Correlation Between Jay Mart and Krungthai Card
Can any of the company-specific risk be diversified away by investing in both Jay Mart and Krungthai Card 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 Krungthai Card 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 Krungthai Card Public, you can compare the effects of market volatilities on Jay Mart and Krungthai Card 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 Krungthai Card. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jay Mart and Krungthai Card.
Diversification Opportunities for Jay Mart and Krungthai Card
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Jay and Krungthai is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Jay Mart Public and Krungthai Card Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Krungthai Card 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 Krungthai Card. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Krungthai Card Public has no effect on the direction of Jay Mart i.e., Jay Mart and Krungthai Card go up and down completely randomly.
Pair Corralation between Jay Mart and Krungthai Card
Assuming the 90 days trading horizon Jay Mart Public is expected to under-perform the Krungthai Card. But the stock apears to be less risky and, when comparing its historical volatility, Jay Mart Public is 70.2 times less risky than Krungthai Card. The stock trades about -0.06 of its potential returns per unit of risk. The Krungthai Card Public is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 4,688 in Krungthai Card Public on August 31, 2024 and sell it today you would lose (88.00) from holding Krungthai Card Public or give up 1.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Jay Mart Public vs. Krungthai Card Public
Performance |
Timeline |
Jay Mart Public |
Krungthai Card Public |
Jay Mart and Krungthai Card Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jay Mart and Krungthai Card
The main advantage of trading using opposite Jay Mart and Krungthai Card positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jay Mart position performs unexpectedly, Krungthai Card 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 Krungthai Card will offset losses from the drop in Krungthai Card's long position.Jay Mart vs. AP Public | Jay Mart vs. Jasmine International Public | Jay Mart vs. Asia Plus Group | Jay Mart vs. Bangchak Public |
Krungthai Card vs. Krung Thai Bank | Krungthai Card vs. Bangkok Expressway and | Krungthai Card vs. The Siam Commercial | Krungthai Card vs. Advanced Info Service |
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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