Correlation Between Lotte Data and JC Chemical
Can any of the company-specific risk be diversified away by investing in both Lotte Data and JC 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 Lotte Data and JC Chemical 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 JC Chemical Co, you can compare the effects of market volatilities on Lotte Data and JC 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 Lotte Data with a short position of JC Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and JC Chemical.
Diversification Opportunities for Lotte Data and JC Chemical
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lotte and 137950 is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and JC Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JC Chemical 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 JC Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JC Chemical has no effect on the direction of Lotte Data i.e., Lotte Data and JC Chemical go up and down completely randomly.
Pair Corralation between Lotte Data and JC Chemical
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 1.01 times more return on investment than JC Chemical. However, Lotte Data is 1.01 times more volatile than JC Chemical Co. It trades about -0.19 of its potential returns per unit of risk. JC Chemical Co is currently generating about -0.46 per unit of risk. If you would invest 2,060,000 in Lotte Data Communication on November 7, 2024 and sell it today you would lose (106,000) from holding Lotte Data Communication or give up 5.15% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 89.47% |
| Values | Daily Returns |
Lotte Data Communication vs. JC Chemical Co
Performance |
| Timeline |
| Lotte Data Communication |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| JC Chemical |
Lotte Data and JC Chemical Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lotte Data and JC Chemical
The main advantage of trading using opposite Lotte Data and JC Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, JC 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 JC Chemical will offset losses from the drop in JC Chemical's long position.| Lotte Data vs. SAMG Entertainment Co | Lotte Data vs. Shinhan Inverse Copper | Lotte Data vs. SEOWONINTECHCoLtd | Lotte Data vs. A Tech Solution Co |
| JC Chemical vs. Samsung Electronics Co | JC Chemical vs. SK Hynix | JC Chemical vs. LG Display | JC Chemical vs. KT Corporation |
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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