Correlation Between Astra International and Weebit Nano
Can any of the company-specific risk be diversified away by investing in both Astra International and Weebit Nano 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 Astra International and Weebit Nano into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astra International Tbk and Weebit Nano Limited, you can compare the effects of market volatilities on Astra International and Weebit Nano 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 Astra International with a short position of Weebit Nano. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astra International and Weebit Nano.
Diversification Opportunities for Astra International and Weebit Nano
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Astra and Weebit is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Astra International Tbk and Weebit Nano Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Weebit Nano Limited and Astra International 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 Astra International Tbk are associated (or correlated) with Weebit Nano. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Weebit Nano Limited has no effect on the direction of Astra International i.e., Astra International and Weebit Nano go up and down completely randomly.
Pair Corralation between Astra International and Weebit Nano
Assuming the 90 days horizon Astra International Tbk is expected to generate 0.37 times more return on investment than Weebit Nano. However, Astra International Tbk is 2.71 times less risky than Weebit Nano. It trades about -0.03 of its potential returns per unit of risk. Weebit Nano Limited is currently generating about -0.1 per unit of risk. If you would invest 600.00 in Astra International Tbk on December 27, 2024 and sell it today you would lose (32.00) from holding Astra International Tbk or give up 5.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Astra International Tbk vs. Weebit Nano Limited
Performance |
Timeline |
Astra International Tbk |
Weebit Nano Limited |
Astra International and Weebit Nano Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astra International and Weebit Nano
The main advantage of trading using opposite Astra International and Weebit Nano positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astra International position performs unexpectedly, Weebit Nano 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 Weebit Nano will offset losses from the drop in Weebit Nano's long position.Astra International vs. Motorcar Parts of | Astra International vs. ECARX Holdings Class | Astra International vs. Fox Factory Holding | Astra International vs. Commercial Vehicle Group |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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