Amplify Blackswan Iswn Etf Market Value
| ISWN Etf | USD 18.62 0.20 1.09% |
| Symbol | Amplify |
The market value of Amplify BlackSwan ISWN 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 BlackSwan's value that differs from its market value or its book value, called intrinsic value, which is Amplify BlackSwan'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 BlackSwan's market value can be influenced by many factors that don't directly affect Amplify BlackSwan'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 BlackSwan's value and its price as these two are different measures arrived at by different means. Investors typically determine if Amplify BlackSwan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amplify BlackSwan'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 BlackSwan '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 BlackSwan'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 BlackSwan.
| 09/03/2024 |
| 01/31/2025 |
If you would invest 0.00 in Amplify BlackSwan on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Amplify BlackSwan ISWN or generate 0.0% return on investment in Amplify BlackSwan over 150 days. Amplify BlackSwan is related to or competes with Amplify BlackSwan, Amplify ETF, Amplify Thematic, Aptus Defined, and WisdomTree 9060. The fund will invest at least 80 percent of its net assets in the securities that comprise the index, which will primari... More
Amplify BlackSwan 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 BlackSwan'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 BlackSwan ISWN upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 3.65 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.32 |
Amplify BlackSwan Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amplify BlackSwan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amplify BlackSwan's standard deviation. In reality, there are many statistical measures that can use Amplify BlackSwan historical prices to predict the future Amplify BlackSwan's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | (0.17) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amplify BlackSwan'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 BlackSwan ISWN Backtested Returns
Amplify BlackSwan ISWN secures Sharpe Ratio (or Efficiency) of -0.0219, which signifies that the etf had a -0.0219 % return per unit of risk over the last 3 months. Amplify BlackSwan ISWN exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Amplify BlackSwan's Mean Deviation of 0.5217, risk adjusted performance of (0.04), and Standard Deviation of 0.7212 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.26, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Amplify BlackSwan's returns are expected to increase less than the market. However, during the bear market, the loss of holding Amplify BlackSwan is expected to be smaller as well.
Auto-correlation | 0.45 |
Average predictability
Amplify BlackSwan ISWN has average predictability. Overlapping area represents the amount of predictability between Amplify BlackSwan time series from 3rd of September 2024 to 17th of November 2024 and 17th of November 2024 to 31st 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 Amplify BlackSwan ISWN price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Amplify BlackSwan price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Amplify BlackSwan ISWN lagged returns against current returns
Autocorrelation, which is Amplify BlackSwan 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 BlackSwan's etf expected returns. We can calculate the autocorrelation of Amplify BlackSwan returns to help us make a trade decision. For example, suppose you find that Amplify BlackSwan 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 BlackSwan 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 BlackSwan etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amplify BlackSwan etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amplify BlackSwan etf over time.
Current vs Lagged Prices |
| Timeline |
Amplify BlackSwan Lagged Returns
When evaluating Amplify BlackSwan's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amplify BlackSwan etf have on its future price. Amplify BlackSwan 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 BlackSwan autocorrelation shows the relationship between Amplify BlackSwan etf current value and its past values and can show if there is a momentum factor associated with investing in Amplify BlackSwan ISWN.
Regressed Prices |
| Timeline |
Pair Trading with Amplify BlackSwan
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 BlackSwan 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 BlackSwan will appreciate offsetting losses from the drop in the long position's value.Moving together with Amplify Etf
The ability to find closely correlated positions to Amplify BlackSwan 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 BlackSwan 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 BlackSwan - 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 BlackSwan ISWN to buy it.
The correlation of Amplify BlackSwan 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 BlackSwan moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amplify BlackSwan ISWN 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 BlackSwan 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 BlackSwan Correlation, Amplify BlackSwan Volatility and Amplify BlackSwan Alpha and Beta module to complement your research on Amplify BlackSwan. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Amplify BlackSwan 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.