Worley Parsons Stock Market Value
| WYGPY Stock | USD 10.10 0.30 3.06% |
| Symbol | Worley |
Worley Parsons '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 Worley Parsons' pink sheet 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 Worley Parsons.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in Worley Parsons on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding Worley Parsons or generate 0.0% return on investment in Worley Parsons over 30 days. Worley Parsons is related to or competes with Expro Group, ChampionX, Ranger Energy, Cactus, MRC Global, Bristow, and Oil States. Worley Limited provides professional project and asset services to energy, chemicals, and resources sectors worldwide More
Worley Parsons 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 Worley Parsons' pink sheet 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 Worley Parsons upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.49 | |||
| Information Ratio | 0.0074 | |||
| Maximum Drawdown | 13.76 | |||
| Value At Risk | (3.56) | |||
| Potential Upside | 4.27 |
Worley Parsons Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Worley Parsons' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Worley Parsons' standard deviation. In reality, there are many statistical measures that can use Worley Parsons historical prices to predict the future Worley Parsons' volatility.| Risk Adjusted Performance | 0.0331 | |||
| Jensen Alpha | 0.0832 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0071 | |||
| Treynor Ratio | 1.51 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Worley Parsons' 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.
Worley Parsons Backtested Returns
We consider Worley Parsons somewhat reliable. Worley Parsons shows Sharpe Ratio of 0.0591, which attests that the company had a 0.0591% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Worley Parsons, which you can use to evaluate the volatility of the company. Please check out Worley Parsons' Mean Deviation of 1.72, downside deviation of 2.49, and Market Risk Adjusted Performance of 1.52 to validate if the risk estimate we provide is consistent with the expected return of 0.14%. Worley Parsons has a performance score of 4 on a scale of 0 to 100. The firm maintains a market beta of 0.0576, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Worley Parsons' returns are expected to increase less than the market. However, during the bear market, the loss of holding Worley Parsons is expected to be smaller as well. Worley Parsons right now maintains a risk of 2.37%. Please check out Worley Parsons sortino ratio, semi variance, as well as the relationship between the Semi Variance and day median price , to decide if Worley Parsons will be following its historical returns.
Auto-correlation | 0.71 |
Good predictability
Worley Parsons has good predictability. Overlapping area represents the amount of predictability between Worley Parsons time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th 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 Worley Parsons price movement. The serial correlation of 0.71 indicates that around 71.0% of current Worley Parsons price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Worley Parsons lagged returns against current returns
Autocorrelation, which is Worley Parsons pink sheet'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 Worley Parsons' pink sheet expected returns. We can calculate the autocorrelation of Worley Parsons returns to help us make a trade decision. For example, suppose you find that Worley Parsons has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Worley Parsons 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 Worley Parsons pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Worley Parsons pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Worley Parsons pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Worley Parsons Lagged Returns
When evaluating Worley Parsons' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Worley Parsons pink sheet have on its future price. Worley Parsons 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, Worley Parsons autocorrelation shows the relationship between Worley Parsons pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Worley Parsons.
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.Check out Worley Parsons Correlation, Worley Parsons Volatility and Worley Parsons Alpha and Beta module to complement your research on Worley Parsons. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Complementary Tools for Worley Pink Sheet analysis
When running Worley Parsons' price analysis, check to measure Worley Parsons' 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 Worley Parsons is operating at the current time. Most of Worley Parsons' value examination focuses on studying past and present price action to predict the probability of Worley Parsons' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Worley Parsons' price. Additionally, you may evaluate how the addition of Worley Parsons to your portfolios can decrease your overall portfolio volatility.
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Worley Parsons technical pink sheet 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, pink sheet market cycles, or different charting patterns.