Correlation Between NewFlex Technology and Samlip General
Can any of the company-specific risk be diversified away by investing in both NewFlex Technology and Samlip General 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 NewFlex Technology and Samlip General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NewFlex Technology Co and Samlip General Foods, you can compare the effects of market volatilities on NewFlex Technology and Samlip General 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 NewFlex Technology with a short position of Samlip General. Check out your portfolio center. Please also check ongoing floating volatility patterns of NewFlex Technology and Samlip General.
Diversification Opportunities for NewFlex Technology and Samlip General
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NewFlex and Samlip is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding NewFlex Technology Co and Samlip General Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samlip General Foods and NewFlex Technology 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 NewFlex Technology Co are associated (or correlated) with Samlip General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samlip General Foods has no effect on the direction of NewFlex Technology i.e., NewFlex Technology and Samlip General go up and down completely randomly.
Pair Corralation between NewFlex Technology and Samlip General
Assuming the 90 days trading horizon NewFlex Technology Co is expected to generate 3.23 times more return on investment than Samlip General. However, NewFlex Technology is 3.23 times more volatile than Samlip General Foods. It trades about 0.17 of its potential returns per unit of risk. Samlip General Foods is currently generating about 0.16 per unit of risk. If you would invest 479,000 in NewFlex Technology Co on September 25, 2024 and sell it today you would earn a total of 78,000 from holding NewFlex Technology Co or generate 16.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
NewFlex Technology Co vs. Samlip General Foods
Performance |
Timeline |
NewFlex Technology |
Samlip General Foods |
NewFlex Technology and Samlip General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NewFlex Technology and Samlip General
The main advantage of trading using opposite NewFlex Technology and Samlip General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NewFlex Technology position performs unexpectedly, Samlip General 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 Samlip General will offset losses from the drop in Samlip General's long position.NewFlex Technology vs. Seoyon Topmetal Co | NewFlex Technology vs. Duksan Hi Metal | NewFlex Technology vs. PJ Metal Co | NewFlex Technology vs. Youngsin Metal Industrial |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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