Correlation Between Knowles Cor and Extreme Networks
Can any of the company-specific risk be diversified away by investing in both Knowles Cor and Extreme Networks 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 Knowles Cor and Extreme Networks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Knowles Cor and Extreme Networks, you can compare the effects of market volatilities on Knowles Cor and Extreme Networks 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 Knowles Cor with a short position of Extreme Networks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Knowles Cor and Extreme Networks.
Diversification Opportunities for Knowles Cor and Extreme Networks
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Knowles and Extreme is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Knowles Cor and Extreme Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Extreme Networks and Knowles Cor 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 Knowles Cor are associated (or correlated) with Extreme Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Extreme Networks has no effect on the direction of Knowles Cor i.e., Knowles Cor and Extreme Networks go up and down completely randomly.
Pair Corralation between Knowles Cor and Extreme Networks
Allowing for the 90-day total investment horizon Knowles Cor is expected to under-perform the Extreme Networks. But the stock apears to be less risky and, when comparing its historical volatility, Knowles Cor is 1.39 times less risky than Extreme Networks. The stock trades about -0.28 of its potential returns per unit of risk. The Extreme Networks is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest 1,680 in Extreme Networks on December 29, 2024 and sell it today you would lose (212.00) from holding Extreme Networks or give up 12.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Knowles Cor vs. Extreme Networks
Performance |
Timeline |
Knowles Cor |
Extreme Networks |
Knowles Cor and Extreme Networks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Knowles Cor and Extreme Networks
The main advantage of trading using opposite Knowles Cor and Extreme Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Knowles Cor position performs unexpectedly, Extreme Networks 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 Extreme Networks will offset losses from the drop in Extreme Networks' long position.Knowles Cor vs. Comtech Telecommunications Corp | Knowles Cor vs. Ituran Location and | Knowles Cor vs. Aviat Networks | Knowles Cor vs. Extreme Networks |
Extreme Networks vs. ADTRAN Inc | Extreme Networks vs. KVH Industries | Extreme Networks vs. Telesat Corp | Extreme Networks vs. Digi International |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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