Correlation Between Goke Microelectronics and Shanghai 2345
Specify exactly 2 symbols:
By analyzing existing cross correlation between Goke Microelectronics Co and Shanghai 2345 Network, you can compare the effects of market volatilities on Goke Microelectronics and Shanghai 2345 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 Goke Microelectronics with a short position of Shanghai 2345. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goke Microelectronics and Shanghai 2345.
Diversification Opportunities for Goke Microelectronics and Shanghai 2345
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Goke and Shanghai is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Goke Microelectronics Co and Shanghai 2345 Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai 2345 Network and Goke Microelectronics 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 Goke Microelectronics Co are associated (or correlated) with Shanghai 2345. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai 2345 Network has no effect on the direction of Goke Microelectronics i.e., Goke Microelectronics and Shanghai 2345 go up and down completely randomly.
Pair Corralation between Goke Microelectronics and Shanghai 2345
Assuming the 90 days trading horizon Goke Microelectronics is expected to generate 45.13 times less return on investment than Shanghai 2345. But when comparing it to its historical volatility, Goke Microelectronics Co is 2.11 times less risky than Shanghai 2345. It trades about 0.0 of its potential returns per unit of risk. Shanghai 2345 Network is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 405.00 in Shanghai 2345 Network on October 3, 2024 and sell it today you would earn a total of 15.00 from holding Shanghai 2345 Network or generate 3.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Goke Microelectronics Co vs. Shanghai 2345 Network
Performance |
Timeline |
Goke Microelectronics |
Shanghai 2345 Network |
Goke Microelectronics and Shanghai 2345 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goke Microelectronics and Shanghai 2345
The main advantage of trading using opposite Goke Microelectronics and Shanghai 2345 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goke Microelectronics position performs unexpectedly, Shanghai 2345 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 Shanghai 2345 will offset losses from the drop in Shanghai 2345's long position.The idea behind Goke Microelectronics Co and Shanghai 2345 Network pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
Shanghai 2345 vs. Xinhua Winshare Publishing | Shanghai 2345 vs. Tibet Huayu Mining | Shanghai 2345 vs. Duzhe Publishing Media | Shanghai 2345 vs. Jiangsu Phoenix Publishing |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Other Complementary Tools
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |