Correlation Between Cahayaputra Asa and Bank Amar
Can any of the company-specific risk be diversified away by investing in both Cahayaputra Asa and Bank Amar 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 Cahayaputra Asa and Bank Amar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cahayaputra Asa Keramik and Bank Amar Indonesia, you can compare the effects of market volatilities on Cahayaputra Asa and Bank Amar 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 Cahayaputra Asa with a short position of Bank Amar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cahayaputra Asa and Bank Amar.
Diversification Opportunities for Cahayaputra Asa and Bank Amar
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cahayaputra and Bank is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Cahayaputra Asa Keramik and Bank Amar Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Amar Indonesia and Cahayaputra Asa 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 Cahayaputra Asa Keramik are associated (or correlated) with Bank Amar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Amar Indonesia has no effect on the direction of Cahayaputra Asa i.e., Cahayaputra Asa and Bank Amar go up and down completely randomly.
Pair Corralation between Cahayaputra Asa and Bank Amar
Assuming the 90 days trading horizon Cahayaputra Asa Keramik is expected to generate 2.73 times more return on investment than Bank Amar. However, Cahayaputra Asa is 2.73 times more volatile than Bank Amar Indonesia. It trades about 0.02 of its potential returns per unit of risk. Bank Amar Indonesia is currently generating about -0.19 per unit of risk. If you would invest 14,500 in Cahayaputra Asa Keramik on September 4, 2024 and sell it today you would earn a total of 0.00 from holding Cahayaputra Asa Keramik or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cahayaputra Asa Keramik vs. Bank Amar Indonesia
Performance |
Timeline |
Cahayaputra Asa Keramik |
Bank Amar Indonesia |
Cahayaputra Asa and Bank Amar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cahayaputra Asa and Bank Amar
The main advantage of trading using opposite Cahayaputra Asa and Bank Amar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cahayaputra Asa position performs unexpectedly, Bank Amar 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 Bank Amar will offset losses from the drop in Bank Amar's long position.Cahayaputra Asa vs. PT Indonesia Kendaraan | Cahayaputra Asa vs. Wijaya Karya Bangunan | Cahayaputra Asa vs. Buyung Poetra Sembada | Cahayaputra Asa vs. J Resources Asia |
Bank Amar vs. Bank Yudha Bhakti | Bank Amar vs. Bk Harda Internasional | Bank Amar vs. Bank Ganesha Tbk | Bank Amar vs. Bank Capital Indonesia |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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