BOS BETTER (Germany) Market Value
| BOQ Stock | EUR 2.36 0.00 0.00% |
| Symbol | BOS |
BOS BETTER '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 BOS BETTER'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 BOS BETTER.
| 10/30/2023 |
| 11/23/2024 |
If you would invest 0.00 in BOS BETTER on October 30, 2023 and sell it all today you would earn a total of 0.00 from holding BOS BETTER ONLINE or generate 0.0% return on investment in BOS BETTER over 390 days. BOS BETTER is related to or competes with Apple, Apple, Apple, Apple, Microsoft, Microsoft, and Microsoft. More
BOS BETTER 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 BOS BETTER'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 BOS BETTER ONLINE upside and downside potential and time the market with a certain degree of confidence.
BOS BETTER Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BOS BETTER's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BOS BETTER's standard deviation. In reality, there are many statistical measures that can use BOS BETTER historical prices to predict the future BOS BETTER's volatility.BOS BETTER ONLINE Backtested Returns
We have found three technical indicators for BOS BETTER ONLINE, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and BOS BETTER are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
BOS BETTER ONLINE has no correlation between past and present. Overlapping area represents the amount of predictability between BOS BETTER time series from 30th of October 2023 to 12th of May 2024 and 12th of May 2024 to 23rd 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 BOS BETTER ONLINE price movement. The serial correlation of 0.0 indicates that just 0.0% of current BOS BETTER price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
BOS BETTER ONLINE lagged returns against current returns
Autocorrelation, which is BOS BETTER 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 BOS BETTER's stock expected returns. We can calculate the autocorrelation of BOS BETTER returns to help us make a trade decision. For example, suppose you find that BOS BETTER 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 |
BOS BETTER 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 BOS BETTER stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BOS BETTER stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BOS BETTER stock over time.
Current vs Lagged Prices |
| Timeline |
BOS BETTER Lagged Returns
When evaluating BOS BETTER's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BOS BETTER stock have on its future price. BOS BETTER 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, BOS BETTER autocorrelation shows the relationship between BOS BETTER stock current value and its past values and can show if there is a momentum factor associated with investing in BOS BETTER ONLINE.
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 BOS Stock
When determining whether BOS BETTER ONLINE offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of BOS BETTER's 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 Bos Better Online Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Bos Better Online Stock:Check out BOS BETTER Correlation, BOS BETTER Volatility and BOS BETTER Alpha and Beta module to complement your research on BOS BETTER. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
BOS BETTER 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.