Correlation Between Korea Refractories and InfoBank
Can any of the company-specific risk be diversified away by investing in both Korea Refractories and InfoBank 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 Korea Refractories and InfoBank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korea Refractories Co and InfoBank, you can compare the effects of market volatilities on Korea Refractories and InfoBank 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 Korea Refractories with a short position of InfoBank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korea Refractories and InfoBank.
Diversification Opportunities for Korea Refractories and InfoBank
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Korea and InfoBank is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Korea Refractories Co and InfoBank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on InfoBank and Korea Refractories 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 Korea Refractories Co are associated (or correlated) with InfoBank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of InfoBank has no effect on the direction of Korea Refractories i.e., Korea Refractories and InfoBank go up and down completely randomly.
Pair Corralation between Korea Refractories and InfoBank
Assuming the 90 days trading horizon Korea Refractories Co is expected to under-perform the InfoBank. But the stock apears to be less risky and, when comparing its historical volatility, Korea Refractories Co is 2.63 times less risky than InfoBank. The stock trades about -0.05 of its potential returns per unit of risk. The InfoBank is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 654,000 in InfoBank on September 3, 2024 and sell it today you would earn a total of 30,000 from holding InfoBank or generate 4.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Korea Refractories Co vs. InfoBank
Performance |
Timeline |
Korea Refractories |
InfoBank |
Korea Refractories and InfoBank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korea Refractories and InfoBank
The main advantage of trading using opposite Korea Refractories and InfoBank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korea Refractories position performs unexpectedly, InfoBank 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 InfoBank will offset losses from the drop in InfoBank's long position.Korea Refractories vs. Eagon Industrial Co | Korea Refractories vs. Shinhan Financial Group | Korea Refractories vs. Korean Reinsurance Co | Korea Refractories vs. Seoul Food Industrial |
InfoBank vs. Korea Refract | InfoBank vs. Korea Refractories Co | InfoBank vs. Shinhan Inverse WTI | InfoBank vs. SAMYOUNG M Tek 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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