Correlation Between Handok Clean and Industrial Bank
Can any of the company-specific risk be diversified away by investing in both Handok Clean and Industrial Bank 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 Handok Clean and Industrial Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Handok Clean Tech and Industrial Bank, you can compare the effects of market volatilities on Handok Clean and Industrial Bank 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 Handok Clean with a short position of Industrial Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Handok Clean and Industrial Bank.
Diversification Opportunities for Handok Clean and Industrial Bank
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Handok and Industrial is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Handok Clean Tech and Industrial Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Industrial Bank and Handok Clean 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 Handok Clean Tech are associated (or correlated) with Industrial Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Industrial Bank has no effect on the direction of Handok Clean i.e., Handok Clean and Industrial Bank go up and down completely randomly.
Pair Corralation between Handok Clean and Industrial Bank
Assuming the 90 days trading horizon Handok Clean Tech is expected to under-perform the Industrial Bank. In addition to that, Handok Clean is 1.35 times more volatile than Industrial Bank. It trades about -0.01 of its total potential returns per unit of risk. Industrial Bank is currently generating about 0.07 per unit of volatility. If you would invest 980,142 in Industrial Bank on October 3, 2024 and sell it today you would earn a total of 452,858 from holding Industrial Bank or generate 46.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Handok Clean Tech vs. Industrial Bank
Performance |
Timeline |
Handok Clean Tech |
Industrial Bank |
Handok Clean and Industrial Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Handok Clean and Industrial Bank
The main advantage of trading using opposite Handok Clean and Industrial Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Handok Clean position performs unexpectedly, Industrial Bank 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 Industrial Bank will offset losses from the drop in Industrial Bank's long position.Handok Clean vs. National Plastic Co | Handok Clean vs. Sung Bo Chemicals | Handok Clean vs. Iljin Materials Co | Handok Clean vs. Kolon Plastics |
Industrial Bank vs. Top Material Co | Industrial Bank vs. Sewoon Medical Co | Industrial Bank vs. Lotte Rental Co | Industrial Bank vs. Lake Materials 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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