Correlation Between Elmos Semiconductor and KB Financial
Can any of the company-specific risk be diversified away by investing in both Elmos Semiconductor and KB Financial 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 Elmos Semiconductor and KB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Elmos Semiconductor SE and KB Financial Group, you can compare the effects of market volatilities on Elmos Semiconductor and KB Financial 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 Elmos Semiconductor with a short position of KB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Elmos Semiconductor and KB Financial.
Diversification Opportunities for Elmos Semiconductor and KB Financial
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Elmos and KBIA is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Elmos Semiconductor SE and KB Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KB Financial Group and Elmos Semiconductor 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 Elmos Semiconductor SE are associated (or correlated) with KB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KB Financial Group has no effect on the direction of Elmos Semiconductor i.e., Elmos Semiconductor and KB Financial go up and down completely randomly.
Pair Corralation between Elmos Semiconductor and KB Financial
Assuming the 90 days trading horizon Elmos Semiconductor SE is expected to generate 1.1 times more return on investment than KB Financial. However, Elmos Semiconductor is 1.1 times more volatile than KB Financial Group. It trades about 0.08 of its potential returns per unit of risk. KB Financial Group is currently generating about -0.13 per unit of risk. If you would invest 6,380 in Elmos Semiconductor SE on December 4, 2024 and sell it today you would earn a total of 710.00 from holding Elmos Semiconductor SE or generate 11.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Elmos Semiconductor SE vs. KB Financial Group
Performance |
Timeline |
Elmos Semiconductor |
KB Financial Group |
Elmos Semiconductor and KB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Elmos Semiconductor and KB Financial
The main advantage of trading using opposite Elmos Semiconductor and KB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Elmos Semiconductor position performs unexpectedly, KB Financial 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 KB Financial will offset losses from the drop in KB Financial's long position.Elmos Semiconductor vs. AEON METALS LTD | Elmos Semiconductor vs. Beta Systems Software | Elmos Semiconductor vs. Nippon Light Metal | Elmos Semiconductor vs. FANDIFI TECHNOLOGY P |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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