Correlation Between Dongbang Ship and Pan Entertainment
Can any of the company-specific risk be diversified away by investing in both Dongbang Ship and Pan Entertainment 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 Dongbang Ship and Pan Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbang Ship Machinery and Pan Entertainment Co, you can compare the effects of market volatilities on Dongbang Ship and Pan Entertainment 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 Dongbang Ship with a short position of Pan Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Ship and Pan Entertainment.
Diversification Opportunities for Dongbang Ship and Pan Entertainment
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dongbang and Pan is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Ship Machinery and Pan Entertainment Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pan Entertainment and Dongbang Ship 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 Dongbang Ship Machinery are associated (or correlated) with Pan Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pan Entertainment has no effect on the direction of Dongbang Ship i.e., Dongbang Ship and Pan Entertainment go up and down completely randomly.
Pair Corralation between Dongbang Ship and Pan Entertainment
Assuming the 90 days trading horizon Dongbang Ship Machinery is expected to generate 1.51 times more return on investment than Pan Entertainment. However, Dongbang Ship is 1.51 times more volatile than Pan Entertainment Co. It trades about 0.21 of its potential returns per unit of risk. Pan Entertainment Co is currently generating about 0.29 per unit of risk. If you would invest 267,500 in Dongbang Ship Machinery on October 9, 2024 and sell it today you would earn a total of 43,500 from holding Dongbang Ship Machinery or generate 16.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbang Ship Machinery vs. Pan Entertainment Co
Performance |
Timeline |
Dongbang Ship Machinery |
Pan Entertainment |
Dongbang Ship and Pan Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Ship and Pan Entertainment
The main advantage of trading using opposite Dongbang Ship and Pan Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Ship position performs unexpectedly, Pan Entertainment 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 Pan Entertainment will offset losses from the drop in Pan Entertainment's long position.Dongbang Ship vs. Woori Financial Group | Dongbang Ship vs. Jb Financial | Dongbang Ship vs. Nh Investment And | Dongbang Ship vs. Hyundai Heavy Industries |
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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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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