Salesforce Backtesting

With this equity back-testing module your can estimate the performance of a buy and hold strategy of salesforce inc and determine expected loss or profit from investing in Salesforce over given investment horizon. Check also Salesforce Hype Analysis, Salesforce Correlation, Salesforce Valuation, Salesforce Volatility as well as analyze Salesforce Alpha and Beta and Salesforce Performance
Investment Horizon     30 Days    Login   to change

Salesforce 'What if' Analysis

September 24, 2016
No Change 0.00  0.0%
In 31 days
October 24, 2016
If you would invest  0.00  in Salesforce on September 24, 2016 and sell it all today you would earn a total of 0.00 from holding salesforce inc or generate 0.0% return on investment in Salesforce over 30 days. Salesforce is related to or competes with Oracle, S A P, ADOBE SYSTEMS, INTUIT INC, RED HAT, and Bank of. It offers enterprise cloud computing applications and platform services including Sales Cloud that enables companies to ...

Salesforce Upside/Downside Indicators


Salesforce Market Premium Indicators

salesforce inc lagged returns against current returns

 Current and Lagged Values 
Benchmark  Embed   Timeline 

Salesforce regressed lagged prices vs. current prices

 Current vs Lagged Prices 
Benchmark  Embed   Timeline 

salesforce inc Backtested Returns

Macroaxis considers Salesforce not too volatile given 1 month investment horizon. salesforce inc owns Efficiency Ratio (i.e. Sharpe Ratio) of 0.1288 which indicates salesforce inc had 0.1288% of return per unit of risk over the last 1 month. Our philosophy towards measuring volatility of a stock is to use all available market data together with company specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for salesforce inc which you can use to evaluate future volatility of the company. Please operate Salesforce Semi Deviation of 2.61, Coefficient Of Variation of 49107.87 and Risk Adjusted Performance of 0.0092 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100 Salesforce holds performance score of 8. The entity has beta of 1.4824 which indicates as market goes up, the company is expected to significantly outperform it. However, if the market returns are negative, Salesforce will likely underperform.. Although it is vital to follow to salesforce inc current price movements, it is good to be conservative about what you can actually do with the information about equity historical returns. The philosophy towards measuring future performance of any stock is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators. By inspecting salesforce inc technical indicators you can presently evaluate if the expected return of 0.3562% will be sustainable into the future. Please operates Salesforce Downside Variance, and the relationship between Sortino Ratio and Accumulation Distribution to make a quick decision on weather salesforce inc existing price patterns will revert.
Advice Volatility Trend Exposure 
15 days auto-correlation 0.29 

Poor predictability

salesforce inc has poor predictability. Overlapping area represents amount of predictability between Salesforce time series from September 24, 2016 to October 9, 2016 and October 9, 2016 to October 24, 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 0.29 indicates that nearly 29.0% of current Salesforce price fluctuation can be explain by its past prices.
Correlation Coefficient 0.29
Spearman Rank Test 0.06
Price Variance 1.62
Lagged Price Variance 2.55

Salesforce Lagged Returns

 Regressed Prices 
Benchmark  Embed   Timeline 

Salesforce Performance vs NYSE

The median price of Salesforce for the period between Sat, Sep 24, 2016 and Mon, Oct 24, 2016 is 72.23 with a coefficient of variation of 2.31. The daily time series for the period is distributed with a sample standard deviation of 1.66, arithmetic mean of 71.94, and mean deviation of 1.35. The Stock received some media coverage during the period.
Price Growth (%)  
Benchmark  Embed   Timeline