Amplify Etf Trust Etf Market Value
| ITEQ Etf | USD 52.21 0.42 0.80% |
| Symbol | Amplify |
The market value of Amplify ETF Trust 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 ETF's value that differs from its market value or its book value, called intrinsic value, which is Amplify ETF'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 ETF's market value can be influenced by many factors that don't directly affect Amplify ETF'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 ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Amplify ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amplify ETF'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 ETF '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 ETF'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 ETF.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Amplify ETF on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Amplify ETF Trust or generate 0.0% return on investment in Amplify ETF over 30 days. Amplify ETF is related to or competes with VanEck Israel, IShares MSCI, ARK Israel, ALPS Disruptive, and SPDR FactSet. The index tracks the performance of exchange-listed Israeli technology operating companies More
Amplify ETF 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 ETF'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 ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.28 | |||
| Information Ratio | 0.025 | |||
| Maximum Drawdown | 5.09 | |||
| Value At Risk | (1.80) | |||
| Potential Upside | 1.91 |
Amplify ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amplify ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amplify ETF's standard deviation. In reality, there are many statistical measures that can use Amplify ETF historical prices to predict the future Amplify ETF's volatility.| Risk Adjusted Performance | 0.1058 | |||
| Jensen Alpha | 0.0142 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0234 | |||
| Treynor Ratio | 0.1329 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amplify ETF'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 ETF Trust Backtested Returns
Currently, Amplify ETF Trust is very steady. Amplify ETF Trust secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the etf had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for Amplify ETF Trust, which you can use to evaluate the volatility of the entity. Please confirm Amplify ETF's Mean Deviation of 0.8774, risk adjusted performance of 0.1058, and Downside Deviation of 1.28 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. The etf shows a Beta (market volatility) of 1.13, which signifies a somewhat significant risk relative to the market. Amplify ETF returns are very sensitive to returns on the market. As the market goes up or down, Amplify ETF is expected to follow.
Auto-correlation | 0.96 |
Excellent predictability
Amplify ETF Trust has excellent predictability. Overlapping area represents the amount of predictability between Amplify ETF time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 ETF Trust price movement. The serial correlation of 0.96 indicates that 96.0% of current Amplify ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.96 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 2.5 |
Amplify ETF Trust lagged returns against current returns
Autocorrelation, which is Amplify ETF 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 ETF's etf expected returns. We can calculate the autocorrelation of Amplify ETF returns to help us make a trade decision. For example, suppose you find that Amplify ETF 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 ETF 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 ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amplify ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amplify ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Amplify ETF Lagged Returns
When evaluating Amplify ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amplify ETF etf have on its future price. Amplify ETF 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 ETF autocorrelation shows the relationship between Amplify ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Amplify ETF Trust.
Regressed Prices |
| Timeline |
Pair Trading with Amplify ETF
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Amplify ETF position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Amplify ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with Amplify Etf
| 0.92 | VGT | Vanguard Information | PairCorr |
| 0.86 | XLK | Technology Select Sector | PairCorr |
| 0.9 | IYW | iShares Technology ETF | PairCorr |
| 0.62 | SMH | VanEck Semiconductor ETF | PairCorr |
Moving against Amplify Etf
The ability to find closely correlated positions to Amplify ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Amplify ETF when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Amplify ETF - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Amplify ETF Trust to buy it.
The correlation of Amplify ETF is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Amplify ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amplify ETF Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Amplify ETF can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Amplify ETF Correlation, Amplify ETF Volatility and Amplify ETF Alpha and Beta module to complement your research on Amplify ETF. To learn how to invest in Amplify Etf, please use our How to Invest in Amplify ETF guide.You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Amplify ETF 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.