Correlation Between Hana Financial and Handok Clean
Can any of the company-specific risk be diversified away by investing in both Hana Financial and Handok Clean 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 Hana Financial and Handok Clean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hana Financial and Handok Clean Tech, you can compare the effects of market volatilities on Hana Financial and Handok Clean 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 Hana Financial with a short position of Handok Clean. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hana Financial and Handok Clean.
Diversification Opportunities for Hana Financial and Handok Clean
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Hana and Handok is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Hana Financial and Handok Clean Tech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Handok Clean Tech and Hana Financial 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 Hana Financial are associated (or correlated) with Handok Clean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Handok Clean Tech has no effect on the direction of Hana Financial i.e., Hana Financial and Handok Clean go up and down completely randomly.
Pair Corralation between Hana Financial and Handok Clean
Assuming the 90 days trading horizon Hana Financial is expected to under-perform the Handok Clean. In addition to that, Hana Financial is 1.19 times more volatile than Handok Clean Tech. It trades about -0.06 of its total potential returns per unit of risk. Handok Clean Tech is currently generating about 0.08 per unit of volatility. If you would invest 596,318 in Handok Clean Tech on December 3, 2024 and sell it today you would earn a total of 40,682 from holding Handok Clean Tech or generate 6.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hana Financial vs. Handok Clean Tech
Performance |
Timeline |
Hana Financial |
Handok Clean Tech |
Hana Financial and Handok Clean Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hana Financial and Handok Clean
The main advantage of trading using opposite Hana Financial and Handok Clean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hana Financial position performs unexpectedly, Handok Clean 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 Handok Clean will offset losses from the drop in Handok Clean's long position.Hana Financial vs. Iljin Display | Hana Financial vs. Digital Power Communications | Hana Financial vs. Sangsin Energy Display | Hana Financial vs. Korea Electronic Certification |
Handok Clean vs. DataSolution | Handok Clean vs. LG Display Co | Handok Clean vs. NICE Information Service | Handok Clean vs. Ssangyong Information Communication |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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