Correlation Between Park Ohio and ChampionX
Can any of the company-specific risk be diversified away by investing in both Park Ohio and ChampionX 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 Park Ohio and ChampionX into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Park Ohio Holdings and ChampionX, you can compare the effects of market volatilities on Park Ohio and ChampionX 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 Park Ohio with a short position of ChampionX. Check out your portfolio center. Please also check ongoing floating volatility patterns of Park Ohio and ChampionX.
Diversification Opportunities for Park Ohio and ChampionX
Very weak diversification
The 3 months correlation between Park and ChampionX is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Park Ohio Holdings and ChampionX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ChampionX and Park Ohio 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 Park Ohio Holdings are associated (or correlated) with ChampionX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ChampionX has no effect on the direction of Park Ohio i.e., Park Ohio and ChampionX go up and down completely randomly.
Pair Corralation between Park Ohio and ChampionX
Given the investment horizon of 90 days Park Ohio Holdings is expected to under-perform the ChampionX. In addition to that, Park Ohio is 1.24 times more volatile than ChampionX. It trades about -0.62 of its total potential returns per unit of risk. ChampionX is currently generating about -0.62 per unit of volatility. If you would invest 3,124 in ChampionX on September 23, 2024 and sell it today you would lose (545.00) from holding ChampionX or give up 17.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Park Ohio Holdings vs. ChampionX
Performance |
Timeline |
Park Ohio Holdings |
ChampionX |
Park Ohio and ChampionX Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Park Ohio and ChampionX
The main advantage of trading using opposite Park Ohio and ChampionX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Park Ohio position performs unexpectedly, ChampionX 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 ChampionX will offset losses from the drop in ChampionX's long position.The idea behind Park Ohio Holdings and ChampionX 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.ChampionX vs. RPC Inc | ChampionX vs. Oceaneering International | ChampionX vs. Valaris | ChampionX vs. TechnipFMC PLC |
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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