Correlation Between OneSavings Bank and Cboe UK

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

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

Diversification Opportunities for OneSavings Bank and Cboe UK

0.59

Correlation Coefficient

OneSavings Bank  Cboe UK

Very weak diversification

The 3 months correlation between OneSavings and Cboe is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding OneSavings Bank PLC and Cboe UK Consumer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cboe UK Consumer and OneSavings Bank 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 OneSavings Bank PLC are associated (or correlated) with Cboe UK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cboe UK Consumer has no effect on the direction of OneSavings Bank i.e., OneSavings Bank and Cboe UK go up and down completely randomly.

Pair Corralation between OneSavings Bank and Cboe UK

Assuming the 90 days trading horizon OneSavings Bank PLC is expected to generate 2.51 times more return on investment than Cboe UK. However, OneSavings Bank is 2.51 times more volatile than Cboe UK Consumer. It trades about 0.07 of its potential returns per unit of risk. Cboe UK Consumer is currently generating about 0.08 per unit of risk. If you would invest  38,240  in OneSavings Bank PLC on September 21, 2024 and sell it today you would earn a total of  1,060  from holding OneSavings Bank PLC or generate 2.77% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

OneSavings Bank PLC  vs.  Cboe UK Consumer

Pair Trading with OneSavings Bank and Cboe UK

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

The idea behind OneSavings Bank PLC and Cboe UK Consumer 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .