Correlation Between Fifth Third and PetroChina Company
Can any of the company-specific risk be diversified away by investing in both Fifth Third 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 Fifth Third and PetroChina Company into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fifth Third Bancorp and PetroChina Company Limited, you can compare the effects of market volatilities on Fifth Third 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 Fifth Third with a short position of PetroChina Company. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fifth Third and PetroChina Company.
Diversification Opportunities for Fifth Third and PetroChina Company
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Fifth and PetroChina is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Fifth Third Bancorp and PetroChina Company Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PetroChina Limited and Fifth Third 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 Fifth Third Bancorp 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 Fifth Third i.e., Fifth Third and PetroChina Company go up and down completely randomly.
Pair Corralation between Fifth Third and PetroChina Company
Assuming the 90 days horizon Fifth Third is expected to generate 6.53 times less return on investment than PetroChina Company. But when comparing it to its historical volatility, Fifth Third Bancorp is 2.06 times less risky than PetroChina Company. It trades about 0.04 of its potential returns per unit of risk. PetroChina Company Limited is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 10.00 in PetroChina Company Limited on September 29, 2024 and sell it today you would earn a total of 63.00 from holding PetroChina Company Limited or generate 630.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Fifth Third Bancorp vs. PetroChina Company Limited
Performance |
Timeline |
Fifth Third Bancorp |
PetroChina Limited |
Fifth Third and PetroChina Company Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fifth Third and PetroChina Company
The main advantage of trading using opposite Fifth Third and PetroChina Company positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fifth Third 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.Fifth Third vs. The PNC Financial | Fifth Third vs. Regions Financial | Fifth Third vs. Citizens Financial 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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