Correlation Between Daejung Chemicals and Nh Investment
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and Nh Investment 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 Nh Investment 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 Nh Investment And, you can compare the effects of market volatilities on Daejung Chemicals and Nh Investment 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 Nh Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and Nh Investment.
Diversification Opportunities for Daejung Chemicals and Nh Investment
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Daejung and 005945 is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and Nh Investment And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nh Investment And 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 Nh Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nh Investment And has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and Nh Investment go up and down completely randomly.
Pair Corralation between Daejung Chemicals and Nh Investment
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to generate 2.18 times more return on investment than Nh Investment. However, Daejung Chemicals is 2.18 times more volatile than Nh Investment And. It trades about 0.16 of its potential returns per unit of risk. Nh Investment And is currently generating about 0.04 per unit of risk. If you would invest 1,220,712 in Daejung Chemicals Metals on October 6, 2024 and sell it today you would earn a total of 87,288 from holding Daejung Chemicals Metals or generate 7.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Daejung Chemicals Metals vs. Nh Investment And
Performance |
Timeline |
Daejung Chemicals Metals |
Nh Investment And |
Daejung Chemicals and Nh Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and Nh Investment
The main advantage of trading using opposite Daejung Chemicals and Nh Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, Nh Investment 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 Nh Investment will offset losses from the drop in Nh Investment'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 |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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