Correlation Between NewFlex Technology and Koryo Credit
Can any of the company-specific risk be diversified away by investing in both NewFlex Technology and Koryo Credit 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 Koryo Credit 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 Koryo Credit Information, you can compare the effects of market volatilities on NewFlex Technology and Koryo Credit 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 Koryo Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of NewFlex Technology and Koryo Credit.
Diversification Opportunities for NewFlex Technology and Koryo Credit
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between NewFlex and Koryo is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding NewFlex Technology Co and Koryo Credit Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koryo Credit Information 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 Koryo Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koryo Credit Information has no effect on the direction of NewFlex Technology i.e., NewFlex Technology and Koryo Credit go up and down completely randomly.
Pair Corralation between NewFlex Technology and Koryo Credit
Assuming the 90 days trading horizon NewFlex Technology Co is expected to under-perform the Koryo Credit. In addition to that, NewFlex Technology is 1.97 times more volatile than Koryo Credit Information. It trades about -0.21 of its total potential returns per unit of risk. Koryo Credit Information is currently generating about 0.24 per unit of volatility. If you would invest 970,000 in Koryo Credit Information on September 1, 2024 and sell it today you would earn a total of 61,000 from holding Koryo Credit Information or generate 6.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NewFlex Technology Co vs. Koryo Credit Information
Performance |
Timeline |
NewFlex Technology |
Koryo Credit Information |
NewFlex Technology and Koryo Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NewFlex Technology and Koryo Credit
The main advantage of trading using opposite NewFlex Technology and Koryo Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NewFlex Technology position performs unexpectedly, Koryo Credit 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 Koryo Credit will offset losses from the drop in Koryo Credit's long position.NewFlex Technology vs. Dongsin Engineering Construction | NewFlex Technology vs. Doosan Fuel Cell | NewFlex Technology vs. Daishin Balance 1 | NewFlex Technology vs. Total Soft 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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