Ishares Fallen Angels Etf Market Value
FALN Etf | USD 26.08 0.07 0.27% |
Symbol | IShares |
The market value of iShares Fallen Angels is measured differently than its book value, which is the value of IShares that is recorded on the company's balance sheet. Investors also form their own opinion of IShares Fallen's value that differs from its market value or its book value, called intrinsic value, which is IShares Fallen'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 IShares Fallen's market value can be influenced by many factors that don't directly affect IShares Fallen'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 IShares Fallen's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Fallen is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Fallen'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.
IShares Fallen '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 IShares Fallen'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 IShares Fallen.
04/26/2023 |
| 04/20/2024 |
If you would invest 0.00 in IShares Fallen on April 26, 2023 and sell it all today you would earn a total of 0.00 from holding iShares Fallen Angels or generate 0.0% return on investment in IShares Fallen over 360 days. IShares Fallen is related to or competes with Thrivent High, Morningstar Unconstrained, High Yield, Via Renewables, and T Rowe. The fund will invest at least 80 percent of its assets in the component securities of the Underlying Index, and the Fund... More
IShares Fallen 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 IShares Fallen'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 iShares Fallen Angels upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.28) | |||
Maximum Drawdown | 1.37 | |||
Value At Risk | (0.61) | |||
Potential Upside | 0.4513 |
IShares Fallen Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Fallen's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Fallen's standard deviation. In reality, there are many statistical measures that can use IShares Fallen historical prices to predict the future IShares Fallen's volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.04) | |||
Total Risk Alpha | (0.05) | |||
Treynor Ratio | (0.03) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares Fallen'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.
iShares Fallen Angels Backtested Returns
iShares Fallen Angels holds Efficiency (Sharpe) Ratio of -0.0139, which attests that the entity had a -0.0139% return per unit of risk over the last 3 months. iShares Fallen Angels exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IShares Fallen's Standard Deviation of 0.3059, market risk adjusted performance of (0.02), and Risk Adjusted Performance of (0.01) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.37, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IShares Fallen's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Fallen is expected to be smaller as well.
Auto-correlation | 0.65 |
Good predictability
iShares Fallen Angels has good predictability. Overlapping area represents the amount of predictability between IShares Fallen time series from 26th of April 2023 to 23rd of October 2023 and 23rd of October 2023 to 20th of April 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 iShares Fallen Angels price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current IShares Fallen price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.65 | |
Spearman Rank Test | 0.38 | |
Residual Average | 0.0 | |
Price Variance | 0.69 |
iShares Fallen Angels lagged returns against current returns
Autocorrelation, which is IShares Fallen 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 IShares Fallen's etf expected returns. We can calculate the autocorrelation of IShares Fallen returns to help us make a trade decision. For example, suppose you find that IShares Fallen 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 |
IShares Fallen 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 IShares Fallen etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Fallen etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Fallen etf over time.
Current vs Lagged Prices |
Timeline |
IShares Fallen Lagged Returns
When evaluating IShares Fallen's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Fallen etf have on its future price. IShares Fallen 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, IShares Fallen autocorrelation shows the relationship between IShares Fallen etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Fallen Angels.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards IShares Fallen in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, IShares Fallen's short interest history, or implied volatility extrapolated from IShares Fallen options trading.
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IShares Fallen 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.