Correlation Between Bassett Furniture and Codexis
Can any of the company-specific risk be diversified away by investing in both Bassett Furniture and Codexis 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 Codexis 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 Codexis, you can compare the effects of market volatilities on Bassett Furniture and Codexis 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 Codexis. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bassett Furniture and Codexis.
Diversification Opportunities for Bassett Furniture and Codexis
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bassett and Codexis is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Bassett Furniture Industries and Codexis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Codexis 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 Codexis. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Codexis has no effect on the direction of Bassett Furniture i.e., Bassett Furniture and Codexis go up and down completely randomly.
Pair Corralation between Bassett Furniture and Codexis
Given the investment horizon of 90 days Bassett Furniture Industries is expected to under-perform the Codexis. But the stock apears to be less risky and, when comparing its historical volatility, Bassett Furniture Industries is 2.63 times less risky than Codexis. The stock trades about -0.11 of its potential returns per unit of risk. The Codexis is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 463.00 in Codexis on October 6, 2024 and sell it today you would earn a total of 80.00 from holding Codexis or generate 17.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bassett Furniture Industries vs. Codexis
Performance |
Timeline |
Bassett Furniture |
Codexis |
Bassett Furniture and Codexis Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bassett Furniture and Codexis
The main advantage of trading using opposite Bassett Furniture and Codexis positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bassett Furniture position performs unexpectedly, Codexis 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 Codexis will offset losses from the drop in Codexis' 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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