Ford Motor Backtested Returns
Macroaxis considers Ford Motor to be not very volatile. Ford Motor
secures Sharpe Ratio (or Efficiency) of -0.2585 which denotes Ford Motor
had -0.2585% of return per unit of risk over the last 1 month. Macroaxis philosophy towards predicting risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. Ford Motor Company exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Ford Motor Coefficient Of Variation
of 386.87 and Mean Deviation of 1.52 to check risk estimate we provide. Macroaxis gives Ford Motor performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of -0.3544 which denotes to the fact that as returns on market increase, returns on owning Ford Motor are expected to decrease at a much smaller rate. During bear market, Ford Motor is likely to outperform the market.. Even though it is essential to pay attention to Ford Motor historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis philosophy towards predicting future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Ford Motor Company exposes twenty-one different technical indicators which can help you to evaluate its performance. Ford Motor has expected return of -0.5617%. Please be advised to confirm Ford Motor Treynor Ratio as well as the relationship between Potential Upside and Expected Short fall to decide if Ford Motor past performance will be repeated at some point in the near future.
|15 days auto-correlation||(0.27) |
Weak reverse predictability
Ford Motor Company has weak reverse predictability. Overlapping area represents the amount of predictability between Ford Motor time series from January 18, 2018 to February 2, 2018 and February 2, 2018 to February 17, 2018. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ford Motor price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Ford Motor price fluctuation can be explain by its past prices. Given that Ford Motor Company has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Ford Motor for similar time interval.
|Correlation Coefficient|| -0.27|
|Spearman Rank Test|| -0.27|
|Price Variance|| 0.03|
|Lagged Price Variance|| 0.21|
Ford Motor Lagged Returns