Correlation Between Bekasi Fajar and PT Data
Can any of the company-specific risk be diversified away by investing in both Bekasi Fajar and PT Data 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 Bekasi Fajar and PT Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bekasi Fajar Industrial and PT Data Sinergitama, you can compare the effects of market volatilities on Bekasi Fajar and PT Data 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 Bekasi Fajar with a short position of PT Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bekasi Fajar and PT Data.
Diversification Opportunities for Bekasi Fajar and PT Data
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bekasi and ELIT is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Bekasi Fajar Industrial and PT Data Sinergitama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Data Sinergitama and Bekasi Fajar 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 Bekasi Fajar Industrial are associated (or correlated) with PT Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Data Sinergitama has no effect on the direction of Bekasi Fajar i.e., Bekasi Fajar and PT Data go up and down completely randomly.
Pair Corralation between Bekasi Fajar and PT Data
Assuming the 90 days trading horizon Bekasi Fajar Industrial is expected to under-perform the PT Data. But the stock apears to be less risky and, when comparing its historical volatility, Bekasi Fajar Industrial is 1.57 times less risky than PT Data. The stock trades about -0.09 of its potential returns per unit of risk. The PT Data Sinergitama is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 10,800 in PT Data Sinergitama on October 9, 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 Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bekasi Fajar Industrial vs. PT Data Sinergitama
Performance |
Timeline |
Bekasi Fajar Industrial |
PT Data Sinergitama |
Bekasi Fajar and PT Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bekasi Fajar and PT Data
The main advantage of trading using opposite Bekasi Fajar and PT Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bekasi Fajar position performs unexpectedly, PT Data 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 PT Data will offset losses from the drop in PT Data's long position.Bekasi Fajar vs. Agung Podomoro Land | Bekasi Fajar vs. Surya Semesta Internusa | Bekasi Fajar vs. Alam Sutera Realty | Bekasi Fajar vs. Bumi Serpong Damai |
PT Data vs. Grand Kartech Tbk | PT Data vs. Lotte Chemical Titan | PT Data vs. City Retail Developments | PT Data vs. Indointernet Tbk PT |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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