PX Prague's market value is the price at which a share of PX Prague trades on a public exchange. It measures the collective expectations of PX Prague Stock investors about its performance. PX Prague is available at 1682.18 as of the 30th of November 2024; that is 0.33 percent decrease since the beginning of the trading day. The index's open price was 1687.72. With this module, you can estimate the performance of a buy and hold strategy of PX Prague Stock and determine expected loss or profit from investing in PX Prague over a given investment horizon. Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
PX Prague
PX Prague '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 PX Prague's index 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 PX Prague.
0.00
06/03/2024
No Change 0.00
0.0
In 5 months and 30 days
11/30/2024
0.00
If you would invest 0.00 in PX Prague on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding PX Prague Stock or generate 0.0% return on investment in PX Prague over 180 days.
PX Prague 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 PX Prague's index 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 PX Prague Stock 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 PX Prague's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PX Prague's standard deviation. In reality, there are many statistical measures that can use PX Prague historical prices to predict the future PX Prague's volatility.
PX Prague Stock retains Efficiency (Sharpe Ratio) of 0.16, which implies the entity had a 0.16% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for PX Prague, which you can use to evaluate the volatility of the index. The index owns a Beta (Systematic Risk) of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and PX Prague are completely uncorrelated.
Auto-correlation
0.38
Below average predictability
PX Prague Stock has below average predictability. Overlapping area represents the amount of predictability between PX Prague time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of PX Prague Stock price movement. The serial correlation of 0.38 indicates that just about 38.0% of current PX Prague price fluctuation can be explain by its past prices.
Correlation Coefficient
0.38
Spearman Rank Test
0.46
Residual Average
0.0
Price Variance
1584.75
PX Prague Stock lagged returns against current returns
Autocorrelation, which is PX Prague index'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 PX Prague's index expected returns. We can calculate the autocorrelation of PX Prague returns to help us make a trade decision. For example, suppose you find that PX Prague has exhibited high autocorrelation historically, and you observe that the index 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
PX Prague 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 PX Prague index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PX Prague index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PX Prague index over time.
Current vs Lagged Prices
Timeline
PX Prague Lagged Returns
When evaluating PX Prague's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PX Prague index have on its future price. PX Prague 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, PX Prague autocorrelation shows the relationship between PX Prague index current value and its past values and can show if there is a momentum factor associated with investing in PX Prague Stock.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.