Correlation Between Bassett Furniture and Forsys Metals
Can any of the company-specific risk be diversified away by investing in both Bassett Furniture and Forsys Metals 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 Bassett Furniture and Forsys Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bassett Furniture Industries and Forsys Metals Corp, you can compare the effects of market volatilities on Bassett Furniture and Forsys Metals 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 Bassett Furniture with a short position of Forsys Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bassett Furniture and Forsys Metals.
Diversification Opportunities for Bassett Furniture and Forsys Metals
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bassett and Forsys is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Bassett Furniture Industries and Forsys Metals Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Forsys Metals Corp and Bassett 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 Bassett Furniture Industries are associated (or correlated) with Forsys Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Forsys Metals Corp has no effect on the direction of Bassett Furniture i.e., Bassett Furniture and Forsys Metals go up and down completely randomly.
Pair Corralation between Bassett Furniture and Forsys Metals
Given the investment horizon of 90 days Bassett Furniture Industries is expected to generate 0.33 times more return on investment than Forsys Metals. However, Bassett Furniture Industries is 3.03 times less risky than Forsys Metals. It trades about 0.05 of its potential returns per unit of risk. Forsys Metals Corp is currently generating about -0.09 per unit of risk. If you would invest 1,509 in Bassett Furniture Industries on December 3, 2024 and sell it today you would earn a total of 71.00 from holding Bassett Furniture Industries or generate 4.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Bassett Furniture Industries vs. Forsys Metals Corp
Performance |
Timeline |
Bassett Furniture |
Forsys Metals Corp |
Bassett Furniture and Forsys Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bassett Furniture and Forsys Metals
The main advantage of trading using opposite Bassett Furniture and Forsys Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bassett Furniture position performs unexpectedly, Forsys Metals 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 Forsys Metals will offset losses from the drop in Forsys Metals' long position.Bassett Furniture vs. Hooker Furniture | Bassett Furniture vs. Flexsteel Industries | Bassett Furniture vs. Haverty Furniture Companies | Bassett Furniture vs. La Z Boy Incorporated |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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