Correlation Between Ford and Microsoft

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

Diversification Opportunities for Ford and Microsoft

0.55
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Ford and Microsoft is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft 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 Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of Ford i.e., Ford and Microsoft go up and down completely randomly.

Pair Corralation between Ford and Microsoft

Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Microsoft. In addition to that, Ford is 1.55 times more volatile than Microsoft. It trades about -0.12 of its total potential returns per unit of risk. Microsoft is currently generating about -0.13 per unit of volatility. If you would invest  42,459  in Microsoft on February 6, 2024 and sell it today you would lose (1,793) from holding Microsoft or give up 4.22% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Ford Motor  vs.  Microsoft

 Performance 
       Timeline  
Ford Motor 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
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 June 2024.
Microsoft 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Microsoft has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable technical and fundamental indicators, Microsoft is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

Ford and Microsoft Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ford and Microsoft

The main advantage of trading using opposite Ford and Microsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Microsoft 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 Microsoft will offset losses from the drop in Microsoft's long position.
The idea behind Ford Motor and Microsoft 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.

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