Correlation Between Lotte Data and BGF Retail
Can any of the company-specific risk be diversified away by investing in both Lotte Data and BGF Retail 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 BGF Retail 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 BGF Retail Co, you can compare the effects of market volatilities on Lotte Data and BGF Retail 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 BGF Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and BGF Retail.
Diversification Opportunities for Lotte Data and BGF Retail
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lotte and BGF is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and BGF Retail Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BGF Retail 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 BGF Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BGF Retail has no effect on the direction of Lotte Data i.e., Lotte Data and BGF Retail go up and down completely randomly.
Pair Corralation between Lotte Data and BGF Retail
Assuming the 90 days trading horizon Lotte Data is expected to generate 36.23 times less return on investment than BGF Retail. In addition to that, Lotte Data is 1.18 times more volatile than BGF Retail Co. It trades about 0.0 of its total potential returns per unit of risk. BGF Retail Co is currently generating about 0.11 per unit of volatility. If you would invest 10,348,300 in BGF Retail Co on December 23, 2024 and sell it today you would earn a total of 931,700 from holding BGF Retail Co or generate 9.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. BGF Retail Co
Performance |
Timeline |
Lotte Data Communication |
BGF Retail |
Lotte Data and BGF Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and BGF Retail
The main advantage of trading using opposite Lotte Data and BGF Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, BGF Retail 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 BGF Retail will offset losses from the drop in BGF Retail's long position.Lotte Data vs. Korea Shipbuilding Offshore | Lotte Data vs. Taeyang Metal Industrial | Lotte Data vs. DataSolution | Lotte Data vs. SCI Information Service |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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