Correlation Between PI Advanced and Korea Petro
Can any of the company-specific risk be diversified away by investing in both PI Advanced and Korea Petro 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 PI Advanced and Korea Petro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PI Advanced Materials and Korea Petro Chemical, you can compare the effects of market volatilities on PI Advanced and Korea Petro 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 PI Advanced with a short position of Korea Petro. Check out your portfolio center. Please also check ongoing floating volatility patterns of PI Advanced and Korea Petro.
Diversification Opportunities for PI Advanced and Korea Petro
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 178920 and Korea is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding PI Advanced Materials and Korea Petro Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Petro Chemical and PI Advanced 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 PI Advanced Materials are associated (or correlated) with Korea Petro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Petro Chemical has no effect on the direction of PI Advanced i.e., PI Advanced and Korea Petro go up and down completely randomly.
Pair Corralation between PI Advanced and Korea Petro
Assuming the 90 days trading horizon PI Advanced Materials is expected to generate 1.86 times more return on investment than Korea Petro. However, PI Advanced is 1.86 times more volatile than Korea Petro Chemical. It trades about -0.16 of its potential returns per unit of risk. Korea Petro Chemical is currently generating about -0.4 per unit of risk. If you would invest 1,942,000 in PI Advanced Materials on September 3, 2024 and sell it today you would lose (301,000) from holding PI Advanced Materials or give up 15.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PI Advanced Materials vs. Korea Petro Chemical
Performance |
Timeline |
PI Advanced Materials |
Korea Petro Chemical |
PI Advanced and Korea Petro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PI Advanced and Korea Petro
The main advantage of trading using opposite PI Advanced and Korea Petro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PI Advanced position performs unexpectedly, Korea Petro 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 Korea Petro will offset losses from the drop in Korea Petro's long position.PI Advanced vs. Lotte Non Life Insurance | PI Advanced vs. Display Tech Co | PI Advanced vs. Korean Reinsurance Co | PI Advanced vs. Grand Korea Leisure |
Korea Petro vs. Lotte Non Life Insurance | Korea Petro vs. Dong A Steel Technology | Korea Petro vs. Samsung Life Insurance | Korea Petro vs. Jb Financial |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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