Petrokent Turizm (Turkey) Market Value
| PKENT Stock | TRY 342.00 15.25 4.27% |
| Symbol | Petrokent |
Petrokent Turizm '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 Petrokent Turizm'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 Petrokent Turizm.
| 05/11/2022 |
| 04/30/2024 |
If you would invest 0.00 in Petrokent Turizm on May 11, 2022 and sell it all today you would earn a total of 0.00 from holding Petrokent Turizm AS or generate 0.0% return on investment in Petrokent Turizm over 720 days. Petrokent Turizm is related to or competes with Koc Holding, Turkish Airlines, Turkiye Garanti, Turkiye Petrol, Yapi Ve, Haci Omer, and Akbank TAS. PETROKENT TURIZM operates under Resorts Casinos classification in Turkey and is traded on Istanbul Stock Exchange More
Petrokent Turizm 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 Petrokent Turizm'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 Petrokent Turizm AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.33 | |||
| Information Ratio | 0.0996 | |||
| Maximum Drawdown | 19.96 | |||
| Value At Risk | (6.87) | |||
| Potential Upside | 9.94 |
Petrokent Turizm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Petrokent Turizm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Petrokent Turizm's standard deviation. In reality, there are many statistical measures that can use Petrokent Turizm historical prices to predict the future Petrokent Turizm's volatility.| Risk Adjusted Performance | 0.0825 | |||
| Jensen Alpha | 0.5563 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.1101 | |||
| Treynor Ratio | (84.21) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Petrokent Turizm'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.
Petrokent Turizm Backtested Returns
Petrokent Turizm appears to be very steady, given 3 months investment horizon. Petrokent Turizm maintains Sharpe Ratio (i.e., Efficiency) of 0.11, which implies the firm had a 0.11% return per unit of risk over the last 3 months. By analyzing Petrokent Turizm's technical indicators, you can evaluate if the expected return of 0.54% is justified by implied risk. Please evaluate Petrokent Turizm's Semi Deviation of 4.04, coefficient of variation of 845.91, and Risk Adjusted Performance of 0.0825 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Petrokent Turizm holds a performance score of 8. The company holds a Beta of -0.0066, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Petrokent Turizm are expected to decrease at a much lower rate. During the bear market, Petrokent Turizm is likely to outperform the market. Please check Petrokent Turizm's downside variance, as well as the relationship between the accumulation distribution and market facilitation index , to make a quick decision on whether Petrokent Turizm's historical price patterns will revert.
Auto-correlation | -0.36 |
Poor reverse predictability
Petrokent Turizm AS has poor reverse predictability. Overlapping area represents the amount of predictability between Petrokent Turizm time series from 11th of May 2022 to 6th of May 2023 and 6th of May 2023 to 30th 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 Petrokent Turizm price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Petrokent Turizm price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 8007.67 |
Petrokent Turizm lagged returns against current returns
Autocorrelation, which is Petrokent Turizm 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 Petrokent Turizm's stock expected returns. We can calculate the autocorrelation of Petrokent Turizm returns to help us make a trade decision. For example, suppose you find that Petrokent Turizm 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 |
Petrokent Turizm 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 Petrokent Turizm stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Petrokent Turizm stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Petrokent Turizm stock over time.
Current vs Lagged Prices |
| Timeline |
Petrokent Turizm Lagged Returns
When evaluating Petrokent Turizm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Petrokent Turizm stock have on its future price. Petrokent Turizm 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, Petrokent Turizm autocorrelation shows the relationship between Petrokent Turizm stock current value and its past values and can show if there is a momentum factor associated with investing in Petrokent Turizm AS.
Regressed Prices |
| Timeline |
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Align your risk with return expectations
Check out Petrokent Turizm Correlation, Petrokent Turizm Volatility and Petrokent Turizm Alpha and Beta module to complement your research on Petrokent Turizm. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Complementary Tools for Petrokent Stock analysis
When running Petrokent Turizm's price analysis, check to measure Petrokent Turizm'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 Petrokent Turizm is operating at the current time. Most of Petrokent Turizm's value examination focuses on studying past and present price action to predict the probability of Petrokent Turizm's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Petrokent Turizm's price. Additionally, you may evaluate how the addition of Petrokent Turizm to your portfolios can decrease your overall portfolio volatility.
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Petrokent Turizm 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.