Correlation Between Jasmine International and MFC Nichada
Can any of the company-specific risk be diversified away by investing in both Jasmine International and MFC Nichada 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 Jasmine International and MFC Nichada into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jasmine International Public and MFC Nichada Thani Property, you can compare the effects of market volatilities on Jasmine International and MFC Nichada 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 Jasmine International with a short position of MFC Nichada. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jasmine International and MFC Nichada.
Diversification Opportunities for Jasmine International and MFC Nichada
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Jasmine and MFC is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Jasmine International Public and MFC Nichada Thani Property in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFC Nichada Thani and Jasmine International 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 Jasmine International Public are associated (or correlated) with MFC Nichada. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFC Nichada Thani has no effect on the direction of Jasmine International i.e., Jasmine International and MFC Nichada go up and down completely randomly.
Pair Corralation between Jasmine International and MFC Nichada
Assuming the 90 days trading horizon Jasmine International Public is expected to under-perform the MFC Nichada. In addition to that, Jasmine International is 2.12 times more volatile than MFC Nichada Thani Property. It trades about -0.02 of its total potential returns per unit of risk. MFC Nichada Thani Property is currently generating about 0.04 per unit of volatility. If you would invest 190.00 in MFC Nichada Thani Property on April 23, 2025 and sell it today you would earn a total of 5.00 from holding MFC Nichada Thani Property or generate 2.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.31% |
Values | Daily Returns |
Jasmine International Public vs. MFC Nichada Thani Property
Performance |
Timeline |
Jasmine International |
MFC Nichada Thani |
Jasmine International and MFC Nichada Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jasmine International and MFC Nichada
The main advantage of trading using opposite Jasmine International and MFC Nichada positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jasmine International position performs unexpectedly, MFC Nichada 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 MFC Nichada will offset losses from the drop in MFC Nichada's long position.Jasmine International vs. True Public | Jasmine International vs. Land and Houses | Jasmine International vs. Advanced Info Service | Jasmine International vs. Krung Thai Bank |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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