Correlation Between Lotte Data and SundayToz Corp
Can any of the company-specific risk be diversified away by investing in both Lotte Data and SundayToz Corp 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 SundayToz Corp 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 SundayToz Corp, you can compare the effects of market volatilities on Lotte Data and SundayToz Corp 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 SundayToz Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and SundayToz Corp.
Diversification Opportunities for Lotte Data and SundayToz Corp
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lotte and SundayToz is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and SundayToz Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SundayToz Corp 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 SundayToz Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SundayToz Corp has no effect on the direction of Lotte Data i.e., Lotte Data and SundayToz Corp go up and down completely randomly.
Pair Corralation between Lotte Data and SundayToz Corp
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 0.74 times more return on investment than SundayToz Corp. However, Lotte Data Communication is 1.34 times less risky than SundayToz Corp. It trades about 0.0 of its potential returns per unit of risk. SundayToz Corp is currently generating about -0.01 per unit of risk. If you would invest 2,496,189 in Lotte Data Communication on October 10, 2024 and sell it today you would lose (441,189) from holding Lotte Data Communication or give up 17.67% 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. SundayToz Corp
Performance |
Timeline |
Lotte Data Communication |
SundayToz Corp |
Lotte Data and SundayToz Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and SundayToz Corp
The main advantage of trading using opposite Lotte Data and SundayToz Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, SundayToz Corp 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 SundayToz Corp will offset losses from the drop in SundayToz Corp's long position.Lotte Data vs. Seoyon Topmetal Co | Lotte Data vs. Kukdo Chemical Co | Lotte Data vs. Lotte Fine Chemical | Lotte Data vs. Duksan Hi Metal |
SundayToz Corp vs. Sangsin Energy Display | SundayToz Corp vs. DoubleU Games Co | SundayToz Corp vs. Dongbang Transport Logistics | SundayToz Corp vs. Lotte Data Communication |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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