Correlation Between Ontology and LAMB

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

Diversification Opportunities for Ontology and LAMB

0.7
  Correlation Coefficient

Poor diversification

The 3 months correlation between Ontology and LAMB is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and LAMB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LAMB 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 LAMB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LAMB has no effect on the direction of Ontology i.e., Ontology and LAMB go up and down completely randomly.

Pair Corralation between Ontology and LAMB

Assuming the 90 days trading horizon Ontology is expected to generate 0.92 times more return on investment than LAMB. However, Ontology is 1.08 times less risky than LAMB. It trades about 0.08 of its potential returns per unit of risk. LAMB is currently generating about -0.05 per unit of risk. If you would invest  34.00  in Ontology on February 6, 2024 and sell it today you would earn a total of  2.00  from holding Ontology or generate 5.88% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Ontology  vs.  LAMB

 Performance 
       Timeline  
Ontology 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Ontology are ranked lower than 10 (%) 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.
LAMB 

Risk-Adjusted Performance

18 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in LAMB are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, LAMB exhibited solid returns over the last few months and may actually be approaching a breakup point.

Ontology and LAMB Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ontology and LAMB

The main advantage of trading using opposite Ontology and LAMB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ontology position performs unexpectedly, LAMB 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 LAMB will offset losses from the drop in LAMB's long position.
The idea behind Ontology and LAMB 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

Other Complementary Tools

Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Fundamental Analysis
View fundamental data based on most recent published financial statements
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios