Correlation Between East West and Village Super
Can any of the company-specific risk be diversified away by investing in both East West and Village Super 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 East West and Village Super into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between East West Bancorp and Village Super Market, you can compare the effects of market volatilities on East West and Village Super 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 East West with a short position of Village Super. Check out your portfolio center. Please also check ongoing floating volatility patterns of East West and Village Super.
Diversification Opportunities for East West and Village Super
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between East and Village is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding East West Bancorp and Village Super Market in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Village Super Market and East West 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 East West Bancorp are associated (or correlated) with Village Super. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Village Super Market has no effect on the direction of East West i.e., East West and Village Super go up and down completely randomly.
Pair Corralation between East West and Village Super
Given the investment horizon of 90 days East West is expected to generate 1.79 times less return on investment than Village Super. But when comparing it to its historical volatility, East West Bancorp is 1.2 times less risky than Village Super. It trades about 0.04 of its potential returns per unit of risk. Village Super Market is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 2,957 in Village Super Market on October 24, 2024 and sell it today you would earn a total of 248.00 from holding Village Super Market or generate 8.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
East West Bancorp vs. Village Super Market
Performance |
Timeline |
East West Bancorp |
Village Super Market |
East West and Village Super Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with East West and Village Super
The main advantage of trading using opposite East West and Village Super positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if East West position performs unexpectedly, Village Super 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 Village Super will offset losses from the drop in Village Super's long position.East West vs. Barclays PLC ADR | East West vs. UBS Group AG | East West vs. ING Group NV | East West vs. Citigroup |
Village Super vs. Ingles Markets Incorporated | Village Super vs. Natural Grocers by | Village Super vs. Grocery Outlet Holding | Village Super vs. Weis Markets |
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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