Correlation Between Ford and X Square

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

Diversification Opportunities for Ford and X Square

-0.44
  Correlation Coefficient

Very good diversification

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

Pair Corralation between Ford and X Square

Taking into account the 90-day investment horizon Ford Motor is expected to generate 2.81 times more return on investment than X Square. However, Ford is 2.81 times more volatile than X Square Balanced. It trades about 0.05 of its potential returns per unit of risk. X Square Balanced is currently generating about -0.04 per unit of risk. If you would invest  975.00  in Ford Motor on December 26, 2024 and sell it today you would earn a total of  55.00  from holding Ford Motor or generate 5.64% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy98.36%
ValuesDaily Returns

Ford Motor  vs.  X Square Balanced

 Performance 
       Timeline  
Ford Motor 

Risk-Adjusted Performance

Insignificant

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Ford Motor are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite nearly unfluctuating technical and fundamental indicators, Ford may actually be approaching a critical reversion point that can send shares even higher in April 2025.
X Square Balanced 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days X Square Balanced has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong fundamental drivers, X Square is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Ford and X Square Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ford and X Square

The main advantage of trading using opposite Ford and X Square positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, X Square 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 X Square will offset losses from the drop in X Square's long position.
The idea behind Ford Motor and X Square Balanced 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 Search module to search for actively traded equities including funds and ETFs from over 30 global markets.

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