Correlation Between China Foods and FitLife Brands,
Can any of the company-specific risk be diversified away by investing in both China Foods and FitLife Brands, 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 China Foods and FitLife Brands, into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Foods Holdings and FitLife Brands, Common, you can compare the effects of market volatilities on China Foods and FitLife Brands, 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 China Foods with a short position of FitLife Brands,. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Foods and FitLife Brands,.
Diversification Opportunities for China Foods and FitLife Brands,
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between China and FitLife is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding China Foods Holdings and FitLife Brands, Common in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FitLife Brands, Common and China Foods 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 China Foods Holdings are associated (or correlated) with FitLife Brands,. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FitLife Brands, Common has no effect on the direction of China Foods i.e., China Foods and FitLife Brands, go up and down completely randomly.
Pair Corralation between China Foods and FitLife Brands,
If you would invest 3,125 in FitLife Brands, Common on August 28, 2024 and sell it today you would earn a total of 287.00 from holding FitLife Brands, Common or generate 9.18% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
China Foods Holdings vs. FitLife Brands, Common
Performance |
| Timeline |
| China Foods Holdings |
| FitLife Brands, Common |
China Foods and FitLife Brands, Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with China Foods and FitLife Brands,
The main advantage of trading using opposite China Foods and FitLife Brands, positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Foods position performs unexpectedly, FitLife Brands, 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 FitLife Brands, will offset losses from the drop in FitLife Brands,'s long position.The idea behind China Foods Holdings and FitLife Brands, Common pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| FitLife Brands, vs. Hims Hers Health | FitLife Brands, vs. Procter Gamble | FitLife Brands, vs. Kimberly Clark | FitLife Brands, vs. Colgate Palmolive |
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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