Salesforce (Germany) Market Value
| FOO Stock | EUR 306.30 18.15 5.59% |
| Symbol | Salesforce |
Salesforce 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Salesforce's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Salesforce.
| 10/29/2023 |
| 11/22/2024 |
If you would invest 0.00 in Salesforce on October 29, 2023 and sell it all today you would earn a total of 0.00 from holding Salesforce or generate 0.0% return on investment in Salesforce over 390 days. Salesforce is related to or competes with Microsoft, NVIDIA, Superior Plus, NMI Holdings, Origin Agritech, SIVERS SEMICONDUCTORS, and Talanx AG. salesforce.com, inc. develops enterprise cloud computing solutions with a focus on customer relationship management worl... More
Salesforce Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Salesforce's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Salesforce upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | 0.1671 | |||
| Maximum Drawdown | 12.14 | |||
| Value At Risk | (1.82) | |||
| Potential Upside | 3.53 |
Salesforce Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Salesforce's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Salesforce's standard deviation. In reality, there are many statistical measures that can use Salesforce historical prices to predict the future Salesforce's volatility.| Risk Adjusted Performance | 0.1778 | |||
| Jensen Alpha | 0.4483 | |||
| Total Risk Alpha | 0.1684 | |||
| Sortino Ratio | 0.2511 | |||
| Treynor Ratio | (1.18) |
Salesforce Backtested Returns
Salesforce appears to be very steady, given 3 months investment horizon. Salesforce owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.22, which indicates the firm had a 0.22% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Salesforce, which you can use to evaluate the volatility of the company. Please review Salesforce's Coefficient Of Variation of 443.71, semi deviation of 0.8667, and Risk Adjusted Performance of 0.1778 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Salesforce holds a performance score of 17. The entity has a beta of -0.35, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Salesforce are expected to decrease at a much lower rate. During the bear market, Salesforce is likely to outperform the market. Please check Salesforce's standard deviation, treynor ratio, downside variance, as well as the relationship between the total risk alpha and value at risk , to make a quick decision on whether Salesforce's existing price patterns will revert.
Auto-correlation | 0.13 |
Insignificant predictability
Salesforce has insignificant predictability. Overlapping area represents the amount of predictability between Salesforce time series from 29th of October 2023 to 11th of May 2024 and 11th of May 2024 to 22nd of November 2024. 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 0.13 indicates that less than 13.0% of current Salesforce price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 555.49 |
Salesforce lagged returns against current returns
Autocorrelation, which is Salesforce stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Salesforce's stock expected returns. We can calculate the autocorrelation of Salesforce returns to help us make a trade decision. For example, suppose you find that Salesforce has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Salesforce regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Salesforce stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Salesforce stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Salesforce stock over time.
Current vs Lagged Prices |
| Timeline |
Salesforce Lagged Returns
When evaluating Salesforce's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Salesforce stock have on its future price. Salesforce autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Salesforce autocorrelation shows the relationship between Salesforce stock current value and its past values and can show if there is a momentum factor associated with investing in Salesforce.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Salesforce Stock
When determining whether Salesforce is a strong investment it is important to analyze Salesforce's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Salesforce's future performance. For an informed investment choice regarding Salesforce Stock, refer to the following important reports:Check out Salesforce Correlation, Salesforce Volatility and Salesforce Alpha and Beta module to complement your research on Salesforce. For more detail on how to invest in Salesforce Stock please use our How to Invest in Salesforce guide.You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Salesforce technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.