Park City's market value is the price at which a share of Park City trades on a public exchange. It measures the collective expectations of Park City Group investors about its performance. Park City is trading at 21.80 as of the 7th of January 2025. This is a 0.93 percent increase since the beginning of the trading day. The stock's lowest day price was 21.4. With this module, you can estimate the performance of a buy and hold strategy of Park City Group and determine expected loss or profit from investing in Park City over a given investment horizon. Check out Park City Correlation, Park City Volatility and Park City Alpha and Beta module to complement your research on Park City.
Please note, there is a significant difference between Park City's value and its price as these two are different measures arrived at by different means. Investors typically determine if Park City is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Park City'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.
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.
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.
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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Park City. Your research has to be compared to or analyzed against Park City's peers to derive any actionable benefits. When done correctly, Park City's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Park City Group.
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 0.15, which implies the firm had a 0.15% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Park City Group, which you can use to evaluate the volatility of the company. Please evaluate Park City's Semi Deviation of 2.39, coefficient of variation of 637.35, and Risk Adjusted Performance of 0.1343 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 11. The company holds a Beta of -0.43, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Park City are expected to decrease at a much lower rate. During the bear market, Park City is likely to outperform the market. 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
0.73
Good predictability
Park City Group has good predictability. Overlapping area represents the amount of predictability between Park City time series from 12th of May 2024 to 9th of September 2024 and 9th of September 2024 to 7th 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 0.73 indicates that around 73.0% of current Park City price fluctuation can be explain by its past prices.
Correlation Coefficient
0.73
Spearman Rank Test
0.6
Residual Average
0.0
Price Variance
4.49
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.
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.