Correlation Between Hooker Furniture and Canlan Ice
Can any of the company-specific risk be diversified away by investing in both Hooker Furniture and Canlan Ice 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 Hooker Furniture and Canlan Ice into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hooker Furniture and Canlan Ice Sports, you can compare the effects of market volatilities on Hooker Furniture and Canlan Ice 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 Hooker Furniture with a short position of Canlan Ice. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hooker Furniture and Canlan Ice.
Diversification Opportunities for Hooker Furniture and Canlan Ice
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Hooker and Canlan is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Hooker Furniture and Canlan Ice Sports in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canlan Ice Sports and Hooker Furniture 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 Hooker Furniture are associated (or correlated) with Canlan Ice. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canlan Ice Sports has no effect on the direction of Hooker Furniture i.e., Hooker Furniture and Canlan Ice go up and down completely randomly.
Pair Corralation between Hooker Furniture and Canlan Ice
Given the investment horizon of 90 days Hooker Furniture is expected to generate 20.5 times more return on investment than Canlan Ice. However, Hooker Furniture is 20.5 times more volatile than Canlan Ice Sports. It trades about 0.04 of its potential returns per unit of risk. Canlan Ice Sports is currently generating about 0.18 per unit of risk. If you would invest 1,689 in Hooker Furniture on September 14, 2024 and sell it today you would earn a total of 93.00 from holding Hooker Furniture or generate 5.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hooker Furniture vs. Canlan Ice Sports
Performance |
Timeline |
Hooker Furniture |
Canlan Ice Sports |
Hooker Furniture and Canlan Ice Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hooker Furniture and Canlan Ice
The main advantage of trading using opposite Hooker Furniture and Canlan Ice positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hooker Furniture position performs unexpectedly, Canlan Ice 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 Canlan Ice will offset losses from the drop in Canlan Ice's long position.Hooker Furniture vs. Bassett Furniture Industries | Hooker Furniture vs. Natuzzi SpA | Hooker Furniture vs. Flexsteel Industries | Hooker Furniture vs. Hamilton Beach Brands |
Canlan Ice vs. Toro Co | Canlan Ice vs. Procter Gamble | Canlan Ice vs. Bank of New | Canlan Ice vs. Raytech Holding Limited |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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