The 3d Printing Etf Market Value
| PRNT Etf | USD 21.43 0.70 3.16% |
| Symbol | PRNT |
The market value of 3D Printing is measured differently than its book value, which is the value of PRNT that is recorded on the company's balance sheet. Investors also form their own opinion of 3D Printing's value that differs from its market value or its book value, called intrinsic value, which is 3D Printing'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 3D Printing's market value can be influenced by many factors that don't directly affect 3D Printing'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 3D Printing's value and its price as these two are different measures arrived at by different means. Investors typically determine if 3D Printing is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 3D Printing'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.
3D Printing '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 3D Printing's etf 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 3D Printing.
| 10/19/2023 |
| 04/16/2024 |
If you would invest 0.00 in 3D Printing on October 19, 2023 and sell it all today you would earn a total of 0.00 from holding The 3D Printing or generate 0.0% return on investment in 3D Printing over 180 days. 3D Printing is related to or competes with Financial Select, Consumer Discretionary, and Industrial Select. The fund normally invests at least 80 percent of its total assets in securities that are included in the funds benchmark... More
3D Printing 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 3D Printing's etf 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 The 3D Printing upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 4.97 | |||
| Value At Risk | (1.86) | |||
| Potential Upside | 1.85 |
3D Printing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 3D Printing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 3D Printing's standard deviation. In reality, there are many statistical measures that can use 3D Printing historical prices to predict the future 3D Printing's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of 3D Printing'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.
3D Printing Backtested Returns
We consider 3D Printing very steady. 3D Printing secures Sharpe Ratio (or Efficiency) of 0.0072, which signifies that the etf had a 0.0072% return per unit of volatility over the last 3 months. We have found twenty-three technical indicators for The 3D Printing, which you can use to evaluate the volatility of the entity. Please confirm 3D Printing's risk adjusted performance of (0.02), and Coefficient Of Variation of (2,312) to double-check if the risk estimate we provide is consistent with the expected return of 0.0087%. The etf shows a Beta (market volatility) of 1.28, which signifies 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, 3D Printing will likely underperform.
Auto-correlation | 0.36 |
Below average predictability
The 3D Printing has below average predictability. Overlapping area represents the amount of predictability between 3D Printing time series from 19th of October 2023 to 17th of January 2024 and 17th of January 2024 to 16th of April 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 3D Printing price movement. The serial correlation of 0.36 indicates that just about 36.0% of current 3D Printing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
3D Printing lagged returns against current returns
Autocorrelation, which is 3D Printing etf'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 3D Printing's etf expected returns. We can calculate the autocorrelation of 3D Printing returns to help us make a trade decision. For example, suppose you find that 3D Printing has exhibited high autocorrelation historically, and you observe that the etf 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 |
3D Printing 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 3D Printing etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 3D Printing etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 3D Printing etf over time.
Current vs Lagged Prices |
| Timeline |
3D Printing Lagged Returns
When evaluating 3D Printing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 3D Printing etf have on its future price. 3D Printing 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, 3D Printing autocorrelation shows the relationship between 3D Printing etf current value and its past values and can show if there is a momentum factor associated with investing in The 3D Printing.
Regressed Prices |
| Timeline |
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 3D Printing 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, 3D Printing's short interest history, or implied volatility extrapolated from 3D Printing options trading.
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Check out 3D Printing Correlation, 3D Printing Volatility and 3D Printing Alpha and Beta module to complement your research on 3D Printing. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
3D Printing technical etf 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, etf market cycles, or different charting patterns.