Correlation Between Citic Telecom and Hormel Foods
Can any of the company-specific risk be diversified away by investing in both Citic Telecom and Hormel Foods 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 Citic Telecom and Hormel Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citic Telecom International and Hormel Foods, you can compare the effects of market volatilities on Citic Telecom and Hormel Foods 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 Citic Telecom with a short position of Hormel Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citic Telecom and Hormel Foods.
Diversification Opportunities for Citic Telecom and Hormel Foods
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Citic and Hormel is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Citic Telecom International and Hormel Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hormel Foods and Citic Telecom 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 Citic Telecom International are associated (or correlated) with Hormel Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hormel Foods has no effect on the direction of Citic Telecom i.e., Citic Telecom and Hormel Foods go up and down completely randomly.
Pair Corralation between Citic Telecom and Hormel Foods
Assuming the 90 days trading horizon Citic Telecom International is expected to generate 5.0 times more return on investment than Hormel Foods. However, Citic Telecom is 5.0 times more volatile than Hormel Foods. It trades about 0.07 of its potential returns per unit of risk. Hormel Foods is currently generating about -0.03 per unit of risk. If you would invest 3.91 in Citic Telecom International on September 12, 2024 and sell it today you would earn a total of 23.09 from holding Citic Telecom International or generate 590.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Citic Telecom International vs. Hormel Foods
Performance |
| Timeline |
| Citic Telecom Intern |
| Hormel Foods |
Citic Telecom and Hormel Foods Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Citic Telecom and Hormel Foods
The main advantage of trading using opposite Citic Telecom and Hormel Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citic Telecom position performs unexpectedly, Hormel Foods 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 Hormel Foods will offset losses from the drop in Hormel Foods' long position.| Citic Telecom vs. Apple Inc | Citic Telecom vs. Apple Inc | Citic Telecom vs. Apple Inc | Citic Telecom vs. Apple Inc |
| Hormel Foods vs. Shenandoah Telecommunications | Hormel Foods vs. Iridium Communications | Hormel Foods vs. Ribbon Communications | Hormel Foods vs. Citic Telecom International |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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