Correlation Between Converge Information and Now Corp
Can any of the company-specific risk be diversified away by investing in both Converge Information and Now Corp 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 Converge Information and Now Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Converge Information Communications and Now Corp, you can compare the effects of market volatilities on Converge Information and Now Corp 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 Converge Information with a short position of Now Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Converge Information and Now Corp.
Diversification Opportunities for Converge Information and Now Corp
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Converge and Now is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Converge Information Communica and Now Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Now Corp and Converge Information 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 Converge Information Communications are associated (or correlated) with Now Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Now Corp has no effect on the direction of Converge Information i.e., Converge Information and Now Corp go up and down completely randomly.
Pair Corralation between Converge Information and Now Corp
Assuming the 90 days trading horizon Converge Information Communications is expected to generate 0.59 times more return on investment than Now Corp. However, Converge Information Communications is 1.71 times less risky than Now Corp. It trades about 0.03 of its potential returns per unit of risk. Now Corp is currently generating about -0.01 per unit of risk. If you would invest 1,710 in Converge Information Communications on October 23, 2024 and sell it today you would earn a total of 44.00 from holding Converge Information Communications or generate 2.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.31% |
Values | Daily Returns |
Converge Information Communica vs. Now Corp
Performance |
Timeline |
Converge Information |
Now Corp |
Converge Information and Now Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Converge Information and Now Corp
The main advantage of trading using opposite Converge Information and Now Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Converge Information position performs unexpectedly, Now Corp 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 Now Corp will offset losses from the drop in Now Corp's long position.Converge Information vs. Pacificonline Systems | Converge Information vs. Security Bank Corp | Converge Information vs. Manila Mining Corp | Converge Information vs. Asia United Bank |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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