Salesforce (Poland) Market Value
| CRM Stock | 0.45 0.01 2.17% |
| 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.
| 11/28/2023 |
| 11/22/2024 |
If you would invest 0.00 in Salesforce on November 28, 2023 and sell it all today you would earn a total of 0.00 from holding PZ Cormay SA or generate 0.0% return on investment in Salesforce over 360 days.
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 PZ Cormay SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 10.51 | |||
| Value At Risk | (2.22) | |||
| Potential Upside | 4.08 |
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 | (0.07) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | 0.3721 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that 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.
PZ Cormay SA Backtested Returns
PZ Cormay SA retains Efficiency (Sharpe Ratio) of -0.099, which indicates the firm had a -0.099% return per unit of price deviation over the last 3 months. Salesforce exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Salesforce's information ratio of (0.15), and Market Risk Adjusted Performance of 0.3821 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of -0.62, 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. At this point, PZ Cormay SA has a negative expected return of -0.21%. Please make sure to validate Salesforce's standard deviation, kurtosis, relative strength index, as well as the relationship between the maximum drawdown and day median price , to decide if PZ Cormay SA performance from the past will be repeated at some future date.
Auto-correlation | 0.47 |
Average predictability
PZ Cormay SA has average predictability. Overlapping area represents the amount of predictability between Salesforce time series from 28th of November 2023 to 26th of May 2024 and 26th 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 PZ Cormay SA price movement. The serial correlation of 0.47 indicates that about 47.0% of current Salesforce price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
PZ Cormay SA 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 PZ Cormay SA.
Regressed Prices |
| Timeline |
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 Stock
Moving against Salesforce Stock
| 0.73 | UCG | UniCredit SpA | PairCorr |
| 0.72 | DNP | Dino Polska SA | PairCorr |
| 0.66 | SAN | Banco Santander SA | PairCorr |
| 0.4 | CEZ | CEZ as | PairCorr |
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 PZ Cormay SA to buy it.
The correlation of Salesforce is a statistical measure of how it moves in relation to other instruments. 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 PZ Cormay SA 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.Additional Tools for Salesforce Stock Analysis
When running Salesforce's 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 the 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.