Judges Scientific (UK) Market Value
| JDG Stock | 8,400 20.00 0.24% |
| Symbol | Judges |
Judges Scientific '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 Judges Scientific'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 Judges Scientific.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Judges Scientific on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Judges Scientific Plc or generate 0.0% return on investment in Judges Scientific over 30 days. Judges Scientific is related to or competes with Neometals, Coor Service, Aeorema Communications, JLEN Environmental, Power Metal, GoldMining, and Eastinco Mining. Judges Scientific is entity of United Kingdom More
Judges Scientific 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 Judges Scientific'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 Judges Scientific Plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 17.6 | |||
| Value At Risk | (3.00) | |||
| Potential Upside | 3.91 |
Judges Scientific Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Judges Scientific's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Judges Scientific's standard deviation. In reality, there are many statistical measures that can use Judges Scientific historical prices to predict the future Judges Scientific's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.68) | |||
| Treynor Ratio | (0.69) |
Judges Scientific Plc Backtested Returns
Judges Scientific Plc holds Efficiency (Sharpe) Ratio of -0.0966, which attests that the entity had a -0.0966% return per unit of risk over the last 3 months. Judges Scientific Plc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Judges Scientific's Risk Adjusted Performance of (0.06), standard deviation of 2.75, and Market Risk Adjusted Performance of (0.68) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.39, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Judges Scientific's returns are expected to increase less than the market. However, during the bear market, the loss of holding Judges Scientific is expected to be smaller as well. At this point, Judges Scientific Plc has a negative expected return of -0.27%. Please make sure to check out Judges Scientific's standard deviation, maximum drawdown, kurtosis, as well as the relationship between the total risk alpha and potential upside , to decide if Judges Scientific Plc performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
Judges Scientific Plc has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Judges Scientific time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 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 Judges Scientific Plc price movement. The serial correlation of -0.74 indicates that around 74.0% of current Judges Scientific price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.74 | |
| Spearman Rank Test | -0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 400.3 K |
Judges Scientific Plc lagged returns against current returns
Autocorrelation, which is Judges Scientific 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 Judges Scientific's stock expected returns. We can calculate the autocorrelation of Judges Scientific returns to help us make a trade decision. For example, suppose you find that Judges Scientific 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 |
Judges Scientific 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 Judges Scientific stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Judges Scientific stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Judges Scientific stock over time.
Current vs Lagged Prices |
| Timeline |
Judges Scientific Lagged Returns
When evaluating Judges Scientific's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Judges Scientific stock have on its future price. Judges Scientific 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, Judges Scientific autocorrelation shows the relationship between Judges Scientific stock current value and its past values and can show if there is a momentum factor associated with investing in Judges Scientific Plc.
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.Other Information on Investing in Judges Stock
Judges Scientific financial ratios help investors to determine whether Judges Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Judges with respect to the benefits of owning Judges Scientific security.