Correlation Between Cboe UK and Made Tech

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

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

Diversification Opportunities for Cboe UK and Made Tech

0.86

Correlation Coefficient

Cboe UK  Made Tech

Very poor diversification

The 3 months correlation between Cboe and Made is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Cboe UK Consumer and Made Tech Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Made Tech Group and Cboe UK 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 Cboe UK Consumer are associated (or correlated) with Made Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Made Tech Group has no effect on the direction of Cboe UK i.e., Cboe UK and Made Tech go up and down completely randomly.

Pair Corralation between Cboe UK and Made Tech

Assuming the 90 days trading horizon Cboe UK is expected to generate 2.48 times less return on investment than Made Tech. But when comparing it to its historical volatility, Cboe UK Consumer is 3.67 times less risky than Made Tech. It trades about 0.3 of its potential returns per unit of risk. Made Tech Group is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest  2,450  in Made Tech Group on April 24, 2025 and sell it today you would earn a total of  1,075  from holding Made Tech Group or generate 43.88% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	96.88%
Values	Daily Returns

Cboe UK Consumer  vs.  Made Tech Group

Pair Trading with Cboe UK and Made Tech

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

The idea behind Cboe UK Consumer and Made Tech Group 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.