Correlation Between Erajaya Swasembada and Bank Artos
Can any of the company-specific risk be diversified away by investing in both Erajaya Swasembada and Bank Artos 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 Erajaya Swasembada and Bank Artos into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Erajaya Swasembada Tbk and Bank Artos Indonesia, you can compare the effects of market volatilities on Erajaya Swasembada and Bank Artos 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 Erajaya Swasembada with a short position of Bank Artos. Check out your portfolio center. Please also check ongoing floating volatility patterns of Erajaya Swasembada and Bank Artos.
Diversification Opportunities for Erajaya Swasembada and Bank Artos
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Erajaya and Bank is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Erajaya Swasembada Tbk and Bank Artos Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Artos Indonesia and Erajaya Swasembada 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 Erajaya Swasembada Tbk are associated (or correlated) with Bank Artos. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Artos Indonesia has no effect on the direction of Erajaya Swasembada i.e., Erajaya Swasembada and Bank Artos go up and down completely randomly.
Pair Corralation between Erajaya Swasembada and Bank Artos
Assuming the 90 days trading horizon Erajaya Swasembada Tbk is expected to generate 1.33 times more return on investment than Bank Artos. However, Erajaya Swasembada is 1.33 times more volatile than Bank Artos Indonesia. It trades about 0.02 of its potential returns per unit of risk. Bank Artos Indonesia is currently generating about -0.26 per unit of risk. If you would invest 40,400 in Erajaya Swasembada Tbk on December 30, 2024 and sell it today you would earn a total of 0.00 from holding Erajaya Swasembada Tbk or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Erajaya Swasembada Tbk vs. Bank Artos Indonesia
Performance |
Timeline |
Erajaya Swasembada Tbk |
Bank Artos Indonesia |
Erajaya Swasembada and Bank Artos Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Erajaya Swasembada and Bank Artos
The main advantage of trading using opposite Erajaya Swasembada and Bank Artos positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Erajaya Swasembada position performs unexpectedly, Bank Artos 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 Artos will offset losses from the drop in Bank Artos' long position.Erajaya Swasembada vs. Ace Hardware Indonesia | Erajaya Swasembada vs. Japfa Comfeed Indonesia | Erajaya Swasembada vs. XL Axiata Tbk | Erajaya Swasembada vs. Pembangunan Perumahan PT |
Bank Artos vs. Elang Mahkota Teknologi | Bank Artos vs. Bank Yudha Bhakti | Bank Artos vs. Bk Harda Internasional | Bank Artos vs. PT Bukalapak |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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