Correlation Between Microfriend and Nice Information
Can any of the company-specific risk be diversified away by investing in both Microfriend and Nice Information 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 Microfriend and Nice Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microfriend and Nice Information Telecommunication, you can compare the effects of market volatilities on Microfriend and Nice Information 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 Microfriend with a short position of Nice Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microfriend and Nice Information.
Diversification Opportunities for Microfriend and Nice Information
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Microfriend and Nice is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Microfriend and Nice Information Telecommunica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nice Information Tel and Microfriend 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 Microfriend are associated (or correlated) with Nice Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nice Information Tel has no effect on the direction of Microfriend i.e., Microfriend and Nice Information go up and down completely randomly.
Pair Corralation between Microfriend and Nice Information
Assuming the 90 days trading horizon Microfriend is expected to under-perform the Nice Information. In addition to that, Microfriend is 4.81 times more volatile than Nice Information Telecommunication. It trades about -0.1 of its total potential returns per unit of risk. Nice Information Telecommunication is currently generating about -0.09 per unit of volatility. If you would invest 1,896,000 in Nice Information Telecommunication on October 5, 2024 and sell it today you would lose (111,000) from holding Nice Information Telecommunication or give up 5.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Microfriend vs. Nice Information Telecommunica
Performance |
Timeline |
Microfriend |
Nice Information Tel |
Microfriend and Nice Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microfriend and Nice Information
The main advantage of trading using opposite Microfriend and Nice Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microfriend position performs unexpectedly, Nice Information 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 Nice Information will offset losses from the drop in Nice Information's long position.Microfriend vs. LG Household Healthcare | Microfriend vs. MetaLabs Co | Microfriend vs. Kukil Metal Co | Microfriend vs. DONGKUK TED METAL |
Nice Information vs. LG Display | Nice Information vs. Hyundai Motor | Nice Information vs. Hyundai Motor Co | Nice Information vs. Hyundai Motor Co |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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