Correlation Between Hooker Furniture and CBOE Volatility
Can any of the company-specific risk be diversified away by investing in both Hooker Furniture and CBOE Volatility 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 Hooker Furniture and CBOE Volatility into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hooker Furniture and CBOE Volatility Index, you can compare the effects of market volatilities on Hooker Furniture and CBOE Volatility 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 Hooker Furniture with a short position of CBOE Volatility. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hooker Furniture and CBOE Volatility.
Diversification Opportunities for Hooker Furniture and CBOE Volatility
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hooker and CBOE is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Hooker Furniture and CBOE Volatility Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CBOE Volatility Index and Hooker 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 Hooker Furniture are associated (or correlated) with CBOE Volatility. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CBOE Volatility Index has no effect on the direction of Hooker Furniture i.e., Hooker Furniture and CBOE Volatility go up and down completely randomly.
Pair Corralation between Hooker Furniture and CBOE Volatility
Given the investment horizon of 90 days Hooker Furniture is expected to generate 2.45 times less return on investment than CBOE Volatility. But when comparing it to its historical volatility, Hooker Furniture is 2.49 times less risky than CBOE Volatility. It trades about 0.02 of its potential returns per unit of risk. CBOE Volatility Index is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 2,214 in CBOE Volatility Index on September 18, 2024 and sell it today you would lose (745.00) from holding CBOE Volatility Index or give up 33.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 96.49% |
Values | Daily Returns |
Hooker Furniture vs. CBOE Volatility Index
Performance |
Timeline |
Hooker Furniture and CBOE Volatility Volatility Contrast
Predicted Return Density |
Returns |
Hooker Furniture
Pair trading matchups for Hooker Furniture
CBOE Volatility Index
Pair trading matchups for CBOE Volatility
Pair Trading with Hooker Furniture and CBOE Volatility
The main advantage of trading using opposite Hooker Furniture and CBOE Volatility positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hooker Furniture position performs unexpectedly, CBOE Volatility 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 CBOE Volatility will offset losses from the drop in CBOE Volatility's long position.Hooker Furniture vs. Bassett Furniture Industries | Hooker Furniture vs. Natuzzi SpA | Hooker Furniture vs. Flexsteel Industries | Hooker Furniture vs. Hamilton Beach Brands |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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