Correlation Between 159681 and Shanxi Xishan
Specify exactly 2 symbols:
By analyzing existing cross correlation between 159681 and Shanxi Xishan Coal, you can compare the effects of market volatilities on 159681 and Shanxi Xishan 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 159681 with a short position of Shanxi Xishan. Check out your portfolio center. Please also check ongoing floating volatility patterns of 159681 and Shanxi Xishan.
Diversification Opportunities for 159681 and Shanxi Xishan
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 159681 and Shanxi is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding 159681 and Shanxi Xishan Coal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanxi Xishan Coal and 159681 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 159681 are associated (or correlated) with Shanxi Xishan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanxi Xishan Coal has no effect on the direction of 159681 i.e., 159681 and Shanxi Xishan go up and down completely randomly.
Pair Corralation between 159681 and Shanxi Xishan
Assuming the 90 days trading horizon 159681 is expected to generate 1.72 times more return on investment than Shanxi Xishan. However, 159681 is 1.72 times more volatile than Shanxi Xishan Coal. It trades about -0.05 of its potential returns per unit of risk. Shanxi Xishan Coal is currently generating about -0.12 per unit of risk. If you would invest 97.00 in 159681 on October 10, 2024 and sell it today you would lose (9.00) from holding 159681 or give up 9.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
159681 vs. Shanxi Xishan Coal
Performance |
Timeline |
159681 |
Shanxi Xishan Coal |
159681 and Shanxi Xishan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 159681 and Shanxi Xishan
The main advantage of trading using opposite 159681 and Shanxi Xishan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 159681 position performs unexpectedly, Shanxi Xishan 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 Shanxi Xishan will offset losses from the drop in Shanxi Xishan's long position.The idea behind 159681 and Shanxi Xishan Coal 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.Shanxi Xishan vs. Zhejiang Kingland Pipeline | Shanxi Xishan vs. Shanghai Broadband Technology | Shanxi Xishan vs. Ming Yang Smart | Shanxi Xishan vs. 159681 |
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
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Transaction History View history of all your transactions and understand their impact on performance | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |