Correlation Between Patrick Industries and Bassett Furniture
Can any of the company-specific risk be diversified away by investing in both Patrick Industries 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 Patrick Industries and Bassett Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Patrick Industries and Bassett Furniture Industries, you can compare the effects of market volatilities on Patrick Industries 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 Patrick Industries with a short position of Bassett Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Patrick Industries and Bassett Furniture.
Diversification Opportunities for Patrick Industries and Bassett Furniture
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Patrick and Bassett is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Patrick Industries and Bassett Furniture Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bassett Furniture and Patrick Industries 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 Patrick Industries 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 Patrick Industries i.e., Patrick Industries and Bassett Furniture go up and down completely randomly.
Pair Corralation between Patrick Industries and Bassett Furniture
Given the investment horizon of 90 days Patrick Industries is expected to generate 1.31 times less return on investment than Bassett Furniture. In addition to that, Patrick Industries is 1.37 times more volatile than Bassett Furniture Industries. It trades about 0.05 of its total potential returns per unit of risk. Bassett Furniture Industries is currently generating about 0.1 per unit of volatility. If you would invest 1,375 in Bassett Furniture Industries on September 2, 2024 and sell it today you would earn a total of 148.00 from holding Bassett Furniture Industries or generate 10.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Patrick Industries vs. Bassett Furniture Industries
Performance |
Timeline |
Patrick Industries |
Bassett Furniture |
Patrick Industries and Bassett Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Patrick Industries and Bassett Furniture
The main advantage of trading using opposite Patrick Industries and Bassett Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Patrick Industries 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.Patrick Industries vs. Bassett Furniture Industries | Patrick Industries vs. Ethan Allen Interiors | Patrick Industries vs. Natuzzi SpA | Patrick Industries vs. Flexsteel Industries |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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