Correlation Between Preferred Bank and VULCAN MATERIALS
Can any of the company-specific risk be diversified away by investing in both Preferred Bank and VULCAN MATERIALS 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 Preferred Bank and VULCAN MATERIALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Preferred Bank and VULCAN MATERIALS, you can compare the effects of market volatilities on Preferred Bank and VULCAN MATERIALS 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 Preferred Bank with a short position of VULCAN MATERIALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Preferred Bank and VULCAN MATERIALS.
Diversification Opportunities for Preferred Bank and VULCAN MATERIALS
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Preferred and VULCAN is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Preferred Bank and VULCAN MATERIALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VULCAN MATERIALS and Preferred Bank 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 Preferred Bank are associated (or correlated) with VULCAN MATERIALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VULCAN MATERIALS has no effect on the direction of Preferred Bank i.e., Preferred Bank and VULCAN MATERIALS go up and down completely randomly.
Pair Corralation between Preferred Bank and VULCAN MATERIALS
Assuming the 90 days horizon Preferred Bank is expected to generate 0.94 times more return on investment than VULCAN MATERIALS. However, Preferred Bank is 1.06 times less risky than VULCAN MATERIALS. It trades about -0.14 of its potential returns per unit of risk. VULCAN MATERIALS is currently generating about -0.26 per unit of risk. If you would invest 8,819 in Preferred Bank on December 11, 2024 and sell it today you would lose (1,119) from holding Preferred Bank or give up 12.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Preferred Bank vs. VULCAN MATERIALS
Performance |
Timeline |
Preferred Bank |
VULCAN MATERIALS |
Preferred Bank and VULCAN MATERIALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Preferred Bank and VULCAN MATERIALS
The main advantage of trading using opposite Preferred Bank and VULCAN MATERIALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Preferred Bank position performs unexpectedly, VULCAN MATERIALS 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 VULCAN MATERIALS will offset losses from the drop in VULCAN MATERIALS's long position.Preferred Bank vs. Sixt Leasing SE | Preferred Bank vs. Global Ship Lease | Preferred Bank vs. Calibre Mining Corp | Preferred Bank vs. Lendlease Group |
VULCAN MATERIALS vs. China BlueChemical | VULCAN MATERIALS vs. LG Electronics | VULCAN MATERIALS vs. EITZEN CHEMICALS | VULCAN MATERIALS vs. Soken Chemical Engineering |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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