Correlation Between Bank Dinar and Itama Ranoraya
Can any of the company-specific risk be diversified away by investing in both Bank Dinar and Itama Ranoraya 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 Dinar and Itama Ranoraya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Dinar Indonesia and Itama Ranoraya, you can compare the effects of market volatilities on Bank Dinar and Itama Ranoraya 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 Dinar with a short position of Itama Ranoraya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Dinar and Itama Ranoraya.
Diversification Opportunities for Bank Dinar and Itama Ranoraya
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Itama is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Bank Dinar Indonesia and Itama Ranoraya in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Itama Ranoraya and Bank Dinar 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 Dinar Indonesia are associated (or correlated) with Itama Ranoraya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Itama Ranoraya has no effect on the direction of Bank Dinar i.e., Bank Dinar and Itama Ranoraya go up and down completely randomly.
Pair Corralation between Bank Dinar and Itama Ranoraya
Assuming the 90 days trading horizon Bank Dinar Indonesia is expected to under-perform the Itama Ranoraya. In addition to that, Bank Dinar is 2.35 times more volatile than Itama Ranoraya. It trades about -0.05 of its total potential returns per unit of risk. Itama Ranoraya is currently generating about -0.05 per unit of volatility. If you would invest 42,200 in Itama Ranoraya on September 17, 2024 and sell it today you would lose (800.00) from holding Itama Ranoraya or give up 1.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Dinar Indonesia vs. Itama Ranoraya
Performance |
Timeline |
Bank Dinar Indonesia |
Itama Ranoraya |
Bank Dinar and Itama Ranoraya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Dinar and Itama Ranoraya
The main advantage of trading using opposite Bank Dinar and Itama Ranoraya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Dinar position performs unexpectedly, Itama Ranoraya 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 Itama Ranoraya will offset losses from the drop in Itama Ranoraya's long position.Bank Dinar vs. Bank Agris Tbk | Bank Dinar vs. Bank Yudha Bhakti | Bank Dinar vs. Bank Qnb Indonesia | Bank Dinar vs. Bank Ganesha Tbk |
Itama Ranoraya vs. Kimia Farma Persero | Itama Ranoraya vs. Indofarma Tbk | Itama Ranoraya vs. Bank BRISyariah Tbk | Itama Ranoraya vs. Bank Rakyat 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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