Correlation Between Daesung Hi and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Daesung Hi 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 Daesung Hi and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daesung Hi Tech Co and Lotte Data Communication, you can compare the effects of market volatilities on Daesung Hi 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 Daesung Hi with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daesung Hi and Lotte Data.
Diversification Opportunities for Daesung Hi and Lotte Data
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Daesung and Lotte is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Daesung Hi Tech Co 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 Daesung Hi 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 Daesung Hi Tech Co 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 Daesung Hi i.e., Daesung Hi and Lotte Data go up and down completely randomly.
Pair Corralation between Daesung Hi and Lotte Data
Assuming the 90 days trading horizon Daesung Hi Tech Co is expected to under-perform the Lotte Data. In addition to that, Daesung Hi is 1.23 times more volatile than Lotte Data Communication. It trades about -0.06 of its total potential returns per unit of risk. Lotte Data Communication is currently generating about 0.04 per unit of volatility. If you would invest 1,940,000 in Lotte Data Communication on October 6, 2024 and sell it today you would earn a total of 32,000 from holding Lotte Data Communication or generate 1.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Daesung Hi Tech Co vs. Lotte Data Communication
Performance |
Timeline |
Daesung Hi Tech |
Lotte Data Communication |
Daesung Hi and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daesung Hi and Lotte Data
The main advantage of trading using opposite Daesung Hi and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daesung Hi 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.Daesung Hi vs. Global Standard Technology | Daesung Hi vs. SK Telecom Co | Daesung Hi vs. Digital Power Communications | Daesung Hi vs. Nable Communications |
Lotte Data vs. SK Holdings Co | Lotte Data vs. JYP Entertainment | Lotte Data vs. Busan Industrial Co | Lotte Data vs. Busan Ind |
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 Global Correlations module to find global opportunities by holding instruments from different markets.
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