Correlation Between NewFlex Technology and Dongwon System
Can any of the company-specific risk be diversified away by investing in both NewFlex Technology and Dongwon System 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 Dongwon System 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 Dongwon System, you can compare the effects of market volatilities on NewFlex Technology and Dongwon System 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 Dongwon System. Check out your portfolio center. Please also check ongoing floating volatility patterns of NewFlex Technology and Dongwon System.
Diversification Opportunities for NewFlex Technology and Dongwon System
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NewFlex and Dongwon is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding NewFlex Technology Co and Dongwon System in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongwon System 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 Dongwon System. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongwon System has no effect on the direction of NewFlex Technology i.e., NewFlex Technology and Dongwon System go up and down completely randomly.
Pair Corralation between NewFlex Technology and Dongwon System
Assuming the 90 days trading horizon NewFlex Technology Co is expected to under-perform the Dongwon System. In addition to that, NewFlex Technology is 1.21 times more volatile than Dongwon System. It trades about -0.03 of its total potential returns per unit of risk. Dongwon System is currently generating about -0.03 per unit of volatility. If you would invest 4,940,000 in Dongwon System on September 23, 2024 and sell it today you would lose (930,000) from holding Dongwon System or give up 18.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NewFlex Technology Co vs. Dongwon System
Performance |
Timeline |
NewFlex Technology |
Dongwon System |
NewFlex Technology and Dongwon System Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NewFlex Technology and Dongwon System
The main advantage of trading using opposite NewFlex Technology and Dongwon System positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NewFlex Technology position performs unexpectedly, Dongwon System 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 Dongwon System will offset losses from the drop in Dongwon System's long position.NewFlex Technology vs. Organic Special Pet | NewFlex Technology vs. KEPCO Engineering Construction | NewFlex Technology vs. Sung Bo Chemicals | NewFlex Technology vs. Clean Science co |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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