Pilulka Lekarny (Czech Republic) Market Value
PINK Stock | CZK 181.00 9.00 4.74% |
Symbol | Pilulka |
Pilulka Lekarny '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 Pilulka Lekarny'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 Pilulka Lekarny.
03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Pilulka Lekarny on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Pilulka Lekarny as or generate 0.0% return on investment in Pilulka Lekarny over 30 days. Pilulka Lekarny is related to or competes with Cez AS, Kofola CeskoSlovensko, MT 1997, HARDWARIO, Coloseum Holding, Primoco UAV, and Prabos Plus. Pilulka Lkrny a.s. operates a chain of pharmacies in the Czech Republic More
Pilulka Lekarny 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 Pilulka Lekarny'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 Pilulka Lekarny as upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.29) | |||
Maximum Drawdown | 9.89 | |||
Value At Risk | (3.50) | |||
Potential Upside | 2.7 |
Pilulka Lekarny Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pilulka Lekarny's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pilulka Lekarny's standard deviation. In reality, there are many statistical measures that can use Pilulka Lekarny historical prices to predict the future Pilulka Lekarny's volatility.Risk Adjusted Performance | (0.14) | |||
Jensen Alpha | (0.50) | |||
Total Risk Alpha | (0.77) | |||
Treynor Ratio | (10.90) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pilulka Lekarny's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Pilulka Lekarny as Backtested Returns
Pilulka Lekarny as maintains Sharpe Ratio (i.e., Efficiency) of -0.29, which implies the firm had a -0.29% return per unit of risk over the last 3 months. Pilulka Lekarny as exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pilulka Lekarny's Coefficient Of Variation of (416.11), variance of 4.03, and Risk Adjusted Performance of (0.14) to confirm the risk estimate we provide. The company holds a Beta of 0.0452, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pilulka Lekarny's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pilulka Lekarny is expected to be smaller as well. Pilulka Lekarny as has an expected return of -0.6%. Please make sure to check Pilulka Lekarny as treynor ratio, value at risk, skewness, as well as the relationship between the maximum drawdown and potential upside , to decide if Pilulka Lekarny as performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.72 |
Good predictability
Pilulka Lekarny as has good predictability. Overlapping area represents the amount of predictability between Pilulka Lekarny time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 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 Pilulka Lekarny as price movement. The serial correlation of 0.72 indicates that around 72.0% of current Pilulka Lekarny price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.72 | |
Spearman Rank Test | 0.49 | |
Residual Average | 0.0 | |
Price Variance | 12.89 |
Pilulka Lekarny as lagged returns against current returns
Autocorrelation, which is Pilulka Lekarny 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 Pilulka Lekarny's stock expected returns. We can calculate the autocorrelation of Pilulka Lekarny returns to help us make a trade decision. For example, suppose you find that Pilulka Lekarny 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 |
Pilulka Lekarny 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 Pilulka Lekarny stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pilulka Lekarny stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pilulka Lekarny stock over time.
Current vs Lagged Prices |
Timeline |
Pilulka Lekarny Lagged Returns
When evaluating Pilulka Lekarny's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pilulka Lekarny stock have on its future price. Pilulka Lekarny 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, Pilulka Lekarny autocorrelation shows the relationship between Pilulka Lekarny stock current value and its past values and can show if there is a momentum factor associated with investing in Pilulka Lekarny as.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Pilulka Lekarny in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Pilulka Lekarny's short interest history, or implied volatility extrapolated from Pilulka Lekarny options trading.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Pilulka Lekarny as using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Pilulka Lekarny Correlation, Pilulka Lekarny Volatility and Pilulka Lekarny Alpha and Beta module to complement your research on Pilulka Lekarny. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Complementary Tools for Pilulka Stock analysis
When running Pilulka Lekarny's price analysis, check to measure Pilulka Lekarny's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Pilulka Lekarny is operating at the current time. Most of Pilulka Lekarny's value examination focuses on studying past and present price action to predict the probability of Pilulka Lekarny's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pilulka Lekarny's price. Additionally, you may evaluate how the addition of Pilulka Lekarny to your portfolios can decrease your overall portfolio volatility.
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Stocks Directory Find actively traded stocks across global markets | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
AI Investment Finder Use AI to screen and filter profitable investment opportunities | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios |
Pilulka Lekarny 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.