Assicurazioni Generali (Germany) Market Value
ASG Stock | 27.09 0.02 0.07% |
Symbol | Assicurazioni |
Assicurazioni Generali '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 Assicurazioni Generali'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 Assicurazioni Generali.
04/06/2024 |
| 12/02/2024 |
If you would invest 0.00 in Assicurazioni Generali on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Assicurazioni Generali SpA or generate 0.0% return on investment in Assicurazioni Generali over 240 days. Assicurazioni Generali is related to or competes with Berkshire Hathaway, Allianz SE, AXA SA, AXA SA, Hartford Financial, Swiss Life, and Talanx AG. More
Assicurazioni Generali 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 Assicurazioni Generali'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 Assicurazioni Generali SpA upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.9229 | |||
Information Ratio | (0.0005) | |||
Maximum Drawdown | 7.0 | |||
Value At Risk | (1.42) | |||
Potential Upside | 1.68 |
Assicurazioni Generali Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Assicurazioni Generali's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Assicurazioni Generali's standard deviation. In reality, there are many statistical measures that can use Assicurazioni Generali historical prices to predict the future Assicurazioni Generali's volatility.Risk Adjusted Performance | 0.096 | |||
Jensen Alpha | 0.1132 | |||
Total Risk Alpha | (0.06) | |||
Sortino Ratio | (0.0006) | |||
Treynor Ratio | 1.17 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Assicurazioni Generali'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.
Assicurazioni Generali Backtested Returns
Currently, Assicurazioni Generali SpA is very steady. Assicurazioni Generali secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the company had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Assicurazioni Generali SpA, which you can use to evaluate the volatility of the firm. Please confirm Assicurazioni Generali's Mean Deviation of 0.7946, downside deviation of 0.9229, and Risk Adjusted Performance of 0.096 to double-check if the risk estimate we provide is consistent with the expected return of 0.14%. Assicurazioni Generali has a performance score of 9 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Assicurazioni Generali's returns are expected to increase less than the market. However, during the bear market, the loss of holding Assicurazioni Generali is expected to be smaller as well. Assicurazioni Generali right now shows a risk of 1.14%. Please confirm Assicurazioni Generali treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to decide if Assicurazioni Generali will be following its price patterns.
Auto-correlation | 0.80 |
Very good predictability
Assicurazioni Generali SpA has very good predictability. Overlapping area represents the amount of predictability between Assicurazioni Generali time series from 6th of April 2024 to 4th of August 2024 and 4th of August 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 Assicurazioni Generali price movement. The serial correlation of 0.8 indicates that around 80.0% of current Assicurazioni Generali price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.8 | |
Spearman Rank Test | 0.59 | |
Residual Average | 0.0 | |
Price Variance | 1.9 |
Assicurazioni Generali lagged returns against current returns
Autocorrelation, which is Assicurazioni Generali 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 Assicurazioni Generali's stock expected returns. We can calculate the autocorrelation of Assicurazioni Generali returns to help us make a trade decision. For example, suppose you find that Assicurazioni Generali 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 |
Assicurazioni Generali 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 Assicurazioni Generali stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Assicurazioni Generali stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Assicurazioni Generali stock over time.
Current vs Lagged Prices |
Timeline |
Assicurazioni Generali Lagged Returns
When evaluating Assicurazioni Generali's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Assicurazioni Generali stock have on its future price. Assicurazioni Generali 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, Assicurazioni Generali autocorrelation shows the relationship between Assicurazioni Generali stock current value and its past values and can show if there is a momentum factor associated with investing in Assicurazioni Generali SpA.
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 Tools for Assicurazioni Stock Analysis
When running Assicurazioni Generali's price analysis, check to measure Assicurazioni Generali'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 Assicurazioni Generali is operating at the current time. Most of Assicurazioni Generali's value examination focuses on studying past and present price action to predict the probability of Assicurazioni Generali's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Assicurazioni Generali's price. Additionally, you may evaluate how the addition of Assicurazioni Generali to your portfolios can decrease your overall portfolio volatility.