Correlation Between Sangsin Energy and Lotte Chemical
Can any of the company-specific risk be diversified away by investing in both Sangsin Energy and Lotte Chemical 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 Sangsin Energy and Lotte Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sangsin Energy Display and Lotte Chemical Corp, you can compare the effects of market volatilities on Sangsin Energy and Lotte Chemical 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 Sangsin Energy with a short position of Lotte Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sangsin Energy and Lotte Chemical.
Diversification Opportunities for Sangsin Energy and Lotte Chemical
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sangsin and Lotte is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Sangsin Energy Display and Lotte Chemical Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Chemical Corp and Sangsin Energy 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 Sangsin Energy Display are associated (or correlated) with Lotte Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Chemical Corp has no effect on the direction of Sangsin Energy i.e., Sangsin Energy and Lotte Chemical go up and down completely randomly.
Pair Corralation between Sangsin Energy and Lotte Chemical
Assuming the 90 days trading horizon Sangsin Energy Display is expected to generate 0.73 times more return on investment than Lotte Chemical. However, Sangsin Energy Display is 1.37 times less risky than Lotte Chemical. It trades about -0.09 of its potential returns per unit of risk. Lotte Chemical Corp is currently generating about -0.12 per unit of risk. If you would invest 810,000 in Sangsin Energy Display on September 14, 2024 and sell it today you would lose (64,000) from holding Sangsin Energy Display or give up 7.9% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sangsin Energy Display vs. Lotte Chemical Corp
Performance |
| Timeline |
| Sangsin Energy Display |
| Lotte Chemical Corp |
Sangsin Energy and Lotte Chemical Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sangsin Energy and Lotte Chemical
The main advantage of trading using opposite Sangsin Energy and Lotte Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sangsin Energy position performs unexpectedly, Lotte Chemical 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 Lotte Chemical will offset losses from the drop in Lotte Chemical's long position.| Sangsin Energy vs. Korea New Network | Sangsin Energy vs. Solution Advanced Technology | Sangsin Energy vs. Busan Industrial Co | Sangsin Energy vs. Busan Ind |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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