Correlation Between Bangkok Bank and Jasmine Telecom
Can any of the company-specific risk be diversified away by investing in both Bangkok Bank and Jasmine Telecom 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 Bangkok Bank and Jasmine Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bangkok Bank Public and Jasmine Telecom Systems, you can compare the effects of market volatilities on Bangkok Bank and Jasmine Telecom 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 Bangkok Bank with a short position of Jasmine Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bangkok Bank and Jasmine Telecom.
Diversification Opportunities for Bangkok Bank and Jasmine Telecom
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bangkok and Jasmine is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Bangkok Bank Public and Jasmine Telecom Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jasmine Telecom Systems and Bangkok Bank 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 Bangkok Bank Public are associated (or correlated) with Jasmine Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jasmine Telecom Systems has no effect on the direction of Bangkok Bank i.e., Bangkok Bank and Jasmine Telecom go up and down completely randomly.
Pair Corralation between Bangkok Bank and Jasmine Telecom
Assuming the 90 days trading horizon Bangkok Bank Public is expected to under-perform the Jasmine Telecom. But the stock apears to be less risky and, when comparing its historical volatility, Bangkok Bank Public is 2.59 times less risky than Jasmine Telecom. The stock trades about -0.01 of its potential returns per unit of risk. The Jasmine Telecom Systems is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 6,575 in Jasmine Telecom Systems on September 12, 2024 and sell it today you would earn a total of 325.00 from holding Jasmine Telecom Systems or generate 4.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bangkok Bank Public vs. Jasmine Telecom Systems
Performance |
Timeline |
Bangkok Bank Public |
Jasmine Telecom Systems |
Bangkok Bank and Jasmine Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bangkok Bank and Jasmine Telecom
The main advantage of trading using opposite Bangkok Bank and Jasmine Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bangkok Bank position performs unexpectedly, Jasmine Telecom 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 Jasmine Telecom will offset losses from the drop in Jasmine Telecom's long position.Bangkok Bank vs. SCB X Public | Bangkok Bank vs. Kasikornbank Public | Bangkok Bank vs. PTT Public | Bangkok Bank vs. The Siam Cement |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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