Correlation Between Bt Brands and Bassett Furniture
Can any of the company-specific risk be diversified away by investing in both Bt Brands and Bassett 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 Bt Brands and Bassett Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bt Brands and Bassett Furniture Industries, you can compare the effects of market volatilities on Bt Brands and Bassett 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 Bt Brands with a short position of Bassett Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bt Brands and Bassett Furniture.
Diversification Opportunities for Bt Brands and Bassett Furniture
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between BTBD and Bassett is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Bt Brands and Bassett Furniture Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bassett Furniture and Bt Brands 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 Bt Brands are associated (or correlated) with Bassett Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bassett Furniture has no effect on the direction of Bt Brands i.e., Bt Brands and Bassett Furniture go up and down completely randomly.
Pair Corralation between Bt Brands and Bassett Furniture
Given the investment horizon of 90 days Bt Brands is expected to under-perform the Bassett Furniture. In addition to that, Bt Brands is 2.38 times more volatile than Bassett Furniture Industries. It trades about -0.02 of its total potential returns per unit of risk. Bassett Furniture Industries is currently generating about 0.21 per unit of volatility. If you would invest 1,392 in Bassett Furniture Industries on August 30, 2024 and sell it today you would earn a total of 116.00 from holding Bassett Furniture Industries or generate 8.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
Bt Brands vs. Bassett Furniture Industries
Performance |
| Timeline |
| Bt Brands |
| Bassett Furniture |
Bt Brands and Bassett Furniture Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bt Brands and Bassett Furniture
The main advantage of trading using opposite Bt Brands and Bassett Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bt Brands position performs unexpectedly, Bassett 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 Bassett Furniture will offset losses from the drop in Bassett Furniture's long position.| Bt Brands vs. Chipotle Mexican Grill | Bt Brands vs. Yum Brands | Bt Brands vs. The Wendys Co | Bt Brands vs. McDonalds |
| Bassett Furniture vs. Hooker Furniture | Bassett Furniture vs. Flexsteel Industries | Bassett Furniture vs. Haverty Furniture Companies | Bassett Furniture vs. La Z Boy Incorporated |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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