Ford Motor Co Backtested Returns
Macroaxis considers Ford Motor to be unknown risk. Ford Motor Co
secures Sharpe Ratio (or Efficiency) of -0.04 which denotes Ford Motor Co
had -0.04% 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 Co exposes twenty-eight different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Ford Motor Co Coefficient Of Variation
of (1,935) and Mean Deviation of 0.7872 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 -0.4118 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 Co historical returns, it is always good to be careful when utilizing equity current trading 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 Co exposes twenty-eight different technical indicators which can help you to evaluate its performance. Ford Motor Co has expected return of -0.042%. Please be advised to confirm Ford Motor Co Expected Short fall, Day Median Price and the relationship between Potential Upside and Accumulation Distribution to decide if Ford Motor Co past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.50 |
Ford Motor Co has modest predictability. Overlapping area represents amount of predictability between Ford Motor time series from September 26, 2016 to October 11, 2016 and October 11, 2016 to October 26, 2016. 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 Co price movement. The serial correlation of 0.5 indicates that about 50.0% of current Ford Motor price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.5|
|Spearman Rank Test|| 0.43|
|Price Variance|| 0.01|
|Lagged Price Variance|| 0.03|
Ford Motor Lagged Returns