Correlation Between Jewett Cameron and Nature Wood
Can any of the company-specific risk be diversified away by investing in both Jewett Cameron and Nature Wood 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 Jewett Cameron and Nature Wood into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jewett Cameron Trading and Nature Wood Group, you can compare the effects of market volatilities on Jewett Cameron and Nature Wood 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 Jewett Cameron with a short position of Nature Wood. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jewett Cameron and Nature Wood.
Diversification Opportunities for Jewett Cameron and Nature Wood
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Jewett and Nature is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Jewett Cameron Trading and Nature Wood Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nature Wood Group and Jewett Cameron 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 Jewett Cameron Trading are associated (or correlated) with Nature Wood. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nature Wood Group has no effect on the direction of Jewett Cameron i.e., Jewett Cameron and Nature Wood go up and down completely randomly.
Pair Corralation between Jewett Cameron and Nature Wood
Given the investment horizon of 90 days Jewett Cameron Trading is expected to generate 0.6 times more return on investment than Nature Wood. However, Jewett Cameron Trading is 1.67 times less risky than Nature Wood. It trades about -0.02 of its potential returns per unit of risk. Nature Wood Group is currently generating about -0.02 per unit of risk. If you would invest 446.00 in Jewett Cameron Trading on August 31, 2024 and sell it today you would lose (18.00) from holding Jewett Cameron Trading or give up 4.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jewett Cameron Trading vs. Nature Wood Group
Performance |
Timeline |
Jewett Cameron Trading |
Nature Wood Group |
Jewett Cameron and Nature Wood Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jewett Cameron and Nature Wood
The main advantage of trading using opposite Jewett Cameron and Nature Wood positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jewett Cameron position performs unexpectedly, Nature Wood 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 Nature Wood will offset losses from the drop in Nature Wood's long position.Jewett Cameron vs. RBC Bearings Incorporated | Jewett Cameron vs. Inflection Point Acquisition | Jewett Cameron vs. Griffon | Jewett Cameron vs. Edgewell Personal Care |
Nature Wood vs. NETGEAR | Nature Wood vs. Chester Mining | Nature Wood vs. Highway Holdings Limited | Nature Wood vs. Inflection Point Acquisition |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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