Alfa Financial (Germany) Market Value
| A9F Stock | 2.68 0.16 6.35% |
| Symbol | Alfa |
Alfa Financial '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 Alfa Financial'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 Alfa Financial.
| 10/29/2023 |
| 11/22/2024 |
If you would invest 0.00 in Alfa Financial on October 29, 2023 and sell it all today you would earn a total of 0.00 from holding Alfa Financial Software or generate 0.0% return on investment in Alfa Financial over 390 days. Alfa Financial is related to or competes with Apple, Apple, Apple, Apple, Apple, Microsoft, and Microsoft. More
Alfa Financial 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 Alfa Financial'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 Alfa Financial Software upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.54 | |||
| Information Ratio | 0.1178 | |||
| Maximum Drawdown | 12.7 | |||
| Value At Risk | (2.33) | |||
| Potential Upside | 3.57 |
Alfa Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alfa Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alfa Financial's standard deviation. In reality, there are many statistical measures that can use Alfa Financial historical prices to predict the future Alfa Financial's volatility.| Risk Adjusted Performance | 0.1376 | |||
| Jensen Alpha | 0.3664 | |||
| Total Risk Alpha | 0.0741 | |||
| Sortino Ratio | 0.1539 | |||
| Treynor Ratio | (1.13) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alfa Financial'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.
Alfa Financial Software Backtested Returns
Alfa Financial appears to be relatively risky, given 3 months investment horizon. Alfa Financial Software secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Alfa Financial Software, which you can use to evaluate the volatility of the firm. Please makes use of Alfa Financial's risk adjusted performance of 0.1376, and Mean Deviation of 1.33 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Alfa Financial holds a performance score of 13. The firm shows a Beta (market volatility) of -0.3, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Alfa Financial are expected to decrease at a much lower rate. During the bear market, Alfa Financial is likely to outperform the market. Please check Alfa Financial's treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to make a quick decision on whether Alfa Financial's price patterns will revert.
Auto-correlation | 0.59 |
Modest predictability
Alfa Financial Software has modest predictability. Overlapping area represents the amount of predictability between Alfa Financial time series from 29th of October 2023 to 11th of May 2024 and 11th 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 Alfa Financial Software price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Alfa Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Alfa Financial Software lagged returns against current returns
Autocorrelation, which is Alfa Financial 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 Alfa Financial's stock expected returns. We can calculate the autocorrelation of Alfa Financial returns to help us make a trade decision. For example, suppose you find that Alfa Financial 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 |
Alfa Financial 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 Alfa Financial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alfa Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alfa Financial stock over time.
Current vs Lagged Prices |
| Timeline |
Alfa Financial Lagged Returns
When evaluating Alfa Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alfa Financial stock have on its future price. Alfa Financial 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, Alfa Financial autocorrelation shows the relationship between Alfa Financial stock current value and its past values and can show if there is a momentum factor associated with investing in Alfa Financial Software.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Alfa Stock Analysis
When running Alfa Financial's price analysis, check to measure Alfa Financial'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 Alfa Financial is operating at the current time. Most of Alfa Financial's value examination focuses on studying past and present price action to predict the probability of Alfa Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alfa Financial's price. Additionally, you may evaluate how the addition of Alfa Financial to your portfolios can decrease your overall portfolio volatility.