Correlation Between Lotte Data and Samyung Trading
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Samyung Trading 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 Lotte Data and Samyung Trading into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Data Communication and Samyung Trading Co, you can compare the effects of market volatilities on Lotte Data and Samyung Trading 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 Lotte Data with a short position of Samyung Trading. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Samyung Trading.
Diversification Opportunities for Lotte Data and Samyung Trading
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lotte and Samyung is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Samyung Trading Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samyung Trading and Lotte Data 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 Lotte Data Communication are associated (or correlated) with Samyung Trading. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samyung Trading has no effect on the direction of Lotte Data i.e., Lotte Data and Samyung Trading go up and down completely randomly.
Pair Corralation between Lotte Data and Samyung Trading
Assuming the 90 days trading horizon Lotte Data Communication is expected to under-perform the Samyung Trading. In addition to that, Lotte Data is 2.95 times more volatile than Samyung Trading Co. It trades about -0.08 of its total potential returns per unit of risk. Samyung Trading Co is currently generating about -0.03 per unit of volatility. If you would invest 1,269,000 in Samyung Trading Co on October 23, 2024 and sell it today you would lose (22,000) from holding Samyung Trading Co or give up 1.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Samyung Trading Co
Performance |
Timeline |
Lotte Data Communication |
Samyung Trading |
Lotte Data and Samyung Trading Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Samyung Trading
The main advantage of trading using opposite Lotte Data and Samyung Trading positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Samyung Trading 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 Samyung Trading will offset losses from the drop in Samyung Trading's long position.Lotte Data vs. Global Standard Technology | Lotte Data vs. Daewon Media Co | Lotte Data vs. Koh Young Technology | Lotte Data vs. KG Eco Technology |
Samyung Trading vs. Cube Entertainment | Samyung Trading vs. Dongil Metal Co | Samyung Trading vs. SKONEC Entertainment Co | Samyung Trading vs. Tamul Multimedia 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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