Correlation Between MINCO SILVER and ANGANG STEEL

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both MINCO SILVER and ANGANG STEEL at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining MINCO SILVER and ANGANG STEEL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MINCO SILVER and ANGANG STEEL H , you can compare the effects of market volatilities on MINCO SILVER and ANGANG STEEL 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 MINCO SILVER with a short position of ANGANG STEEL. Check out your portfolio center. Please also check ongoing floating volatility patterns of MINCO SILVER and ANGANG STEEL.

Diversification Opportunities for MINCO SILVER and ANGANG STEEL

MINCOANGANGDiversified AwayMINCOANGANGDiversified Away100%
0.44
  Correlation Coefficient

Very weak diversification

The 3 months correlation between MINCO and ANGANG is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding MINCO SILVER and ANGANG STEEL H in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ANGANG STEEL H and MINCO SILVER 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 MINCO SILVER are associated (or correlated) with ANGANG STEEL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ANGANG STEEL H has no effect on the direction of MINCO SILVER i.e., MINCO SILVER and ANGANG STEEL go up and down completely randomly.

Pair Corralation between MINCO SILVER and ANGANG STEEL

Assuming the 90 days trading horizon MINCO SILVER is expected to generate 1.03 times more return on investment than ANGANG STEEL. However, MINCO SILVER is 1.03 times more volatile than ANGANG STEEL H . It trades about 0.02 of its potential returns per unit of risk. ANGANG STEEL H is currently generating about 0.01 per unit of risk. If you would invest  14.00  in MINCO SILVER on December 11, 2024 and sell it today you would earn a total of  0.00  from holding MINCO SILVER or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

MINCO SILVER  vs.  ANGANG STEEL H

 Performance 
JavaScript chart by amCharts 3.21.15Dec2025Feb -1001020
JavaScript chart by amCharts 3.21.15XYD GNV
       Timeline  
MINCO SILVER 

Risk-Adjusted Performance

Modest

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in MINCO SILVER are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile fundamental indicators, MINCO SILVER unveiled solid returns over the last few months and may actually be approaching a breakup point.
JavaScript chart by amCharts 3.21.15JanFebMarFebMar0.110.120.130.140.150.16
ANGANG STEEL H 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in ANGANG STEEL H are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, ANGANG STEEL unveiled solid returns over the last few months and may actually be approaching a breakup point.
JavaScript chart by amCharts 3.21.15JanFebMarFebMar0.170.180.190.20.210.220.230.24

MINCO SILVER and ANGANG STEEL Volatility Contrast

   Predicted Return Density   
JavaScript chart by amCharts 3.21.15-14.42-10.8-7.18-3.560.06033.627.3711.1214.8718.61 0.0100.0150.0200.0250.030
JavaScript chart by amCharts 3.21.15XYD GNV
       Returns  

Pair Trading with MINCO SILVER and ANGANG STEEL

The main advantage of trading using opposite MINCO SILVER and ANGANG STEEL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MINCO SILVER position performs unexpectedly, ANGANG STEEL 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 ANGANG STEEL will offset losses from the drop in ANGANG STEEL's long position.
The idea behind MINCO SILVER and ANGANG STEEL H 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.
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

Other Complementary Tools

Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk