Correlation Between Cboe UK and WIG 30

Can any of the company-specific risk be diversified away by investing in both Cboe UK and WIG 30 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 WIG 30 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 WIG 30, you can compare the effects of market volatilities on Cboe UK and WIG 30 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 WIG 30. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cboe UK and WIG 30.

Diversification Opportunities for Cboe UK and WIG 30

0.66

Correlation Coefficient

Cboe UK  WIG 30

Poor diversification

The 3 months correlation between Cboe and WIG is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Cboe UK Consumer and WIG 30 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WIG 30 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 WIG 30. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WIG 30 has no effect on the direction of Cboe UK i.e., Cboe UK and WIG 30 go up and down completely randomly.

Pair Corralation between Cboe UK and WIG 30

Assuming the 90 days trading horizon Cboe UK Consumer is expected to under-perform the WIG 30. But the index apears to be less risky and, when comparing its historical volatility, Cboe UK Consumer is 1.25 times less risky than WIG 30. The index trades about -0.01 of its potential returns per unit of risk. The WIG 30 is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest  280,607  in WIG 30 on November 27, 2024 and sell it today you would earn a total of  46,771  from holding WIG 30 or generate 16.67% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	96.72%
Values	Daily Returns

Cboe UK Consumer  vs.  WIG 30

Pair Trading with Cboe UK and WIG 30

The main advantage of trading using opposite Cboe UK and WIG 30 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cboe UK position performs unexpectedly, WIG 30 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 WIG 30 will offset losses from the drop in WIG 30's long position.

The idea behind Cboe UK Consumer and WIG 30 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.