Pfizer (Germany) Market Value
| PFE Stock | EUR 25.22 0.23 0.90% |
| Symbol | Pfizer |
Pfizer '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 Pfizer'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 Pfizer.
| 02/03/2023 |
| 01/23/2025 |
If you would invest 0.00 in Pfizer on February 3, 2023 and sell it all today you would earn a total of 0.00 from holding Pfizer Inc or generate 0.0% return on investment in Pfizer over 720 days. Pfizer is related to or competes with Xenia Hotels, InterContinental, Universal Health, MHP Hotel, SHIP HEALTHCARE, NIGHTINGALE HEALTH, and RCI Hospitality. More
Pfizer 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 Pfizer'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 Pfizer Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 7.75 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.85 |
Pfizer Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pfizer's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pfizer's standard deviation. In reality, there are many statistical measures that can use Pfizer historical prices to predict the future Pfizer's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | 0.4722 |
Pfizer Inc Backtested Returns
Pfizer Inc maintains Sharpe Ratio (i.e., Efficiency) of -0.026, which implies the firm had a -0.026 % return per unit of risk over the last 3 months. Pfizer Inc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pfizer's Variance of 1.75, risk adjusted performance of (0.03), and Coefficient Of Variation of (2,387) to confirm the risk estimate we provide. The company holds a Beta of -0.14, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Pfizer are expected to decrease at a much lower rate. During the bear market, Pfizer is likely to outperform the market. At this point, Pfizer Inc has a negative expected return of -0.0357%. Please make sure to check Pfizer's treynor ratio, value at risk, and the relationship between the total risk alpha and maximum drawdown , to decide if Pfizer Inc performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.34 |
Poor reverse predictability
Pfizer Inc has poor reverse predictability. Overlapping area represents the amount of predictability between Pfizer time series from 3rd of February 2023 to 29th of January 2024 and 29th of January 2024 to 23rd of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Pfizer Inc price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Pfizer price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 1.18 |
Pfizer Inc lagged returns against current returns
Autocorrelation, which is Pfizer 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 Pfizer's stock expected returns. We can calculate the autocorrelation of Pfizer returns to help us make a trade decision. For example, suppose you find that Pfizer 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 |
Pfizer 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 Pfizer stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pfizer stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pfizer stock over time.
Current vs Lagged Prices |
| Timeline |
Pfizer Lagged Returns
When evaluating Pfizer's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pfizer stock have on its future price. Pfizer 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, Pfizer autocorrelation shows the relationship between Pfizer stock current value and its past values and can show if there is a momentum factor associated with investing in Pfizer Inc.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Pfizer Stock Analysis
When running Pfizer's price analysis, check to measure Pfizer'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 Pfizer is operating at the current time. Most of Pfizer's value examination focuses on studying past and present price action to predict the probability of Pfizer's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pfizer's price. Additionally, you may evaluate how the addition of Pfizer to your portfolios can decrease your overall portfolio volatility.