Correlation Between SFA Engineering and NICE Information
Can any of the company-specific risk be diversified away by investing in both SFA Engineering 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 SFA Engineering and NICE Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SFA Engineering and NICE Information Service, you can compare the effects of market volatilities on SFA Engineering 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 SFA Engineering with a short position of NICE Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of SFA Engineering and NICE Information.
Diversification Opportunities for SFA Engineering and NICE Information
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SFA and NICE is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding SFA Engineering and NICE Information Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NICE Information Service and SFA Engineering 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 SFA Engineering 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 Service has no effect on the direction of SFA Engineering i.e., SFA Engineering and NICE Information go up and down completely randomly.
Pair Corralation between SFA Engineering and NICE Information
Assuming the 90 days trading horizon SFA Engineering is expected to under-perform the NICE Information. In addition to that, SFA Engineering is 1.44 times more volatile than NICE Information Service. It trades about -0.13 of its total potential returns per unit of risk. NICE Information Service is currently generating about 0.19 per unit of volatility. If you would invest 1,004,000 in NICE Information Service on September 21, 2024 and sell it today you would earn a total of 246,000 from holding NICE Information Service or generate 24.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SFA Engineering vs. NICE Information Service
Performance |
Timeline |
SFA Engineering |
NICE Information Service |
SFA Engineering and NICE Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SFA Engineering and NICE Information
The main advantage of trading using opposite SFA Engineering and NICE Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SFA Engineering 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.SFA Engineering vs. Cube Entertainment | SFA Engineering vs. Dreamus Company | SFA Engineering vs. LG Energy Solution | SFA Engineering vs. Dongwon System |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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