Correlation Between Jasmine Telecom and KGI Securities
Can any of the company-specific risk be diversified away by investing in both Jasmine Telecom and KGI Securities 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 Telecom and KGI Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jasmine Telecom Systems and KGI Securities Public, you can compare the effects of market volatilities on Jasmine Telecom and KGI Securities 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 Telecom with a short position of KGI Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jasmine Telecom and KGI Securities.
Diversification Opportunities for Jasmine Telecom and KGI Securities
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Jasmine and KGI is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Jasmine Telecom Systems and KGI Securities Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KGI Securities Public and Jasmine Telecom 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 Telecom Systems are associated (or correlated) with KGI Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KGI Securities Public has no effect on the direction of Jasmine Telecom i.e., Jasmine Telecom and KGI Securities go up and down completely randomly.
Pair Corralation between Jasmine Telecom and KGI Securities
Assuming the 90 days trading horizon Jasmine Telecom Systems is expected to under-perform the KGI Securities. In addition to that, Jasmine Telecom is 7.64 times more volatile than KGI Securities Public. It trades about -0.22 of its total potential returns per unit of risk. KGI Securities Public is currently generating about 0.13 per unit of volatility. If you would invest 414.00 in KGI Securities Public on December 21, 2024 and sell it today you would earn a total of 20.00 from holding KGI Securities Public or generate 4.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jasmine Telecom Systems vs. KGI Securities Public
Performance |
Timeline |
Jasmine Telecom Systems |
KGI Securities Public |
Jasmine Telecom and KGI Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jasmine Telecom and KGI Securities
The main advantage of trading using opposite Jasmine Telecom and KGI Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jasmine Telecom position performs unexpectedly, KGI Securities 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 KGI Securities will offset losses from the drop in KGI Securities' long position.Jasmine Telecom vs. Jay Mart Public | Jasmine Telecom vs. Jasmine International Public | Jasmine Telecom vs. KCE Electronics Public | Jasmine Telecom vs. Delta Electronics 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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