Correlation Between Panda Financial and Gansu Huangtai
Specify exactly 2 symbols:
By analyzing existing cross correlation between Panda Financial Holding and Gansu Huangtai Wine marketing, you can compare the effects of market volatilities on Panda Financial and Gansu Huangtai 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 Panda Financial with a short position of Gansu Huangtai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Panda Financial and Gansu Huangtai.
Diversification Opportunities for Panda Financial and Gansu Huangtai
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Panda and Gansu is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Panda Financial Holding and Gansu Huangtai Wine marketing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gansu Huangtai Wine and Panda Financial 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 Panda Financial Holding are associated (or correlated) with Gansu Huangtai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gansu Huangtai Wine has no effect on the direction of Panda Financial i.e., Panda Financial and Gansu Huangtai go up and down completely randomly.
Pair Corralation between Panda Financial and Gansu Huangtai
Assuming the 90 days trading horizon Panda Financial Holding is expected to under-perform the Gansu Huangtai. But the stock apears to be less risky and, when comparing its historical volatility, Panda Financial Holding is 1.26 times less risky than Gansu Huangtai. The stock trades about -0.11 of its potential returns per unit of risk. The Gansu Huangtai Wine marketing is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 1,507 in Gansu Huangtai Wine marketing on December 25, 2024 and sell it today you would lose (204.00) from holding Gansu Huangtai Wine marketing or give up 13.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Panda Financial Holding vs. Gansu Huangtai Wine marketing
Performance |
Timeline |
Panda Financial Holding |
Gansu Huangtai Wine |
Panda Financial and Gansu Huangtai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Panda Financial and Gansu Huangtai
The main advantage of trading using opposite Panda Financial and Gansu Huangtai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Panda Financial position performs unexpectedly, Gansu Huangtai 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 Gansu Huangtai will offset losses from the drop in Gansu Huangtai's long position.Panda Financial vs. Shengda Mining Co | Panda Financial vs. Jason Furniture | Panda Financial vs. Xinjiang Baodi Mining | Panda Financial vs. Nanjing OLO Home |
Gansu Huangtai vs. Tianjin Pengling Rubber | Gansu Huangtai vs. Hangzhou Juheshun New | Gansu Huangtai vs. Ningbo Tip Rubber | Gansu Huangtai vs. Western Metal Materials |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Other Complementary Tools
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Stocks Directory Find actively traded stocks across global markets | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |