Correlation Between Daejung Chemicals and Jeju Bank
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and Jeju Bank 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 Daejung Chemicals and Jeju Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daejung Chemicals Metals and Jeju Bank, you can compare the effects of market volatilities on Daejung Chemicals and Jeju Bank 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 Daejung Chemicals with a short position of Jeju Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and Jeju Bank.
Diversification Opportunities for Daejung Chemicals and Jeju Bank
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Daejung and Jeju is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and Jeju Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jeju Bank and Daejung Chemicals 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 Daejung Chemicals Metals are associated (or correlated) with Jeju Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jeju Bank has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and Jeju Bank go up and down completely randomly.
Pair Corralation between Daejung Chemicals and Jeju Bank
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to generate 0.76 times more return on investment than Jeju Bank. However, Daejung Chemicals Metals is 1.31 times less risky than Jeju Bank. It trades about 0.05 of its potential returns per unit of risk. Jeju Bank is currently generating about -0.04 per unit of risk. If you would invest 1,280,000 in Daejung Chemicals Metals on September 23, 2024 and sell it today you would earn a total of 23,000 from holding Daejung Chemicals Metals or generate 1.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Daejung Chemicals Metals vs. Jeju Bank
Performance |
Timeline |
Daejung Chemicals Metals |
Jeju Bank |
Daejung Chemicals and Jeju Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and Jeju Bank
The main advantage of trading using opposite Daejung Chemicals and Jeju Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, Jeju Bank 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 Jeju Bank will offset losses from the drop in Jeju Bank's long position.Daejung Chemicals vs. LG Chem | Daejung Chemicals vs. Chunbo Co | Daejung Chemicals vs. DukSan Neolux CoLtd | Daejung Chemicals vs. Hyosung Chemical Corp |
Jeju Bank vs. Seoul Electronics Telecom | Jeju Bank vs. Polaris Office Corp | Jeju Bank vs. Lotte Data Communication | Jeju Bank vs. Daejung Chemicals Metals |
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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