Palo Alto Networks Stock Market Value
| PANW Stock | 23.68 0.17 0.72% |
| 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.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in PALO ALTO on October 27, 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 30 days. PALO ALTO is related to or competes with Payfare, Nubeva Technologies, and Venzee Technologies. PALO ALTO is entity of Canada. It is traded as Stock on NEO exchange. 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 | 2.18 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 10.01 | |||
| Value At Risk | (2.94) | |||
| Potential Upside | 2.23 |
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 | 0.052 | |||
| Jensen Alpha | 0.0395 | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.2007 |
PALO ALTO NETWORKS Backtested Returns
At this point, PALO ALTO is very steady. PALO ALTO NETWORKS maintains Sharpe Ratio (i.e., Efficiency) of 0.0912, which implies the company had a 0.0912% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for PALO ALTO NETWORKS, which you can use to evaluate the volatility of the entity. Please check PALO ALTO's market risk adjusted performance of 0.2107, and Coefficient Of Variation of 1657.63 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. PALO ALTO has a performance score of 7 on a scale of 0 to 100. The firm holds a Beta of 0.49, 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. PALO ALTO NETWORKS now holds a risk of 1.82%. Please check PALO ALTO NETWORKS sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to decide if PALO ALTO NETWORKS will be following its historical price patterns.
Auto-correlation | -0.42 |
Modest reverse predictability
PALO ALTO NETWORKS has modest reverse predictability. Overlapping area represents the amount of predictability between PALO ALTO time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 PALO ALTO NETWORKS price movement. The serial correlation of -0.42 indicates that just about 42.0% of current PALO ALTO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
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 |
Pair Trading with PALO ALTO
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if PALO ALTO position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in PALO ALTO will appreciate offsetting losses from the drop in the long position's value.Moving against PALO Stock
| 0.75 | VENZ | Venzee Technologies Earnings Call Tomorrow | PairCorr |
| 0.73 | VERS | VERSES AI | PairCorr |
| 0.69 | TD | Toronto Dominion Bank | PairCorr |
| 0.58 | PAY | Payfare | PairCorr |
| 0.44 | NBVA | Nubeva Technologies | PairCorr |
The ability to find closely correlated positions to PALO ALTO could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PALO ALTO when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back PALO ALTO - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling PALO ALTO NETWORKS to buy it.
The correlation of PALO ALTO is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as PALO ALTO moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PALO ALTO NETWORKS moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for PALO ALTO can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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.