Correlation Between Beijing Jiaman and Guangzhou KingTeller
Specify exactly 2 symbols:
By analyzing existing cross correlation between Beijing Jiaman Dress and Guangzhou KingTeller Technology, you can compare the effects of market volatilities on Beijing Jiaman and Guangzhou KingTeller 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 Beijing Jiaman with a short position of Guangzhou KingTeller. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing Jiaman and Guangzhou KingTeller.
Diversification Opportunities for Beijing Jiaman and Guangzhou KingTeller
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Beijing and Guangzhou is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Beijing Jiaman Dress and Guangzhou KingTeller Technolog in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangzhou KingTeller and Beijing Jiaman 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 Beijing Jiaman Dress are associated (or correlated) with Guangzhou KingTeller. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangzhou KingTeller has no effect on the direction of Beijing Jiaman i.e., Beijing Jiaman and Guangzhou KingTeller go up and down completely randomly.
Pair Corralation between Beijing Jiaman and Guangzhou KingTeller
Assuming the 90 days trading horizon Beijing Jiaman is expected to generate 3.07 times less return on investment than Guangzhou KingTeller. But when comparing it to its historical volatility, Beijing Jiaman Dress is 1.48 times less risky than Guangzhou KingTeller. It trades about 0.13 of its potential returns per unit of risk. Guangzhou KingTeller Technology is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 331.00 in Guangzhou KingTeller Technology on September 12, 2024 and sell it today you would earn a total of 307.00 from holding Guangzhou KingTeller Technology or generate 92.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Beijing Jiaman Dress vs. Guangzhou KingTeller Technolog
Performance |
Timeline |
Beijing Jiaman Dress |
Guangzhou KingTeller |
Beijing Jiaman and Guangzhou KingTeller Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beijing Jiaman and Guangzhou KingTeller
The main advantage of trading using opposite Beijing Jiaman and Guangzhou KingTeller positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing Jiaman position performs unexpectedly, Guangzhou KingTeller 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 Guangzhou KingTeller will offset losses from the drop in Guangzhou KingTeller's long position.Beijing Jiaman vs. Lutian Machinery Co | Beijing Jiaman vs. PetroChina Co Ltd | Beijing Jiaman vs. Bank of China | Beijing Jiaman vs. Gansu Jiu Steel |
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 Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Other Complementary Tools
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |