Advisorshares Ranger Equity Etf Market Value
| HDGE Etf | USD 21.45 0.02 0.09% |
| Symbol | AdvisorShares |
The market value of AdvisorShares Ranger 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 Ranger's value that differs from its market value or its book value, called intrinsic value, which is AdvisorShares Ranger'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 Ranger's market value can be influenced by many factors that don't directly affect AdvisorShares Ranger'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 Ranger's value and its price as these two are different measures arrived at by different means. Investors typically determine if AdvisorShares Ranger is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AdvisorShares Ranger'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 Ranger '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 Ranger'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 Ranger.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in AdvisorShares Ranger on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding AdvisorShares Ranger Equity or generate 0.0% return on investment in AdvisorShares Ranger over 30 days. AdvisorShares Ranger is related to or competes with ProShares Ultra, HUMANA, Thrivent High, Via Renewables, T Rowe, and FT Cboe. The Sub-Advisor seeks to achieve the funds investment objective by short selling a portfolio of liquid mid- and large-ca... More
AdvisorShares Ranger 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 Ranger'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 Ranger Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | 0.0305 | |||
| Maximum Drawdown | 6.72 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 2.14 |
AdvisorShares Ranger Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AdvisorShares Ranger's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AdvisorShares Ranger's standard deviation. In reality, there are many statistical measures that can use AdvisorShares Ranger historical prices to predict the future AdvisorShares Ranger's volatility.| Risk Adjusted Performance | 0.0503 | |||
| Jensen Alpha | 0.1628 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0332 | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AdvisorShares Ranger'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 Ranger Backtested Returns
We consider AdvisorShares Ranger very steady. AdvisorShares Ranger secures Sharpe Ratio (or Efficiency) of 0.0597, which signifies that the etf had a 0.0597% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for AdvisorShares Ranger Equity, which you can use to evaluate the volatility of the entity. Please confirm AdvisorShares Ranger's Mean Deviation of 1.06, downside deviation of 1.25, and Risk Adjusted Performance of 0.0503 to double-check if the risk estimate we provide is consistent with the expected return of 0.0818%. The etf shows a Beta (market volatility) of -1.67, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning AdvisorShares Ranger are expected to decrease by larger amounts. On the other hand, during market turmoil, AdvisorShares Ranger is expected to outperform it.
Auto-correlation | -0.1 |
Very weak reverse predictability
AdvisorShares Ranger Equity has very weak reverse predictability. Overlapping area represents the amount of predictability between AdvisorShares Ranger time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Ranger price movement. The serial correlation of -0.1 indicates that less than 10.0% of current AdvisorShares Ranger price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
AdvisorShares Ranger lagged returns against current returns
Autocorrelation, which is AdvisorShares Ranger 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 Ranger's etf expected returns. We can calculate the autocorrelation of AdvisorShares Ranger returns to help us make a trade decision. For example, suppose you find that AdvisorShares Ranger 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 Ranger 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 Ranger etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AdvisorShares Ranger etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AdvisorShares Ranger etf over time.
Current vs Lagged Prices |
| Timeline |
AdvisorShares Ranger Lagged Returns
When evaluating AdvisorShares Ranger's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AdvisorShares Ranger etf have on its future price. AdvisorShares Ranger 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 Ranger autocorrelation shows the relationship between AdvisorShares Ranger etf current value and its past values and can show if there is a momentum factor associated with investing in AdvisorShares Ranger Equity.
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 Ranger 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 Ranger's short interest history, or implied volatility extrapolated from AdvisorShares Ranger options trading.
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Try AI Portfolio ArchitectCheck out AdvisorShares Ranger Correlation, AdvisorShares Ranger Volatility and AdvisorShares Ranger Alpha and Beta module to complement your research on AdvisorShares Ranger. Note that the AdvisorShares Ranger information on this page should be used as a complementary analysis to other AdvisorShares Ranger's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
AdvisorShares Ranger 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.