Alger 35 Etf Market Value
| ATFV Etf | USD 23.07 0.83 3.73% |
| Symbol | Alger |
The market value of Alger 35 ETF is measured differently than its book value, which is the value of Alger that is recorded on the company's balance sheet. Investors also form their own opinion of Alger 35's value that differs from its market value or its book value, called intrinsic value, which is Alger 35'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 Alger 35's market value can be influenced by many factors that don't directly affect Alger 35'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 Alger 35's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alger 35 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alger 35'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.
Alger 35 '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 Alger 35'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 Alger 35.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Alger 35 on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Alger 35 ETF or generate 0.0% return on investment in Alger 35 over 90 days. Alger 35 is related to or competes with Sterling Capital, Northern Lights, AdvisorShares Dorsey, 6 Meridian, and HCM Defender. Under normal circumstances, the fund invests in a stock portfolio of approximately 35 equity securities of companies of ... More
Alger 35 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 Alger 35'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 Alger 35 ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 11.21 | |||
| Value At Risk | (3.96) | |||
| Potential Upside | 2.61 |
Alger 35 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alger 35's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alger 35's standard deviation. In reality, there are many statistical measures that can use Alger 35 historical prices to predict the future Alger 35's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | 0.0746 | |||
| Treynor Ratio | (0.20) |
Alger 35 ETF Backtested Returns
Alger 35 ETF secures Sharpe Ratio (or Efficiency) of -0.0887, which signifies that the etf had a -0.0887 % return per unit of standard deviation over the last 3 months. Alger 35 ETF exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alger 35's risk adjusted performance of (0.07), and Mean Deviation of 1.79 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 1.08, which signifies a somewhat significant risk relative to the market. Alger 35 returns are very sensitive to returns on the market. As the market goes up or down, Alger 35 is expected to follow.
Auto-correlation | -0.33 |
Poor reverse predictability
Alger 35 ETF has poor reverse predictability. Overlapping area represents the amount of predictability between Alger 35 time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Alger 35 ETF price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Alger 35 price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 2.97 |
Alger 35 ETF lagged returns against current returns
Autocorrelation, which is Alger 35 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 Alger 35's etf expected returns. We can calculate the autocorrelation of Alger 35 returns to help us make a trade decision. For example, suppose you find that Alger 35 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 |
Alger 35 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 Alger 35 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alger 35 etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alger 35 etf over time.
Current vs Lagged Prices |
| Timeline |
Alger 35 Lagged Returns
When evaluating Alger 35's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alger 35 etf have on its future price. Alger 35 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, Alger 35 autocorrelation shows the relationship between Alger 35 etf current value and its past values and can show if there is a momentum factor associated with investing in Alger 35 ETF.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Alger 35 Correlation, Alger 35 Volatility and Alger 35 Alpha and Beta module to complement your research on Alger 35. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Alger 35 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.