Correlation Between XL Axiata and Mahaka Radio
Can any of the company-specific risk be diversified away by investing in both XL Axiata and Mahaka Radio 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 XL Axiata and Mahaka Radio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XL Axiata Tbk and Mahaka Radio Integra, you can compare the effects of market volatilities on XL Axiata and Mahaka Radio 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 XL Axiata with a short position of Mahaka Radio. Check out your portfolio center. Please also check ongoing floating volatility patterns of XL Axiata and Mahaka Radio.
Diversification Opportunities for XL Axiata and Mahaka Radio
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between EXCL and Mahaka is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding XL Axiata Tbk and Mahaka Radio Integra in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mahaka Radio Integra and XL Axiata 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 XL Axiata Tbk are associated (or correlated) with Mahaka Radio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mahaka Radio Integra has no effect on the direction of XL Axiata i.e., XL Axiata and Mahaka Radio go up and down completely randomly.
Pair Corralation between XL Axiata and Mahaka Radio
Assuming the 90 days trading horizon XL Axiata Tbk is expected to under-perform the Mahaka Radio. But the stock apears to be less risky and, when comparing its historical volatility, XL Axiata Tbk is 3.08 times less risky than Mahaka Radio. The stock trades about -0.02 of its potential returns per unit of risk. The Mahaka Radio Integra is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 5,000 in Mahaka Radio Integra on September 3, 2024 and sell it today you would earn a total of 0.00 from holding Mahaka Radio Integra or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
XL Axiata Tbk vs. Mahaka Radio Integra
Performance |
Timeline |
XL Axiata Tbk |
Mahaka Radio Integra |
XL Axiata and Mahaka Radio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XL Axiata and Mahaka Radio
The main advantage of trading using opposite XL Axiata and Mahaka Radio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XL Axiata position performs unexpectedly, Mahaka Radio 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 Mahaka Radio will offset losses from the drop in Mahaka Radio's long position.XL Axiata vs. Indosat Tbk | XL Axiata vs. Jasa Marga Tbk | XL Axiata vs. Indocement Tunggal Prakarsa | XL Axiata vs. Semen Indonesia Persero |
Mahaka Radio vs. Mahaka Media Tbk | Mahaka Radio vs. Sarana Meditama Metropolitan | Mahaka Radio vs. Surya Esa Perkasa | Mahaka Radio vs. Elang Mahkota Teknologi |
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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