Correlation Between Contextlogic and Coursera

Can any of the company-specific risk be diversified away by investing in both Contextlogic and Coursera 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 Contextlogic and Coursera into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Contextlogic and Coursera, you can compare the effects of market volatilities on Contextlogic and Coursera 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 Contextlogic with a short position of Coursera. Check out your portfolio center. Please also check ongoing floating volatility patterns of Contextlogic and Coursera.

Diversification Opportunities for Contextlogic and Coursera

0.13

Correlation Coefficient

Contextlogic  Coursera

Average diversification

The 3 months correlation between Contextlogic and Coursera is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Contextlogic and Coursera in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coursera and Contextlogic 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 Contextlogic are associated (or correlated) with Coursera. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coursera has no effect on the direction of Contextlogic i.e., Contextlogic and Coursera go up and down completely randomly.

Pair Corralation between Contextlogic and Coursera

Given the investment horizon of 90 days Contextlogic is expected to generate 3.13 times more return on investment than Coursera. However, Contextlogic is 3.13 times more volatile than Coursera. It trades about 0.07 of its potential returns per unit of risk. Coursera is currently generating about -0.09 per unit of risk. If you would invest  722.00  in Contextlogic on April 9, 2025 and sell it today you would earn a total of  17.00  from holding Contextlogic or generate 2.35% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	50.0%
Values	Daily Returns

Contextlogic  vs.  Coursera

Contextlogic

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Contextlogic are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Contextlogic may actually be approaching a critical reversion point that can send shares even higher in August 2025.

Coursera

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Coursera are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Even with relatively inconsistent basic indicators, Coursera reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Contextlogic and Coursera

The main advantage of trading using opposite Contextlogic and Coursera positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Contextlogic position performs unexpectedly, Coursera 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 Coursera will offset losses from the drop in Coursera's long position.

The idea behind Contextlogic and Coursera 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.

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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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.