Correlation Between Hua Hong and REVO INSURANCE
Can any of the company-specific risk be diversified away by investing in both Hua Hong and REVO INSURANCE 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 Hua Hong and REVO INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hua Hong Semiconductor and REVO INSURANCE SPA, you can compare the effects of market volatilities on Hua Hong and REVO INSURANCE 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 Hua Hong with a short position of REVO INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hua Hong and REVO INSURANCE.
Diversification Opportunities for Hua Hong and REVO INSURANCE
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hua and REVO is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Hua Hong Semiconductor and REVO INSURANCE SPA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on REVO INSURANCE SPA and Hua Hong 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 Hua Hong Semiconductor are associated (or correlated) with REVO INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of REVO INSURANCE SPA has no effect on the direction of Hua Hong i.e., Hua Hong and REVO INSURANCE go up and down completely randomly.
Pair Corralation between Hua Hong and REVO INSURANCE
Assuming the 90 days horizon Hua Hong Semiconductor is expected to generate 1.67 times more return on investment than REVO INSURANCE. However, Hua Hong is 1.67 times more volatile than REVO INSURANCE SPA. It trades about 0.22 of its potential returns per unit of risk. REVO INSURANCE SPA is currently generating about 0.04 per unit of risk. If you would invest 254.00 in Hua Hong Semiconductor on December 19, 2024 and sell it today you would earn a total of 194.00 from holding Hua Hong Semiconductor or generate 76.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hua Hong Semiconductor vs. REVO INSURANCE SPA
Performance |
Timeline |
Hua Hong Semiconductor |
REVO INSURANCE SPA |
Hua Hong and REVO INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hua Hong and REVO INSURANCE
The main advantage of trading using opposite Hua Hong and REVO INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hua Hong position performs unexpectedly, REVO INSURANCE 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 REVO INSURANCE will offset losses from the drop in REVO INSURANCE's long position.Hua Hong vs. MAANSHAN IRON H | Hua Hong vs. CALTAGIRONE EDITORE | Hua Hong vs. COSTCO WHOLESALE CDR | Hua Hong vs. Angang Steel |
REVO INSURANCE vs. Aluminum of | REVO INSURANCE vs. GREENX METALS LTD | REVO INSURANCE vs. Tokyu Construction Co | REVO INSURANCE vs. FARM 51 GROUP |
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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