Correlation Between PH Tech and Daejung Chemicals
Can any of the company-specific risk be diversified away by investing in both PH Tech 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 PH Tech and Daejung Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PH Tech Co and Daejung Chemicals Metals, you can compare the effects of market volatilities on PH Tech 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 PH Tech with a short position of Daejung Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of PH Tech and Daejung Chemicals.
Diversification Opportunities for PH Tech and Daejung Chemicals
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 239890 and Daejung is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding PH Tech Co 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 PH Tech 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 PH Tech Co 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 PH Tech i.e., PH Tech and Daejung Chemicals go up and down completely randomly.
Pair Corralation between PH Tech and Daejung Chemicals
Assuming the 90 days trading horizon PH Tech Co is expected to under-perform the Daejung Chemicals. In addition to that, PH Tech is 2.43 times more volatile than Daejung Chemicals Metals. It trades about -0.05 of its total potential returns per unit of risk. Daejung Chemicals Metals is currently generating about -0.11 per unit of volatility. If you would invest 1,489,000 in Daejung Chemicals Metals on September 23, 2024 and sell it today you would lose (186,000) from holding Daejung Chemicals Metals or give up 12.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
PH Tech Co vs. Daejung Chemicals Metals
Performance |
Timeline |
PH Tech |
Daejung Chemicals Metals |
PH Tech and Daejung Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PH Tech and Daejung Chemicals
The main advantage of trading using opposite PH Tech and Daejung Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PH Tech 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.PH Tech vs. LG Chem | PH Tech vs. Chunbo Co | PH Tech vs. DukSan Neolux CoLtd | PH Tech vs. Hyosung Chemical Corp |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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