Correlation Between Woorim Machinery and Koryo Credit
Can any of the company-specific risk be diversified away by investing in both Woorim Machinery 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 Woorim Machinery and Koryo Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Woorim Machinery Co and Koryo Credit Information, you can compare the effects of market volatilities on Woorim Machinery 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 Woorim Machinery with a short position of Koryo Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woorim Machinery and Koryo Credit.
Diversification Opportunities for Woorim Machinery and Koryo Credit
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Woorim and Koryo is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Woorim Machinery Co 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 Woorim Machinery 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 Woorim Machinery Co 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 Woorim Machinery i.e., Woorim Machinery and Koryo Credit go up and down completely randomly.
Pair Corralation between Woorim Machinery and Koryo Credit
Assuming the 90 days trading horizon Woorim Machinery Co is expected to generate 2.52 times more return on investment than Koryo Credit. However, Woorim Machinery is 2.52 times more volatile than Koryo Credit Information. It trades about 0.01 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 546,578 in Woorim Machinery Co on September 20, 2024 and sell it today you would lose (66,578) from holding Woorim Machinery Co or give up 12.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Woorim Machinery Co vs. Koryo Credit Information
Performance |
Timeline |
Woorim Machinery |
Koryo Credit Information |
Woorim Machinery and Koryo Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Woorim Machinery and Koryo Credit
The main advantage of trading using opposite Woorim Machinery and Koryo Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woorim Machinery 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.Woorim Machinery vs. Korea New Network | Woorim Machinery vs. Solution Advanced Technology | Woorim Machinery vs. Busan Industrial Co | Woorim Machinery vs. Busan Ind |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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