Correlation Between Ningxia Building and Jiugui Liquor
Specify exactly 2 symbols:
By analyzing existing cross correlation between Ningxia Building Materials and Jiugui Liquor Co, you can compare the effects of market volatilities on Ningxia Building and Jiugui Liquor 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 Ningxia Building with a short position of Jiugui Liquor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ningxia Building and Jiugui Liquor.
Diversification Opportunities for Ningxia Building and Jiugui Liquor
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Ningxia and Jiugui is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Ningxia Building Materials and Jiugui Liquor Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiugui Liquor and Ningxia Building 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 Ningxia Building Materials are associated (or correlated) with Jiugui Liquor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiugui Liquor has no effect on the direction of Ningxia Building i.e., Ningxia Building and Jiugui Liquor go up and down completely randomly.
Pair Corralation between Ningxia Building and Jiugui Liquor
Assuming the 90 days trading horizon Ningxia Building Materials is expected to generate 1.25 times more return on investment than Jiugui Liquor. However, Ningxia Building is 1.25 times more volatile than Jiugui Liquor Co. It trades about 0.03 of its potential returns per unit of risk. Jiugui Liquor Co is currently generating about -0.06 per unit of risk. If you would invest 1,163 in Ningxia Building Materials on September 26, 2024 and sell it today you would earn a total of 326.00 from holding Ningxia Building Materials or generate 28.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ningxia Building Materials vs. Jiugui Liquor Co
Performance |
Timeline |
Ningxia Building Mat |
Jiugui Liquor |
Ningxia Building and Jiugui Liquor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ningxia Building and Jiugui Liquor
The main advantage of trading using opposite Ningxia Building and Jiugui Liquor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ningxia Building position performs unexpectedly, Jiugui Liquor 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 Jiugui Liquor will offset losses from the drop in Jiugui Liquor's long position.Ningxia Building vs. Zijin Mining Group | Ningxia Building vs. Wanhua Chemical Group | Ningxia Building vs. Baoshan Iron Steel | Ningxia Building vs. Shandong Gold Mining |
Jiugui Liquor vs. PetroChina Co Ltd | Jiugui Liquor vs. China Mobile Limited | Jiugui Liquor vs. CNOOC Limited | Jiugui Liquor vs. Ping An Insurance |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Fundamental Analysis View fundamental data based on most recent published financial statements |