Rego Payment Architectures Stock Market Value
| RPMT Stock | USD 0.89 0.02 2.20% |
| Symbol | Rego |
Rego Payment '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 Rego Payment's otc 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 Rego Payment.
| 12/23/2024 |
| 01/22/2025 |
If you would invest 0.00 in Rego Payment on December 23, 2024 and sell it all today you would earn a total of 0.00 from holding Rego Payment Architectures or generate 0.0% return on investment in Rego Payment over 30 days. Rego Payment is related to or competes with Mobivity Holdings, RESAAS Services, and Intouch Insight. Rego Payment Architectures, Inc., together with its subsidiaries, provides consumer software solutions More
Rego Payment 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 Rego Payment's otc 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 Rego Payment Architectures upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 17.18 | |||
| Value At Risk | (5.88) | |||
| Potential Upside | 6.38 |
Rego Payment Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rego Payment's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rego Payment's standard deviation. In reality, there are many statistical measures that can use Rego Payment historical prices to predict the future Rego Payment's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 4.44 |
Rego Payment Archite Backtested Returns
Rego Payment Archite maintains Sharpe Ratio (i.e., Efficiency) of -0.0329, which implies the firm had a -0.0329 % return per unit of risk over the last 3 months. Rego Payment Archite exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Rego Payment's Variance of 13.56, coefficient of variation of (1,534), and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The company holds a Beta of -0.0563, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Rego Payment are expected to decrease at a much lower rate. During the bear market, Rego Payment is likely to outperform the market. At this point, Rego Payment Archite has a negative expected return of -0.12%. Please make sure to check Rego Payment's standard deviation, potential upside, as well as the relationship between the Potential Upside and day median price , to decide if Rego Payment Archite performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.35 |
Poor reverse predictability
Rego Payment Architectures has poor reverse predictability. Overlapping area represents the amount of predictability between Rego Payment time series from 23rd of December 2024 to 7th of January 2025 and 7th of January 2025 to 22nd of January 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 Rego Payment Archite price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Rego Payment price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Rego Payment Archite lagged returns against current returns
Autocorrelation, which is Rego Payment otc 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 Rego Payment's otc stock expected returns. We can calculate the autocorrelation of Rego Payment returns to help us make a trade decision. For example, suppose you find that Rego Payment has exhibited high autocorrelation historically, and you observe that the otc 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 |
Rego Payment 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 Rego Payment otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rego Payment otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rego Payment otc stock over time.
Current vs Lagged Prices |
| Timeline |
Rego Payment Lagged Returns
When evaluating Rego Payment's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rego Payment otc stock have on its future price. Rego Payment 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, Rego Payment autocorrelation shows the relationship between Rego Payment otc stock current value and its past values and can show if there is a momentum factor associated with investing in Rego Payment Architectures.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Rego OTC Stock Analysis
When running Rego Payment's price analysis, check to measure Rego Payment's 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 Rego Payment is operating at the current time. Most of Rego Payment's value examination focuses on studying past and present price action to predict the probability of Rego Payment's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Rego Payment's price. Additionally, you may evaluate how the addition of Rego Payment to your portfolios can decrease your overall portfolio volatility.