Ishares Fallen Angels Etf Market Value
| FALN Etf | USD 27.17 0.15 0.55% |
| 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.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in IShares Fallen on November 3, 2024 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 30 days. IShares Fallen is related to or competes with IShares IBoxx, SPDR Bloomberg, IShares TIPS, IShares 20, and IShares JP. 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.
| Downside Deviation | 0.2786 | |||
| Information Ratio | (0.38) | |||
| Maximum Drawdown | 1.04 | |||
| Value At Risk | (0.44) | |||
| Potential Upside | 0.4043 |
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 | 0.0557 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.35) | |||
| Treynor Ratio | 0.1028 |
iShares Fallen Angels Backtested Returns
As of now, IShares Etf is very steady. iShares Fallen Angels holds Efficiency (Sharpe) Ratio of 0.1, which attests that the entity had a 0.1% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Fallen Angels, which you can use to evaluate the volatility of the entity. Please check out IShares Fallen's Downside Deviation of 0.2786, market risk adjusted performance of 0.1128, and Risk Adjusted Performance of 0.0557 to validate if the risk estimate we provide is consistent with the expected return of 0.027%. The etf retains a Market Volatility (i.e., Beta) of 0.15, which attests to not very significant fluctuations relative to the market. 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 | 0.07 |
Virtually no predictability
iShares Fallen Angels has virtually no predictability. Overlapping area represents the amount of predictability between IShares Fallen time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 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 0.07 indicates that barely 7.0% of current IShares Fallen price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 |
Pair Trading with IShares Fallen
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 IShares Fallen 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 IShares Fallen will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
| 0.93 | HYG | iShares iBoxx High Sell-off Trend | PairCorr |
| 0.95 | USHY | iShares Broad USD Sell-off Trend | PairCorr |
| 0.96 | JNK | SPDR Bloomberg High Sell-off Trend | PairCorr |
| 0.85 | SHYG | iShares 0 5 Sell-off Trend | PairCorr |
| 0.95 | HYLB | Xtrackers USD High Sell-off Trend | PairCorr |
The ability to find closely correlated positions to IShares Fallen could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IShares Fallen 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 IShares Fallen - 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 iShares Fallen Angels to buy it.
The correlation of IShares Fallen 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 IShares Fallen moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares Fallen Angels 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 IShares Fallen 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 IShares Fallen Correlation, IShares Fallen Volatility and IShares Fallen Alpha and Beta module to complement your research on IShares Fallen. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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.