Correlation Between Jay Mart and Singer Thailand
Can any of the company-specific risk be diversified away by investing in both Jay Mart and Singer Thailand 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 Singer Thailand 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 Singer Thailand Public, you can compare the effects of market volatilities on Jay Mart and Singer Thailand 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 Singer Thailand. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jay Mart and Singer Thailand.
Diversification Opportunities for Jay Mart and Singer Thailand
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Jay and Singer is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Jay Mart Public and Singer Thailand Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singer Thailand 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 Singer Thailand. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singer Thailand Public has no effect on the direction of Jay Mart i.e., Jay Mart and Singer Thailand go up and down completely randomly.
Pair Corralation between Jay Mart and Singer Thailand
Assuming the 90 days trading horizon Jay Mart Public is expected to under-perform the Singer Thailand. But the stock apears to be less risky and, when comparing its historical volatility, Jay Mart Public is 1.31 times less risky than Singer Thailand. The stock trades about -0.16 of its potential returns per unit of risk. The Singer Thailand Public is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 790.00 in Singer Thailand Public on December 30, 2024 and sell it today you would lose (175.00) from holding Singer Thailand Public or give up 22.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jay Mart Public vs. Singer Thailand Public
Performance |
Timeline |
Jay Mart Public |
Singer Thailand Public |
Jay Mart and Singer Thailand Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jay Mart and Singer Thailand
The main advantage of trading using opposite Jay Mart and Singer Thailand positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jay Mart position performs unexpectedly, Singer Thailand 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 Singer Thailand will offset losses from the drop in Singer Thailand'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 |
Singer Thailand vs. Jay Mart Public | Singer Thailand vs. JMT Network Services | Singer Thailand vs. KCE Electronics Public | Singer Thailand vs. Srisawad Power 1979 |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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