Correlation Between Cboe UK and OTP Bank

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

Diversification Opportunities for Cboe UK and OTP Bank

0.08
  Correlation Coefficient

Significant diversification

The 3 months correlation between Cboe and OTP is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Cboe UK Consumer and OTP Bank Nyrt in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OTP Bank Nyrt 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 OTP Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OTP Bank Nyrt has no effect on the direction of Cboe UK i.e., Cboe UK and OTP Bank go up and down completely randomly.
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Pair Corralation between Cboe UK and OTP Bank

Assuming the 90 days trading horizon Cboe UK is expected to generate 1.56 times less return on investment than OTP Bank. But when comparing it to its historical volatility, Cboe UK Consumer is 5.0 times less risky than OTP Bank. It trades about 0.08 of its potential returns per unit of risk. OTP Bank Nyrt is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest  1,176,324  in OTP Bank Nyrt on August 24, 2024 and sell it today you would earn a total of  82,676  from holding OTP Bank Nyrt or generate 7.03% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy98.22%
ValuesDaily Returns

Cboe UK Consumer  vs.  OTP Bank Nyrt

 Performance 
       Timeline  

Cboe UK and OTP Bank Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Cboe UK and OTP Bank

The main advantage of trading using opposite Cboe UK and OTP Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cboe UK position performs unexpectedly, OTP Bank 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 OTP Bank will offset losses from the drop in OTP Bank's long position.
The idea behind Cboe UK Consumer and OTP Bank Nyrt 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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