Walgreens Boots (Germany) Market Value
| W8A Stock | EUR 8.62 0.08 0.94% |
| Symbol | Walgreens |
Please note, there is a significant difference between Walgreens Boots' value and its price as these two are different measures arrived at by different means. Investors typically determine if Walgreens Boots is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Walgreens Boots' 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.
Walgreens Boots '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 Walgreens Boots' 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 Walgreens Boots.
| 06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in Walgreens Boots on June 5, 2024 and sell it all today you would earn a total of 0.00 from holding Walgreens Boots Alliance or generate 0.0% return on investment in Walgreens Boots over 180 days. Walgreens Boots is related to or competes with Apple, Apple, Apple, Apple, Apple, Apple, and Microsoft. More
Walgreens Boots 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 Walgreens Boots' 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 Walgreens Boots Alliance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.23 | |||
| Information Ratio | 0.0072 | |||
| Maximum Drawdown | 19.13 | |||
| Value At Risk | (4.50) | |||
| Potential Upside | 5.48 |
Walgreens Boots Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Walgreens Boots' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Walgreens Boots' standard deviation. In reality, there are many statistical measures that can use Walgreens Boots historical prices to predict the future Walgreens Boots' volatility.| Risk Adjusted Performance | 0.0441 | |||
| Jensen Alpha | 0.1602 | |||
| Total Risk Alpha | (0.42) | |||
| Sortino Ratio | 0.0076 | |||
| Treynor Ratio | (2.46) |
Walgreens Boots Alliance Backtested Returns
At this point, Walgreens Boots is slightly risky. Walgreens Boots Alliance shows Sharpe Ratio of 0.0542, which attests that the company had a 0.0542% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Walgreens Boots Alliance, which you can use to evaluate the volatility of the company. Please check out Walgreens Boots' Mean Deviation of 2.53, downside deviation of 3.23, and Market Risk Adjusted Performance of (2.45) to validate if the risk estimate we provide is consistent with the expected return of 0.19%. Walgreens Boots has a performance score of 4 on a scale of 0 to 100. The firm maintains a market beta of -0.0619, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Walgreens Boots are expected to decrease at a much lower rate. During the bear market, Walgreens Boots is likely to outperform the market. Walgreens Boots Alliance right now maintains a risk of 3.43%. Please check out Walgreens Boots Alliance sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to decide if Walgreens Boots Alliance will be following its historical returns.
Auto-correlation | -0.5 |
Modest reverse predictability
Walgreens Boots Alliance has modest reverse predictability. Overlapping area represents the amount of predictability between Walgreens Boots time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd of December 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 Walgreens Boots Alliance price movement. The serial correlation of -0.5 indicates that about 50.0% of current Walgreens Boots price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Walgreens Boots Alliance lagged returns against current returns
Autocorrelation, which is Walgreens Boots 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 Walgreens Boots' stock expected returns. We can calculate the autocorrelation of Walgreens Boots returns to help us make a trade decision. For example, suppose you find that Walgreens Boots 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 |
Walgreens Boots 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 Walgreens Boots stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Walgreens Boots stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Walgreens Boots stock over time.
Current vs Lagged Prices |
| Timeline |
Walgreens Boots Lagged Returns
When evaluating Walgreens Boots' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Walgreens Boots stock have on its future price. Walgreens Boots 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, Walgreens Boots autocorrelation shows the relationship between Walgreens Boots stock current value and its past values and can show if there is a momentum factor associated with investing in Walgreens Boots Alliance.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Information and Resources on Investing in Walgreens Stock
When determining whether Walgreens Boots Alliance offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Walgreens Boots' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Walgreens Boots Alliance Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Walgreens Boots Alliance Stock:Check out Walgreens Boots Correlation, Walgreens Boots Volatility and Walgreens Boots Alpha and Beta module to complement your research on Walgreens Boots. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Walgreens Boots 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.