Match Stock Forecast - Double Exponential Smoothing
| MTCH Stock | USD 32.16 0.27 0.85% |
The Double Exponential Smoothing forecasted value of Match Group on the next trading day is expected to be 32.27 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 38.58. Match Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Match stock prices and determine the direction of Match Group's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Match's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Match's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Match's systematic risk associated with finding meaningful patterns of Match fundamentals over time.
Check out Historical Fundamental Analysis of Match to cross-verify your projections. Match |
Open Interest Against 2024-05-03 Match Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Match's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Match's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Match stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Match's open interest, investors have to compare it to Match's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Match is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Match. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Match 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 Match's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Match's 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 Match works best with periods where there are trends or seasonality. Match Double Exponential Smoothing Price Forecast For the 30th of April
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Match Group on the next trading day is expected to be 32.27 with a mean absolute deviation of 0.65, mean absolute percentage error of 0.77, and the sum of the absolute errors of 38.58.Please note that although there have been many attempts to predict Match Stock 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 Match's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Match Stock Forecast Pattern
| Backtest Match | Match Price Prediction | Buy or Sell Advice |
Match Forecasted Value
In the context of forecasting Match's Stock 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. Match's downside and upside margins for the forecasting period are 30.16 and 34.37, respectively. We have considered Match'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Match stock data series using in forecasting. Note that when a statistical model is used to represent Match stock, 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 | -0.1074 |
| MAD | Mean absolute deviation | 0.6538 |
| MAPE | Mean absolute percentage error | 0.0187 |
| SAE | Sum of the absolute errors | 38.5752 |
Predictive Modules for Match
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Match Group. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Match'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.
Other Forecasting Options for Match
For every potential investor in Match, whether a beginner or expert, Match's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Match Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Match. Basic forecasting techniques help filter out the noise by identifying Match's price trends.Match 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 Match stock to make a market-neutral strategy. Peer analysis of Match could also be used in its relative valuation, which is a method of valuing Match by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Match Group Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Match'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 Match's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Match Market Strength Events
Market strength indicators help investors to evaluate how Match stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Match shares will generate the highest return on investment. By undertsting and applying Match stock market strength indicators, traders can identify Match Group entry and exit signals to maximize returns.
Match Risk Indicators
The analysis of Match'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 Match's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting match stock 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 | 1.59 | |||
| Standard Deviation | 2.12 | |||
| Variance | 4.5 |
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 Match to cross-verify your projections. Note that the Match Group information on this page should be used as a complementary analysis to other Match's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Match Stock analysis
When running Match's price analysis, check to measure Match'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 Match is operating at the current time. Most of Match's value examination focuses on studying past and present price action to predict the probability of Match's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Match's price. Additionally, you may evaluate how the addition of Match to your portfolios can decrease your overall portfolio volatility.
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |
Is Match's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Match. If investors know Match will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Match listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 1.738 | Earnings Share 2.26 | Revenue Per Share 12.2 | Quarterly Revenue Growth 0.102 | Return On Assets 0.1319 |
The market value of Match Group is measured differently than its book value, which is the value of Match that is recorded on the company's balance sheet. Investors also form their own opinion of Match's value that differs from its market value or its book value, called intrinsic value, which is Match's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Match's market value can be influenced by many factors that don't directly affect Match's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Match's value and its price as these two are different measures arrived at by different means. Investors typically determine if Match is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Match's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.