Correlation Between Jb Financial and Daejung Chemicals
Can any of the company-specific risk be diversified away by investing in both Jb Financial and Daejung Chemicals 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 Jb Financial and Daejung Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jb Financial and Daejung Chemicals Metals, you can compare the effects of market volatilities on Jb Financial and Daejung Chemicals 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 Jb Financial with a short position of Daejung Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jb Financial and Daejung Chemicals.
Diversification Opportunities for Jb Financial and Daejung Chemicals
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between 175330 and Daejung is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Jb Financial and Daejung Chemicals Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daejung Chemicals Metals and Jb 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 Jb Financial are associated (or correlated) with Daejung Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daejung Chemicals Metals has no effect on the direction of Jb Financial i.e., Jb Financial and Daejung Chemicals go up and down completely randomly.
Pair Corralation between Jb Financial and Daejung Chemicals
Assuming the 90 days trading horizon Jb Financial is expected to generate 1.35 times more return on investment than Daejung Chemicals. However, Jb Financial is 1.35 times more volatile than Daejung Chemicals Metals. It trades about 0.08 of its potential returns per unit of risk. Daejung Chemicals Metals is currently generating about -0.11 per unit of risk. If you would invest 1,484,950 in Jb Financial on September 23, 2024 and sell it today you would earn a total of 164,050 from holding Jb Financial or generate 11.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jb Financial vs. Daejung Chemicals Metals
Performance |
Timeline |
Jb Financial |
Daejung Chemicals Metals |
Jb Financial and Daejung Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jb Financial and Daejung Chemicals
The main advantage of trading using opposite Jb Financial and Daejung Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jb Financial position performs unexpectedly, Daejung Chemicals 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 Daejung Chemicals will offset losses from the drop in Daejung Chemicals' long position.Jb Financial vs. KB Financial Group | Jb Financial vs. Shinhan Financial Group | Jb Financial vs. Hyundai Motor | Jb Financial vs. Hyundai Motor Co |
Daejung Chemicals vs. LG Chem | Daejung Chemicals vs. Chunbo Co | Daejung Chemicals vs. DukSan Neolux CoLtd | Daejung Chemicals vs. Hyosung Chemical Corp |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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