Palo Alto (Germany) Market Value
| 5AP Stock | EUR 297.55 1.70 0.57% |
| Symbol | Palo |
Palo Alto '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 Palo Alto'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 Palo Alto.
| 03/17/2024 |
| 06/15/2024 |
If you would invest 0.00 in Palo Alto on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Palo Alto Networks or generate 0.0% return on investment in Palo Alto over 90 days. Palo Alto is related to or competes with SIVERS SEMICONDUCTORS, Reliance Steel, Meli Hotels, HeidelbergCement, IMPERIAL TOBACCO, Hemisphere Energy, and ISUN INC. Palo Alto Networks, Inc. provides security platform solutions worldwide More
Palo Alto 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 Palo Alto'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 Palo Alto Networks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.67 | |||
| Information Ratio | 0.1378 | |||
| Maximum Drawdown | 7.57 | |||
| Value At Risk | (2.56) | |||
| Potential Upside | 2.9 |
Palo Alto Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Palo Alto's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Palo Alto's standard deviation. In reality, there are many statistical measures that can use Palo Alto historical prices to predict the future Palo Alto's volatility.| Risk Adjusted Performance | 0.0912 | |||
| Jensen Alpha | 0.2216 | |||
| Total Risk Alpha | 0.2501 | |||
| Sortino Ratio | 0.1376 | |||
| Treynor Ratio | 0.5873 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Palo Alto'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.
Palo Alto Networks Backtested Returns
Palo Alto appears to be very steady, given 3 months investment horizon. Palo Alto Networks maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the firm had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for Palo Alto Networks, which you can use to evaluate the volatility of the company. Please evaluate Palo Alto's Coefficient Of Variation of 733.22, risk adjusted performance of 0.0912, and Semi Deviation of 1.43 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Palo Alto holds a performance score of 10. The company holds a Beta of 0.37, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Palo Alto's returns are expected to increase less than the market. However, during the bear market, the loss of holding Palo Alto is expected to be smaller as well. Please check Palo Alto's semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to make a quick decision on whether Palo Alto's historical price patterns will revert.
Auto-correlation | -0.17 |
Insignificant reverse predictability
Palo Alto Networks has insignificant reverse predictability. Overlapping area represents the amount of predictability between Palo Alto time series from 17th of March 2024 to 1st of May 2024 and 1st of May 2024 to 15th of June 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 Palo Alto Networks price movement. The serial correlation of -0.17 indicates that over 17.0% of current Palo Alto price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 78.17 |
Palo Alto Networks lagged returns against current returns
Autocorrelation, which is Palo Alto 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 Palo Alto's stock expected returns. We can calculate the autocorrelation of Palo Alto returns to help us make a trade decision. For example, suppose you find that Palo Alto 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 |
Palo Alto 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 Palo Alto stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Palo Alto stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Palo Alto stock over time.
Current vs Lagged Prices |
| Timeline |
Palo Alto Lagged Returns
When evaluating Palo Alto's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Palo Alto stock have on its future price. Palo Alto 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, Palo Alto autocorrelation shows the relationship between Palo Alto stock current value and its past values and can show if there is a momentum factor associated with investing in Palo Alto Networks.
Regressed Prices |
| Timeline |
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Additional Information and Resources on Investing in Palo Stock
When determining whether Palo Alto Networks is a strong investment it is important to analyze Palo Alto's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Palo Alto's future performance. For an informed investment choice regarding Palo Stock, refer to the following important reports:Check out Palo Alto Correlation, Palo Alto Volatility and Palo Alto Alpha and Beta module to complement your research on Palo Alto. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Palo Alto 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.