Payment Financial (Israel) Market Value
| PMNT Stock | 396.70 8.50 2.10% |
| Symbol | Payment |
Payment 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 Payment 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 Payment Financial.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Payment Financial on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Payment Financial Technologies or generate 0.0% return on investment in Payment Financial over 90 days. Payment Financial is related to or competes with Unicorn Technologies, Seach Medical, Purple Biotech, Unic Tech, Abra Information, Millennium Food, and Sofwave Medical. More
Payment 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 Payment 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 Payment Financial Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.11 | |||
| Information Ratio | 0.1626 | |||
| Maximum Drawdown | 21.11 | |||
| Value At Risk | (4.37) | |||
| Potential Upside | 6.48 |
Payment Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Payment Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Payment Financial's standard deviation. In reality, there are many statistical measures that can use Payment Financial historical prices to predict the future Payment Financial's volatility.| Risk Adjusted Performance | 0.1259 | |||
| Jensen Alpha | 0.4542 | |||
| Total Risk Alpha | 0.9573 | |||
| Sortino Ratio | 0.1937 | |||
| Treynor Ratio | (1.37) |
Payment Financial Backtested Returns
Payment Financial appears to be very steady, given 3 months investment horizon. Payment Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15 % return per unit of risk over the last 3 months. By analyzing Payment Financial's technical indicators, you can evaluate if the expected return of 0.54% is justified by implied risk. Please evaluate Payment Financial's Semi Deviation of 2.74, coefficient of variation of 736.01, and Risk Adjusted Performance of 0.1259 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Payment Financial holds a performance score of 11. The company holds a Beta of -0.36, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Payment Financial are expected to decrease at a much lower rate. During the bear market, Payment Financial is likely to outperform the market. Please check Payment Financial's potential upside, semi variance, and the relationship between the value at risk and downside variance , to make a quick decision on whether Payment Financial's historical price patterns will revert.
Auto-correlation | -0.67 |
Very good reverse predictability
Payment Financial Technologies has very good reverse predictability. Overlapping area represents the amount of predictability between Payment Financial time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Payment Financial price movement. The serial correlation of -0.67 indicates that around 67.0% of current Payment Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.67 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 688.43 |
Payment Financial lagged returns against current returns
Autocorrelation, which is Payment 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 Payment Financial's stock expected returns. We can calculate the autocorrelation of Payment Financial returns to help us make a trade decision. For example, suppose you find that Payment 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 |
Payment 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 Payment Financial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Payment Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Payment Financial stock over time.
Current vs Lagged Prices |
| Timeline |
Payment Financial Lagged Returns
When evaluating Payment Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Payment Financial stock have on its future price. Payment 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, Payment Financial autocorrelation shows the relationship between Payment Financial stock current value and its past values and can show if there is a momentum factor associated with investing in Payment Financial Technologies.
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.Other Information on Investing in Payment Stock
Payment Financial financial ratios help investors to determine whether Payment Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Payment with respect to the benefits of owning Payment Financial security.