PAY Market Value
| PAY Crypto | USD 0.01 0 16.96% |
| Symbol | PAY |
PAY '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 PAY's crypto coin 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 PAY.
| 12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in PAY on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding PAY or generate 0.0% return on investment in PAY over 720 days. PAY is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. PAY is peer-to-peer digital currency powered by the Blockchain technology.
PAY 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 PAY's crypto coin 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 PAY upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.1 | |||
| Information Ratio | 0.04 | |||
| Maximum Drawdown | 46.61 | |||
| Value At Risk | (11.27) | |||
| Potential Upside | 16.3 |
PAY Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PAY's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PAY's standard deviation. In reality, there are many statistical measures that can use PAY historical prices to predict the future PAY's volatility.| Risk Adjusted Performance | 0.0513 | |||
| Jensen Alpha | 0.5566 | |||
| Total Risk Alpha | (0.90) | |||
| Sortino Ratio | 0.0429 | |||
| Treynor Ratio | (0.64) |
PAY Backtested Returns
PAY appears to be exceptionally volatile, given 3 months investment horizon. PAY maintains Sharpe Ratio (i.e., Efficiency) of 0.0539, which implies digital coin had a 0.0539% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for PAY, which you can use to evaluate the volatility of coin. Please evaluate PAY's Coefficient Of Variation of 1817.01, market risk adjusted performance of (0.63), and Mean Deviation of 6.52 to confirm if our risk estimates are consistent with your expectations. The entity holds a Beta of -0.73, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning PAY are expected to decrease at a much lower rate. During the bear market, PAY is likely to outperform the market.
Auto-correlation | -0.02 |
Very weak reverse predictability
PAY has very weak reverse predictability. Overlapping area represents the amount of predictability between PAY time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th 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 PAY price movement. The serial correlation of -0.02 indicates that only 2.0% of current PAY price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
PAY lagged returns against current returns
Autocorrelation, which is PAY crypto coin'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 PAY's crypto coin expected returns. We can calculate the autocorrelation of PAY returns to help us make a trade decision. For example, suppose you find that PAY has exhibited high autocorrelation historically, and you observe that the crypto coin 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 |
PAY 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 PAY crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PAY crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PAY crypto coin over time.
Current vs Lagged Prices |
| Timeline |
PAY Lagged Returns
When evaluating PAY's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PAY crypto coin have on its future price. PAY 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, PAY autocorrelation shows the relationship between PAY crypto coin current value and its past values and can show if there is a momentum factor associated with investing in PAY.
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.When determining whether PAY offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of PAY's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Pay Crypto.Check out PAY Correlation, PAY Volatility and Investing Opportunities module to complement your research on PAY. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
PAY technical crypto coin 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, crypto market cycles, or different charting patterns.