Correlation Between IDX 30 and OMX Helsinki

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both IDX 30 and OMX Helsinki 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 IDX 30 and OMX Helsinki into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IDX 30 Jakarta and OMX Helsinki 25, you can compare the effects of market volatilities on IDX 30 and OMX Helsinki 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 IDX 30 with a short position of OMX Helsinki. Check out your portfolio center. Please also check ongoing floating volatility patterns of IDX 30 and OMX Helsinki.

Diversification Opportunities for IDX 30 and OMX Helsinki

0.82
  Correlation Coefficient

Very poor diversification

The 3 months correlation between IDX and OMX is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding IDX 30 Jakarta and OMX Helsinki 25 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OMX Helsinki 25 and IDX 30 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 IDX 30 Jakarta are associated (or correlated) with OMX Helsinki. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OMX Helsinki 25 has no effect on the direction of IDX 30 i.e., IDX 30 and OMX Helsinki go up and down completely randomly.
    Optimize

Pair Corralation between IDX 30 and OMX Helsinki

Assuming the 90 days trading horizon IDX 30 Jakarta is expected to generate 1.14 times more return on investment than OMX Helsinki. However, IDX 30 is 1.14 times more volatile than OMX Helsinki 25. It trades about 0.0 of its potential returns per unit of risk. OMX Helsinki 25 is currently generating about -0.06 per unit of risk. If you would invest  44,261  in IDX 30 Jakarta on September 1, 2024 and sell it today you would lose (388.00) from holding IDX 30 Jakarta or give up 0.88% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy96.92%
ValuesDaily Returns

IDX 30 Jakarta  vs.  OMX Helsinki 25

 Performance 
       Timeline  

IDX 30 and OMX Helsinki Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with IDX 30 and OMX Helsinki

The main advantage of trading using opposite IDX 30 and OMX Helsinki positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IDX 30 position performs unexpectedly, OMX Helsinki 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 OMX Helsinki will offset losses from the drop in OMX Helsinki's long position.
The idea behind IDX 30 Jakarta and OMX Helsinki 25 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Other Complementary Tools

Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Share Portfolio
Track or share privately all of your investments from the convenience of any device