Correlation Between Skardin Industrial and Chung Lien
Can any of the company-specific risk be diversified away by investing in both Skardin Industrial and Chung Lien 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 Skardin Industrial and Chung Lien into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Skardin Industrial and Chung Lien Transportation, you can compare the effects of market volatilities on Skardin Industrial and Chung Lien 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 Skardin Industrial with a short position of Chung Lien. Check out your portfolio center. Please also check ongoing floating volatility patterns of Skardin Industrial and Chung Lien.
Diversification Opportunities for Skardin Industrial and Chung Lien
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Skardin and Chung is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Skardin Industrial and Chung Lien Transportation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Lien Transportation and Skardin Industrial 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 Skardin Industrial are associated (or correlated) with Chung Lien. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Lien Transportation has no effect on the direction of Skardin Industrial i.e., Skardin Industrial and Chung Lien go up and down completely randomly.
Pair Corralation between Skardin Industrial and Chung Lien
Assuming the 90 days trading horizon Skardin Industrial is expected to generate 8.4 times more return on investment than Chung Lien. However, Skardin Industrial is 8.4 times more volatile than Chung Lien Transportation. It trades about 0.0 of its potential returns per unit of risk. Chung Lien Transportation is currently generating about -0.02 per unit of risk. If you would invest 6,120 in Skardin Industrial on October 4, 2024 and sell it today you would lose (330.00) from holding Skardin Industrial or give up 5.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Skardin Industrial vs. Chung Lien Transportation
Performance |
Timeline |
Skardin Industrial |
Chung Lien Transportation |
Skardin Industrial and Chung Lien Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Skardin Industrial and Chung Lien
The main advantage of trading using opposite Skardin Industrial and Chung Lien positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Skardin Industrial position performs unexpectedly, Chung Lien 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 Chung Lien will offset losses from the drop in Chung Lien's long position.Skardin Industrial vs. U Media Communications | Skardin Industrial vs. Genovate Biotechnology Co | Skardin Industrial vs. Great Computer | Skardin Industrial vs. Compal Broadband Networks |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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