Correlation Between Hanil Chemical and HLB Pharmaceutical
Can any of the company-specific risk be diversified away by investing in both Hanil Chemical and HLB Pharmaceutical 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 Hanil Chemical and HLB Pharmaceutical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanil Chemical Ind and HLB Pharmaceutical Co, you can compare the effects of market volatilities on Hanil Chemical and HLB Pharmaceutical 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 Hanil Chemical with a short position of HLB Pharmaceutical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanil Chemical and HLB Pharmaceutical.
Diversification Opportunities for Hanil Chemical and HLB Pharmaceutical
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Hanil and HLB is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Hanil Chemical Ind and HLB Pharmaceutical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HLB Pharmaceutical and Hanil Chemical 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 Hanil Chemical Ind are associated (or correlated) with HLB Pharmaceutical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HLB Pharmaceutical has no effect on the direction of Hanil Chemical i.e., Hanil Chemical and HLB Pharmaceutical go up and down completely randomly.
Pair Corralation between Hanil Chemical and HLB Pharmaceutical
Assuming the 90 days trading horizon Hanil Chemical Ind is expected to generate 0.43 times more return on investment than HLB Pharmaceutical. However, Hanil Chemical Ind is 2.32 times less risky than HLB Pharmaceutical. It trades about -0.04 of its potential returns per unit of risk. HLB Pharmaceutical Co is currently generating about -0.06 per unit of risk. If you would invest 1,224,000 in Hanil Chemical Ind on September 14, 2024 and sell it today you would lose (71,000) from holding Hanil Chemical Ind or give up 5.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.31% |
Values | Daily Returns |
Hanil Chemical Ind vs. HLB Pharmaceutical Co
Performance |
Timeline |
Hanil Chemical Ind |
HLB Pharmaceutical |
Hanil Chemical and HLB Pharmaceutical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanil Chemical and HLB Pharmaceutical
The main advantage of trading using opposite Hanil Chemical and HLB Pharmaceutical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanil Chemical position performs unexpectedly, HLB Pharmaceutical 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 HLB Pharmaceutical will offset losses from the drop in HLB Pharmaceutical's long position.Hanil Chemical vs. Polaris Office Corp | Hanil Chemical vs. Samhyun Steel Co | Hanil Chemical vs. Wonil Special Steel | Hanil Chemical vs. Innowireless Co |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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