Correlation Between Koryo Credit and Insung Information
Can any of the company-specific risk be diversified away by investing in both Koryo Credit and Insung Information 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 Koryo Credit and Insung Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koryo Credit Information and Insung Information Co, you can compare the effects of market volatilities on Koryo Credit and Insung Information 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 Koryo Credit with a short position of Insung Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koryo Credit and Insung Information.
Diversification Opportunities for Koryo Credit and Insung Information
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Koryo and Insung is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Koryo Credit Information and Insung Information Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insung Information and Koryo Credit 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 Koryo Credit Information are associated (or correlated) with Insung Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insung Information has no effect on the direction of Koryo Credit i.e., Koryo Credit and Insung Information go up and down completely randomly.
Pair Corralation between Koryo Credit and Insung Information
Assuming the 90 days trading horizon Koryo Credit Information is expected to generate 0.5 times more return on investment than Insung Information. However, Koryo Credit Information is 1.99 times less risky than Insung Information. It trades about 0.25 of its potential returns per unit of risk. Insung Information Co is currently generating about -0.16 per unit of risk. If you would invest 965,000 in Koryo Credit Information on August 31, 2024 and sell it today you would earn a total of 63,000 from holding Koryo Credit Information or generate 6.53% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Koryo Credit Information vs. Insung Information Co
Performance |
| Timeline |
| Koryo Credit Information |
| Insung Information |
Koryo Credit and Insung Information Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Koryo Credit and Insung Information
The main advantage of trading using opposite Koryo Credit and Insung Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koryo Credit position performs unexpectedly, Insung Information 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 Insung Information will offset losses from the drop in Insung Information's long position.| Koryo Credit vs. Korea New Network | Koryo Credit vs. ICD Co | Koryo Credit vs. DYPNF CoLtd | Koryo Credit vs. Busan Industrial Co |
| Insung Information vs. Dongsin Engineering Construction | Insung Information vs. Doosan Fuel Cell | Insung Information vs. Daishin Balance 1 | Insung Information vs. Total Soft Bank |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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