Correlation Between Ontology and CMT

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

Diversification Opportunities for Ontology and CMT

0.83
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Ontology and CMT is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and CMT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CMT 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 CMT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CMT has no effect on the direction of Ontology i.e., Ontology and CMT go up and down completely randomly.

Pair Corralation between Ontology and CMT

Assuming the 90 days trading horizon Ontology is expected to generate 1.48 times more return on investment than CMT. However, Ontology is 1.48 times more volatile than CMT. It trades about 0.21 of its potential returns per unit of risk. CMT is currently generating about 0.25 per unit of risk. If you would invest  16.00  in Ontology on September 1, 2024 and sell it today you would earn a total of  13.00  from holding Ontology or generate 81.25% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Ontology  vs.  CMT

 Performance 
       Timeline  
Ontology 

Risk-Adjusted Performance

16 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Ontology are ranked lower than 16 (%) 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.
CMT 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in CMT are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, CMT exhibited solid returns over the last few months and may actually be approaching a breakup point.

Ontology and CMT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ontology and CMT

The main advantage of trading using opposite Ontology and CMT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ontology position performs unexpectedly, CMT 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 CMT will offset losses from the drop in CMT's long position.
The idea behind Ontology and CMT 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

Other Complementary Tools

Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world