Tesl Etf Market Value
| TESL Etf | 22.16 1.03 4.44% |
| Symbol | TESL |
The market value of TESL is measured differently than its book value, which is the value of TESL that is recorded on the company's balance sheet. Investors also form their own opinion of TESL's value that differs from its market value or its book value, called intrinsic value, which is TESL'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 TESL's market value can be influenced by many factors that don't directly affect TESL'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 TESL's value and its price as these two are different measures arrived at by different means. Investors typically determine if TESL is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TESL'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.
TESL '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 TESL'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 TESL.
| 12/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in TESL on December 9, 2024 and sell it all today you would earn a total of 0.00 from holding TESL or generate 0.0% return on investment in TESL over 30 days. TESL is related to or competes with FT Vest, Zillow Group, Northern Lights, VanEck Vectors, Freedom Day, SSGA Active, and SPDR Nuveen. TESL is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
TESL 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 TESL'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 TESL upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.58 | |||
| Information Ratio | 0.24 | |||
| Maximum Drawdown | 31.9 | |||
| Value At Risk | (5.16) | |||
| Potential Upside | 10.22 |
TESL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TESL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TESL's standard deviation. In reality, there are many statistical measures that can use TESL historical prices to predict the future TESL's volatility.| Risk Adjusted Performance | 0.2067 | |||
| Jensen Alpha | 1.41 | |||
| Total Risk Alpha | 1.27 | |||
| Sortino Ratio | 0.3024 | |||
| Treynor Ratio | (3.39) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of TESL'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.
TESL Backtested Returns
TESL is somewhat reliable given 3 months investment horizon. TESL owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.22, which indicates the etf had a 0.22% return per unit of standard deviation over the last 3 months. We are able to interpolate and collect twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.3% are justified by taking the suggested risk. Use TESL coefficient of variation of 408.46, and Risk Adjusted Performance of 0.2067 to evaluate company specific risk that cannot be diversified away. The entity has a beta of -0.41, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning TESL are expected to decrease at a much lower rate. During the bear market, TESL is likely to outperform the market.
Auto-correlation | -0.68 |
Very good reverse predictability
TESL has very good reverse predictability. Overlapping area represents the amount of predictability between TESL time series from 9th of December 2024 to 24th of December 2024 and 24th of December 2024 to 8th 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 TESL price movement. The serial correlation of -0.68 indicates that around 68.0% of current TESL price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 2.13 |
TESL lagged returns against current returns
Autocorrelation, which is TESL 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 TESL's etf expected returns. We can calculate the autocorrelation of TESL returns to help us make a trade decision. For example, suppose you find that TESL 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 |
TESL 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 TESL etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TESL etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TESL etf over time.
Current vs Lagged Prices |
| Timeline |
TESL Lagged Returns
When evaluating TESL's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TESL etf have on its future price. TESL 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, TESL autocorrelation shows the relationship between TESL etf current value and its past values and can show if there is a momentum factor associated with investing in TESL.
Regressed Prices |
| Timeline |
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 TESL Correlation, TESL Volatility and TESL Alpha and Beta module to complement your research on TESL. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
TESL 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.