Correlation Between Sam Yang and SCI Information
Can any of the company-specific risk be diversified away by investing in both Sam Yang and SCI Information 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 Sam Yang and SCI Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sam Yang Foods and SCI Information Service, you can compare the effects of market volatilities on Sam Yang and SCI Information 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 Sam Yang with a short position of SCI Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sam Yang and SCI Information.
Diversification Opportunities for Sam Yang and SCI Information
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sam and SCI is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Sam Yang Foods and SCI Information Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCI Information Service and Sam Yang 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 Sam Yang Foods are associated (or correlated) with SCI Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCI Information Service has no effect on the direction of Sam Yang i.e., Sam Yang and SCI Information go up and down completely randomly.
Pair Corralation between Sam Yang and SCI Information
Assuming the 90 days trading horizon Sam Yang Foods is expected to generate 2.05 times more return on investment than SCI Information. However, Sam Yang is 2.05 times more volatile than SCI Information Service. It trades about 0.27 of its potential returns per unit of risk. SCI Information Service is currently generating about 0.11 per unit of risk. If you would invest 51,900,000 in Sam Yang Foods on November 29, 2024 and sell it today you would earn a total of 35,700,000 from holding Sam Yang Foods or generate 68.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sam Yang Foods vs. SCI Information Service
Performance |
Timeline |
Sam Yang Foods |
SCI Information Service |
Sam Yang and SCI Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sam Yang and SCI Information
The main advantage of trading using opposite Sam Yang and SCI Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sam Yang position performs unexpectedly, SCI Information 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 SCI Information will offset losses from the drop in SCI Information's long position.Sam Yang vs. Nam Hwa Construction | Sam Yang vs. Daewoo Engineering Construction | Sam Yang vs. Sungdo Engineering Construction | Sam Yang vs. Adaptive Plasma Technology |
SCI Information vs. Grand Korea Leisure | SCI Information vs. Kyung In Synthetic Corp | SCI Information vs. Hanwha Chemical Corp | SCI Information vs. Handok Clean Tech |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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