Nft Limited Stock Market Value
| MI Stock | 4.24 0.07 1.62% |
| Symbol | NFT |
NFT Limited Price To Book Ratio
Is IT Consulting & Other 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 NFT. If investors know NFT 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 NFT 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 (0.85) | Earnings Share (127.66) | Revenue Per Share 0.312 | Quarterly Revenue Growth (0.66) | Return On Assets (0.01) |
The market value of NFT Limited is measured differently than its book value, which is the value of NFT that is recorded on the company's balance sheet. Investors also form their own opinion of NFT's value that differs from its market value or its book value, called intrinsic value, which is NFT'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 NFT's market value can be influenced by many factors that don't directly affect NFT'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 NFT's value and its price as these two are different measures arrived at by different means. Investors typically determine if NFT is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, NFT'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.
NFT '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 NFT'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 NFT.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in NFT on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding NFT Limited or generate 0.0% return on investment in NFT over 720 days. NFT is related to or competes with Universal Display, Playtika Holding, Mattel, Zijin Mining, Perseus Mining, and Life Time. NFT is entity of United States. It is traded as Stock on NYSE MKT exchange. More
NFT 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 NFT'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 NFT Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 14.67 | |||
| Information Ratio | 0.074 | |||
| Maximum Drawdown | 98.71 | |||
| Value At Risk | (9.29) | |||
| Potential Upside | 18.56 |
NFT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NFT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NFT's standard deviation. In reality, there are many statistical measures that can use NFT historical prices to predict the future NFT's volatility.| Risk Adjusted Performance | 0.0746 | |||
| Jensen Alpha | 0.6544 | |||
| Total Risk Alpha | (1.00) | |||
| Sortino Ratio | 0.0613 | |||
| Treynor Ratio | 0.3518 |
NFT Limited Backtested Returns
NFT is dangerous given 3 months investment horizon. NFT Limited has Sharpe Ratio of 0.1, which conveys that the firm had a 0.1% return per unit of standard deviation over the last 3 months. We were able to collect and analyze data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.27% are justified by taking the suggested risk. Use NFT Limited Risk Adjusted Performance of 0.0746, mean deviation of 6.68, and Market Risk Adjusted Performance of 0.3618 to evaluate company specific risk that cannot be diversified away. NFT holds a performance score of 8 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 2.92, 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, NFT will likely underperform. Use NFT Limited potential upside, as well as the relationship between the kurtosis and day typical price , to analyze future returns on NFT Limited.
Auto-correlation | 0.47 |
Average predictability
NFT Limited has average predictability. Overlapping area represents the amount of predictability between NFT time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st of December 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 NFT Limited price movement. The serial correlation of 0.47 indicates that about 47.0% of current NFT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 6.42 |
NFT Limited lagged returns against current returns
Autocorrelation, which is NFT 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 NFT's stock expected returns. We can calculate the autocorrelation of NFT returns to help us make a trade decision. For example, suppose you find that NFT 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 |
NFT 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 NFT stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NFT stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NFT stock over time.
Current vs Lagged Prices |
| Timeline |
NFT Lagged Returns
When evaluating NFT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NFT stock have on its future price. NFT 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, NFT autocorrelation shows the relationship between NFT stock current value and its past values and can show if there is a momentum factor associated with investing in NFT Limited.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out NFT Correlation, NFT Volatility and NFT Alpha and Beta module to complement your research on NFT. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
NFT 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.