Correlation Between Industrial Bank and Seoul Food
Can any of the company-specific risk be diversified away by investing in both Industrial Bank and Seoul Food 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 Industrial Bank and Seoul Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Industrial Bank and Seoul Food Industrial, you can compare the effects of market volatilities on Industrial Bank and Seoul Food 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 Industrial Bank with a short position of Seoul Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Industrial Bank and Seoul Food.
Diversification Opportunities for Industrial Bank and Seoul Food
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Industrial and Seoul is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Industrial Bank and Seoul Food Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Food Industrial and Industrial Bank 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 Industrial Bank are associated (or correlated) with Seoul Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Food Industrial has no effect on the direction of Industrial Bank i.e., Industrial Bank and Seoul Food go up and down completely randomly.
Pair Corralation between Industrial Bank and Seoul Food
Assuming the 90 days trading horizon Industrial Bank is expected to under-perform the Seoul Food. But the stock apears to be less risky and, when comparing its historical volatility, Industrial Bank is 1.06 times less risky than Seoul Food. The stock trades about -0.05 of its potential returns per unit of risk. The Seoul Food Industrial is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 14,800 in Seoul Food Industrial on October 12, 2024 and sell it today you would earn a total of 300.00 from holding Seoul Food Industrial or generate 2.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Industrial Bank vs. Seoul Food Industrial
Performance |
Timeline |
Industrial Bank |
Seoul Food Industrial |
Industrial Bank and Seoul Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Industrial Bank and Seoul Food
The main advantage of trading using opposite Industrial Bank and Seoul Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Industrial Bank position performs unexpectedly, Seoul Food 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 Seoul Food will offset losses from the drop in Seoul Food's long position.Industrial Bank vs. Namhae Chemical | Industrial Bank vs. Samsung Life Insurance | Industrial Bank vs. Hanil Chemical Ind | Industrial Bank vs. Korean Reinsurance Co |
Seoul Food vs. Industrial Bank | Seoul Food vs. Songwon Industrial Co | Seoul Food vs. Seoul Electronics Telecom | Seoul Food vs. Drb Industrial |
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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