Correlation Between Dentsu and CyberAgent
Can any of the company-specific risk be diversified away by investing in both Dentsu 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 Dentsu and CyberAgent into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dentsu Group and CyberAgent, you can compare the effects of market volatilities on Dentsu 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 Dentsu with a short position of CyberAgent. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dentsu and CyberAgent.
Diversification Opportunities for Dentsu and CyberAgent
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dentsu and CyberAgent is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Dentsu Group and CyberAgent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CyberAgent and Dentsu 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 Dentsu Group 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 Dentsu i.e., Dentsu and CyberAgent go up and down completely randomly.
Pair Corralation between Dentsu and CyberAgent
Assuming the 90 days horizon Dentsu Group is expected to under-perform the CyberAgent. In addition to that, Dentsu is 1.39 times more volatile than CyberAgent. It trades about -0.08 of its total potential returns per unit of risk. CyberAgent is currently generating about 0.05 per unit of volatility. If you would invest 635.00 in CyberAgent on September 25, 2024 and sell it today you would earn a total of 35.00 from holding CyberAgent or generate 5.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dentsu Group vs. CyberAgent
Performance |
Timeline |
Dentsu Group |
CyberAgent |
Dentsu and CyberAgent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dentsu and CyberAgent
The main advantage of trading using opposite Dentsu and CyberAgent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dentsu 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.The idea behind Dentsu Group and CyberAgent pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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