Correlation Between Polygon and IOTA

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

Diversification Opportunities for Polygon and IOTA

0.9
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Polygon and IOTA is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and IOTA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IOTA and Polygon 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 Polygon are associated (or correlated) with IOTA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IOTA has no effect on the direction of Polygon i.e., Polygon and IOTA go up and down completely randomly.

Pair Corralation between Polygon and IOTA

Assuming the 90 days trading horizon Polygon is expected to generate 1.03 times more return on investment than IOTA. However, Polygon is 1.03 times more volatile than IOTA. It trades about -0.27 of its potential returns per unit of risk. IOTA is currently generating about -0.34 per unit of risk. If you would invest  105.00  in Polygon on January 24, 2024 and sell it today you would lose (32.00) from holding Polygon or give up 30.48% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Polygon  vs.  IOTA

 Performance 
       Timeline  
Polygon 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Polygon are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Polygon may actually be approaching a critical reversion point that can send shares even higher in May 2024.
IOTA 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in IOTA are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, IOTA may actually be approaching a critical reversion point that can send shares even higher in May 2024.

Polygon and IOTA Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon and IOTA

The main advantage of trading using opposite Polygon and IOTA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, IOTA 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 IOTA will offset losses from the drop in IOTA's long position.
The idea behind Polygon and IOTA 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

Other Complementary Tools

Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
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
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals