Correlation Between Yelooo Integra and Era Media
Can any of the company-specific risk be diversified away by investing in both Yelooo Integra and Era Media 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 Yelooo Integra and Era Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yelooo Integra Datanet and Era Media Sejahtera, you can compare the effects of market volatilities on Yelooo Integra and Era Media 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 Yelooo Integra with a short position of Era Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yelooo Integra and Era Media.
Diversification Opportunities for Yelooo Integra and Era Media
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Yelooo and Era is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Yelooo Integra Datanet and Era Media Sejahtera in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Era Media Sejahtera and Yelooo Integra 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 Yelooo Integra Datanet are associated (or correlated) with Era Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Era Media Sejahtera has no effect on the direction of Yelooo Integra i.e., Yelooo Integra and Era Media go up and down completely randomly.
Pair Corralation between Yelooo Integra and Era Media
Assuming the 90 days trading horizon Yelooo Integra Datanet is expected to generate 2.48 times more return on investment than Era Media. However, Yelooo Integra is 2.48 times more volatile than Era Media Sejahtera. It trades about 0.09 of its potential returns per unit of risk. Era Media Sejahtera is currently generating about 0.01 per unit of risk. If you would invest 1,100 in Yelooo Integra Datanet on October 9, 2024 and sell it today you would earn a total of 800.00 from holding Yelooo Integra Datanet or generate 72.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Yelooo Integra Datanet vs. Era Media Sejahtera
Performance |
Timeline |
Yelooo Integra Datanet |
Era Media Sejahtera |
Yelooo Integra and Era Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yelooo Integra and Era Media
The main advantage of trading using opposite Yelooo Integra and Era Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yelooo Integra position performs unexpectedly, Era Media 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 Era Media will offset losses from the drop in Era Media's long position.Yelooo Integra vs. Garudafood Putra Putri | Yelooo Integra vs. PT Indofood Sukses | Yelooo Integra vs. Cisarua Mountain Dairy | Yelooo Integra vs. Fast Food Indonesia |
Era Media vs. Dharma Polimetal Tbk | Era Media vs. Wintermar Offshore Marine | Era Media vs. Hotel Sahid Jaya | Era Media vs. Metro Healthcare 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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