Macroaxis considers Salesforce to be very steady. Salesforce
owns Efficiency Ratio (i.e. Sharpe Ratio) of -0.0228 which indicates the firm had -0.0228% of return per unit of risk over the last 3 months. 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 exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate Salesforce Semi Deviation
of 1.26, Coefficient Of Variation
of 2987.06 and Risk Adjusted Performance
of 0.033 to confirm risk estimate we provide. The entity has beta of 0.7603 which indicates as returns on market increase, Salesforce returns are expected to increase less than the market. However during bear market, the loss on holding Salesforce will be expected to be smaller as well. Even though it is essential to pay attention to Salesforce
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 exposes twenty-one different technical indicators which can help you to evaluate its performance. Salesforce
has expected return of -0.0335%. Please be advised to validate Salesforce Downside Deviation
, Jensen Alpha
as well as the relationship
between Jensen Alpha and Downside Variance
to decide if Salesforce
past performance will be repeated at some point in the near future.
Salesforce has poor predictability. Overlapping area represents the amount of predictability between Salesforce time series from June 20, 2019 to August 4, 2019 and August 4, 2019 to September 18, 2019. 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 price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Salesforce price fluctuation can be explain by its past prices.