Correlation Between PT Data and DCI Indonesia
Can any of the company-specific risk be diversified away by investing in both PT Data and DCI Indonesia 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 PT Data and DCI Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Data Sinergitama and DCI Indonesia Tbk, you can compare the effects of market volatilities on PT Data and DCI Indonesia 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 PT Data with a short position of DCI Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Data and DCI Indonesia.
Diversification Opportunities for PT Data and DCI Indonesia
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between ELIT and DCI is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding PT Data Sinergitama and DCI Indonesia Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DCI Indonesia Tbk and PT Data 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 PT Data Sinergitama are associated (or correlated) with DCI Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DCI Indonesia Tbk has no effect on the direction of PT Data i.e., PT Data and DCI Indonesia go up and down completely randomly.
Pair Corralation between PT Data and DCI Indonesia
Assuming the 90 days trading horizon PT Data Sinergitama is expected to generate 1.06 times more return on investment than DCI Indonesia. However, PT Data is 1.06 times more volatile than DCI Indonesia Tbk. It trades about 0.07 of its potential returns per unit of risk. DCI Indonesia Tbk is currently generating about -0.11 per unit of risk. If you would invest 10,800 in PT Data Sinergitama on September 12, 2024 and sell it today you would earn a total of 1,100 from holding PT Data Sinergitama or generate 10.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT Data Sinergitama vs. DCI Indonesia Tbk
Performance |
Timeline |
PT Data Sinergitama |
DCI Indonesia Tbk |
PT Data and DCI Indonesia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Data and DCI Indonesia
The main advantage of trading using opposite PT Data and DCI Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Data position performs unexpectedly, DCI Indonesia 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 DCI Indonesia will offset losses from the drop in DCI Indonesia's long position.PT Data vs. Panin Financial Tbk | PT Data vs. Metrodata Electronics Tbk | PT Data vs. Alumindo Light Metal | PT Data vs. Weha Transportasi Indonesia |
DCI Indonesia vs. Bank Artos Indonesia | DCI Indonesia vs. Elang Mahkota Teknologi | DCI Indonesia vs. Indointernet Tbk PT | DCI Indonesia 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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