Correlation Between AAC TECHNOLOGHLDGADR and Media
Can any of the company-specific risk be diversified away by investing in both AAC TECHNOLOGHLDGADR and Media 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 AAC TECHNOLOGHLDGADR and Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AAC TECHNOLOGHLDGADR and Media and Games, you can compare the effects of market volatilities on AAC TECHNOLOGHLDGADR and Media 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 AAC TECHNOLOGHLDGADR with a short position of Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of AAC TECHNOLOGHLDGADR and Media.
Diversification Opportunities for AAC TECHNOLOGHLDGADR and Media
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between AAC and Media is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding AAC TECHNOLOGHLDGADR and Media and Games in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Media and Games and AAC TECHNOLOGHLDGADR 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 AAC TECHNOLOGHLDGADR are associated (or correlated) with Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Media and Games has no effect on the direction of AAC TECHNOLOGHLDGADR i.e., AAC TECHNOLOGHLDGADR and Media go up and down completely randomly.
Pair Corralation between AAC TECHNOLOGHLDGADR and Media
Assuming the 90 days horizon AAC TECHNOLOGHLDGADR is expected to generate 1.09 times more return on investment than Media. However, AAC TECHNOLOGHLDGADR is 1.09 times more volatile than Media and Games. It trades about 0.14 of its potential returns per unit of risk. Media and Games is currently generating about 0.05 per unit of risk. If you would invest 450.00 in AAC TECHNOLOGHLDGADR on December 20, 2024 and sell it today you would earn a total of 160.00 from holding AAC TECHNOLOGHLDGADR or generate 35.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
AAC TECHNOLOGHLDGADR vs. Media and Games
Performance |
Timeline |
AAC TECHNOLOGHLDGADR |
Media and Games |
AAC TECHNOLOGHLDGADR and Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AAC TECHNOLOGHLDGADR and Media
The main advantage of trading using opposite AAC TECHNOLOGHLDGADR and Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AAC TECHNOLOGHLDGADR position performs unexpectedly, Media 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 Media will offset losses from the drop in Media's long position.AAC TECHNOLOGHLDGADR vs. SmarTone Telecommunications Holdings | AAC TECHNOLOGHLDGADR vs. ALEFARM BREWING DK 05 | AAC TECHNOLOGHLDGADR vs. Nufarm Limited | AAC TECHNOLOGHLDGADR vs. Penta Ocean Construction Co |
Media vs. American Public Education | Media vs. Fukuyama Transporting Co | Media vs. Xinhua Winshare Publishing | Media vs. SOEDER SPORTFISKE AB |
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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