Correlation Between Kaufman Et and Mercantile Investment
Can any of the company-specific risk be diversified away by investing in both Kaufman Et and Mercantile Investment 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 Kaufman Et and Mercantile Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kaufman Et Broad and The Mercantile Investment, you can compare the effects of market volatilities on Kaufman Et and Mercantile Investment 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 Kaufman Et with a short position of Mercantile Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kaufman Et and Mercantile Investment.
Diversification Opportunities for Kaufman Et and Mercantile Investment
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kaufman and Mercantile is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Kaufman Et Broad and The Mercantile Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on The Mercantile Investment and Kaufman Et 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 Kaufman Et Broad are associated (or correlated) with Mercantile Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of The Mercantile Investment has no effect on the direction of Kaufman Et i.e., Kaufman Et and Mercantile Investment go up and down completely randomly.
Pair Corralation between Kaufman Et and Mercantile Investment
Assuming the 90 days trading horizon Kaufman Et Broad is expected to generate 1.26 times more return on investment than Mercantile Investment. However, Kaufman Et is 1.26 times more volatile than The Mercantile Investment. It trades about 0.05 of its potential returns per unit of risk. The Mercantile Investment is currently generating about 0.01 per unit of risk. If you would invest 3,200 in Kaufman Et Broad on December 26, 2024 and sell it today you would earn a total of 133.00 from holding Kaufman Et Broad or generate 4.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kaufman Et Broad vs. The Mercantile Investment
Performance |
Timeline |
Kaufman Et Broad |
The Mercantile Investment |
Kaufman Et and Mercantile Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kaufman Et and Mercantile Investment
The main advantage of trading using opposite Kaufman Et and Mercantile Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kaufman Et position performs unexpectedly, Mercantile Investment 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 Mercantile Investment will offset losses from the drop in Mercantile Investment's long position.Kaufman Et vs. The Mercantile Investment | Kaufman Et vs. Teradata Corp | Kaufman Et vs. FC Investment Trust | Kaufman Et vs. New Residential Investment |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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