Correlation Between Extreme Networks and New Pacific
Can any of the company-specific risk be diversified away by investing in both Extreme Networks and New Pacific 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 New Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Extreme Networks and New Pacific Metals, you can compare the effects of market volatilities on Extreme Networks and New Pacific 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 New Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Extreme Networks and New Pacific.
Diversification Opportunities for Extreme Networks and New Pacific
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Extreme and New is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Extreme Networks and New Pacific Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Pacific Metals 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 New Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Pacific Metals has no effect on the direction of Extreme Networks i.e., Extreme Networks and New Pacific go up and down completely randomly.
Pair Corralation between Extreme Networks and New Pacific
Given the investment horizon of 90 days Extreme Networks is expected to under-perform the New Pacific. But the stock apears to be less risky and, when comparing its historical volatility, Extreme Networks is 1.73 times less risky than New Pacific. The stock trades about -0.05 of its potential returns per unit of risk. The New Pacific Metals is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 125.00 in New Pacific Metals on October 23, 2024 and sell it today you would lose (1.00) from holding New Pacific Metals or give up 0.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Extreme Networks vs. New Pacific Metals
Performance |
Timeline |
Extreme Networks |
New Pacific Metals |
Extreme Networks and New Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Extreme Networks and New Pacific
The main advantage of trading using opposite Extreme Networks and New Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Extreme Networks position performs unexpectedly, New Pacific 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 New Pacific will offset losses from the drop in New Pacific's long position.Extreme Networks vs. Knowles Cor | Extreme Networks vs. KVH Industries | Extreme Networks vs. Comtech Telecommunications Corp | Extreme Networks vs. EchoStar |
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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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
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