Correlation Between SungMoon Electronics and Booster
Can any of the company-specific risk be diversified away by investing in both SungMoon Electronics and Booster 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 SungMoon Electronics and Booster into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SungMoon Electronics Co and Booster Co, you can compare the effects of market volatilities on SungMoon Electronics and Booster 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 SungMoon Electronics with a short position of Booster. Check out your portfolio center. Please also check ongoing floating volatility patterns of SungMoon Electronics and Booster.
Diversification Opportunities for SungMoon Electronics and Booster
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SungMoon and Booster is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding SungMoon Electronics Co and Booster Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Booster and SungMoon Electronics 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 SungMoon Electronics Co are associated (or correlated) with Booster. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Booster has no effect on the direction of SungMoon Electronics i.e., SungMoon Electronics and Booster go up and down completely randomly.
Pair Corralation between SungMoon Electronics and Booster
Assuming the 90 days trading horizon SungMoon Electronics Co is expected to under-perform the Booster. In addition to that, SungMoon Electronics is 1.68 times more volatile than Booster Co. It trades about -0.08 of its total potential returns per unit of risk. Booster Co is currently generating about -0.1 per unit of volatility. If you would invest 415,000 in Booster Co on September 14, 2024 and sell it today you would lose (27,000) from holding Booster Co or give up 6.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SungMoon Electronics Co vs. Booster Co
Performance |
Timeline |
SungMoon Electronics |
Booster |
SungMoon Electronics and Booster Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SungMoon Electronics and Booster
The main advantage of trading using opposite SungMoon Electronics and Booster positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SungMoon Electronics position performs unexpectedly, Booster 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 Booster will offset losses from the drop in Booster's long position.SungMoon Electronics vs. Samsung Electronics Co | SungMoon Electronics vs. Samsung Electronics Co | SungMoon Electronics vs. SK Hynix | SungMoon Electronics vs. POSCO Holdings |
Booster vs. SungMoon Electronics Co | Booster vs. EBEST Investment Securities | Booster vs. Golden Bridge Investment | Booster vs. ABOV Semiconductor Co |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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