Correlation Between Lotte Data and PJ Metal
Can any of the company-specific risk be diversified away by investing in both Lotte Data and PJ Metal 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 PJ Metal 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 PJ Metal Co, you can compare the effects of market volatilities on Lotte Data and PJ Metal 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 PJ Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and PJ Metal.
Diversification Opportunities for Lotte Data and PJ Metal
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lotte and 128660 is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and PJ Metal Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PJ Metal 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 PJ Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PJ Metal has no effect on the direction of Lotte Data i.e., Lotte Data and PJ Metal go up and down completely randomly.
Pair Corralation between Lotte Data and PJ Metal
Assuming the 90 days trading horizon Lotte Data Communication is expected to under-perform the PJ Metal. In addition to that, Lotte Data is 3.28 times more volatile than PJ Metal Co. It trades about -0.26 of its total potential returns per unit of risk. PJ Metal Co is currently generating about -0.34 per unit of volatility. If you would invest 303,500 in PJ Metal Co on November 6, 2024 and sell it today you would lose (8,500) from holding PJ Metal Co or give up 2.8% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lotte Data Communication vs. PJ Metal Co
Performance |
| Timeline |
| Lotte Data Communication |
| PJ Metal |
Lotte Data and PJ Metal Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lotte Data and PJ Metal
The main advantage of trading using opposite Lotte Data and PJ Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, PJ Metal 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 PJ Metal will offset losses from the drop in PJ Metal's long position.| Lotte Data vs. Yura Tech Co | Lotte Data vs. Woori Technology | Lotte Data vs. Korea Information Engineering | Lotte Data vs. FNSTech Co |
| PJ Metal vs. Lotte Non Life Insurance | PJ Metal vs. Daishin Information Communications | PJ Metal vs. Samlip General Foods | PJ Metal vs. Haitai Confectionery Foods |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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