Park City (Germany) Market Value
| PJ4A Stock | EUR 20.80 0.20 0.97% |
| Symbol | Park |
Park City '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 Park City'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 Park City.
| 12/24/2024 |
| 01/23/2025 |
If you would invest 0.00 in Park City on December 24, 2024 and sell it all today you would earn a total of 0.00 from holding Park City Group or generate 0.0% return on investment in Park City over 30 days. Park City is related to or competes with JD SPORTS, Gaztransport Technigaz, SMA Solar, PARKEN Sport, USWE SPORTS, GMO Internet, and Align Technology. Park City Group, Inc., a software-as-a-service provider, designs, develops, and markets proprietary software products in... More
Park City 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 Park City'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 Park City Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.11 | |||
| Information Ratio | 0.0816 | |||
| Maximum Drawdown | 15.06 | |||
| Value At Risk | (4.96) | |||
| Potential Upside | 5.67 |
Park City Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Park City's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Park City's standard deviation. In reality, there are many statistical measures that can use Park City historical prices to predict the future Park City's volatility.| Risk Adjusted Performance | 0.0859 | |||
| Jensen Alpha | 0.2706 | |||
| Total Risk Alpha | 0.1818 | |||
| Sortino Ratio | 0.0797 | |||
| Treynor Ratio | 2.97 |
Park City Group Backtested Returns
Park City appears to be not too volatile, given 3 months investment horizon. Park City Group maintains Sharpe Ratio (i.e., Efficiency) of 0.0932, which implies the firm had a 0.0932 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Park City Group, which you can use to evaluate the volatility of the company. Please evaluate Park City's Risk Adjusted Performance of 0.0859, semi deviation of 2.4, and Coefficient Of Variation of 1072.43 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Park City holds a performance score of 7. The company holds a Beta of 0.0919, which implies not very significant fluctuations relative to the market. As returns on the market increase, Park City's returns are expected to increase less than the market. However, during the bear market, the loss of holding Park City is expected to be smaller as well. Please check Park City's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to make a quick decision on whether Park City's historical price patterns will revert.
Auto-correlation | -0.92 |
Near perfect reversele predictability
Park City Group has near perfect reversele predictability. Overlapping area represents the amount of predictability between Park City time series from 24th of December 2024 to 8th of January 2025 and 8th of January 2025 to 23rd 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 Park City Group price movement. The serial correlation of -0.92 indicates that approximately 92.0% of current Park City price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.92 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Park City Group lagged returns against current returns
Autocorrelation, which is Park City 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 Park City's stock expected returns. We can calculate the autocorrelation of Park City returns to help us make a trade decision. For example, suppose you find that Park City 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 |
Park City 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 Park City stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Park City stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Park City stock over time.
Current vs Lagged Prices |
| Timeline |
Park City Lagged Returns
When evaluating Park City's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Park City stock have on its future price. Park City 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, Park City autocorrelation shows the relationship between Park City stock current value and its past values and can show if there is a momentum factor associated with investing in Park City Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Park Stock
Park City financial ratios help investors to determine whether Park Stock 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 Park with respect to the benefits of owning Park City security.