Amplify Cwp Enhanced Etf Market Value
| DIVO Etf | USD 42.70 0.34 0.80% |
| Symbol | Amplify |
The market value of Amplify CWP Enhanced 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 CWP's value that differs from its market value or its book value, called intrinsic value, which is Amplify CWP'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 CWP's market value can be influenced by many factors that don't directly affect Amplify CWP'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 CWP's value and its price as these two are different measures arrived at by different means. Investors typically determine if Amplify CWP is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amplify CWP'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 CWP '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 CWP'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 CWP.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in Amplify CWP on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding Amplify CWP Enhanced or generate 0.0% return on investment in Amplify CWP over 720 days. Amplify CWP is related to or competes with NEOS ETF, Global X, Global X, JPMorgan Equity, and JPMorgan Nasdaq. Under normal circumstances, the fund invests at least 80 percent of its net assets in dividend-paying U.S More
Amplify CWP 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 CWP'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 CWP Enhanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4923 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.12 | |||
| Value At Risk | (0.67) | |||
| Potential Upside | 1.17 |
Amplify CWP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amplify CWP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amplify CWP's standard deviation. In reality, there are many statistical measures that can use Amplify CWP historical prices to predict the future Amplify CWP's volatility.| Risk Adjusted Performance | 0.1384 | |||
| Jensen Alpha | 0.0123 | |||
| Total Risk Alpha | 0.0061 | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.1371 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amplify CWP'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 CWP Enhanced Backtested Returns
As of now, Amplify Etf is very steady. Amplify CWP Enhanced secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the etf had a 0.18% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Amplify CWP Enhanced, which you can use to evaluate the volatility of the entity. Please confirm Amplify CWP's Downside Deviation of 0.4923, risk adjusted performance of 0.1384, and Mean Deviation of 0.4671 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The etf shows a Beta (market volatility) of 0.75, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Amplify CWP's returns are expected to increase less than the market. However, during the bear market, the loss of holding Amplify CWP is expected to be smaller as well.
Auto-correlation | 0.30 |
Below average predictability
Amplify CWP Enhanced has below average predictability. Overlapping area represents the amount of predictability between Amplify CWP time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th 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 CWP Enhanced price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Amplify CWP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 4.47 |
Amplify CWP Enhanced lagged returns against current returns
Autocorrelation, which is Amplify CWP 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 CWP's etf expected returns. We can calculate the autocorrelation of Amplify CWP returns to help us make a trade decision. For example, suppose you find that Amplify CWP 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 CWP 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 CWP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amplify CWP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amplify CWP etf over time.
Current vs Lagged Prices |
| Timeline |
Amplify CWP Lagged Returns
When evaluating Amplify CWP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amplify CWP etf have on its future price. Amplify CWP 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 CWP autocorrelation shows the relationship between Amplify CWP etf current value and its past values and can show if there is a momentum factor associated with investing in Amplify CWP Enhanced.
Regressed Prices |
| Timeline |
Pair Trading with Amplify CWP
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 CWP 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 CWP will appreciate offsetting losses from the drop in the long position's value.Moving together with Amplify Etf
| 0.98 | JEPI | JPMorgan Equity Premium | PairCorr |
| 0.95 | XYLD | Global X SP | PairCorr |
| 0.89 | RYLD | Global X Russell | PairCorr |
| 0.92 | JEPQ | JPMorgan Nasdaq Equity | PairCorr |
The ability to find closely correlated positions to Amplify CWP 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 CWP 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 CWP - 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 CWP Enhanced to buy it.
The correlation of Amplify CWP 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 CWP moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amplify CWP Enhanced 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 CWP 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 CWP Correlation, Amplify CWP Volatility and Amplify CWP Alpha and Beta module to complement your research on Amplify CWP. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Amplify CWP 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.