Advisorshares Q Dynamic Etf Market Value
| QPX Etf | USD 34.51 0.68 2.01% |
| 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.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in AdvisorShares on December 16, 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 90 days. AdvisorShares is related to or competes with AdvisorShares Dorsey, HCM Defender, Sterling Capital, American Century, and First Trust. 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.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 4.94 | |||
| Value At Risk | (1.91) | |||
| Potential Upside | 1.16 |
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 | (0.09) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | 0.0053 | |||
| Treynor Ratio | (0.16) |
AdvisorShares Q Dynamic Backtested Returns
AdvisorShares Q Dynamic secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the etf had a -0.12 % return per unit of risk over the last 3 months. AdvisorShares Q Dynamic exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AdvisorShares' Risk Adjusted Performance of (0.09), mean deviation of 0.774, and Standard Deviation of 1.01 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.76, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AdvisorShares' returns are expected to increase less than the market. However, during the bear market, the loss of holding AdvisorShares is expected to be smaller as well.
Auto-correlation | -0.29 |
Weak reverse predictability
AdvisorShares Q Dynamic has weak reverse predictability. Overlapping area represents the amount of predictability between AdvisorShares time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. 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 -0.29 indicates that nearly 29.0% of current AdvisorShares price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.29 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 1.1 |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether AdvisorShares Q Dynamic offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of AdvisorShares' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Advisorshares Q Dynamic Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Advisorshares Q Dynamic Etf:Check out AdvisorShares Correlation, AdvisorShares Volatility and AdvisorShares Alpha and Beta module to complement your research on AdvisorShares. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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.