The Advisors Inner Etf Market Value
| DIVP Etf | 27.12 0.07 0.26% |
| Symbol | Advisors |
The market value of Advisors Inner is measured differently than its book value, which is the value of Advisors that is recorded on the company's balance sheet. Investors also form their own opinion of Advisors Inner's value that differs from its market value or its book value, called intrinsic value, which is Advisors Inner'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 Advisors Inner's market value can be influenced by many factors that don't directly affect Advisors Inner'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 Advisors Inner's value and its price as these two are different measures arrived at by different means. Investors typically determine if Advisors Inner is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Advisors Inner'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.
Advisors Inner '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 Advisors Inner'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 Advisors Inner.
| 05/30/2024 |
| 11/26/2024 |
If you would invest 0.00 in Advisors Inner on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding The Advisors Inner or generate 0.0% return on investment in Advisors Inner over 180 days. Advisors Inner is related to or competes with First Trust, and ProShares. Advisors Inner is entity of United States More
Advisors Inner 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 Advisors Inner'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 The Advisors Inner upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5311 | |||
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 2.31 | |||
| Value At Risk | (0.72) | |||
| Potential Upside | 0.8403 |
Advisors Inner Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Advisors Inner's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Advisors Inner's standard deviation. In reality, there are many statistical measures that can use Advisors Inner historical prices to predict the future Advisors Inner's volatility.| Risk Adjusted Performance | 0.0968 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.1145 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Advisors Inner'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.
Advisors Inner Backtested Returns
Currently, The Advisors Inner is very steady. Advisors Inner secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the etf had a 0.12% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for The Advisors Inner, which you can use to evaluate the volatility of the entity. Please confirm Advisors Inner's Risk Adjusted Performance of 0.0968, mean deviation of 0.4156, and Semi Deviation of 0.3832 to double-check if the risk estimate we provide is consistent with the expected return of 0.0655%. The etf shows a Beta (market volatility) of 0.52, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Advisors Inner's returns are expected to increase less than the market. However, during the bear market, the loss of holding Advisors Inner is expected to be smaller as well.
Auto-correlation | 0.65 |
Good predictability
The Advisors Inner has good predictability. Overlapping area represents the amount of predictability between Advisors Inner time series from 30th of May 2024 to 28th of August 2024 and 28th of August 2024 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 Advisors Inner price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Advisors Inner price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Advisors Inner lagged returns against current returns
Autocorrelation, which is Advisors Inner 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 Advisors Inner's etf expected returns. We can calculate the autocorrelation of Advisors Inner returns to help us make a trade decision. For example, suppose you find that Advisors Inner 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 |
Advisors Inner 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 Advisors Inner etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Advisors Inner etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Advisors Inner etf over time.
Current vs Lagged Prices |
| Timeline |
Advisors Inner Lagged Returns
When evaluating Advisors Inner's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Advisors Inner etf have on its future price. Advisors Inner 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, Advisors Inner autocorrelation shows the relationship between Advisors Inner etf current value and its past values and can show if there is a momentum factor associated with investing in The Advisors Inner.
Regressed Prices |
| Timeline |
Pair Trading with Advisors Inner
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 Advisors Inner 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 Advisors Inner will appreciate offsetting losses from the drop in the long position's value.Moving together with Advisors Etf
| 0.93 | JEPI | JPMorgan Equity Premium | PairCorr |
| 0.85 | XYLD | Global X SP | PairCorr |
| 0.95 | DIVO | Amplify CWP Enhanced | PairCorr |
| 0.8 | RYLD | Global X Russell | PairCorr |
| 0.81 | JEPQ | JPMorgan Nasdaq Equity | PairCorr |
The ability to find closely correlated positions to Advisors Inner could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Advisors Inner 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 Advisors Inner - 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 The Advisors Inner to buy it.
The correlation of Advisors Inner 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 Advisors Inner moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Advisors Inner 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 Advisors Inner 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 Advisors Inner Correlation, Advisors Inner Volatility and Advisors Inner Alpha and Beta module to complement your research on Advisors Inner. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Advisors Inner 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.