Correlation Between MGP Ingredients and Willamette Valley
Can any of the company-specific risk be diversified away by investing in both MGP Ingredients and Willamette Valley 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 MGP Ingredients and Willamette Valley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MGP Ingredients and Willamette Valley Vineyards, you can compare the effects of market volatilities on MGP Ingredients and Willamette Valley 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 MGP Ingredients with a short position of Willamette Valley. Check out your portfolio center. Please also check ongoing floating volatility patterns of MGP Ingredients and Willamette Valley.
Diversification Opportunities for MGP Ingredients and Willamette Valley
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MGP and Willamette is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding MGP Ingredients and Willamette Valley Vineyards in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Willamette Valley and MGP Ingredients 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 MGP Ingredients are associated (or correlated) with Willamette Valley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Willamette Valley has no effect on the direction of MGP Ingredients i.e., MGP Ingredients and Willamette Valley go up and down completely randomly.
Pair Corralation between MGP Ingredients and Willamette Valley
Given the investment horizon of 90 days MGP Ingredients is expected to under-perform the Willamette Valley. In addition to that, MGP Ingredients is 1.29 times more volatile than Willamette Valley Vineyards. It trades about -0.22 of its total potential returns per unit of risk. Willamette Valley Vineyards is currently generating about 0.02 per unit of volatility. If you would invest 359.00 in Willamette Valley Vineyards on September 12, 2024 and sell it today you would earn a total of 6.00 from holding Willamette Valley Vineyards or generate 1.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MGP Ingredients vs. Willamette Valley Vineyards
Performance |
Timeline |
MGP Ingredients |
Willamette Valley |
MGP Ingredients and Willamette Valley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MGP Ingredients and Willamette Valley
The main advantage of trading using opposite MGP Ingredients and Willamette Valley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MGP Ingredients position performs unexpectedly, Willamette Valley 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 Willamette Valley will offset losses from the drop in Willamette Valley's long position.MGP Ingredients vs. Brown Forman | MGP Ingredients vs. Diageo PLC ADR | MGP Ingredients vs. Brown Forman | MGP Ingredients vs. Constellation Brands Class |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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