Advisorshares Focused Equity Etf Market Value
| CWS Etf | USD 67.86 0.15 0.22% |
| Symbol | AdvisorShares |
The market value of AdvisorShares Focused 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 Focused's value that differs from its market value or its book value, called intrinsic value, which is AdvisorShares Focused'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 AdvisorShares Focused's market value can be influenced by many factors that don't directly affect AdvisorShares Focused'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 AdvisorShares Focused's value and its price as these two are different measures arrived at by different means. Investors typically determine if AdvisorShares Focused is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AdvisorShares Focused'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.
AdvisorShares Focused '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 Focused'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 AdvisorShares Focused.
| 01/08/2025 |
| 02/07/2025 |
If you would invest 0.00 in AdvisorShares Focused on January 8, 2025 and sell it all today you would earn a total of 0.00 from holding AdvisorShares Focused Equity or generate 0.0% return on investment in AdvisorShares Focused over 30 days. AdvisorShares Focused is related to or competes with Lithium Boron. The fund seeks to achieve its investment objective by investing primarily in a focused group of U.S More
AdvisorShares Focused 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 Focused'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 AdvisorShares Focused Equity upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 4.27 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 1.43 |
AdvisorShares Focused Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AdvisorShares Focused's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AdvisorShares Focused's standard deviation. In reality, there are many statistical measures that can use AdvisorShares Focused historical prices to predict the future AdvisorShares Focused's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.22) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AdvisorShares Focused'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.
AdvisorShares Focused Backtested Returns
AdvisorShares Focused secures Sharpe Ratio (or Efficiency) of -0.0904, which signifies that the etf had a -0.0904 % return per unit of risk over the last 3 months. AdvisorShares Focused Equity exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AdvisorShares Focused's Risk Adjusted Performance of (0.07), mean deviation of 0.6256, and Standard Deviation of 0.8411 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.39, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AdvisorShares Focused's returns are expected to increase less than the market. However, during the bear market, the loss of holding AdvisorShares Focused is expected to be smaller as well.
Auto-correlation | -0.37 |
Poor reverse predictability
AdvisorShares Focused Equity has poor reverse predictability. Overlapping area represents the amount of predictability between AdvisorShares Focused time series from 8th of January 2025 to 23rd of January 2025 and 23rd of January 2025 to 7th of February 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 Focused price movement. The serial correlation of -0.37 indicates that just about 37.0% of current AdvisorShares Focused price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
AdvisorShares Focused lagged returns against current returns
Autocorrelation, which is AdvisorShares Focused 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 Focused's etf expected returns. We can calculate the autocorrelation of AdvisorShares Focused returns to help us make a trade decision. For example, suppose you find that AdvisorShares Focused 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 Focused 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 Focused etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AdvisorShares Focused etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AdvisorShares Focused etf over time.
Current vs Lagged Prices |
| Timeline |
AdvisorShares Focused Lagged Returns
When evaluating AdvisorShares Focused's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AdvisorShares Focused etf have on its future price. AdvisorShares Focused 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 Focused autocorrelation shows the relationship between AdvisorShares Focused etf current value and its past values and can show if there is a momentum factor associated with investing in AdvisorShares Focused Equity.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out AdvisorShares Focused Correlation, AdvisorShares Focused Volatility and AdvisorShares Focused Alpha and Beta module to complement your research on AdvisorShares Focused. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
AdvisorShares Focused 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.