Correlation Between Apple and PetroChina Company
Can any of the company-specific risk be diversified away by investing in both Apple and PetroChina Company 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 Apple and PetroChina Company into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and PetroChina Company Limited, you can compare the effects of market volatilities on Apple and PetroChina Company 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 Apple with a short position of PetroChina Company. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and PetroChina Company.
Diversification Opportunities for Apple and PetroChina Company
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Apple and PetroChina is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and PetroChina Company Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PetroChina Limited and Apple 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 Apple Inc are associated (or correlated) with PetroChina Company. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PetroChina Limited has no effect on the direction of Apple i.e., Apple and PetroChina Company go up and down completely randomly.
Pair Corralation between Apple and PetroChina Company
Assuming the 90 days trading horizon Apple is expected to generate 4.25 times less return on investment than PetroChina Company. But when comparing it to its historical volatility, Apple Inc is 2.89 times less risky than PetroChina Company. It trades about 0.07 of its potential returns per unit of risk. PetroChina Company Limited is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 28.00 in PetroChina Company Limited on August 27, 2024 and sell it today you would earn a total of 41.00 from holding PetroChina Company Limited or generate 146.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Apple Inc vs. PetroChina Company Limited
Performance |
Timeline |
Apple Inc |
PetroChina Limited |
Apple and PetroChina Company Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apple and PetroChina Company
The main advantage of trading using opposite Apple and PetroChina Company positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple position performs unexpectedly, PetroChina Company 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 PetroChina Company will offset losses from the drop in PetroChina Company's long position.Apple vs. Samsung Electronics Co | Apple vs. Samsung Electronics Co | Apple vs. Samsung Electronics Co | Apple vs. Samsung Electronics Co |
PetroChina Company vs. Apple Inc | PetroChina Company vs. Apple Inc | PetroChina Company vs. Apple Inc | PetroChina Company vs. Apple Inc |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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