Correlation Between Bank Pan and Trimegah Securities
Can any of the company-specific risk be diversified away by investing in both Bank Pan and Trimegah 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 Bank Pan and Trimegah Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Pan Indonesia and Trimegah Securities Tbk, you can compare the effects of market volatilities on Bank Pan and Trimegah 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 Bank Pan with a short position of Trimegah Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Pan and Trimegah Securities.
Diversification Opportunities for Bank Pan and Trimegah Securities
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bank and Trimegah is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Bank Pan Indonesia and Trimegah Securities Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trimegah Securities Tbk and Bank Pan 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 Bank Pan Indonesia are associated (or correlated) with Trimegah Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trimegah Securities Tbk has no effect on the direction of Bank Pan i.e., Bank Pan and Trimegah Securities go up and down completely randomly.
Pair Corralation between Bank Pan and Trimegah Securities
Assuming the 90 days trading horizon Bank Pan is expected to generate 45.1 times less return on investment than Trimegah Securities. But when comparing it to its historical volatility, Bank Pan Indonesia is 1.37 times less risky than Trimegah Securities. It trades about 0.0 of its potential returns per unit of risk. Trimegah Securities Tbk is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 35,600 in Trimegah Securities Tbk on November 4, 2024 and sell it today you would earn a total of 1,000.00 from holding Trimegah Securities Tbk or generate 2.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Pan Indonesia vs. Trimegah Securities Tbk
Performance |
Timeline |
Bank Pan Indonesia |
Trimegah Securities Tbk |
Bank Pan and Trimegah Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Pan and Trimegah Securities
The main advantage of trading using opposite Bank Pan and Trimegah Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Pan position performs unexpectedly, Trimegah 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 Trimegah Securities will offset losses from the drop in Trimegah Securities' long position.Bank Pan vs. Bank Danamon Indonesia | Bank Pan vs. Bank Cimb Niaga | Bank Pan vs. Panin Financial Tbk | Bank Pan vs. Bank Maybank Indonesia |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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