Correlation Between Jay Mart and SiS Distribution
Can any of the company-specific risk be diversified away by investing in both Jay Mart and SiS Distribution 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 Jay Mart and SiS Distribution into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jay Mart Public and SiS Distribution Public, you can compare the effects of market volatilities on Jay Mart and SiS Distribution 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 Jay Mart with a short position of SiS Distribution. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jay Mart and SiS Distribution.
Diversification Opportunities for Jay Mart and SiS Distribution
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jay and SiS is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Jay Mart Public and SiS Distribution Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SiS Distribution Public and Jay Mart 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 Jay Mart Public are associated (or correlated) with SiS Distribution. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SiS Distribution Public has no effect on the direction of Jay Mart i.e., Jay Mart and SiS Distribution go up and down completely randomly.
Pair Corralation between Jay Mart and SiS Distribution
Assuming the 90 days trading horizon Jay Mart Public is expected to under-perform the SiS Distribution. In addition to that, Jay Mart is 1.39 times more volatile than SiS Distribution Public. It trades about -0.16 of its total potential returns per unit of risk. SiS Distribution Public is currently generating about -0.1 per unit of volatility. If you would invest 2,746 in SiS Distribution Public on December 26, 2024 and sell it today you would lose (376.00) from holding SiS Distribution Public or give up 13.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jay Mart Public vs. SiS Distribution Public
Performance |
Timeline |
Jay Mart Public |
SiS Distribution Public |
Jay Mart and SiS Distribution Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jay Mart and SiS Distribution
The main advantage of trading using opposite Jay Mart and SiS Distribution positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jay Mart position performs unexpectedly, SiS Distribution 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 SiS Distribution will offset losses from the drop in SiS Distribution's long position.Jay Mart vs. JMT Network Services | Jay Mart vs. Com7 PCL | Jay Mart vs. KCE Electronics Public | Jay Mart vs. Singer Thailand Public |
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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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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