Correlation Between RF Materials and Ssangyong Materials
Can any of the company-specific risk be diversified away by investing in both RF Materials and Ssangyong Materials 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 RF Materials and Ssangyong Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RF Materials Co and Ssangyong Materials Corp, you can compare the effects of market volatilities on RF Materials and Ssangyong Materials 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 RF Materials with a short position of Ssangyong Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of RF Materials and Ssangyong Materials.
Diversification Opportunities for RF Materials and Ssangyong Materials
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between 327260 and Ssangyong is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding RF Materials Co and Ssangyong Materials Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ssangyong Materials Corp and RF Materials 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 RF Materials Co are associated (or correlated) with Ssangyong Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ssangyong Materials Corp has no effect on the direction of RF Materials i.e., RF Materials and Ssangyong Materials go up and down completely randomly.
Pair Corralation between RF Materials and Ssangyong Materials
Assuming the 90 days trading horizon RF Materials Co is expected to under-perform the Ssangyong Materials. In addition to that, RF Materials is 1.64 times more volatile than Ssangyong Materials Corp. It trades about -0.25 of its total potential returns per unit of risk. Ssangyong Materials Corp is currently generating about 0.05 per unit of volatility. If you would invest 227,500 in Ssangyong Materials Corp on September 19, 2024 and sell it today you would earn a total of 5,500 from holding Ssangyong Materials Corp or generate 2.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
RF Materials Co vs. Ssangyong Materials Corp
Performance |
Timeline |
RF Materials |
Ssangyong Materials Corp |
RF Materials and Ssangyong Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RF Materials and Ssangyong Materials
The main advantage of trading using opposite RF Materials and Ssangyong Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RF Materials position performs unexpectedly, Ssangyong Materials 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 Ssangyong Materials will offset losses from the drop in Ssangyong Materials' long position.RF Materials vs. UJU Electronics Co | RF Materials vs. FNSTech Co | RF Materials vs. Vitzro Tech Co | RF Materials vs. Sangshin Electronics Co |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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