Correlation Between SOFTWARE MANSION and ING Bank

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

Diversification Opportunities for SOFTWARE MANSION and ING Bank

0.44
  Correlation Coefficient

Very weak diversification

The 3 months correlation between SOFTWARE and ING is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding SOFTWARE MANSION SPOLKA and ING Bank lski in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ING Bank lski and SOFTWARE MANSION 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 SOFTWARE MANSION SPOLKA are associated (or correlated) with ING Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ING Bank lski has no effect on the direction of SOFTWARE MANSION i.e., SOFTWARE MANSION and ING Bank go up and down completely randomly.

Pair Corralation between SOFTWARE MANSION and ING Bank

Assuming the 90 days trading horizon SOFTWARE MANSION is expected to generate 1.15 times less return on investment than ING Bank. In addition to that, SOFTWARE MANSION is 2.06 times more volatile than ING Bank lski. It trades about 0.02 of its total potential returns per unit of risk. ING Bank lski is currently generating about 0.06 per unit of volatility. If you would invest  14,105  in ING Bank lski on August 30, 2024 and sell it today you would earn a total of  8,595  from holding ING Bank lski or generate 60.94% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy51.01%
ValuesDaily Returns

SOFTWARE MANSION SPOLKA  vs.  ING Bank lski

 Performance 
       Timeline  
SOFTWARE MANSION SPOLKA 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days SOFTWARE MANSION SPOLKA has generated negative risk-adjusted returns adding no value to investors with long positions. Even with latest weak performance, the Stock's basic indicators remain invariable and the latest agitation on Wall Street may also be a sign of long-running gains for the enterprise retail investors.
ING Bank lski 

Risk-Adjusted Performance

0 of 100

 
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.

SOFTWARE MANSION and ING Bank Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with SOFTWARE MANSION and ING Bank

The main advantage of trading using opposite SOFTWARE MANSION and ING Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOFTWARE MANSION position performs unexpectedly, ING 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 ING Bank will offset losses from the drop in ING Bank's long position.
The idea behind SOFTWARE MANSION SPOLKA and ING Bank lski 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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..

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