Park Elektrik (Turkey) Market Value
| PRKME Stock | TRY 25.52 0.26 1.03% |
| Symbol | Park |
Park Elektrik '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 Elektrik'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 Elektrik.
| 04/07/2024 |
| 05/07/2024 |
If you would invest 0.00 in Park Elektrik on April 7, 2024 and sell it all today you would earn a total of 0.00 from holding Park Elektrik Uretim or generate 0.0% return on investment in Park Elektrik over 30 days. Park Elektrik is related to or competes with Turkiye Garanti, Yapi Ve, Akbank TAS, Turkiye Is, Turkiye Is, Turkiye Vakiflar, and Koc Holding. Park Elektrik retim Madencilik Sanayi ve Ticaret A.S., through its subsidiary, Konya Ilgin Elektrik retim Sanayi ve Tica... More
Park Elektrik 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 Elektrik'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 Elektrik Uretim upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.2 | |||
| Information Ratio | 0.044 | |||
| Maximum Drawdown | 16.92 | |||
| Value At Risk | (5.22) | |||
| Potential Upside | 5.68 |
Park Elektrik Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Park Elektrik's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Park Elektrik's standard deviation. In reality, there are many statistical measures that can use Park Elektrik historical prices to predict the future Park Elektrik's volatility.| Risk Adjusted Performance | 0.05 | |||
| Jensen Alpha | 0.1621 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.0447 | |||
| Treynor Ratio | 0.2936 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Park Elektrik'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.
Park Elektrik Uretim Backtested Returns
We consider Park Elektrik not too volatile. Park Elektrik Uretim maintains Sharpe Ratio (i.e., Efficiency) of 0.0475, which implies the firm had a 0.0475% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Park Elektrik Uretim, which you can use to evaluate the volatility of the company. Please check Park Elektrik's Semi Deviation of 2.95, coefficient of variation of 1489.14, and Risk Adjusted Performance of 0.05 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. Park Elektrik has a performance score of 3 on a scale of 0 to 100. The company holds a Beta of 0.71, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Park Elektrik's returns are expected to increase less than the market. However, during the bear market, the loss of holding Park Elektrik is expected to be smaller as well. Park Elektrik Uretim right now holds a risk of 3.41%. Please check Park Elektrik Uretim expected short fall, and the relationship between the value at risk and daily balance of power , to decide if Park Elektrik Uretim will be following its historical price patterns.
Auto-correlation | -0.53 |
Good reverse predictability
Park Elektrik Uretim has good reverse predictability. Overlapping area represents the amount of predictability between Park Elektrik time series from 7th of April 2024 to 22nd of April 2024 and 22nd of April 2024 to 7th of May 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 Park Elektrik Uretim price movement. The serial correlation of -0.53 indicates that about 53.0% of current Park Elektrik price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 1.73 |
Park Elektrik Uretim lagged returns against current returns
Autocorrelation, which is Park Elektrik 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 Elektrik's stock expected returns. We can calculate the autocorrelation of Park Elektrik returns to help us make a trade decision. For example, suppose you find that Park Elektrik 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 Elektrik 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 Elektrik stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Park Elektrik stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Park Elektrik stock over time.
Current vs Lagged Prices |
| Timeline |
Park Elektrik Lagged Returns
When evaluating Park Elektrik's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Park Elektrik stock have on its future price. Park Elektrik 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 Elektrik autocorrelation shows the relationship between Park Elektrik stock current value and its past values and can show if there is a momentum factor associated with investing in Park Elektrik Uretim.
Regressed Prices |
| Timeline |
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Park Elektrik Uretim 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 Park Elektrik Correlation, Park Elektrik Volatility and Park Elektrik Alpha and Beta module to complement your research on Park Elektrik. Note that the Park Elektrik Uretim information on this page should be used as a complementary analysis to other Park Elektrik's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Complementary Tools for Park Stock analysis
When running Park Elektrik's price analysis, check to measure Park Elektrik'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 Park Elektrik is operating at the current time. Most of Park Elektrik's value examination focuses on studying past and present price action to predict the probability of Park Elektrik's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Park Elektrik's price. Additionally, you may evaluate how the addition of Park Elektrik to your portfolios can decrease your overall portfolio volatility.
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |
Park Elektrik 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.