Correlation Between Ontology and BTS

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

Diversification Opportunities for Ontology and BTS

0.42
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Ontology and BTS is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and BTS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BTS 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 BTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BTS has no effect on the direction of Ontology i.e., Ontology and BTS go up and down completely randomly.

Pair Corralation between Ontology and BTS

Assuming the 90 days trading horizon Ontology is expected to generate 1.34 times more return on investment than BTS. However, Ontology is 1.34 times more volatile than BTS. It trades about 0.16 of its potential returns per unit of risk. BTS is currently generating about -0.08 per unit of risk. If you would invest  37.00  in Ontology on January 24, 2024 and sell it today you would earn a total of  11.00  from holding Ontology or generate 29.73% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Ontology  vs.  BTS

 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.
BTS 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Very Weak
Compared to the overall equity markets, risk-adjusted returns on investments in BTS are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, BTS may actually be approaching a critical reversion point that can send shares even higher in May 2024.

Ontology and BTS Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ontology and BTS

The main advantage of trading using opposite Ontology and BTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ontology position performs unexpectedly, BTS 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 BTS will offset losses from the drop in BTS's long position.
The idea behind Ontology and BTS 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.

Other Complementary Tools

Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Stocks Directory
Find actively traded stocks across global markets
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities