Correlation Between Wir Asia and Autopedia Sukses
Can any of the company-specific risk be diversified away by investing in both Wir Asia and Autopedia Sukses 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 Wir Asia and Autopedia Sukses into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wir Asia Tbk and Autopedia Sukses Lestari, you can compare the effects of market volatilities on Wir Asia and Autopedia Sukses 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 Wir Asia with a short position of Autopedia Sukses. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wir Asia and Autopedia Sukses.
Diversification Opportunities for Wir Asia and Autopedia Sukses
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Wir and Autopedia is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Wir Asia Tbk and Autopedia Sukses Lestari in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Autopedia Sukses Lestari and Wir Asia 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 Wir Asia Tbk are associated (or correlated) with Autopedia Sukses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Autopedia Sukses Lestari has no effect on the direction of Wir Asia i.e., Wir Asia and Autopedia Sukses go up and down completely randomly.
Pair Corralation between Wir Asia and Autopedia Sukses
Assuming the 90 days trading horizon Wir Asia Tbk is expected to generate 3.25 times more return on investment than Autopedia Sukses. However, Wir Asia is 3.25 times more volatile than Autopedia Sukses Lestari. It trades about 0.03 of its potential returns per unit of risk. Autopedia Sukses Lestari is currently generating about -0.09 per unit of risk. If you would invest 8,400 in Wir Asia Tbk on December 30, 2024 and sell it today you would earn a total of 100.00 from holding Wir Asia Tbk or generate 1.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wir Asia Tbk vs. Autopedia Sukses Lestari
Performance |
Timeline |
Wir Asia Tbk |
Autopedia Sukses Lestari |
Wir Asia and Autopedia Sukses Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wir Asia and Autopedia Sukses
The main advantage of trading using opposite Wir Asia and Autopedia Sukses positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wir Asia position performs unexpectedly, Autopedia Sukses 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 Autopedia Sukses will offset losses from the drop in Autopedia Sukses' long position.Wir Asia vs. GoTo Gojek Tokopedia | Wir Asia vs. Adaro Minerals Indonesia | Wir Asia vs. PT Bukalapak | Wir Asia vs. Bank Artos Indonesia |
Autopedia Sukses vs. Adaro Minerals Indonesia | Autopedia Sukses vs. Dharma Polimetal Tbk | Autopedia Sukses vs. Wir Asia Tbk | Autopedia Sukses vs. Adi Sarana Armada |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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