Correlation Between ING Bank and AC SA

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Can any of the company-specific risk be diversified away by investing in both ING Bank and AC SA 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 ING Bank and AC SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ING Bank lski and AC SA, you can compare the effects of market volatilities on ING Bank and AC SA 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 ING Bank with a short position of AC SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of ING Bank and AC SA.

Diversification Opportunities for ING Bank and AC SA

-0.32
  Correlation Coefficient

Very good diversification

The 3 months correlation between ING and ACG is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding ING Bank lski and AC SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AC SA and ING 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 ING Bank lski are associated (or correlated) with AC SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AC SA has no effect on the direction of ING Bank i.e., ING Bank and AC SA go up and down completely randomly.

Pair Corralation between ING Bank and AC SA

Assuming the 90 days trading horizon ING Bank lski is expected to under-perform the AC SA. In addition to that, ING Bank is 1.25 times more volatile than AC SA. It trades about -0.09 of its total potential returns per unit of risk. AC SA is currently generating about -0.04 per unit of volatility. If you would invest  3,060  in AC SA on September 1, 2024 and sell it today you would lose (280.00) from holding AC SA or give up 9.15% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy99.22%
ValuesDaily Returns

ING Bank lski  vs.  AC SA

 Performance 
       Timeline  
ING Bank lski 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days ING Bank lski has generated negative risk-adjusted returns adding no value to investors with long positions. Even with weak performance in the last few months, the Stock's basic indicators remain relatively invariable which may send shares a bit higher in December 2024. The latest agitation may also be a sign of long-running up-swing for the enterprise retail investors.
AC SA 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days AC SA has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, AC SA is not utilizing all of its potentials. The latest stock price agitation, may contribute to short-term losses for the retail investors.

ING Bank and AC SA Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with ING Bank and AC SA

The main advantage of trading using opposite ING Bank and AC SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ING Bank position performs unexpectedly, AC SA 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 AC SA will offset losses from the drop in AC SA's long position.
The idea behind ING Bank lski and AC SA 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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