Correlation Between GEELY AUTOMOBILE and Polyplex PCL
Can any of the company-specific risk be diversified away by investing in both GEELY AUTOMOBILE and Polyplex PCL 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 GEELY AUTOMOBILE and Polyplex PCL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEELY AUTOMOBILE and Polyplex PCL, you can compare the effects of market volatilities on GEELY AUTOMOBILE and Polyplex PCL 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 GEELY AUTOMOBILE with a short position of Polyplex PCL. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEELY AUTOMOBILE and Polyplex PCL.
Diversification Opportunities for GEELY AUTOMOBILE and Polyplex PCL
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between GEELY and Polyplex is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding GEELY AUTOMOBILE and Polyplex PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polyplex PCL and GEELY AUTOMOBILE 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 GEELY AUTOMOBILE are associated (or correlated) with Polyplex PCL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polyplex PCL has no effect on the direction of GEELY AUTOMOBILE i.e., GEELY AUTOMOBILE and Polyplex PCL go up and down completely randomly.
Pair Corralation between GEELY AUTOMOBILE and Polyplex PCL
Assuming the 90 days trading horizon GEELY AUTOMOBILE is expected to generate 0.59 times more return on investment than Polyplex PCL. However, GEELY AUTOMOBILE is 1.69 times less risky than Polyplex PCL. It trades about -0.17 of its potential returns per unit of risk. Polyplex PCL is currently generating about -0.37 per unit of risk. If you would invest 184.00 in GEELY AUTOMOBILE on October 26, 2024 and sell it today you would lose (10.00) from holding GEELY AUTOMOBILE or give up 5.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GEELY AUTOMOBILE vs. Polyplex PCL
Performance |
Timeline |
GEELY AUTOMOBILE |
Polyplex PCL |
GEELY AUTOMOBILE and Polyplex PCL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEELY AUTOMOBILE and Polyplex PCL
The main advantage of trading using opposite GEELY AUTOMOBILE and Polyplex PCL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEELY AUTOMOBILE position performs unexpectedly, Polyplex PCL 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 Polyplex PCL will offset losses from the drop in Polyplex PCL's long position.GEELY AUTOMOBILE vs. SAFEROADS HLDGS | GEELY AUTOMOBILE vs. LPKF Laser Electronics | GEELY AUTOMOBILE vs. Transport International Holdings | GEELY AUTOMOBILE vs. Broadridge Financial Solutions |
Polyplex PCL vs. Heidelberg Materials AG | Polyplex PCL vs. EAGLE MATERIALS | Polyplex PCL vs. Summit Hotel Properties | Polyplex PCL vs. NH HOTEL GROUP |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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