Match Group Stock Market Value
MTCH Stock | USD 36.28 0.40 1.11% |
Symbol | Match |
Match Group Price To Book Ratio
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 2.29 | 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.
Match '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 Match'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 Match.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Match on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding Match Group or generate 0.0% return on investment in Match over 720 days. Match is related to or competes with Zillow Group, Outbrain, TuanChe ADR, Weibo Corp, YY, Zillow, and Zhihu. The companys portfolio of brands includes Tinder, Match, Meetic, OkCupid, Hinge, Pairs, PlentyOfFish, and OurTime, as we... More
Match 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 Match'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 Match Group upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.12 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 8.54 | |||
Value At Risk | (3.70) | |||
Potential Upside | 3.3 |
Match Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Match's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Match's standard deviation. In reality, there are many statistical measures that can use Match historical prices to predict the future Match's volatility.Risk Adjusted Performance | 0.0255 | |||
Jensen Alpha | (0.1) | |||
Total Risk Alpha | (0.39) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | 0.0449 |
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.
Match Group Backtested Returns
We consider Match very steady. Match Group has Sharpe Ratio of 0.0071, which conveys that the firm had a 0.0071% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Match, which you can use to evaluate the volatility of the firm. Please verify Match's Mean Deviation of 1.53, risk adjusted performance of 0.0255, and Downside Deviation of 2.12 to check out if the risk estimate we provide is consistent with the expected return of 0.0145%. The company secures a Beta (Market Risk) of 1.23, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Match will likely underperform. Match Group right now secures a risk of 2.04%. Please verify Match Group expected short fall, and the relationship between the value at risk and daily balance of power , to decide if Match Group will be following its current price movements.
Auto-correlation | 0.27 |
Poor predictability
Match Group has poor predictability. Overlapping area represents the amount of predictability between Match time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th of March 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 Match Group price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Match price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.27 | |
Spearman Rank Test | 0.24 | |
Residual Average | 0.0 | |
Price Variance | 22.86 |
Match Group lagged returns against current returns
Autocorrelation, which is Match 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 Match's stock expected returns. We can calculate the autocorrelation of Match returns to help us make a trade decision. For example, suppose you find that Match 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 |
Match 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 Match stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Match stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Match stock over time.
Current vs Lagged Prices |
Timeline |
Match Lagged Returns
When evaluating Match's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Match stock have on its future price. Match 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, Match autocorrelation shows the relationship between Match stock current value and its past values and can show if there is a momentum factor associated with investing in Match Group.
Regressed Prices |
Timeline |
Match Investors Sentiment
The influence of Match's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Match. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Match's public news can be used to forecast risks associated with an investment in Match. The trend in average sentiment can be used to explain how an investor holding Match can time the market purely based on public headlines and social activities around Match Group. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Match's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Match's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Match's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Match.
Match Implied Volatility | 35.7 |
Match's implied volatility exposes the market's sentiment of Match Group stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Match's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Match stock will not fluctuate a lot when Match's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Match in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Match's short interest history, or implied volatility extrapolated from Match options trading.
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 Match Correlation, Match Volatility and Match Alpha and Beta module to complement your research on Match. 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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.
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data |
Match technical stock 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, stock market cycles, or different charting patterns.