Correlation Between Daejung Chemicals and Haisung TPC
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and Haisung TPC 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 Haisung TPC 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 Haisung TPC Co, you can compare the effects of market volatilities on Daejung Chemicals and Haisung TPC 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 Haisung TPC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and Haisung TPC.
Diversification Opportunities for Daejung Chemicals and Haisung TPC
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Daejung and Haisung is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and Haisung TPC Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haisung TPC 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 Haisung TPC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haisung TPC has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and Haisung TPC go up and down completely randomly.
Pair Corralation between Daejung Chemicals and Haisung TPC
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to generate 0.42 times more return on investment than Haisung TPC. However, Daejung Chemicals Metals is 2.36 times less risky than Haisung TPC. It trades about -0.08 of its potential returns per unit of risk. Haisung TPC Co is currently generating about -0.19 per unit of risk. If you would invest 1,441,000 in Daejung Chemicals Metals on September 14, 2024 and sell it today you would lose (129,000) from holding Daejung Chemicals Metals or give up 8.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.31% |
Values | Daily Returns |
Daejung Chemicals Metals vs. Haisung TPC Co
Performance |
Timeline |
Daejung Chemicals Metals |
Haisung TPC |
Daejung Chemicals and Haisung TPC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and Haisung TPC
The main advantage of trading using opposite Daejung Chemicals and Haisung TPC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, Haisung TPC 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 Haisung TPC will offset losses from the drop in Haisung TPC's long position.Daejung Chemicals vs. LG Chem | Daejung Chemicals vs. Chunbo Co | Daejung Chemicals vs. DukSan Neolux CoLtd | Daejung Chemicals vs. LIG ES SPAC |
Haisung TPC vs. Haesung Industrial Co | Haisung TPC vs. Daejung Chemicals Metals | Haisung TPC vs. Hyunwoo Industrial Co | Haisung TPC vs. Hanmi Semiconductor Co |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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