Correlation Between RH and Genuine Parts
Can any of the company-specific risk be diversified away by investing in both RH and Genuine Parts 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 RH and Genuine Parts into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RH and Genuine Parts Co, you can compare the effects of market volatilities on RH and Genuine Parts 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 RH with a short position of Genuine Parts. Check out your portfolio center. Please also check ongoing floating volatility patterns of RH and Genuine Parts.
Diversification Opportunities for RH and Genuine Parts
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between RH and Genuine is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding RH and Genuine Parts Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Genuine Parts and RH 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 RH are associated (or correlated) with Genuine Parts. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Genuine Parts has no effect on the direction of RH i.e., RH and Genuine Parts go up and down completely randomly.
Pair Corralation between RH and Genuine Parts
Allowing for the 90-day total investment horizon RH is expected to generate 1.95 times more return on investment than Genuine Parts. However, RH is 1.95 times more volatile than Genuine Parts Co. It trades about 0.03 of its potential returns per unit of risk. Genuine Parts Co is currently generating about -0.03 per unit of risk. If you would invest 28,086 in RH on August 23, 2024 and sell it today you would earn a total of 6,387 from holding RH or generate 22.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
RH vs. Genuine Parts Co
Performance |
| Timeline |
| RH |
| Genuine Parts |
RH and Genuine Parts Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with RH and Genuine Parts
The main advantage of trading using opposite RH and Genuine Parts positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RH position performs unexpectedly, Genuine Parts 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 Genuine Parts will offset losses from the drop in Genuine Parts' long position.The idea behind RH and Genuine Parts Co 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.| Genuine Parts vs. Dover | Genuine Parts vs. Cincinnati Financial | Genuine Parts vs. Leggett Platt Incorporated | Genuine Parts vs. Illinois Tool Works |
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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