specific risk be diversified away by investing in both Palantir Technologies and CK Asset 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 Palantir Technologies and CK Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Palantir Technologies Class and CK Asset Holdings, you can compare the effects of market volatilities on Palantir Technologies and CK Asset 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 Palantir Technologies with a short position of CK Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Palantir Technologies and CK Asset.
Diversification Opportunities for Palantir Technologies and CK Asset
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Palantir and CHKGF is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Palantir Technologies Class and CK Asset Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CK Asset Holdings and Palantir 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 Palantir Technologies Class are associated (or correlated) with CK Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CK Asset Holdings has no effect on the direction of Palantir Technologies i.e., Palantir Technologies and CK Asset go up and down completely randomly.
Pair Corralation between Palantir Technologies and CK Asset
Given the investment horizon of 90 days Palantir Technologies Class is expected to generate 12.44 times more return on investment than CK Asset. However, Palantir Technologies is 12.44 times more volatile than CK Asset Holdings. It trades about 0.31 of its potential returns per unit of risk. CK Asset Holdings is currently generating about 0.24 per unit of risk. If you would invest 3,051 in Palantir Technologies Class on September 3, 2024 and sell it today you would earn a total of 3,657 from holding Palantir Technologies Class or generate 119.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 26.56% |
Values | Daily Returns |
Palantir Technologies Class vs. CK Asset Holdings
Performance |
Timeline |
Palantir Technologies |
CK Asset Holdings |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Solid
Palantir Technologies and CK Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Palantir Technologies and CK Asset
The main advantage of trading using opposite Palantir Technologies and CK Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Palantir Technologies position performs unexpectedly, CK Asset 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 CK Asset will offset losses from the drop in CK Asset's long position.Palantir Technologies vs. Palo Alto Networks | Palantir Technologies vs. Adobe Systems Incorporated | Palantir Technologies vs. Crowdstrike Holdings | Palantir Technologies vs. Block Inc |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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