Correlation Between Learning Technologies and Discover Financial

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

Diversification Opportunities for Learning Technologies and Discover Financial

0.34
  Correlation Coefficient

Weak diversification

The 3 months correlation between Learning and Discover is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Learning Technologies Group and Discover Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Discover Financial and Learning Technologies 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 Learning Technologies Group are associated (or correlated) with Discover Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Discover Financial has no effect on the direction of Learning Technologies i.e., Learning Technologies and Discover Financial go up and down completely randomly.

Pair Corralation between Learning Technologies and Discover Financial

Assuming the 90 days trading horizon Learning Technologies Group is expected to under-perform the Discover Financial. But the stock apears to be less risky and, when comparing its historical volatility, Learning Technologies Group is 7.75 times less risky than Discover Financial. The stock trades about -0.26 of its potential returns per unit of risk. The Discover Financial Services is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  17,750  in Discover Financial Services on October 10, 2024 and sell it today you would lose (44.00) from holding Discover Financial Services or give up 0.25% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Learning Technologies Group  vs.  Discover Financial Services

 Performance 
       Timeline  
Learning Technologies 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Learning Technologies Group are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound technical and fundamental indicators, Learning Technologies is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.
Discover Financial 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Discover Financial Services are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady basic indicators, Discover Financial unveiled solid returns over the last few months and may actually be approaching a breakup point.

Learning Technologies and Discover Financial Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Learning Technologies and Discover Financial

The main advantage of trading using opposite Learning Technologies and Discover Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Learning Technologies position performs unexpectedly, Discover Financial 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 Discover Financial will offset losses from the drop in Discover Financial's long position.
The idea behind Learning Technologies Group and Discover Financial Services 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

Other Complementary Tools

Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk