Correlation Between Adira Dinamika and Wahana Ottomitra
Can any of the company-specific risk be diversified away by investing in both Adira Dinamika and Wahana Ottomitra 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 Adira Dinamika and Wahana Ottomitra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Adira Dinamika Multi and Wahana Ottomitra Multiartha, you can compare the effects of market volatilities on Adira Dinamika and Wahana Ottomitra 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 Adira Dinamika with a short position of Wahana Ottomitra. Check out your portfolio center. Please also check ongoing floating volatility patterns of Adira Dinamika and Wahana Ottomitra.
Diversification Opportunities for Adira Dinamika and Wahana Ottomitra
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Adira and Wahana is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Adira Dinamika Multi and Wahana Ottomitra Multiartha in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wahana Ottomitra Mul and Adira Dinamika 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 Adira Dinamika Multi are associated (or correlated) with Wahana Ottomitra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wahana Ottomitra Mul has no effect on the direction of Adira Dinamika i.e., Adira Dinamika and Wahana Ottomitra go up and down completely randomly.
Pair Corralation between Adira Dinamika and Wahana Ottomitra
Assuming the 90 days trading horizon Adira Dinamika Multi is expected to under-perform the Wahana Ottomitra. But the stock apears to be less risky and, when comparing its historical volatility, Adira Dinamika Multi is 1.2 times less risky than Wahana Ottomitra. The stock trades about -0.2 of its potential returns per unit of risk. The Wahana Ottomitra Multiartha is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 36,200 in Wahana Ottomitra Multiartha on September 13, 2024 and sell it today you would lose (1,000.00) from holding Wahana Ottomitra Multiartha or give up 2.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Adira Dinamika Multi vs. Wahana Ottomitra Multiartha
Performance |
Timeline |
Adira Dinamika Multi |
Wahana Ottomitra Mul |
Adira Dinamika and Wahana Ottomitra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Adira Dinamika and Wahana Ottomitra
The main advantage of trading using opposite Adira Dinamika and Wahana Ottomitra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Adira Dinamika position performs unexpectedly, Wahana Ottomitra 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 Wahana Ottomitra will offset losses from the drop in Wahana Ottomitra's long position.Adira Dinamika vs. Paninvest Tbk | Adira Dinamika vs. Maskapai Reasuransi Indonesia | Adira Dinamika vs. Panin Sekuritas Tbk | Adira Dinamika vs. Wahana Ottomitra Multiartha |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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