Correlation Between Unit and PetroChina
Can any of the company-specific risk be diversified away by investing in both Unit and PetroChina 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 Unit and PetroChina into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Unit Corporation and PetroChina Co Ltd, you can compare the effects of market volatilities on Unit and PetroChina 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 Unit with a short position of PetroChina. Check out your portfolio center. Please also check ongoing floating volatility patterns of Unit and PetroChina.
Diversification Opportunities for Unit and PetroChina
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Unit and PetroChina is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Unit Corp. and PetroChina Co Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PetroChina and Unit 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 Unit Corporation are associated (or correlated) with PetroChina. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PetroChina has no effect on the direction of Unit i.e., Unit and PetroChina go up and down completely randomly.
Pair Corralation between Unit and PetroChina
Assuming the 90 days horizon Unit Corporation is expected to generate 5.32 times more return on investment than PetroChina. However, Unit is 5.32 times more volatile than PetroChina Co Ltd. It trades about 0.17 of its potential returns per unit of risk. PetroChina Co Ltd is currently generating about 0.04 per unit of risk. If you would invest 30.00 in Unit Corporation on September 16, 2024 and sell it today you would earn a total of 30.00 from holding Unit Corporation or generate 100.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 75.38% |
Values | Daily Returns |
Unit Corp. vs. PetroChina Co Ltd
Performance |
Timeline |
Unit |
PetroChina |
Unit and PetroChina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Unit and PetroChina
The main advantage of trading using opposite Unit and PetroChina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Unit position performs unexpectedly, PetroChina 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 will offset losses from the drop in PetroChina's long position.The idea behind Unit Corporation and PetroChina Co Ltd pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.PetroChina vs. Equinor ASA | PetroChina vs. Origin Energy Ltd | PetroChina vs. Shell PLC | PetroChina vs. Eni SpA ADR |
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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