Correlation Between Extreme Networks and Acm Research
Can any of the company-specific risk be diversified away by investing in both Extreme Networks and Acm Research 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 Extreme Networks and Acm Research into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Extreme Networks and Acm Research, you can compare the effects of market volatilities on Extreme Networks and Acm Research 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 Extreme Networks with a short position of Acm Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of Extreme Networks and Acm Research.
Diversification Opportunities for Extreme Networks and Acm Research
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Extreme and Acm is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Extreme Networks and Acm Research in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Acm Research and Extreme Networks 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 Extreme Networks are associated (or correlated) with Acm Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Acm Research has no effect on the direction of Extreme Networks i.e., Extreme Networks and Acm Research go up and down completely randomly.
Pair Corralation between Extreme Networks and Acm Research
Given the investment horizon of 90 days Extreme Networks is expected to generate 0.5 times more return on investment than Acm Research. However, Extreme Networks is 2.0 times less risky than Acm Research. It trades about 0.16 of its potential returns per unit of risk. Acm Research is currently generating about -0.17 per unit of risk. If you would invest 1,658 in Extreme Networks on September 13, 2024 and sell it today you would earn a total of 133.00 from holding Extreme Networks or generate 8.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Extreme Networks vs. Acm Research
Performance |
Timeline |
Extreme Networks |
Acm Research |
Extreme Networks and Acm Research Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Extreme Networks and Acm Research
The main advantage of trading using opposite Extreme Networks and Acm Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Extreme Networks position performs unexpectedly, Acm Research 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 Acm Research will offset losses from the drop in Acm Research's long position.Extreme Networks vs. Knowles Cor | Extreme Networks vs. KVH Industries | Extreme Networks vs. Comtech Telecommunications Corp | Extreme Networks vs. EchoStar |
Acm Research vs. Axcelis Technologies | Acm Research vs. inTest | Acm Research vs. Lam Research Corp | Acm Research vs. Photronics |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume |