Correlation Between Ontology and Polygon

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

Diversification Opportunities for Ontology and Polygon

0.55
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Ontology and Polygon is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and Polygon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polygon and Ontology 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 Ontology 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 Ontology i.e., Ontology and Polygon go up and down completely randomly.

Pair Corralation between Ontology and Polygon

Assuming the 90 days trading horizon Ontology is expected to generate 1.93 times more return on investment than Polygon. However, Ontology is 1.93 times more volatile than Polygon. It trades about 0.12 of its potential returns per unit of risk. Polygon is currently generating about -0.28 per unit of risk. If you would invest  32.00  in Ontology on January 21, 2024 and sell it today you would earn a total of  5.00  from holding Ontology or generate 15.63% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Ontology  vs.  Polygon

 Performance 
       Timeline  
Ontology 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Ontology are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Ontology exhibited solid returns over the last few months and may actually be approaching a breakup point.
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.

Ontology and Polygon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ontology and Polygon

The main advantage of trading using opposite Ontology and Polygon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ontology 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 Ontology 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.
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

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