Salesforce Stock Market Value

CRM
 Stock
  

USD 144.56  2.44  1.66%   

Salesforce's market value is the price at which a share of Salesforce stock trades on a public exchange. It measures the collective expectations of Salesforce investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Salesforce and determine expected loss or profit from investing in Salesforce over a given investment horizon. Continue to Salesforce Correlation, Salesforce Volatility and Salesforce Alpha and Beta module to complement your research on Salesforce.
Symbol


Is Salesforce's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Salesforce. If investors know Salesforce will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Salesforce listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
(0.55) 
Market Capitalization
144.6 B
Quarterly Revenue Growth YOY
0.14
Return On Assets
0.0035
Return On Equity
0.0048
The market value of Salesforce is measured differently than its book value, which is the value of Salesforce that is recorded on the company's balance sheet. Investors also form their own opinion of Salesforce's value that differs from its market value or its book value, called intrinsic value, which is Salesforce's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Salesforce's market value can be influenced by many factors that don't directly affect Salesforce's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Salesforce's value and its price as these two are different measures arrived at by different means. Investors typically determine Salesforce value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Salesforce's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
11/03/2022
No Change 0.00  0.0 
In 30 days
12/03/2022
0.00
If you would invest  0.00  in Salesforce on November 3, 2022 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 30 days. Salesforce is related to or competes with Absolute Software, and ADEIA CORP. Salesforce, Inc. provides customer relationship management technology that brings companies and customers together world... 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.

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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Salesforce's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Salesforce in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
141.50144.55147.60
Details
Intrinsic
Valuation
LowReal ValueHigh
130.10186.48189.53
Details
28 Analysts
Consensus
LowTarget PriceHigh
233.00320.90365.00
Details
Earnings
Estimates (13)
LowProjected EPSHigh
2.332.422.46
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Salesforce. Your research has to be compared to or analyzed against Salesforce's peers to derive any actionable benefits. When done correctly, Salesforce's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Salesforce.

Salesforce Backtested Returns

Salesforce owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0101, which indicates the firm had -0.0101% of return per unit of risk over the last 3 months. Macroaxis standpoint towards measuring the risk of any stock is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Salesforce exposes twenty-seven 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 (4,128), and Risk Adjusted Performance of (0.030658) to confirm the risk estimate we provide.
The entity has a beta of 1.422, which indicates a somewhat significant risk relative to the market. Let's try to break down what Salesforce's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Salesforce will likely underperform. 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. Our philosophy towards measuring any stock's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Salesforce exposes twenty-seven different technical indicators, which can help you to evaluate its performance. Salesforce has an expected return of -0.0309%. Please be advised to validate Salesforce downside variance, and the relationship between the sortino ratio and accumulation distribution to decide if Salesforce performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  0.26  

Poor predictability

Salesforce has poor predictability. Overlapping area represents the amount of predictability between Salesforce time series from 3rd of November 2022 to 18th of November 2022 and 18th of November 2022 to 3rd of December 2022. 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 0.26 indicates that nearly 26.0% of current Salesforce price fluctuation can be explain by its past prices.
Correlation Coefficient0.26
Spearman Rank Test-0.18
Residual Average0.0
Price Variance21.53

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 stock 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 stock movement to match the lagging time series.
   Current and Lagged Values   
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       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   
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       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   
Share
       Timeline  

Salesforce Investors Sentiment

The influence of Salesforce's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Salesforce. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to Salesforce's public news can be used to forecast risks associated with investment in Salesforce. The trend in average sentiment can be used to explain how an investor holding Salesforce can time the market purely based on public headlines and social activities around Salesforce. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Salesforce's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Salesforce's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Salesforce's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Salesforce.

Salesforce Implied Volatility

    
  37.0  
Salesforce's implied volatility exposes the market's sentiment of Salesforce stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Salesforce's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Salesforce stock will not fluctuate a lot when Salesforce's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Salesforce in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Salesforce's short interest history, or implied volatility extrapolated from Salesforce options trading.

Pair Trading with Salesforce

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Salesforce position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Salesforce will appreciate offsetting losses from the drop in the long position's value.

Moving together with Salesforce

+0.69ADSKAutodesk Downward RallyPairCorr
The ability to find closely correlated positions to Salesforce could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Salesforce when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Salesforce - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Salesforce to buy it.
The correlation of Salesforce is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Salesforce moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Salesforce moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Salesforce can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Continue to Salesforce Correlation, Salesforce Volatility and Salesforce Alpha and Beta module to complement your research on Salesforce. You can also try Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.

Complementary Tools for analysis

When running Salesforce price analysis, check to measure Salesforce's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Salesforce is operating at the current time. Most of Salesforce's value examination focuses on studying past and present price action to predict the probability of Salesforce's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Salesforce's price. Additionally, you may evaluate how the addition of Salesforce to your portfolios can decrease your overall portfolio volatility.
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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.
A focus of Salesforce technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Salesforce trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...