Correlation Between ISEQ 20 and Budapest

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both ISEQ 20 and Budapest 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 ISEQ 20 and Budapest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ISEQ 20 Price and Budapest SE, you can compare the effects of market volatilities on ISEQ 20 and Budapest 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 ISEQ 20 with a short position of Budapest. Check out your portfolio center. Please also check ongoing floating volatility patterns of ISEQ 20 and Budapest.

Diversification Opportunities for ISEQ 20 and Budapest

-0.29
  Correlation Coefficient

Very good diversification

The 3 months correlation between ISEQ and Budapest is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding ISEQ 20 Price and Budapest SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Budapest SE and ISEQ 20 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 ISEQ 20 Price are associated (or correlated) with Budapest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Budapest SE has no effect on the direction of ISEQ 20 i.e., ISEQ 20 and Budapest go up and down completely randomly.
    Optimize

Pair Corralation between ISEQ 20 and Budapest

Assuming the 90 days trading horizon ISEQ 20 Price is expected to under-perform the Budapest. In addition to that, ISEQ 20 is 1.35 times more volatile than Budapest SE. It trades about -0.06 of its total potential returns per unit of risk. Budapest SE is currently generating about 0.19 per unit of volatility. If you would invest  7,286,531  in Budapest SE on August 30, 2024 and sell it today you would earn a total of  616,869  from holding Budapest SE or generate 8.47% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy96.88%
ValuesDaily Returns

ISEQ 20 Price  vs.  Budapest SE

 Performance 
       Timeline  

ISEQ 20 and Budapest Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with ISEQ 20 and Budapest

The main advantage of trading using opposite ISEQ 20 and Budapest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ISEQ 20 position performs unexpectedly, Budapest 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 Budapest will offset losses from the drop in Budapest's long position.
The idea behind ISEQ 20 Price and Budapest SE 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.

Other Complementary Tools

My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk