Correlation Between ChampionX and Core Laboratories
Can any of the company-specific risk be diversified away by investing in both ChampionX and Core Laboratories 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 ChampionX and Core Laboratories into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ChampionX and Core Laboratories NV, you can compare the effects of market volatilities on ChampionX and Core Laboratories 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 ChampionX with a short position of Core Laboratories. Check out your portfolio center. Please also check ongoing floating volatility patterns of ChampionX and Core Laboratories.
Diversification Opportunities for ChampionX and Core Laboratories
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ChampionX and Core is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding ChampionX and Core Laboratories NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Core Laboratories and ChampionX 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 ChampionX are associated (or correlated) with Core Laboratories. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Core Laboratories has no effect on the direction of ChampionX i.e., ChampionX and Core Laboratories go up and down completely randomly.
Pair Corralation between ChampionX and Core Laboratories
Considering the 90-day investment horizon ChampionX is expected to under-perform the Core Laboratories. But the stock apears to be less risky and, when comparing its historical volatility, ChampionX is 1.62 times less risky than Core Laboratories. The stock trades about -0.27 of its potential returns per unit of risk. The Core Laboratories NV is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,953 in Core Laboratories NV on September 16, 2024 and sell it today you would lose (9.00) from holding Core Laboratories NV or give up 0.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ChampionX vs. Core Laboratories NV
Performance |
Timeline |
ChampionX |
Core Laboratories |
ChampionX and Core Laboratories Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ChampionX and Core Laboratories
The main advantage of trading using opposite ChampionX and Core Laboratories positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ChampionX position performs unexpectedly, Core Laboratories 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 Core Laboratories will offset losses from the drop in Core Laboratories' long position.ChampionX vs. Tenaris SA ADR | ChampionX vs. Dawson Geophysical | ChampionX vs. Bristow Group | ChampionX vs. Enerflex |
Core Laboratories vs. Tenaris SA ADR | Core Laboratories vs. Dawson Geophysical | Core Laboratories vs. Bristow Group | Core Laboratories vs. Enerflex |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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