Correlation Between Artisan Partners and Hooker Furniture
Can any of the company-specific risk be diversified away by investing in both Artisan Partners and Hooker Furniture 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 Artisan Partners and Hooker Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Artisan Partners Asset and Hooker Furniture, you can compare the effects of market volatilities on Artisan Partners and Hooker Furniture 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 Artisan Partners with a short position of Hooker Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Artisan Partners and Hooker Furniture.
Diversification Opportunities for Artisan Partners and Hooker Furniture
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Artisan and Hooker is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Artisan Partners Asset and Hooker Furniture in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hooker Furniture and Artisan Partners 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 Artisan Partners Asset are associated (or correlated) with Hooker Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hooker Furniture has no effect on the direction of Artisan Partners i.e., Artisan Partners and Hooker Furniture go up and down completely randomly.
Pair Corralation between Artisan Partners and Hooker Furniture
Given the investment horizon of 90 days Artisan Partners Asset is expected to generate 0.6 times more return on investment than Hooker Furniture. However, Artisan Partners Asset is 1.67 times less risky than Hooker Furniture. It trades about 0.03 of its potential returns per unit of risk. Hooker Furniture is currently generating about -0.08 per unit of risk. If you would invest 4,176 in Artisan Partners Asset on October 7, 2024 and sell it today you would earn a total of 101.00 from holding Artisan Partners Asset or generate 2.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Artisan Partners Asset vs. Hooker Furniture
Performance |
Timeline |
Artisan Partners Asset |
Hooker Furniture |
Artisan Partners and Hooker Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Artisan Partners and Hooker Furniture
The main advantage of trading using opposite Artisan Partners and Hooker Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Artisan Partners position performs unexpectedly, Hooker Furniture 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 Hooker Furniture will offset losses from the drop in Hooker Furniture's long position.Artisan Partners vs. Federated Premier Municipal | Artisan Partners vs. Blackrock Muniyield | Artisan Partners vs. Diamond Hill Investment | Artisan Partners vs. NXG NextGen Infrastructure |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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