Correlation Between Hooker Furniture and Cleantech Power
Can any of the company-specific risk be diversified away by investing in both Hooker Furniture and Cleantech Power 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 Cleantech Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hooker Furniture and Cleantech Power Corp, you can compare the effects of market volatilities on Hooker Furniture and Cleantech Power 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 Cleantech Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hooker Furniture and Cleantech Power.
Diversification Opportunities for Hooker Furniture and Cleantech Power
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Hooker and Cleantech is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Hooker Furniture and Cleantech Power Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cleantech Power Corp 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 Cleantech Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cleantech Power Corp has no effect on the direction of Hooker Furniture i.e., Hooker Furniture and Cleantech Power go up and down completely randomly.
Pair Corralation between Hooker Furniture and Cleantech Power
Given the investment horizon of 90 days Hooker Furniture is expected to under-perform the Cleantech Power. But the stock apears to be less risky and, when comparing its historical volatility, Hooker Furniture is 30.82 times less risky than Cleantech Power. The stock trades about -0.01 of its potential returns per unit of risk. The Cleantech Power Corp is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 5.64 in Cleantech Power Corp on October 3, 2024 and sell it today you would lose (5.05) from holding Cleantech Power Corp or give up 89.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 94.55% |
Values | Daily Returns |
Hooker Furniture vs. Cleantech Power Corp
Performance |
Timeline |
Hooker Furniture |
Cleantech Power Corp |
Hooker Furniture and Cleantech Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hooker Furniture and Cleantech Power
The main advantage of trading using opposite Hooker Furniture and Cleantech Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hooker Furniture position performs unexpectedly, Cleantech Power 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 Cleantech Power will offset losses from the drop in Cleantech Power'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 |
Cleantech Power vs. Summit Materials | Cleantech Power vs. Harmony Gold Mining | Cleantech Power vs. The Coca Cola | Cleantech Power vs. Getty Copper |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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