Correlation Between Stagwell and AALLN

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Can any of the company-specific risk be diversified away by investing in both Stagwell and AALLN 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 Stagwell and AALLN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stagwell and AALLN 475 16 MAR 52, you can compare the effects of market volatilities on Stagwell and AALLN 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 Stagwell with a short position of AALLN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stagwell and AALLN.

Diversification Opportunities for Stagwell and AALLN

-0.43
  Correlation Coefficient

Very good diversification

The 3 months correlation between Stagwell and AALLN is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Stagwell and AALLN 475 16 MAR 52 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AALLN 475 16 and Stagwell 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 Stagwell are associated (or correlated) with AALLN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AALLN 475 16 has no effect on the direction of Stagwell i.e., Stagwell and AALLN go up and down completely randomly.

Pair Corralation between Stagwell and AALLN

Given the investment horizon of 90 days Stagwell is expected to generate 2.86 times more return on investment than AALLN. However, Stagwell is 2.86 times more volatile than AALLN 475 16 MAR 52. It trades about 0.07 of its potential returns per unit of risk. AALLN 475 16 MAR 52 is currently generating about -0.01 per unit of risk. If you would invest  551.00  in Stagwell on September 4, 2024 and sell it today you would earn a total of  253.00  from holding Stagwell or generate 45.92% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy74.9%
ValuesDaily Returns

Stagwell  vs.  AALLN 475 16 MAR 52

 Performance 
       Timeline  
Stagwell 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Stagwell are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of fairly abnormal technical and fundamental indicators, Stagwell showed solid returns over the last few months and may actually be approaching a breakup point.
AALLN 475 16 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days AALLN 475 16 MAR 52 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, AALLN is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Stagwell and AALLN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Stagwell and AALLN

The main advantage of trading using opposite Stagwell and AALLN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stagwell position performs unexpectedly, AALLN 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 AALLN will offset losses from the drop in AALLN's long position.
The idea behind Stagwell and AALLN 475 16 MAR 52 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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