Correlation Between Seoul Food and Golden Bridge
Can any of the company-specific risk be diversified away by investing in both Seoul Food and Golden Bridge 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 Seoul Food and Golden Bridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seoul Food Industrial and Golden Bridge Investment, you can compare the effects of market volatilities on Seoul Food and Golden Bridge 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 Seoul Food with a short position of Golden Bridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seoul Food and Golden Bridge.
Diversification Opportunities for Seoul Food and Golden Bridge
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Seoul and Golden is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Seoul Food Industrial and Golden Bridge Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golden Bridge Investment and Seoul Food 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 Seoul Food Industrial are associated (or correlated) with Golden Bridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golden Bridge Investment has no effect on the direction of Seoul Food i.e., Seoul Food and Golden Bridge go up and down completely randomly.
Pair Corralation between Seoul Food and Golden Bridge
Assuming the 90 days trading horizon Seoul Food Industrial is expected to generate 1.1 times more return on investment than Golden Bridge. However, Seoul Food is 1.1 times more volatile than Golden Bridge Investment. It trades about -0.01 of its potential returns per unit of risk. Golden Bridge Investment is currently generating about -0.08 per unit of risk. If you would invest 15,600 in Seoul Food Industrial on August 30, 2024 and sell it today you would lose (100.00) from holding Seoul Food Industrial or give up 0.64% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 95.65% |
| Values | Daily Returns |
Seoul Food Industrial vs. Golden Bridge Investment
Performance |
| Timeline |
| Seoul Food Industrial |
| Golden Bridge Investment |
Seoul Food and Golden Bridge Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Seoul Food and Golden Bridge
The main advantage of trading using opposite Seoul Food and Golden Bridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seoul Food position performs unexpectedly, Golden Bridge 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 Golden Bridge will offset losses from the drop in Golden Bridge's long position.| Seoul Food vs. Osang Healthcare Co,Ltd | Seoul Food vs. Coloray International Investment | Seoul Food vs. Lotte Non Life Insurance | Seoul Food vs. Hanwha InvestmentSecurities Co |
| Golden Bridge vs. Sempio Foods Co | Golden Bridge vs. Sangsangin Investment Securities | Golden Bridge vs. NH Investment Securities | Golden Bridge vs. Samlip General Foods |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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