Correlation Between Jb Financial and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Jb Financial and Lotte Data 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 Jb Financial and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jb Financial and Lotte Data Communication, you can compare the effects of market volatilities on Jb Financial and Lotte Data 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 Jb Financial with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jb Financial and Lotte Data.
Diversification Opportunities for Jb Financial and Lotte Data
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between 175330 and Lotte is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Jb Financial and Lotte Data Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Data Communication and Jb Financial 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 Jb Financial are associated (or correlated) with Lotte Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Data Communication has no effect on the direction of Jb Financial i.e., Jb Financial and Lotte Data go up and down completely randomly.
Pair Corralation between Jb Financial and Lotte Data
Assuming the 90 days trading horizon Jb Financial is expected to under-perform the Lotte Data. But the stock apears to be less risky and, when comparing its historical volatility, Jb Financial is 1.22 times less risky than Lotte Data. The stock trades about -0.01 of its potential returns per unit of risk. The Lotte Data Communication is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,986,000 in Lotte Data Communication on October 17, 2024 and sell it today you would earn a total of 54,000 from holding Lotte Data Communication or generate 2.72% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Jb Financial vs. Lotte Data Communication
Performance |
| Timeline |
| Jb Financial |
| Lotte Data Communication |
Jb Financial and Lotte Data Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Jb Financial and Lotte Data
The main advantage of trading using opposite Jb Financial and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jb Financial position performs unexpectedly, Lotte Data 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 Data will offset losses from the drop in Lotte Data's long position.| Jb Financial vs. BNK Financial Group | Jb Financial vs. Daiyang Metal Co | Jb Financial vs. Industrial Bank | Jb Financial vs. MetaLabs Co |
| Lotte Data vs. FoodNamoo | Lotte Data vs. Daejung Chemicals Metals | Lotte Data vs. Dongil Metal Co | Lotte Data vs. Hanjoo Light Metal |
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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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