Pao's market value is the price at which a share of Pao trades on a public exchange. It measures the collective expectations of Pao Group investors about its performance. Pao is trading at 7.0E-4 as of the 31st of December 2025. This is a 16.67 percent increase since the beginning of the trading day. The stock's lowest day price was 6.0E-4. With this module, you can estimate the performance of a buy and hold strategy of Pao Group and determine expected loss or profit from investing in Pao over a given investment horizon. Check out Pao Correlation, Pao Volatility and Pao Alpha and Beta module to complement your research on Pao.
Please note, there is a significant difference between Pao's value and its price as these two are different measures arrived at by different means. Investors typically determine if Pao is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Pao'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.
Pao '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 Pao's pink sheet 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 Pao.
0.00
12/01/2025
No Change 0.00
0.0
In 30 days
12/31/2025
0.00
If you would invest 0.00 in Pao on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding Pao Group or generate 0.0% return on investment in Pao over 30 days. Pao is related to or competes with Vycor Medical. PAO Group, Inc. focuses on alternative patient care treatments More
Pao 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 Pao's pink sheet 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 Pao Group upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pao's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pao's standard deviation. In reality, there are many statistical measures that can use Pao historical prices to predict the future Pao's volatility.
Pao is out of control given 3 months investment horizon. Pao Group maintains Sharpe Ratio (i.e., Efficiency) of 0.21, which implies the firm had a 0.21 % return per unit of risk over the last 3 months. We were able to break down and interpolate data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 8.33% are justified by taking the suggested risk. Use Pao Semi Deviation of 15.37, coefficient of variation of 488.66, and Risk Adjusted Performance of 0.1537 to evaluate company specific risk that cannot be diversified away. Pao holds a performance score of 16 on a scale of zero to a hundred. The company holds a Beta of -1.25, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Pao are expected to decrease by larger amounts. On the other hand, during market turmoil, Pao is expected to outperform it. Use Pao maximum drawdown and the relationship between the semi variance and day typical price , to analyze future returns on Pao.
Auto-correlation
0.54
Modest predictability
Pao Group has modest predictability. Overlapping area represents the amount of predictability between Pao time series from 1st of December 2025 to 16th of December 2025 and 16th of December 2025 to 31st 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 Pao Group price movement. The serial correlation of 0.54 indicates that about 54.0% of current Pao price fluctuation can be explain by its past prices.
Correlation Coefficient
0.54
Spearman Rank Test
0.47
Residual Average
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Price Variance
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Pao Group lagged returns against current returns
Autocorrelation, which is Pao pink sheet'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 Pao's pink sheet expected returns. We can calculate the autocorrelation of Pao returns to help us make a trade decision. For example, suppose you find that Pao has exhibited high autocorrelation historically, and you observe that the pink sheet 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
Pao 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 Pao pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pao pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pao pink sheet over time.
Current vs Lagged Prices
Timeline
Pao Lagged Returns
When evaluating Pao's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pao pink sheet have on its future price. Pao 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, Pao autocorrelation shows the relationship between Pao pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Pao Group.
Pao financial ratios help investors to determine whether Pao Pink Sheet 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 Pao with respect to the benefits of owning Pao security.