Allianzim Equity Buffer15 Etf Market Value
| JNEU Etf | 27.73 0.15 0.54% |
| Symbol | AllianzIM |
The market value of AllianzIM Equity Buffer15 is measured differently than its book value, which is the value of AllianzIM that is recorded on the company's balance sheet. Investors also form their own opinion of AllianzIM Equity's value that differs from its market value or its book value, called intrinsic value, which is AllianzIM Equity'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 AllianzIM Equity's market value can be influenced by many factors that don't directly affect AllianzIM Equity'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 AllianzIM Equity's value and its price as these two are different measures arrived at by different means. Investors typically determine if AllianzIM Equity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AllianzIM Equity'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.
AllianzIM Equity '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 AllianzIM Equity'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 AllianzIM Equity.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in AllianzIM Equity on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding AllianzIM Equity Buffer15 or generate 0.0% return on investment in AllianzIM Equity over 30 days. AllianzIM Equity is related to or competes with FT Vest, Northern Lights, Dimensional International, First Trust, EA Series, FT Cboe, and FT Cboe. AllianzIM Equity is entity of United States More
AllianzIM Equity 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 AllianzIM Equity'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 AllianzIM Equity Buffer15 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6785 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 3.35 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 0.8261 |
AllianzIM Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AllianzIM Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AllianzIM Equity's standard deviation. In reality, there are many statistical measures that can use AllianzIM Equity historical prices to predict the future AllianzIM Equity's volatility.| Risk Adjusted Performance | 0.0978 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.1041 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AllianzIM Equity'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.
AllianzIM Equity Buffer15 Backtested Returns
Currently, AllianzIM Equity Buffer15 is very steady. AllianzIM Equity Buffer15 secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the etf had a 0.15% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for AllianzIM Equity Buffer15, which you can use to evaluate the volatility of the entity. Please confirm AllianzIM Equity's Risk Adjusted Performance of 0.0978, mean deviation of 0.4387, and Downside Deviation of 0.6785 to double-check if the risk estimate we provide is consistent with the expected return of 0.0925%. The etf shows a Beta (market volatility) of 0.68, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AllianzIM Equity's returns are expected to increase less than the market. However, during the bear market, the loss of holding AllianzIM Equity is expected to be smaller as well.
Auto-correlation | 0.83 |
Very good predictability
AllianzIM Equity Buffer15 has very good predictability. Overlapping area represents the amount of predictability between AllianzIM Equity time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 AllianzIM Equity Buffer15 price movement. The serial correlation of 0.83 indicates that around 83.0% of current AllianzIM Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
AllianzIM Equity Buffer15 lagged returns against current returns
Autocorrelation, which is AllianzIM Equity 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 AllianzIM Equity's etf expected returns. We can calculate the autocorrelation of AllianzIM Equity returns to help us make a trade decision. For example, suppose you find that AllianzIM Equity 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 |
AllianzIM Equity 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 AllianzIM Equity etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AllianzIM Equity etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AllianzIM Equity etf over time.
Current vs Lagged Prices |
| Timeline |
AllianzIM Equity Lagged Returns
When evaluating AllianzIM Equity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AllianzIM Equity etf have on its future price. AllianzIM Equity 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, AllianzIM Equity autocorrelation shows the relationship between AllianzIM Equity etf current value and its past values and can show if there is a momentum factor associated with investing in AllianzIM Equity Buffer15.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out AllianzIM Equity Correlation, AllianzIM Equity Volatility and AllianzIM Equity Alpha and Beta module to complement your research on AllianzIM Equity. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
AllianzIM Equity 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.