Correlation Between Weha Transportasi and Tera Data
Can any of the company-specific risk be diversified away by investing in both Weha Transportasi 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 Weha Transportasi and Tera Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Weha Transportasi Indonesia and Tera Data Indonusa, you can compare the effects of market volatilities on Weha Transportasi 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 Weha Transportasi with a short position of Tera Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Weha Transportasi and Tera Data.
Diversification Opportunities for Weha Transportasi and Tera Data
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Weha and Tera is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Weha Transportasi Indonesia 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 Weha Transportasi 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 Weha Transportasi Indonesia 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 Weha Transportasi i.e., Weha Transportasi and Tera Data go up and down completely randomly.
Pair Corralation between Weha Transportasi and Tera Data
Assuming the 90 days trading horizon Weha Transportasi Indonesia is expected to generate 1.2 times more return on investment than Tera Data. However, Weha Transportasi is 1.2 times more volatile than Tera Data Indonusa. It trades about -0.06 of its potential returns per unit of risk. Tera Data Indonusa is currently generating about -0.11 per unit of risk. If you would invest 10,700 in Weha Transportasi Indonesia on December 29, 2024 and sell it today you would lose (1,000.00) from holding Weha Transportasi Indonesia or give up 9.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Weha Transportasi Indonesia vs. Tera Data Indonusa
Performance |
Timeline |
Weha Transportasi |
Tera Data Indonusa |
Weha Transportasi and Tera Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Weha Transportasi and Tera Data
The main advantage of trading using opposite Weha Transportasi and Tera Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Weha Transportasi 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.Weha Transportasi vs. PT Temas Tbk | Weha Transportasi vs. Dosni Roha Indonesia | Weha Transportasi vs. Rig Tenders Tbk | Weha Transportasi vs. Samudera Indonesia Tbk |
Tera Data vs. PT Dewi Shri | Tera Data vs. PT Arkora Hydro | Tera Data vs. Habco Trans Maritima | Tera Data vs. PT Jhonlin Agro |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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