Correlation Between Lotte Data and Koryo Credit
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Koryo Credit 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 Koryo Credit 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 Koryo Credit Information, you can compare the effects of market volatilities on Lotte Data and Koryo Credit 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 Koryo Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Koryo Credit.
Diversification Opportunities for Lotte Data and Koryo Credit
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lotte and Koryo is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Koryo Credit Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koryo Credit Information 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 Koryo Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koryo Credit Information has no effect on the direction of Lotte Data i.e., Lotte Data and Koryo Credit go up and down completely randomly.
Pair Corralation between Lotte Data and Koryo Credit
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 2.2 times more return on investment than Koryo Credit. However, Lotte Data is 2.2 times more volatile than Koryo Credit Information. It trades about 0.0 of its potential returns per unit of risk. Koryo Credit Information is currently generating about 0.01 per unit of risk. If you would invest 2,314,380 in Lotte Data Communication on September 20, 2024 and sell it today you would lose (350,380) from holding Lotte Data Communication or give up 15.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Koryo Credit Information
Performance |
Timeline |
Lotte Data Communication |
Koryo Credit Information |
Lotte Data and Koryo Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Koryo Credit
The main advantage of trading using opposite Lotte Data and Koryo Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Koryo Credit 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 Koryo Credit will offset losses from the drop in Koryo Credit's long position.Lotte Data vs. BIT Computer Co | Lotte Data vs. Samyang Foods Co | Lotte Data vs. Sempio Foods Co | Lotte Data vs. Ssangyong Information Communication |
Koryo Credit vs. CKH Food Health | Koryo Credit vs. BGF Retail Co | Koryo Credit vs. Shinsegae Food | Koryo Credit vs. Korean Reinsurance Co |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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