Correlation Between Lenovo Group and CyberAgent
Can any of the company-specific risk be diversified away by investing in both Lenovo Group and CyberAgent 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 Lenovo Group and CyberAgent into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lenovo Group Limited and CyberAgent, you can compare the effects of market volatilities on Lenovo Group and CyberAgent 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 Lenovo Group with a short position of CyberAgent. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lenovo Group and CyberAgent.
Diversification Opportunities for Lenovo Group and CyberAgent
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lenovo and CyberAgent is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Lenovo Group Limited and CyberAgent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CyberAgent and Lenovo Group 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 Lenovo Group Limited are associated (or correlated) with CyberAgent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CyberAgent has no effect on the direction of Lenovo Group i.e., Lenovo Group and CyberAgent go up and down completely randomly.
Pair Corralation between Lenovo Group and CyberAgent
Assuming the 90 days trading horizon Lenovo Group Limited is expected to under-perform the CyberAgent. In addition to that, Lenovo Group is 1.45 times more volatile than CyberAgent. It trades about -0.05 of its total potential returns per unit of risk. CyberAgent is currently generating about 0.01 per unit of volatility. If you would invest 650.00 in CyberAgent on October 13, 2024 and sell it today you would earn a total of 0.00 from holding CyberAgent or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Lenovo Group Limited vs. CyberAgent
Performance |
Timeline |
Lenovo Group Limited |
CyberAgent |
Lenovo Group and CyberAgent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lenovo Group and CyberAgent
The main advantage of trading using opposite Lenovo Group and CyberAgent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lenovo Group position performs unexpectedly, CyberAgent 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 CyberAgent will offset losses from the drop in CyberAgent's long position.Lenovo Group vs. YATRA ONLINE DL 0001 | Lenovo Group vs. Sixt Leasing SE | Lenovo Group vs. Lendlease Group | Lenovo Group vs. Salesforce |
CyberAgent vs. TIANDE CHEMICAL | CyberAgent vs. Richardson Electronics | CyberAgent vs. KIMBALL ELECTRONICS | CyberAgent vs. STORE ELECTRONIC |
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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Other Complementary Tools
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |