Tnl Mediagene Ordinary Stock Market Value
| TNMG Stock | 5.39 0.91 14.44% |
| Symbol | TNL |
Is Business Services space 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 TNL Mediagene. If investors know TNL 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 TNL Mediagene listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of TNL Mediagene Ordinary is measured differently than its book value, which is the value of TNL that is recorded on the company's balance sheet. Investors also form their own opinion of TNL Mediagene's value that differs from its market value or its book value, called intrinsic value, which is TNL Mediagene'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 TNL Mediagene's market value can be influenced by many factors that don't directly affect TNL Mediagene'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 TNL Mediagene's value and its price as these two are different measures arrived at by different means. Investors typically determine if TNL Mediagene is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TNL Mediagene'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.
TNL Mediagene '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 TNL Mediagene'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 TNL Mediagene.
| 12/10/2024 |
| 01/09/2025 |
If you would invest 0.00 in TNL Mediagene on December 10, 2024 and sell it all today you would earn a total of 0.00 from holding TNL Mediagene Ordinary or generate 0.0% return on investment in TNL Mediagene over 30 days. TNL Mediagene is related to or competes with Tradeweb Markets, Village Super, Everus Construction, 1 800, MYR, Grocery Outlet, and EMCOR. TNL Mediagene is entity of United States More
TNL Mediagene 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 TNL Mediagene'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 TNL Mediagene Ordinary upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 78.58 | |||
| Value At Risk | (14.84) | |||
| Potential Upside | 13.14 |
TNL Mediagene Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TNL Mediagene's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TNL Mediagene's standard deviation. In reality, there are many statistical measures that can use TNL Mediagene historical prices to predict the future TNL Mediagene's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.41) | |||
| Total Risk Alpha | (0.40) | |||
| Treynor Ratio | (2.87) |
TNL Mediagene Ordinary Backtested Returns
TNL Mediagene Ordinary owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0599, which indicates the firm had a -0.0599% return per unit of standard deviation over the last 3 months. TNL Mediagene Ordinary exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TNL Mediagene's variance of 114.84, and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The entity has a beta of 0.14, which indicates not very significant fluctuations relative to the market. As returns on the market increase, TNL Mediagene's returns are expected to increase less than the market. However, during the bear market, the loss of holding TNL Mediagene is expected to be smaller as well. At this point, TNL Mediagene Ordinary has a negative expected return of -0.68%. Please make sure to validate TNL Mediagene's total risk alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if TNL Mediagene Ordinary performance from the past will be repeated at future time.
Auto-correlation | 0.74 |
Good predictability
TNL Mediagene Ordinary has good predictability. Overlapping area represents the amount of predictability between TNL Mediagene time series from 10th of December 2024 to 25th of December 2024 and 25th of December 2024 to 9th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of TNL Mediagene Ordinary price movement. The serial correlation of 0.74 indicates that around 74.0% of current TNL Mediagene price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 1.55 |
TNL Mediagene Ordinary lagged returns against current returns
Autocorrelation, which is TNL Mediagene 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 TNL Mediagene's stock expected returns. We can calculate the autocorrelation of TNL Mediagene returns to help us make a trade decision. For example, suppose you find that TNL Mediagene 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 |
TNL Mediagene 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 TNL Mediagene stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TNL Mediagene stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TNL Mediagene stock over time.
Current vs Lagged Prices |
| Timeline |
TNL Mediagene Lagged Returns
When evaluating TNL Mediagene's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TNL Mediagene stock have on its future price. TNL Mediagene 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, TNL Mediagene autocorrelation shows the relationship between TNL Mediagene stock current value and its past values and can show if there is a momentum factor associated with investing in TNL Mediagene Ordinary.
Regressed Prices |
| Timeline |
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Check out TNL Mediagene Correlation, TNL Mediagene Volatility and TNL Mediagene Alpha and Beta module to complement your research on TNL Mediagene. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
TNL Mediagene 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.