John Wood Group Stock Market Value
| WDGJY Stock | USD 1.00 0.00 0.00% |
| Symbol | John |
John Wood '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 John Wood's 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 John Wood.
| 12/01/2025 |
| 12/31/2025 |
If you would invest 0.00 in John Wood on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding John Wood Group or generate 0.0% return on investment in John Wood over 30 days. John Wood is related to or competes with EXCO Resources, Unit, Ensign Energy, Total Energy, Energi Mega, Saturn Oil, and Empire Energy. John Wood Group PLC, together with its subsidiaries, provides consulting, project management, and engineering solutions ... More
John Wood 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 John Wood's 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 John Wood Group upside and downside potential and time the market with a certain degree of confidence.
John Wood Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for John Wood's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as John Wood's standard deviation. In reality, there are many statistical measures that can use John Wood historical prices to predict the future John Wood's volatility.John Wood Group Backtested Returns
We have found three technical indicators for John Wood Group, which you can use to evaluate the volatility of the firm. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and John Wood are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
John Wood Group has no correlation between past and present. Overlapping area represents the amount of predictability between John Wood time series from 1st of December 2025 to 16th of December 2025 and 16th of December 2025 to 31st of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of John Wood Group price movement. The serial correlation of 0.0 indicates that just 0.0% of current John Wood price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
John Wood Group lagged returns against current returns
Autocorrelation, which is John Wood 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 John Wood's pink sheet expected returns. We can calculate the autocorrelation of John Wood returns to help us make a trade decision. For example, suppose you find that John Wood 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 |
John Wood 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 John Wood pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if John Wood pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in John Wood pink sheet over time.
Current vs Lagged Prices |
| Timeline |
John Wood Lagged Returns
When evaluating John Wood's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of John Wood pink sheet have on its future price. John Wood 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, John Wood autocorrelation shows the relationship between John Wood pink sheet current value and its past values and can show if there is a momentum factor associated with investing in John Wood Group.
Regressed Prices |
| Timeline |
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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.Additional Tools for John Pink Sheet Analysis
When running John Wood's price analysis, check to measure John Wood'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 John Wood is operating at the current time. Most of John Wood's value examination focuses on studying past and present price action to predict the probability of John Wood's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move John Wood's price. Additionally, you may evaluate how the addition of John Wood to your portfolios can decrease your overall portfolio volatility.