Correlation Between XL Axiata and Matahari Department
Can any of the company-specific risk be diversified away by investing in both XL Axiata and Matahari Department 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 Matahari Department 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 Matahari Department Store, you can compare the effects of market volatilities on XL Axiata and Matahari Department 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 Matahari Department. Check out your portfolio center. Please also check ongoing floating volatility patterns of XL Axiata and Matahari Department.
Diversification Opportunities for XL Axiata and Matahari Department
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between EXCL and Matahari is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding XL Axiata Tbk and Matahari Department Store in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matahari Department Store 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 Matahari Department. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matahari Department Store has no effect on the direction of XL Axiata i.e., XL Axiata and Matahari Department go up and down completely randomly.
Pair Corralation between XL Axiata and Matahari Department
Assuming the 90 days trading horizon XL Axiata is expected to generate 21.95 times less return on investment than Matahari Department. But when comparing it to its historical volatility, XL Axiata Tbk is 2.69 times less risky than Matahari Department. It trades about 0.03 of its potential returns per unit of risk. Matahari Department Store is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 140,500 in Matahari Department Store on December 30, 2024 and sell it today you would earn a total of 52,000 from holding Matahari Department Store or generate 37.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
XL Axiata Tbk vs. Matahari Department Store
Performance |
Timeline |
XL Axiata Tbk |
Matahari Department Store |
XL Axiata and Matahari Department Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XL Axiata and Matahari Department
The main advantage of trading using opposite XL Axiata and Matahari Department positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XL Axiata position performs unexpectedly, Matahari Department 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 Matahari Department will offset losses from the drop in Matahari Department'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 |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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