Correlation Between WPP PLC and CyberAgent
Can any of the company-specific risk be diversified away by investing in both WPP PLC 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 WPP PLC and CyberAgent into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WPP PLC and CyberAgent, you can compare the effects of market volatilities on WPP PLC 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 WPP PLC with a short position of CyberAgent. Check out your portfolio center. Please also check ongoing floating volatility patterns of WPP PLC and CyberAgent.
Diversification Opportunities for WPP PLC and CyberAgent
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between WPP and CyberAgent is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding WPP PLC and CyberAgent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CyberAgent and WPP PLC 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 WPP PLC 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 WPP PLC i.e., WPP PLC and CyberAgent go up and down completely randomly.
Pair Corralation between WPP PLC and CyberAgent
Assuming the 90 days horizon WPP PLC is expected to generate 0.87 times more return on investment than CyberAgent. However, WPP PLC is 1.15 times less risky than CyberAgent. It trades about 0.11 of its potential returns per unit of risk. CyberAgent is currently generating about 0.05 per unit of risk. If you would invest 900.00 in WPP PLC on September 24, 2024 and sell it today you would earn a total of 100.00 from holding WPP PLC or generate 11.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
WPP PLC vs. CyberAgent
Performance |
Timeline |
WPP PLC |
CyberAgent |
WPP PLC and CyberAgent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WPP PLC and CyberAgent
The main advantage of trading using opposite WPP PLC and CyberAgent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WPP PLC 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.WPP PLC vs. Publicis Groupe SA | WPP PLC vs. Omnicom Group | WPP PLC vs. WPP PLC ADR | WPP PLC vs. JCDecaux SA |
CyberAgent vs. Publicis Groupe SA | CyberAgent vs. Omnicom Group | CyberAgent vs. WPP PLC | CyberAgent vs. WPP PLC ADR |
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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Other Complementary Tools
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
CEOs Directory Screen CEOs from public companies around the world | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |