Correlation Between BEL Small and AGFA Gevaert

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

Diversification Opportunities for BEL Small and AGFA Gevaert

0.96
  Correlation Coefficient

Almost no diversification

The 3 months correlation between BEL and AGFA is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding BEL Small and AGFA Gevaert NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGFA Gevaert NV and BEL Small 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 BEL Small are associated (or correlated) with AGFA Gevaert. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AGFA Gevaert NV has no effect on the direction of BEL Small i.e., BEL Small and AGFA Gevaert go up and down completely randomly.
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Pair Corralation between BEL Small and AGFA Gevaert

Assuming the 90 days trading horizon BEL Small is expected to generate 0.14 times more return on investment than AGFA Gevaert. However, BEL Small is 6.93 times less risky than AGFA Gevaert. It trades about -0.28 of its potential returns per unit of risk. AGFA Gevaert NV is currently generating about -0.16 per unit of risk. If you would invest  886,819  in BEL Small on September 15, 2024 and sell it today you would lose (82,631) from holding BEL Small or give up 9.32% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

BEL Small  vs.  AGFA Gevaert NV

 Performance 
       Timeline  

BEL Small and AGFA Gevaert Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BEL Small and AGFA Gevaert

The main advantage of trading using opposite BEL Small and AGFA Gevaert positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BEL Small position performs unexpectedly, AGFA Gevaert 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 AGFA Gevaert will offset losses from the drop in AGFA Gevaert's long position.
The idea behind BEL Small and AGFA Gevaert NV 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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