Automatic Data Proce Backtested Returns
Macroaxis considers Automatic Data to be not too risky. Automatic Data Proce
secures Sharpe Ratio (or Efficiency) of -0.1057 which signifies that Automatic Data Proce
had -0.1057% of return per unit of risk over the last 1 month. Macroaxis philosophy towards foreseeing 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
. Automatic Data Processing Inc exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Automatic Data Proce Risk Adjusted Performance
of 0.22 and Mean Deviation of 1.37 to double-check risk estimate we provide. Macroaxis gives Automatic Data performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of 0.7089 which signifies that as returns on market increase, Automatic Data returns are expected to increase less than the market. However during bear market, the loss on holding Automatic Data will be expected to be smaller as well.. Even though it is essential to pay attention to Automatic Data Proce historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis philosophy towards foreseeing 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. Automatic Data Processing Inc exposes twenty-one different technical indicators which can help you to evaluate its performance. Automatic Data Proce has expected return of -0.1927%. Please be advised to confirm Automatic Data Proce Variance, Maximum Drawdown as well as the relationship between Maximum Drawdown and Semi Variance to decide if Automatic Data Proce past performance will be repeated at some point in the near future.
|15 days auto-correlation||(0.47) |
Modest reverse predictability
Automatic Data Processing Inc has modest reverse predictability. Overlapping area represents the amount of predictability between Automatic Data time series from January 24, 2018 to February 8, 2018 and February 8, 2018 to February 23, 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 Automatic Data Proce price movement. The serial correlation of -0.47 indicates that about 47.0% of current Automatic Data price fluctuation can be explain by its past prices. Given that Automatic Data Processing Inc has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Automatic Data for similar time interval.
|Correlation Coefficient|| -0.47|
|Spearman Rank Test|| -0.76|
|Price Variance|| 6.24|
|Lagged Price Variance|| 11.97|
Automatic Data Lagged Returns