Correlation Between Virco Manufacturing and Getty Realty
Can any of the company-specific risk be diversified away by investing in both Virco Manufacturing and Getty Realty 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 Virco Manufacturing and Getty Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Virco Manufacturing and Getty Realty, you can compare the effects of market volatilities on Virco Manufacturing and Getty Realty 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 Virco Manufacturing with a short position of Getty Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Virco Manufacturing and Getty Realty.
Diversification Opportunities for Virco Manufacturing and Getty Realty
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Virco and Getty is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Virco Manufacturing and Getty Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Realty and Virco Manufacturing 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 Virco Manufacturing are associated (or correlated) with Getty Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Realty has no effect on the direction of Virco Manufacturing i.e., Virco Manufacturing and Getty Realty go up and down completely randomly.
Pair Corralation between Virco Manufacturing and Getty Realty
Given the investment horizon of 90 days Virco Manufacturing is expected to generate 3.63 times more return on investment than Getty Realty. However, Virco Manufacturing is 3.63 times more volatile than Getty Realty. It trades about 0.11 of its potential returns per unit of risk. Getty Realty is currently generating about 0.01 per unit of risk. If you would invest 381.00 in Virco Manufacturing on August 31, 2024 and sell it today you would earn a total of 1,261 from holding Virco Manufacturing or generate 330.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Virco Manufacturing vs. Getty Realty
Performance |
Timeline |
Virco Manufacturing |
Getty Realty |
Virco Manufacturing and Getty Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Virco Manufacturing and Getty Realty
The main advantage of trading using opposite Virco Manufacturing and Getty Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Virco Manufacturing position performs unexpectedly, Getty Realty 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 Getty Realty will offset losses from the drop in Getty Realty's long position.Virco Manufacturing vs. Bassett Furniture Industries | Virco Manufacturing vs. Hooker Furniture | Virco Manufacturing vs. Natuzzi SpA | Virco Manufacturing vs. Flexsteel Industries |
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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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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