Correlation Between Woori Financial and Ngx Energy
Can any of the company-specific risk be diversified away by investing in both Woori Financial and Ngx Energy 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 Woori Financial and Ngx Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Woori Financial Group and Ngx Energy International, you can compare the effects of market volatilities on Woori Financial and Ngx Energy 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 Woori Financial with a short position of Ngx Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woori Financial and Ngx Energy.
Diversification Opportunities for Woori Financial and Ngx Energy
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Woori and Ngx is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Woori Financial Group and Ngx Energy International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ngx Energy International and Woori Financial 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 Woori Financial Group are associated (or correlated) with Ngx Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ngx Energy International has no effect on the direction of Woori Financial i.e., Woori Financial and Ngx Energy go up and down completely randomly.
Pair Corralation between Woori Financial and Ngx Energy
Allowing for the 90-day total investment horizon Woori Financial Group is expected to under-perform the Ngx Energy. But the stock apears to be less risky and, when comparing its historical volatility, Woori Financial Group is 2.2 times less risky than Ngx Energy. The stock trades about -0.14 of its potential returns per unit of risk. The Ngx Energy International is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 70.00 in Ngx Energy International on October 24, 2024 and sell it today you would earn a total of 10.00 from holding Ngx Energy International or generate 14.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Woori Financial Group vs. Ngx Energy International
Performance |
Timeline |
Woori Financial Group |
Ngx Energy International |
Woori Financial and Ngx Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Woori Financial and Ngx Energy
The main advantage of trading using opposite Woori Financial and Ngx Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woori Financial position performs unexpectedly, Ngx Energy 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 Ngx Energy will offset losses from the drop in Ngx Energy's long position.Woori Financial vs. Shinhan Financial Group | Woori Financial vs. KB Financial Group | Woori Financial vs. Banco De Chile | Woori Financial vs. Orix Corp Ads |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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