Amplify Lithium Battery Etf Market Value
| BATT Etf | USD 9.28 0.02 0.22% |
| Symbol | Amplify |
The market value of Amplify Lithium Battery is measured differently than its book value, which is the value of Amplify that is recorded on the company's balance sheet. Investors also form their own opinion of Amplify Lithium's value that differs from its market value or its book value, called intrinsic value, which is Amplify Lithium'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 Amplify Lithium's market value can be influenced by many factors that don't directly affect Amplify Lithium'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 Amplify Lithium's value and its price as these two are different measures arrived at by different means. Investors typically determine if Amplify Lithium is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amplify Lithium'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.
Amplify Lithium '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 Amplify Lithium'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 Amplify Lithium.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in Amplify Lithium on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding Amplify Lithium Battery or generate 0.0% return on investment in Amplify Lithium over 540 days. Amplify Lithium is related to or competes with KraneShares Electric, IShares Self, SPDR SP, Global X, and Global X. The fund will normally invest at least 80 percent of its net assets in the securities that comprise the index More
Amplify Lithium 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 Amplify Lithium'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 Amplify Lithium Battery upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.08 | |||
| Information Ratio | 0.0067 | |||
| Maximum Drawdown | 8.5 | |||
| Value At Risk | (3.06) | |||
| Potential Upside | 3.14 |
Amplify Lithium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amplify Lithium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amplify Lithium's standard deviation. In reality, there are many statistical measures that can use Amplify Lithium historical prices to predict the future Amplify Lithium's volatility.| Risk Adjusted Performance | 0.059 | |||
| Jensen Alpha | 0.0477 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | 0.0065 | |||
| Treynor Ratio | 0.1831 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amplify Lithium'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.
Amplify Lithium Battery Backtested Returns
Amplify Lithium appears to be not too volatile, given 3 months investment horizon. Amplify Lithium Battery secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the etf had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Amplify Lithium Battery, which you can use to evaluate the volatility of the entity. Please makes use of Amplify Lithium's Mean Deviation of 1.59, risk adjusted performance of 0.059, and Downside Deviation of 2.08 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.7, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Amplify Lithium's returns are expected to increase less than the market. However, during the bear market, the loss of holding Amplify Lithium is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
Amplify Lithium Battery has weak predictability. Overlapping area represents the amount of predictability between Amplify Lithium time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th of November 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 Amplify Lithium Battery price movement. The serial correlation of 0.21 indicates that over 21.0% of current Amplify Lithium price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
Amplify Lithium Battery lagged returns against current returns
Autocorrelation, which is Amplify Lithium 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 Amplify Lithium's etf expected returns. We can calculate the autocorrelation of Amplify Lithium returns to help us make a trade decision. For example, suppose you find that Amplify Lithium 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 |
Amplify Lithium 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 Amplify Lithium etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amplify Lithium etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amplify Lithium etf over time.
Current vs Lagged Prices |
| Timeline |
Amplify Lithium Lagged Returns
When evaluating Amplify Lithium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amplify Lithium etf have on its future price. Amplify Lithium 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, Amplify Lithium autocorrelation shows the relationship between Amplify Lithium etf current value and its past values and can show if there is a momentum factor associated with investing in Amplify Lithium Battery.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Amplify Lithium Correlation, Amplify Lithium Volatility and Amplify Lithium Alpha and Beta module to complement your research on Amplify Lithium. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Amplify Lithium 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.