Petkim Petrokimya (Turkey) Market Value
| PETKM Stock | TRY 20.72 0.24 1.15% |
| Symbol | Petkim |
Petkim Petrokimya '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 Petkim Petrokimya'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 Petkim Petrokimya.
| 03/02/2024 |
| 05/01/2024 |
If you would invest 0.00 in Petkim Petrokimya on March 2, 2024 and sell it all today you would earn a total of 0.00 from holding Petkim Petrokimya Holding or generate 0.0% return on investment in Petkim Petrokimya over 60 days. Petkim Petrokimya is related to or competes with Vestel Elektronik, Eregli Demir, Creditwest Faktoring, Anatolia Tani, Umpas Holding, Iskenderun Demir, and Turk Tuborg. Petkim Petrokimya Holding Anonim Sirketi operates as a petrochemical company in Turkey More
Petkim Petrokimya 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 Petkim Petrokimya'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 Petkim Petrokimya Holding upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.98 | |||
| Information Ratio | 0.0099 | |||
| Maximum Drawdown | 16.94 | |||
| Value At Risk | (4.08) | |||
| Potential Upside | 4.79 |
Petkim Petrokimya Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Petkim Petrokimya's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Petkim Petrokimya's standard deviation. In reality, there are many statistical measures that can use Petkim Petrokimya historical prices to predict the future Petkim Petrokimya's volatility.| Risk Adjusted Performance | 0.0283 | |||
| Jensen Alpha | 0.0858 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.0087 | |||
| Treynor Ratio | (0.36) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Petkim Petrokimya'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.
Petkim Petrokimya Holding Backtested Returns
Petkim Petrokimya Holding maintains Sharpe Ratio (i.e., Efficiency) of -0.0367, which implies the firm had a -0.0367% return per unit of risk over the last 3 months. Petkim Petrokimya Holding exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Petkim Petrokimya's Coefficient Of Variation of 3098.26, risk adjusted performance of 0.0283, and Semi Deviation of 2.86 to confirm the risk estimate we provide. The company holds a Beta of -0.21, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Petkim Petrokimya are expected to decrease at a much lower rate. During the bear market, Petkim Petrokimya is likely to outperform the market. Petkim Petrokimya Holding has an expected return of -0.0937%. Please make sure to check Petkim Petrokimya Holding downside variance, as well as the relationship between the accumulation distribution and market facilitation index , to decide if Petkim Petrokimya Holding performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.26 |
Weak reverse predictability
Petkim Petrokimya Holding has weak reverse predictability. Overlapping area represents the amount of predictability between Petkim Petrokimya time series from 2nd of March 2024 to 1st of April 2024 and 1st of April 2024 to 1st 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 Petkim Petrokimya Holding price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Petkim Petrokimya price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.52 |
Petkim Petrokimya Holding lagged returns against current returns
Autocorrelation, which is Petkim Petrokimya 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 Petkim Petrokimya's stock expected returns. We can calculate the autocorrelation of Petkim Petrokimya returns to help us make a trade decision. For example, suppose you find that Petkim Petrokimya 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 |
Petkim Petrokimya 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 Petkim Petrokimya stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Petkim Petrokimya stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Petkim Petrokimya stock over time.
Current vs Lagged Prices |
| Timeline |
Petkim Petrokimya Lagged Returns
When evaluating Petkim Petrokimya's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Petkim Petrokimya stock have on its future price. Petkim Petrokimya 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, Petkim Petrokimya autocorrelation shows the relationship between Petkim Petrokimya stock current value and its past values and can show if there is a momentum factor associated with investing in Petkim Petrokimya Holding.
Regressed Prices |
| Timeline |
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Check out Petkim Petrokimya Correlation, Petkim Petrokimya Volatility and Petkim Petrokimya Alpha and Beta module to complement your research on Petkim Petrokimya. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for Petkim Stock analysis
When running Petkim Petrokimya's price analysis, check to measure Petkim Petrokimya'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 Petkim Petrokimya is operating at the current time. Most of Petkim Petrokimya's value examination focuses on studying past and present price action to predict the probability of Petkim Petrokimya's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Petkim Petrokimya's price. Additionally, you may evaluate how the addition of Petkim Petrokimya to your portfolios can decrease your overall portfolio volatility.
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Petkim Petrokimya 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.