Correlation Between Ssangyong Information and Design
Can any of the company-specific risk be diversified away by investing in both Ssangyong Information and Design 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 Ssangyong Information and Design into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ssangyong Information Communication and Design Co, you can compare the effects of market volatilities on Ssangyong Information and Design 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 Ssangyong Information with a short position of Design. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Information and Design.
Diversification Opportunities for Ssangyong Information and Design
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ssangyong and Design is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Information Communic and Design Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Design and Ssangyong Information 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 Ssangyong Information Communication are associated (or correlated) with Design. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Design has no effect on the direction of Ssangyong Information i.e., Ssangyong Information and Design go up and down completely randomly.
Pair Corralation between Ssangyong Information and Design
Assuming the 90 days trading horizon Ssangyong Information is expected to generate 4.5 times less return on investment than Design. But when comparing it to its historical volatility, Ssangyong Information Communication is 6.58 times less risky than Design. It trades about 0.05 of its potential returns per unit of risk. Design Co is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 75,100 in Design Co on September 22, 2024 and sell it today you would lose (5,300) from holding Design Co or give up 7.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Ssangyong Information Communic vs. Design Co
Performance |
Timeline |
Ssangyong Information |
Design |
Ssangyong Information and Design Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ssangyong Information and Design
The main advantage of trading using opposite Ssangyong Information and Design positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Information position performs unexpectedly, Design 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 Design will offset losses from the drop in Design's long position.Ssangyong Information vs. Settlebank | Ssangyong Information vs. Cafe24 Corp | Ssangyong Information vs. Korea Computer Systems | Ssangyong Information vs. SSR Inc |
Design vs. SK Chemicals Co | Design vs. Sejong Telecom | Design vs. ITM Semiconductor Co | Design vs. Ssangyong Information Communication |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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