Correlation Between Applied Opt and InTest

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

Diversification Opportunities for Applied Opt and InTest

0.8
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Applied and InTest is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Applied Opt and inTest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on inTest and Applied Opt 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 Applied Opt are associated (or correlated) with InTest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of inTest has no effect on the direction of Applied Opt i.e., Applied Opt and InTest go up and down completely randomly.

Pair Corralation between Applied Opt and InTest

Given the investment horizon of 90 days Applied Opt is expected to generate 1.96 times more return on investment than InTest. However, Applied Opt is 1.96 times more volatile than inTest. It trades about 0.29 of its potential returns per unit of risk. inTest is currently generating about 0.12 per unit of risk. If you would invest  1,005  in Applied Opt on April 20, 2025 and sell it today you would earn a total of  1,858  from holding Applied Opt or generate 184.88% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Applied Opt  vs.  inTest

 Performance 
       Timeline  
Applied Opt 

Risk-Adjusted Performance

Solid

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Applied Opt are ranked lower than 22 (%) of all global equities and portfolios over the last 90 days. Despite fairly unfluctuating basic indicators, Applied Opt demonstrated solid returns over the last few months and may actually be approaching a breakup point.
inTest 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in inTest are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, InTest unveiled solid returns over the last few months and may actually be approaching a breakup point.

Applied Opt and InTest Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Applied Opt and InTest

The main advantage of trading using opposite Applied Opt and InTest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Opt position performs unexpectedly, InTest 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 InTest will offset losses from the drop in InTest's long position.
The idea behind Applied Opt and inTest 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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.

Other Complementary Tools

Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges