Correlation Between Ontology and Big Time

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

Diversification Opportunities for Ontology and Big Time

0.43
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Ontology and Big is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and Big Time in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Time 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 Big Time. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Time has no effect on the direction of Ontology i.e., Ontology and Big Time go up and down completely randomly.

Pair Corralation between Ontology and Big Time

Assuming the 90 days trading horizon Ontology is expected to generate 0.72 times more return on investment than Big Time. However, Ontology is 1.39 times less risky than Big Time. It trades about -0.07 of its potential returns per unit of risk. Big Time is currently generating about -0.33 per unit of risk. If you would invest  24.00  in Ontology on November 1, 2024 and sell it today you would lose (2.00) from holding Ontology or give up 8.33% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy95.45%
ValuesDaily Returns

Ontology  vs.  Big Time

 Performance 
       Timeline  
Ontology 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Ontology are ranked lower than 6 (%) 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.
Big Time 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Big Time has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for Big Time shareholders.

Ontology and Big Time Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ontology and Big Time

The main advantage of trading using opposite Ontology and Big Time positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ontology position performs unexpectedly, Big Time 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 Big Time will offset losses from the drop in Big Time's long position.
The idea behind Ontology and Big Time 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

Other Complementary Tools

Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity