salesforce inc Backtested Returns
Macroaxis considers Salesforce to be not too risky. salesforce inc
owns Efficiency Ratio (i.e. Sharpe Ratio) of -0.1696 which indicates salesforce inc
had -0.1696% of return per unit of risk over the last 1 month. Macroaxis philosophy towards measuring 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
. salesforce inc exposes twenty-eight different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate Salesforce Coefficient Of Variation
of (496.91) and Risk Adjusted Performance of (0.12) to confirm risk estimate we provide. Macroaxis gives Salesforce performance score of 0 on a scale of 0 to 100. The entity has beta of -0.6452 which indicates as returns on market increase, returns on owning Salesforce are expected to decrease at a much smaller rate. During bear market, Salesforce is likely to outperform the market.. Even though it is essential to pay attention to salesforce inc current price movements, it is always good to be careful when utilizing equity historical returns. Macroaxis philosophy towards measuring 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. salesforce inc exposes twenty-eight different technical indicators which can help you to evaluate its performance. salesforce inc has expected return of -0.3299%. Please be advised to validate Salesforce Downside Variance, and the relationship between Sortino Ratio and Accumulation Distribution to decide if salesforce inc past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.25 |
salesforce inc has poor predictability. Overlapping area represents amount of predictability between Salesforce time series from November 2, 2016 to November 17, 2016 and November 17, 2016 to December 2, 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 salesforce inc price movement. The serial correlation of 0.25 indicates that over 25.0% of current Salesforce price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.25|
|Spearman Rank Test|| 0.12|
|Price Variance|| 6.62|
|Lagged Price Variance|| 1.29|
Salesforce Lagged Returns