Republic Power Group Stock Market Value
| RPGL Stock | 0.27 0.01 3.57% |
| Symbol | Republic |
Republic Power Group Company Valuation
Is Software - Application 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 Republic Power. If investors know Republic 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 Republic Power listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.02 | Revenue Per Share | Quarterly Revenue Growth 48.927 | Return On Assets | Return On Equity |
The market value of Republic Power Group is measured differently than its book value, which is the value of Republic that is recorded on the company's balance sheet. Investors also form their own opinion of Republic Power's value that differs from its market value or its book value, called intrinsic value, which is Republic Power's 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 Republic Power's market value can be influenced by many factors that don't directly affect Republic Power's 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 Republic Power's value and its price as these two are different measures arrived at by different means. Investors typically determine if Republic Power is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Republic Power's 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.
Republic Power '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 Republic Power'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 Republic Power.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in Republic Power on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding Republic Power Group or generate 0.0% return on investment in Republic Power over 30 days. Republic Power is related to or competes with NETCLASS TECHNOLOGY, Nextplat Corp, SAGTEC GLOBAL, Real Messenger, Veea, UTStarcom Holdings, and MIND CTI. Republic Power is entity of United States More
Republic Power 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 Republic Power'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 Republic Power Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 68.56 | |||
| Value At Risk | (42.95) | |||
| Potential Upside | 20.0 |
Republic Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Republic Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Republic Power's standard deviation. In reality, there are many statistical measures that can use Republic Power historical prices to predict the future Republic Power's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (4.37) | |||
| Total Risk Alpha | (5.52) | |||
| Treynor Ratio | (0.53) |
Republic Power Group Backtested Returns
Republic Power Group maintains Sharpe Ratio (i.e., Efficiency) of -0.23, which implies the firm had a -0.23 % return per unit of risk over the last 3 months. Republic Power Group exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Republic Power's Risk Adjusted Performance of (0.15), coefficient of variation of (435.39), and Variance of 279.78 to confirm the risk estimate we provide. The company holds a Beta of 7.32, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Republic Power will likely underperform. At this point, Republic Power Group has a negative expected return of -3.77%. Please make sure to check Republic Power's treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Republic Power Group performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.84 |
Excellent reverse predictability
Republic Power Group has excellent reverse predictability. Overlapping area represents the amount of predictability between Republic Power time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 Republic Power Group price movement. The serial correlation of -0.84 indicates that around 84.0% of current Republic Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.84 | |
| Spearman Rank Test | -0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Republic Power Group lagged returns against current returns
Autocorrelation, which is Republic Power 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 Republic Power's stock expected returns. We can calculate the autocorrelation of Republic Power returns to help us make a trade decision. For example, suppose you find that Republic Power 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 |
Republic Power 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 Republic Power stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Republic Power stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Republic Power stock over time.
Current vs Lagged Prices |
| Timeline |
Republic Power Lagged Returns
When evaluating Republic Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Republic Power stock have on its future price. Republic Power 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, Republic Power autocorrelation shows the relationship between Republic Power stock current value and its past values and can show if there is a momentum factor associated with investing in Republic Power Group.
Regressed Prices |
| Timeline |
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Republic Power 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.