Advisorshares Q Dynamic Etf Market Value
| QPX Etf | USD 31.29 0.12 0.38% |
| Symbol | AdvisorShares |
The market value of AdvisorShares Q Dynamic is measured differently than its book value, which is the value of AdvisorShares that is recorded on the company's balance sheet. Investors also form their own opinion of AdvisorShares' value that differs from its market value or its book value, called intrinsic value, which is AdvisorShares' 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 AdvisorShares' market value can be influenced by many factors that don't directly affect AdvisorShares' 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 AdvisorShares' value and its price as these two are different measures arrived at by different means. Investors typically determine if AdvisorShares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AdvisorShares' 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.
AdvisorShares '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 AdvisorShares' 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 AdvisorShares.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in AdvisorShares on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding AdvisorShares Q Dynamic or generate 0.0% return on investment in AdvisorShares over 30 days. AdvisorShares is related to or competes with IShares Small, Pacer Cash, GXO Logistics, and Amplify CWP. The fund invests in ETFs representing all asset classes, including, but not limited to, treasury bonds, municipal bonds,... More
AdvisorShares 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 AdvisorShares' 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 AdvisorShares Q Dynamic upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8011 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 4.0 | |||
| Value At Risk | (1.39) | |||
| Potential Upside | 1.21 |
AdvisorShares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AdvisorShares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AdvisorShares' standard deviation. In reality, there are many statistical measures that can use AdvisorShares historical prices to predict the future AdvisorShares' volatility.| Risk Adjusted Performance | 0.0194 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0123 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AdvisorShares' 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.
AdvisorShares Q Dynamic Backtested Returns
We consider AdvisorShares very steady. AdvisorShares Q Dynamic secures Sharpe Ratio (or Efficiency) of 0.0301, which signifies that the etf had a 0.0301% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for AdvisorShares Q Dynamic, which you can use to evaluate the volatility of the entity. Please confirm AdvisorShares' Mean Deviation of 0.6442, risk adjusted performance of 0.0194, and Downside Deviation of 0.8011 to double-check if the risk estimate we provide is consistent with the expected return of 0.0255%. The etf shows a Beta (market volatility) of 1.01, which signifies a somewhat significant risk relative to the market. AdvisorShares returns are very sensitive to returns on the market. As the market goes up or down, AdvisorShares is expected to follow.
Auto-correlation | 0.74 |
Good predictability
AdvisorShares Q Dynamic has good predictability. Overlapping area represents the amount of predictability between AdvisorShares time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 AdvisorShares Q Dynamic price movement. The serial correlation of 0.74 indicates that around 74.0% of current AdvisorShares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.35 |
AdvisorShares Q Dynamic lagged returns against current returns
Autocorrelation, which is AdvisorShares 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 AdvisorShares' etf expected returns. We can calculate the autocorrelation of AdvisorShares returns to help us make a trade decision. For example, suppose you find that AdvisorShares 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 |
AdvisorShares 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 AdvisorShares etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AdvisorShares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AdvisorShares etf over time.
Current vs Lagged Prices |
| Timeline |
AdvisorShares Lagged Returns
When evaluating AdvisorShares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AdvisorShares etf have on its future price. AdvisorShares 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, AdvisorShares autocorrelation shows the relationship between AdvisorShares etf current value and its past values and can show if there is a momentum factor associated with investing in AdvisorShares Q Dynamic.
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 AdvisorShares 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, AdvisorShares' short interest history, or implied volatility extrapolated from AdvisorShares options trading.
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Check out AdvisorShares Correlation, AdvisorShares Volatility and AdvisorShares Alpha and Beta module to complement your research on AdvisorShares. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
AdvisorShares 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.