Correlation Between Incar Financial and Youngsin Metal
Can any of the company-specific risk be diversified away by investing in both Incar Financial and Youngsin Metal 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 Incar Financial and Youngsin Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Incar Financial Service and Youngsin Metal Industrial, you can compare the effects of market volatilities on Incar Financial and Youngsin Metal 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 Incar Financial with a short position of Youngsin Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Incar Financial and Youngsin Metal.
Diversification Opportunities for Incar Financial and Youngsin Metal
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Incar and Youngsin is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding Incar Financial Service and Youngsin Metal Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Youngsin Metal Industrial and Incar Financial 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 Incar Financial Service are associated (or correlated) with Youngsin Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Youngsin Metal Industrial has no effect on the direction of Incar Financial i.e., Incar Financial and Youngsin Metal go up and down completely randomly.
Pair Corralation between Incar Financial and Youngsin Metal
Assuming the 90 days trading horizon Incar Financial Service is expected to generate 0.96 times more return on investment than Youngsin Metal. However, Incar Financial Service is 1.04 times less risky than Youngsin Metal. It trades about 0.07 of its potential returns per unit of risk. Youngsin Metal Industrial is currently generating about -0.03 per unit of risk. If you would invest 515,000 in Incar Financial Service on September 21, 2024 and sell it today you would earn a total of 47,000 from holding Incar Financial Service or generate 9.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Incar Financial Service vs. Youngsin Metal Industrial
Performance |
Timeline |
Incar Financial Service |
Youngsin Metal Industrial |
Incar Financial and Youngsin Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Incar Financial and Youngsin Metal
The main advantage of trading using opposite Incar Financial and Youngsin Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Incar Financial position performs unexpectedly, Youngsin Metal 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 Youngsin Metal will offset losses from the drop in Youngsin Metal's long position.Incar Financial vs. Daejoo Electronic Materials | Incar Financial vs. Samick Musical Instruments | Incar Financial vs. KyungIn Electronics Co | Incar Financial vs. Anam Electronics Co |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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