Correlation Between NEM and Polygon

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both NEM and Polygon 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 NEM and Polygon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NEM and Polygon, you can compare the effects of market volatilities on NEM and Polygon 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 NEM with a short position of Polygon. Check out your portfolio center. Please also check ongoing floating volatility patterns of NEM and Polygon.

Diversification Opportunities for NEM and Polygon

0.72
  Correlation Coefficient

Poor diversification

The 3 months correlation between NEM and Polygon is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding NEM and Polygon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polygon and NEM 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 NEM are associated (or correlated) with Polygon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polygon has no effect on the direction of NEM i.e., NEM and Polygon go up and down completely randomly.

Pair Corralation between NEM and Polygon

Assuming the 90 days trading horizon NEM is expected to generate 1.17 times more return on investment than Polygon. However, NEM is 1.17 times more volatile than Polygon. It trades about -0.19 of its potential returns per unit of risk. Polygon is currently generating about -0.3 per unit of risk. If you would invest  4.85  in NEM on January 20, 2024 and sell it today you would lose (1.26) from holding NEM or give up 25.98% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

NEM  vs.  Polygon

 Performance 
       Timeline  
NEM 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days NEM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound primary indicators, NEM is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
Polygon 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Polygon has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, Polygon is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

NEM and Polygon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NEM and Polygon

The main advantage of trading using opposite NEM and Polygon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NEM position performs unexpectedly, Polygon 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 Polygon will offset losses from the drop in Polygon's long position.
The idea behind NEM and Polygon 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 Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.

Other Complementary Tools

Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Equity Valuation
Check real value of public entities based on technical and fundamental data
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum