Correlation Between PT Astra and China National
Can any of the company-specific risk be diversified away by investing in both PT Astra and China National 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 PT Astra and China National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Astra International and China National Building, you can compare the effects of market volatilities on PT Astra and China National 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 PT Astra with a short position of China National. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Astra and China National.
Diversification Opportunities for PT Astra and China National
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between PTAIF and China is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding PT Astra International and China National Building in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China National Building and PT Astra 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 PT Astra International are associated (or correlated) with China National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China National Building has no effect on the direction of PT Astra i.e., PT Astra and China National go up and down completely randomly.
Pair Corralation between PT Astra and China National
Assuming the 90 days horizon PT Astra is expected to generate 4.0 times less return on investment than China National. But when comparing it to its historical volatility, PT Astra International is 3.93 times less risky than China National. It trades about 0.16 of its potential returns per unit of risk. China National Building is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 1,455 in China National Building on September 4, 2024 and sell it today you would earn a total of 950.00 from holding China National Building or generate 65.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
PT Astra International vs. China National Building
Performance |
Timeline |
PT Astra International |
China National Building |
PT Astra and China National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Astra and China National
The main advantage of trading using opposite PT Astra and China National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Astra position performs unexpectedly, China National 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 China National will offset losses from the drop in China National's long position.PT Astra vs. Allison Transmission Holdings | PT Astra vs. Luminar Technologies | PT Astra vs. Quantumscape Corp | PT Astra vs. Lear Corporation |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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