Correlation Between Smartfren Telecom and Tera Data
Can any of the company-specific risk be diversified away by investing in both Smartfren Telecom and Tera Data 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 Smartfren Telecom and Tera Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Smartfren Telecom Tbk and Tera Data Indonusa, you can compare the effects of market volatilities on Smartfren Telecom and Tera Data 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 Smartfren Telecom with a short position of Tera Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Smartfren Telecom and Tera Data.
Diversification Opportunities for Smartfren Telecom and Tera Data
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Smartfren and Tera is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Smartfren Telecom Tbk and Tera Data Indonusa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tera Data Indonusa and Smartfren Telecom 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 Smartfren Telecom Tbk are associated (or correlated) with Tera Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tera Data Indonusa has no effect on the direction of Smartfren Telecom i.e., Smartfren Telecom and Tera Data go up and down completely randomly.
Pair Corralation between Smartfren Telecom and Tera Data
Assuming the 90 days trading horizon Smartfren Telecom Tbk is expected to under-perform the Tera Data. In addition to that, Smartfren Telecom is 1.79 times more volatile than Tera Data Indonusa. It trades about -0.06 of its total potential returns per unit of risk. Tera Data Indonusa is currently generating about -0.08 per unit of volatility. If you would invest 13,637 in Tera Data Indonusa on September 3, 2024 and sell it today you would lose (1,437) from holding Tera Data Indonusa or give up 10.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Smartfren Telecom Tbk vs. Tera Data Indonusa
Performance |
Timeline |
Smartfren Telecom Tbk |
Tera Data Indonusa |
Smartfren Telecom and Tera Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Smartfren Telecom and Tera Data
The main advantage of trading using opposite Smartfren Telecom and Tera Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Smartfren Telecom position performs unexpectedly, Tera Data 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 Tera Data will offset losses from the drop in Tera Data's long position.Smartfren Telecom vs. Indosat Tbk | Smartfren Telecom vs. Energi Mega Persada | Smartfren Telecom vs. Mitra Pinasthika Mustika | Smartfren Telecom vs. Jakarta Int Hotels |
Tera Data vs. PT Dewi Shri | Tera Data vs. Autopedia Sukses Lestari | Tera Data vs. Mitra Pinasthika Mustika | Tera Data vs. Jakarta Int Hotels |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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