Correlation Between Automobile and Sungdo Engineering
Can any of the company-specific risk be diversified away by investing in both Automobile and Sungdo Engineering 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 Automobile and Sungdo Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automobile Pc and Sungdo Engineering Construction, you can compare the effects of market volatilities on Automobile and Sungdo Engineering 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 Automobile with a short position of Sungdo Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automobile and Sungdo Engineering.
Diversification Opportunities for Automobile and Sungdo Engineering
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Automobile and Sungdo is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Automobile Pc and Sungdo Engineering Constructio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sungdo Engineering and Automobile 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 Automobile Pc are associated (or correlated) with Sungdo Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sungdo Engineering has no effect on the direction of Automobile i.e., Automobile and Sungdo Engineering go up and down completely randomly.
Pair Corralation between Automobile and Sungdo Engineering
Assuming the 90 days trading horizon Automobile Pc is expected to under-perform the Sungdo Engineering. In addition to that, Automobile is 1.35 times more volatile than Sungdo Engineering Construction. It trades about -0.06 of its total potential returns per unit of risk. Sungdo Engineering Construction is currently generating about -0.05 per unit of volatility. If you would invest 538,000 in Sungdo Engineering Construction on October 10, 2024 and sell it today you would lose (50,500) from holding Sungdo Engineering Construction or give up 9.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Automobile Pc vs. Sungdo Engineering Constructio
Performance |
Timeline |
Automobile Pc |
Sungdo Engineering |
Automobile and Sungdo Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automobile and Sungdo Engineering
The main advantage of trading using opposite Automobile and Sungdo Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automobile position performs unexpectedly, Sungdo Engineering 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 Sungdo Engineering will offset losses from the drop in Sungdo Engineering's long position.Automobile vs. Homecast CoLtd | Automobile vs. KakaoBank Corp | Automobile vs. Dongbu Insurance Co | Automobile vs. Shinhan Financial Group |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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