Correlation Between Lotte Data and Lotte Energy
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Lotte Energy 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 Lotte Energy 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 Lotte Energy Materials, you can compare the effects of market volatilities on Lotte Data and Lotte Energy 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 Lotte Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Lotte Energy.
Diversification Opportunities for Lotte Data and Lotte Energy
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lotte and Lotte is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Lotte Energy Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Energy Materials 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 Lotte Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Energy Materials has no effect on the direction of Lotte Data i.e., Lotte Data and Lotte Energy go up and down completely randomly.
Pair Corralation between Lotte Data and Lotte Energy
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 0.94 times more return on investment than Lotte Energy. However, Lotte Data Communication is 1.06 times less risky than Lotte Energy. It trades about -0.17 of its potential returns per unit of risk. Lotte Energy Materials is currently generating about -0.54 per unit of risk. If you would invest 2,230,000 in Lotte Data Communication on August 26, 2024 and sell it today you would lose (215,000) from holding Lotte Data Communication or give up 9.64% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lotte Data Communication vs. Lotte Energy Materials
Performance |
| Timeline |
| Lotte Data Communication |
| Lotte Energy Materials |
Lotte Data and Lotte Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lotte Data and Lotte Energy
The main advantage of trading using opposite Lotte Data and Lotte Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Lotte Energy 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 Energy will offset losses from the drop in Lotte Energy's long position.| Lotte Data vs. SK Holdings Co | Lotte Data vs. Daou Tech | Lotte Data vs. KT Corporation | Lotte Data vs. Samsung Heavy Industries |
| Lotte Energy vs. Inzi Display CoLtd | Lotte Energy vs. Digital Power Communications | Lotte Energy vs. Lotte Data Communication | Lotte Energy vs. Hankook Furniture 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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