Correlation Between Samsung Publishing and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Samsung Publishing 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 Samsung Publishing and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Publishing Co and Lotte Data Communication, you can compare the effects of market volatilities on Samsung Publishing 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 Samsung Publishing with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Publishing and Lotte Data.
Diversification Opportunities for Samsung Publishing and Lotte Data
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Lotte is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Publishing 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 Samsung Publishing 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 Samsung Publishing 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 Samsung Publishing i.e., Samsung Publishing and Lotte Data go up and down completely randomly.
Pair Corralation between Samsung Publishing and Lotte Data
Assuming the 90 days trading horizon Samsung Publishing Co is expected to generate 1.58 times more return on investment than Lotte Data. However, Samsung Publishing is 1.58 times more volatile than Lotte Data Communication. It trades about -0.03 of its potential returns per unit of risk. Lotte Data Communication is currently generating about -0.15 per unit of risk. If you would invest 1,537,000 in Samsung Publishing Co on September 3, 2024 and sell it today you would lose (147,000) from holding Samsung Publishing Co or give up 9.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Publishing Co vs. Lotte Data Communication
Performance |
Timeline |
Samsung Publishing |
Lotte Data Communication |
Samsung Publishing and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Publishing and Lotte Data
The main advantage of trading using opposite Samsung Publishing and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Publishing 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.Samsung Publishing vs. Sangsin Energy Display | Samsung Publishing vs. Samsung Life Insurance | Samsung Publishing vs. Dongbang Transport Logistics | Samsung Publishing vs. InfoBank |
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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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