Correlation Between Ciptadana Asset and Panin Financial
Can any of the company-specific risk be diversified away by investing in both Ciptadana Asset and Panin Financial 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 Ciptadana Asset and Panin Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ciptadana Asset Management and Panin Financial Tbk, you can compare the effects of market volatilities on Ciptadana Asset and Panin Financial 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 Ciptadana Asset with a short position of Panin Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ciptadana Asset and Panin Financial.
Diversification Opportunities for Ciptadana Asset and Panin Financial
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ciptadana and Panin is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Ciptadana Asset Management and Panin Financial Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Panin Financial Tbk and Ciptadana Asset 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 Ciptadana Asset Management are associated (or correlated) with Panin Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Panin Financial Tbk has no effect on the direction of Ciptadana Asset i.e., Ciptadana Asset and Panin Financial go up and down completely randomly.
Pair Corralation between Ciptadana Asset and Panin Financial
Assuming the 90 days trading horizon Ciptadana Asset Management is expected to generate 0.88 times more return on investment than Panin Financial. However, Ciptadana Asset Management is 1.14 times less risky than Panin Financial. It trades about 0.03 of its potential returns per unit of risk. Panin Financial Tbk is currently generating about 0.02 per unit of risk. If you would invest 5,823 in Ciptadana Asset Management on September 2, 2024 and sell it today you would earn a total of 177.00 from holding Ciptadana Asset Management or generate 3.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ciptadana Asset Management vs. Panin Financial Tbk
Performance |
Timeline |
Ciptadana Asset Mana |
Panin Financial Tbk |
Ciptadana Asset and Panin Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ciptadana Asset and Panin Financial
The main advantage of trading using opposite Ciptadana Asset and Panin Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ciptadana Asset position performs unexpectedly, Panin Financial 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 Panin Financial will offset losses from the drop in Panin Financial's long position.Ciptadana Asset vs. PT Dewi Shri | Ciptadana Asset vs. PT Data Sinergitama | Ciptadana Asset vs. PAM Mineral Tbk | Ciptadana Asset vs. Autopedia Sukses Lestari |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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