Correlation Between Shinkong Synthetic and Fu Burg
Can any of the company-specific risk be diversified away by investing in both Shinkong Synthetic and Fu Burg 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 Shinkong Synthetic and Fu Burg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shinkong Synthetic Fiber and Fu Burg Industrial, you can compare the effects of market volatilities on Shinkong Synthetic and Fu Burg 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 Shinkong Synthetic with a short position of Fu Burg. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinkong Synthetic and Fu Burg.
Diversification Opportunities for Shinkong Synthetic and Fu Burg
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Shinkong and 8929 is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Shinkong Synthetic Fiber and Fu Burg Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fu Burg Industrial and Shinkong Synthetic 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 Shinkong Synthetic Fiber are associated (or correlated) with Fu Burg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fu Burg Industrial has no effect on the direction of Shinkong Synthetic i.e., Shinkong Synthetic and Fu Burg go up and down completely randomly.
Pair Corralation between Shinkong Synthetic and Fu Burg
Assuming the 90 days trading horizon Shinkong Synthetic Fiber is expected to generate 0.17 times more return on investment than Fu Burg. However, Shinkong Synthetic Fiber is 5.8 times less risky than Fu Burg. It trades about -0.34 of its potential returns per unit of risk. Fu Burg Industrial is currently generating about -0.08 per unit of risk. If you would invest 1,590 in Shinkong Synthetic Fiber on September 26, 2024 and sell it today you would lose (90.00) from holding Shinkong Synthetic Fiber or give up 5.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Shinkong Synthetic Fiber vs. Fu Burg Industrial
Performance |
Timeline |
Shinkong Synthetic Fiber |
Fu Burg Industrial |
Shinkong Synthetic and Fu Burg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shinkong Synthetic and Fu Burg
The main advantage of trading using opposite Shinkong Synthetic and Fu Burg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinkong Synthetic position performs unexpectedly, Fu Burg 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 Fu Burg will offset losses from the drop in Fu Burg's long position.Shinkong Synthetic vs. Formosa Plastics Corp | Shinkong Synthetic vs. Formosa Chemicals Fibre | Shinkong Synthetic vs. China Steel Corp | Shinkong Synthetic vs. Formosa Petrochemical Corp |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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