Rentokil Initial Pink Sheet Forecast - Polynomial Regression
| RKLIF Stock | USD 5.20 0.30 6.12% |
The Polynomial Regression forecasted value of Rentokil Initial plc on the next trading day is expected to be 4.70 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 12.42. Rentokil Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Rentokil Initial's historical fundamentals, such as revenue growth or operating cash flow patterns.
Rentokil |
Rentokil Initial Polynomial Regression Price Forecast For the 28th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Rentokil Initial plc on the next trading day is expected to be 4.70 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.08, and the sum of the absolute errors of 12.42.Please note that although there have been many attempts to predict Rentokil Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Rentokil Initial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Rentokil Initial Pink Sheet Forecast Pattern
| Backtest Rentokil Initial | Rentokil Initial Price Prediction | Buy or Sell Advice |
Rentokil Initial Forecasted Value
In the context of forecasting Rentokil Initial's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Rentokil Initial's downside and upside margins for the forecasting period are 0.49 and 8.91, respectively. We have considered Rentokil Initial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Rentokil Initial pink sheet data series using in forecasting. Note that when a statistical model is used to represent Rentokil Initial pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 115.5673 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2036 |
| MAPE | Mean absolute percentage error | 0.0394 |
| SAE | Sum of the absolute errors | 12.4181 |
Predictive Modules for Rentokil Initial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Rentokil Initial plc. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Rentokil Initial
For every potential investor in Rentokil, whether a beginner or expert, Rentokil Initial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Rentokil Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Rentokil. Basic forecasting techniques help filter out the noise by identifying Rentokil Initial's price trends.Rentokil Initial Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Rentokil Initial pink sheet to make a market-neutral strategy. Peer analysis of Rentokil Initial could also be used in its relative valuation, which is a method of valuing Rentokil Initial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Rentokil Initial plc Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Rentokil Initial's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Rentokil Initial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Rentokil Initial Market Strength Events
Market strength indicators help investors to evaluate how Rentokil Initial pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Rentokil Initial shares will generate the highest return on investment. By undertsting and applying Rentokil Initial pink sheet market strength indicators, traders can identify Rentokil Initial plc entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.06 | |||
| Day Median Price | 5.2 | |||
| Day Typical Price | 5.2 | |||
| Price Action Indicator | 0.15 | |||
| Period Momentum Indicator | 0.3 | |||
| Relative Strength Index | 72.46 |
Rentokil Initial Risk Indicators
The analysis of Rentokil Initial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Rentokil Initial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rentokil pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.71 | |||
| Standard Deviation | 4.15 | |||
| Variance | 17.19 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Rentokil Pink Sheet
When determining whether Rentokil Initial plc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Rentokil Initial's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Rentokil Initial Plc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Rentokil Initial Plc Stock:Check out Historical Fundamental Analysis of Rentokil Initial to cross-verify your projections. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.