Correlation Between Ford and SP Funds

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Ford and SP Funds 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 SP Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and SP Funds Dow, you can compare the effects of market volatilities on Ford and SP Funds 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 SP Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and SP Funds.

Diversification Opportunities for Ford and SP Funds

-0.23
  Correlation Coefficient

Very good diversification

The 3 months correlation between Ford and SPSK is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and SP Funds Dow in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SP Funds Dow 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 SP Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP Funds Dow has no effect on the direction of Ford i.e., Ford and SP Funds go up and down completely randomly.

Pair Corralation between Ford and SP Funds

Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the SP Funds. In addition to that, Ford is 6.09 times more volatile than SP Funds Dow. It trades about -0.09 of its total potential returns per unit of risk. SP Funds Dow is currently generating about -0.04 per unit of volatility. If you would invest  1,819  in SP Funds Dow on September 21, 2024 and sell it today you would lose (11.00) from holding SP Funds Dow or give up 0.6% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy97.73%
ValuesDaily Returns

Ford Motor  vs.  SP Funds Dow

 Performance 
       Timeline  
Ford Motor 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Ford Motor has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest unfluctuating performance, the Stock's technical and fundamental indicators remain stable and the current disturbance on Wall Street may also be a sign of long-run gains for the company stockholders.
SP Funds Dow 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days SP Funds Dow has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent basic indicators, SP Funds is not utilizing all of its potentials. The current stock price mess, may contribute to short-term losses for the institutional investors.

Ford and SP Funds Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ford and SP Funds

The main advantage of trading using opposite Ford and SP Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, SP Funds 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 SP Funds will offset losses from the drop in SP Funds' long position.
The idea behind Ford Motor and SP Funds Dow 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.
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against SP Funds as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. SP Funds' systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, SP Funds' unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to SP Funds Dow.
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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

Other Complementary Tools

AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes