Correlation Between Era Media and Chandra Asri
Can any of the company-specific risk be diversified away by investing in both Era Media and Chandra Asri 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 Era Media and Chandra Asri into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Era Media Sejahtera and Chandra Asri Petrochemical, you can compare the effects of market volatilities on Era Media and Chandra Asri 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 Era Media with a short position of Chandra Asri. Check out your portfolio center. Please also check ongoing floating volatility patterns of Era Media and Chandra Asri.
Diversification Opportunities for Era Media and Chandra Asri
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Era and Chandra is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Era Media Sejahtera and Chandra Asri Petrochemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chandra Asri Petroch and Era 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 Era Media Sejahtera are associated (or correlated) with Chandra Asri. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chandra Asri Petroch has no effect on the direction of Era Media i.e., Era Media and Chandra Asri go up and down completely randomly.
Pair Corralation between Era Media and Chandra Asri
Assuming the 90 days trading horizon Era Media Sejahtera is expected to generate 0.43 times more return on investment than Chandra Asri. However, Era Media Sejahtera is 2.33 times less risky than Chandra Asri. It trades about -0.06 of its potential returns per unit of risk. Chandra Asri Petrochemical is currently generating about -0.12 per unit of risk. If you would invest 6,000 in Era Media Sejahtera on September 5, 2024 and sell it today you would lose (400.00) from holding Era Media Sejahtera or give up 6.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Era Media Sejahtera vs. Chandra Asri Petrochemical
Performance |
Timeline |
Era Media Sejahtera |
Chandra Asri Petroch |
Era Media and Chandra Asri Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Era Media and Chandra Asri
The main advantage of trading using opposite Era Media and Chandra Asri positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Era Media position performs unexpectedly, Chandra Asri 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 Chandra Asri will offset losses from the drop in Chandra Asri's long position.Era Media vs. Chandra Asri Petrochemical | Era Media vs. Bank Negara Indonesia | Era Media vs. Sumber Alfaria Trijaya | Era Media vs. Mitra Pinasthika Mustika |
Chandra Asri vs. Mitra Pinasthika Mustika | Chandra Asri vs. Jakarta Int Hotels | Chandra Asri vs. Asuransi Harta Aman | Chandra Asri vs. Indosterling Technomedia Tbk |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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