Correlation Between RBACN and Bassett Furniture
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By analyzing existing cross correlation between RBACN 775 15 MAR 31 and Bassett Furniture Industries, you can compare the effects of market volatilities on RBACN 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 RBACN with a short position of Bassett Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of RBACN and Bassett Furniture.
Diversification Opportunities for RBACN and Bassett Furniture
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between RBACN and Bassett is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding RBACN 775 15 MAR 31 and Bassett Furniture Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bassett Furniture and RBACN 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 RBACN 775 15 MAR 31 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 RBACN i.e., RBACN and Bassett Furniture go up and down completely randomly.
Pair Corralation between RBACN and Bassett Furniture
Assuming the 90 days trading horizon RBACN 775 15 MAR 31 is expected to generate 0.23 times more return on investment than Bassett Furniture. However, RBACN 775 15 MAR 31 is 4.35 times less risky than Bassett Furniture. It trades about 0.02 of its potential returns per unit of risk. Bassett Furniture Industries is currently generating about -0.01 per unit of risk. If you would invest 10,150 in RBACN 775 15 MAR 31 on October 15, 2024 and sell it today you would earn a total of 313.00 from holding RBACN 775 15 MAR 31 or generate 3.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 89.09% |
Values | Daily Returns |
RBACN 775 15 MAR 31 vs. Bassett Furniture Industries
Performance |
Timeline |
RBACN 775 15 |
Bassett Furniture |
RBACN and Bassett Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RBACN and Bassett Furniture
The main advantage of trading using opposite RBACN and Bassett Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RBACN 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.The idea behind RBACN 775 15 MAR 31 and Bassett Furniture Industries pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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