Correlation Between NetEase and Mattel
Can any of the company-specific risk be diversified away by investing in both NetEase and Mattel 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 NetEase and Mattel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NetEase and Mattel Inc, you can compare the effects of market volatilities on NetEase and Mattel 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 NetEase with a short position of Mattel. Check out your portfolio center. Please also check ongoing floating volatility patterns of NetEase and Mattel.
Diversification Opportunities for NetEase and Mattel
Good diversification
The 3 months correlation between NetEase and Mattel is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding NetEase and Mattel Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mattel Inc and NetEase 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 NetEase are associated (or correlated) with Mattel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mattel Inc has no effect on the direction of NetEase i.e., NetEase and Mattel go up and down completely randomly.
Pair Corralation between NetEase and Mattel
Given the investment horizon of 90 days NetEase is expected to generate 0.6 times more return on investment than Mattel. However, NetEase is 1.67 times less risky than Mattel. It trades about 0.1 of its potential returns per unit of risk. Mattel Inc is currently generating about -0.04 per unit of risk. If you would invest 11,845 in NetEase on May 18, 2025 and sell it today you would earn a total of 1,077 from holding NetEase or generate 9.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NetEase vs. Mattel Inc
Performance |
Timeline |
NetEase |
Mattel Inc |
NetEase and Mattel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NetEase and Mattel
The main advantage of trading using opposite NetEase and Mattel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NetEase position performs unexpectedly, Mattel 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 Mattel will offset losses from the drop in Mattel's long position.NetEase vs. Bilibili | NetEase vs. Electronic Arts | NetEase vs. Take Two Interactive Software | NetEase vs. SohuCom |
Mattel vs. Hasbro Inc | Mattel vs. United Parks Resorts | Mattel vs. JAKKS Pacific | Mattel vs. Planet Fitness |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Other Complementary Tools
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |