Apptech Payments Corp Stock Market Value
| APCXW Stock | USD 0.14 0.03 15.06% |
| Symbol | AppTech |
AppTech Payments Corp Price To Book Ratio
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of AppTech Payments. If investors know AppTech will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about AppTech Payments listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (7.17) | Revenue Per Share 0.021 | Quarterly Revenue Growth (0.43) | Return On Assets (1.57) | Return On Equity (7.36) |
The market value of AppTech Payments Corp is measured differently than its book value, which is the value of AppTech that is recorded on the company's balance sheet. Investors also form their own opinion of AppTech Payments' value that differs from its market value or its book value, called intrinsic value, which is AppTech Payments' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because AppTech Payments' market value can be influenced by many factors that don't directly affect AppTech Payments' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between AppTech Payments' value and its price as these two are different measures arrived at by different means. Investors typically determine if AppTech Payments is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AppTech Payments' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
AppTech Payments '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 AppTech Payments' 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 AppTech Payments.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in AppTech Payments on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding AppTech Payments Corp or generate 0.0% return on investment in AppTech Payments over 30 days. AppTech Payments is related to or competes with BioAffinity Technologies, NextNav Warrant, and Guardforce. AppTech Payments Corp., a financial technology company, provides electronic payment processing technologies and merchant... More
AppTech Payments 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 AppTech Payments' 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 AppTech Payments Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 19.71 | |||
| Information Ratio | 0.0759 | |||
| Maximum Drawdown | 112.25 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 27.27 |
AppTech Payments Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AppTech Payments' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AppTech Payments' standard deviation. In reality, there are many statistical measures that can use AppTech Payments historical prices to predict the future AppTech Payments' volatility.| Risk Adjusted Performance | 0.0692 | |||
| Jensen Alpha | 2.01 | |||
| Total Risk Alpha | (1.46) | |||
| Sortino Ratio | 0.0733 | |||
| Treynor Ratio | (0.39) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AppTech Payments' 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.
AppTech Payments Corp Backtested Returns
AppTech Payments is out of control given 3 months investment horizon. AppTech Payments Corp secures Sharpe Ratio (or Efficiency) of 0.0608, which signifies that the company had a 0.0608% return per unit of risk over the last 3 months. We have analyzed and interpolated twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.09% are justified by taking the suggested risk. Use AppTech Payments Downside Deviation of 19.71, risk adjusted performance of 0.0692, and Mean Deviation of 11.12 to evaluate company specific risk that cannot be diversified away. AppTech Payments holds a performance score of 4 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -3.96, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning AppTech Payments are expected to decrease by larger amounts. On the other hand, during market turmoil, AppTech Payments is expected to outperform it. Use AppTech Payments maximum drawdown, as well as the relationship between the skewness and day typical price , to analyze future returns on AppTech Payments.
Auto-correlation | -0.33 |
Poor reverse predictability
AppTech Payments Corp has poor reverse predictability. Overlapping area represents the amount of predictability between AppTech Payments time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 AppTech Payments Corp price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current AppTech Payments price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AppTech Payments Corp lagged returns against current returns
Autocorrelation, which is AppTech Payments 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 AppTech Payments' stock expected returns. We can calculate the autocorrelation of AppTech Payments returns to help us make a trade decision. For example, suppose you find that AppTech Payments 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 |
AppTech Payments 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 AppTech Payments stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AppTech Payments stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AppTech Payments stock over time.
Current vs Lagged Prices |
| Timeline |
AppTech Payments Lagged Returns
When evaluating AppTech Payments' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AppTech Payments stock have on its future price. AppTech Payments 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, AppTech Payments autocorrelation shows the relationship between AppTech Payments stock current value and its past values and can show if there is a momentum factor associated with investing in AppTech Payments Corp.
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 AppTech Stock Analysis
When running AppTech Payments' price analysis, check to measure AppTech Payments' 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 AppTech Payments is operating at the current time. Most of AppTech Payments' value examination focuses on studying past and present price action to predict the probability of AppTech Payments' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AppTech Payments' price. Additionally, you may evaluate how the addition of AppTech Payments to your portfolios can decrease your overall portfolio volatility.