Correlation Between Cembra Money and Hong Kong
Can any of the company-specific risk be diversified away by investing in both Cembra Money and Hong Kong 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 Cembra Money and Hong Kong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cembra Money Bank and Hong Kong Land, you can compare the effects of market volatilities on Cembra Money and Hong Kong 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 Cembra Money with a short position of Hong Kong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cembra Money and Hong Kong.
Diversification Opportunities for Cembra Money and Hong Kong
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cembra and Hong is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Cembra Money Bank and Hong Kong Land in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hong Kong Land and Cembra Money 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 Cembra Money Bank are associated (or correlated) with Hong Kong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hong Kong Land has no effect on the direction of Cembra Money i.e., Cembra Money and Hong Kong go up and down completely randomly.
Pair Corralation between Cembra Money and Hong Kong
Assuming the 90 days trading horizon Cembra Money Bank is expected to generate 4.55 times more return on investment than Hong Kong. However, Cembra Money is 4.55 times more volatile than Hong Kong Land. It trades about 0.24 of its potential returns per unit of risk. Hong Kong Land is currently generating about 0.12 per unit of risk. If you would invest 8,195 in Cembra Money Bank on December 30, 2024 and sell it today you would earn a total of 1,790 from holding Cembra Money Bank or generate 21.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cembra Money Bank vs. Hong Kong Land
Performance |
Timeline |
Cembra Money Bank |
Hong Kong Land |
Cembra Money and Hong Kong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cembra Money and Hong Kong
The main advantage of trading using opposite Cembra Money and Hong Kong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cembra Money position performs unexpectedly, Hong Kong 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 Hong Kong will offset losses from the drop in Hong Kong's long position.Cembra Money vs. Hollywood Bowl Group | Cembra Money vs. Ubisoft Entertainment | Cembra Money vs. Prosiebensat 1 Media | Cembra Money vs. Charter Communications Cl |
Hong Kong vs. AMG Advanced Metallurgical | Hong Kong vs. International Consolidated Airlines | Hong Kong vs. Solstad Offshore ASA | Hong Kong vs. Check Point Software |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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