Hikma Pharmaceuticals Pink Sheet Forecast - Double Exponential Smoothing
| HKMPF Stock | USD 22.33 0.00 0.00% |
The Double Exponential Smoothing forecasted value of Hikma Pharmaceuticals PLC on the next trading day is expected to be 22.33 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.49. Hikma Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Hikma Pharmaceuticals stock prices and determine the direction of Hikma Pharmaceuticals PLC's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Hikma Pharmaceuticals' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Hikma Pharmaceuticals to cross-verify your projections. Hikma |
Most investors in Hikma Pharmaceuticals cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Hikma Pharmaceuticals' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Hikma Pharmaceuticals' price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Hikma Pharmaceuticals works best with periods where there are trends or seasonality. Hikma Pharmaceuticals Double Exponential Smoothing Price Forecast For the 1st of May
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Hikma Pharmaceuticals PLC on the next trading day is expected to be 22.33 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.22, and the sum of the absolute errors of 9.49.Please note that although there have been many attempts to predict Hikma 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 Hikma Pharmaceuticals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hikma Pharmaceuticals Pink Sheet Forecast Pattern
| Backtest Hikma Pharmaceuticals | Hikma Pharmaceuticals Price Prediction | Buy or Sell Advice |
Hikma Pharmaceuticals Forecasted Value
In the context of forecasting Hikma Pharmaceuticals' 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. Hikma Pharmaceuticals' downside and upside margins for the forecasting period are 20.48 and 24.18, respectively. We have considered Hikma Pharmaceuticals' 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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Hikma Pharmaceuticals pink sheet data series using in forecasting. Note that when a statistical model is used to represent Hikma Pharmaceuticals 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.031 |
| MAD | Mean absolute deviation | 0.1608 |
| MAPE | Mean absolute percentage error | 0.0067 |
| SAE | Sum of the absolute errors | 9.49 |
Predictive Modules for Hikma Pharmaceuticals
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hikma Pharmaceuticals 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hikma Pharmaceuticals' 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.
Other Forecasting Options for Hikma Pharmaceuticals
For every potential investor in Hikma, whether a beginner or expert, Hikma Pharmaceuticals' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hikma Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hikma. Basic forecasting techniques help filter out the noise by identifying Hikma Pharmaceuticals' price trends.Hikma Pharmaceuticals 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 Hikma Pharmaceuticals pink sheet to make a market-neutral strategy. Peer analysis of Hikma Pharmaceuticals could also be used in its relative valuation, which is a method of valuing Hikma Pharmaceuticals by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hikma Pharmaceuticals 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 Hikma Pharmaceuticals' 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 Hikma Pharmaceuticals' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Hikma Pharmaceuticals Market Strength Events
Market strength indicators help investors to evaluate how Hikma Pharmaceuticals 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 Hikma Pharmaceuticals shares will generate the highest return on investment. By undertsting and applying Hikma Pharmaceuticals pink sheet market strength indicators, traders can identify Hikma Pharmaceuticals PLC entry and exit signals to maximize returns.
Hikma Pharmaceuticals Risk Indicators
The analysis of Hikma Pharmaceuticals' 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 Hikma Pharmaceuticals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hikma 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 | 0.7803 | |||
| Standard Deviation | 1.88 | |||
| Variance | 3.53 |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Hikma Pharmaceuticals to cross-verify your projections. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Complementary Tools for Hikma Pink Sheet analysis
When running Hikma Pharmaceuticals' price analysis, check to measure Hikma Pharmaceuticals' 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 Hikma Pharmaceuticals is operating at the current time. Most of Hikma Pharmaceuticals' value examination focuses on studying past and present price action to predict the probability of Hikma Pharmaceuticals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hikma Pharmaceuticals' price. Additionally, you may evaluate how the addition of Hikma Pharmaceuticals to your portfolios can decrease your overall portfolio volatility.
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |