Correlation Between Fujian Longzhou and Metallurgical
Specify exactly 2 symbols:
By analyzing existing cross correlation between Fujian Longzhou Transportation and Metallurgical of, you can compare the effects of market volatilities on Fujian Longzhou and Metallurgical 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 Fujian Longzhou with a short position of Metallurgical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fujian Longzhou and Metallurgical.
Diversification Opportunities for Fujian Longzhou and Metallurgical
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fujian and Metallurgical is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Fujian Longzhou Transportation and Metallurgical of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metallurgical and Fujian Longzhou 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 Fujian Longzhou Transportation are associated (or correlated) with Metallurgical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metallurgical has no effect on the direction of Fujian Longzhou i.e., Fujian Longzhou and Metallurgical go up and down completely randomly.
Pair Corralation between Fujian Longzhou and Metallurgical
Assuming the 90 days trading horizon Fujian Longzhou Transportation is expected to under-perform the Metallurgical. In addition to that, Fujian Longzhou is 2.11 times more volatile than Metallurgical of. It trades about -0.13 of its total potential returns per unit of risk. Metallurgical of is currently generating about -0.14 per unit of volatility. If you would invest 350.00 in Metallurgical of on October 11, 2024 and sell it today you would lose (39.00) from holding Metallurgical of or give up 11.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fujian Longzhou Transportation vs. Metallurgical of
Performance |
Timeline |
Fujian Longzhou Tran |
Metallurgical |
Fujian Longzhou and Metallurgical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fujian Longzhou and Metallurgical
The main advantage of trading using opposite Fujian Longzhou and Metallurgical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fujian Longzhou position performs unexpectedly, Metallurgical 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 Metallurgical will offset losses from the drop in Metallurgical's long position.Fujian Longzhou vs. AVCON Information Tech | Fujian Longzhou vs. CITIC Guoan Information | Fujian Longzhou vs. Sublime China Information | Fujian Longzhou vs. Digital China Information |
Metallurgical vs. Yuanjie Semiconductor Technology | Metallurgical vs. Southchip Semiconductor Technology | Metallurgical vs. GigaDevice SemiconductorBeiji | Metallurgical vs. Shenzhen Bioeasy Biotechnology |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities |