J D Wetherspoon Stock Market Value
| JDWPY Stock | USD 38.50 0.00 0.00% |
| Symbol | JDWPY |
J D '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 J D'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 J D.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in J D on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding J D Wetherspoon or generate 0.0% return on investment in J D over 30 days. J D is related to or competes with McDonalds, Chuys Holdings, Brinker International, Bloomin Brands, FAT Brands, Red Robin, and Carrols Restaurant. J D Wetherspoon plc owns and operates pubs and hotels in the United Kingdom and the Republic of Ireland More
J D 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 J D'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 J D Wetherspoon upside and downside potential and time the market with a certain degree of confidence.
J D Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for J D's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as J D's standard deviation. In reality, there are many statistical measures that can use J D historical prices to predict the future J D's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of J D'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.
J D Wetherspoon Backtested Returns
We have found three technical indicators for J D Wetherspoon, which you can use to evaluate the volatility of the entity. The firm 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 J D are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
J D Wetherspoon has no correlation between past and present. Overlapping area represents the amount of predictability between J D time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 J D Wetherspoon price movement. The serial correlation of 0.0 indicates that just 0.0% of current J D 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 |
J D Wetherspoon lagged returns against current returns
Autocorrelation, which is J D 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 J D's pink sheet expected returns. We can calculate the autocorrelation of J D returns to help us make a trade decision. For example, suppose you find that J D 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 |
J D 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 J D pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if J D pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in J D pink sheet over time.
Current vs Lagged Prices |
| Timeline |
J D Lagged Returns
When evaluating J D's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of J D pink sheet have on its future price. J D 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, J D autocorrelation shows the relationship between J D pink sheet current value and its past values and can show if there is a momentum factor associated with investing in J D Wetherspoon.
Regressed Prices |
| Timeline |
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Complementary Tools for JDWPY Pink Sheet analysis
When running J D's price analysis, check to measure J D'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 J D is operating at the current time. Most of J D's value examination focuses on studying past and present price action to predict the probability of J D's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move J D's price. Additionally, you may evaluate how the addition of J D to your portfolios can decrease your overall portfolio volatility.
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J D 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.