Correlation Between América Móvil, and PT Indosat
Can any of the company-specific risk be diversified away by investing in both América Móvil, and PT Indosat 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 América Móvil, and PT Indosat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amrica Mvil, SAB and PT Indosat Tbk, you can compare the effects of market volatilities on América Móvil, and PT Indosat 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 América Móvil, with a short position of PT Indosat. Check out your portfolio center. Please also check ongoing floating volatility patterns of América Móvil, and PT Indosat.
Diversification Opportunities for América Móvil, and PT Indosat
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between América and PTITF is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Amrica Mvil, SAB and PT Indosat Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Indosat Tbk and América Móvil, 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 Amrica Mvil, SAB are associated (or correlated) with PT Indosat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Indosat Tbk has no effect on the direction of América Móvil, i.e., América Móvil, and PT Indosat go up and down completely randomly.
Pair Corralation between América Móvil, and PT Indosat
Assuming the 90 days horizon América Móvil, is expected to generate 11.39 times less return on investment than PT Indosat. But when comparing it to its historical volatility, Amrica Mvil, SAB is 4.67 times less risky than PT Indosat. It trades about 0.07 of its potential returns per unit of risk. PT Indosat Tbk is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 49.00 in PT Indosat Tbk on October 5, 2024 and sell it today you would lose (33.00) from holding PT Indosat Tbk or give up 67.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 54.41% |
Values | Daily Returns |
Amrica Mvil, SAB vs. PT Indosat Tbk
Performance |
Timeline |
Amrica Mvil, SAB |
PT Indosat Tbk |
América Móvil, and PT Indosat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with América Móvil, and PT Indosat
The main advantage of trading using opposite América Móvil, and PT Indosat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if América Móvil, position performs unexpectedly, PT Indosat 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 PT Indosat will offset losses from the drop in PT Indosat's long position.América Móvil, vs. ARIA Wireless Systems | América Móvil, vs. Monster Beverage Corp | América Móvil, vs. Acco Brands | América Móvil, vs. National Beverage Corp |
PT Indosat vs. Singapore Telecommunications Limited | PT Indosat vs. China Tower | PT Indosat vs. Vodafone Group PLC | PT Indosat vs. MTN Group Ltd |
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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