Correlation Between Dyandra Media and Bekasi Fajar
Can any of the company-specific risk be diversified away by investing in both Dyandra Media and Bekasi Fajar 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 Dyandra Media and Bekasi Fajar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dyandra Media International and Bekasi Fajar Industrial, you can compare the effects of market volatilities on Dyandra Media and Bekasi Fajar 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 Dyandra Media with a short position of Bekasi Fajar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dyandra Media and Bekasi Fajar.
Diversification Opportunities for Dyandra Media and Bekasi Fajar
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dyandra and Bekasi is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Dyandra Media International and Bekasi Fajar Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bekasi Fajar Industrial and Dyandra Media 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 Dyandra Media International are associated (or correlated) with Bekasi Fajar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bekasi Fajar Industrial has no effect on the direction of Dyandra Media i.e., Dyandra Media and Bekasi Fajar go up and down completely randomly.
Pair Corralation between Dyandra Media and Bekasi Fajar
Assuming the 90 days trading horizon Dyandra Media International is expected to under-perform the Bekasi Fajar. In addition to that, Dyandra Media is 1.22 times more volatile than Bekasi Fajar Industrial. It trades about -0.13 of its total potential returns per unit of risk. Bekasi Fajar Industrial is currently generating about -0.09 per unit of volatility. If you would invest 12,700 in Bekasi Fajar Industrial on September 12, 2024 and sell it today you would lose (1,600) from holding Bekasi Fajar Industrial or give up 12.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dyandra Media International vs. Bekasi Fajar Industrial
Performance |
Timeline |
Dyandra Media Intern |
Bekasi Fajar Industrial |
Dyandra Media and Bekasi Fajar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dyandra Media and Bekasi Fajar
The main advantage of trading using opposite Dyandra Media and Bekasi Fajar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dyandra Media position performs unexpectedly, Bekasi Fajar 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 Bekasi Fajar will offset losses from the drop in Bekasi Fajar's long position.Dyandra Media vs. Electronic City Indonesia | Dyandra Media vs. Steel Pipe Industry | Dyandra Media vs. Visi Media Asia | Dyandra Media vs. Bekasi Fajar Industrial |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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