Proshares High Yieldinterest Etf Market Value
| HYHG Etf | USD 65.82 0.02 0.03% |
| Symbol | ProShares |
The market value of ProShares High Yield is measured differently than its book value, which is the value of ProShares that is recorded on the company's balance sheet. Investors also form their own opinion of ProShares High's value that differs from its market value or its book value, called intrinsic value, which is ProShares High'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 ProShares High's market value can be influenced by many factors that don't directly affect ProShares High'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 ProShares High's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares High is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares High'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.
ProShares High '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 ProShares High'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 ProShares High.
| 05/26/2024 |
| 11/22/2024 |
If you would invest 0.00 in ProShares High on May 26, 2024 and sell it all today you would earn a total of 0.00 from holding ProShares High YieldInterest or generate 0.0% return on investment in ProShares High over 180 days. ProShares High is related to or competes with IShares Interest, IShares Interest, and WisdomTree Interest. Under normal circumstances, the fund will invest at least 80 percent of its total assets in high-yield bonds included in... More
ProShares High 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 ProShares High'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 ProShares High YieldInterest upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2023 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 1.1 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.3919 |
ProShares High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares High's standard deviation. In reality, there are many statistical measures that can use ProShares High historical prices to predict the future ProShares High's volatility.| Risk Adjusted Performance | 0.1948 | |||
| Jensen Alpha | 0.0415 | |||
| Total Risk Alpha | 0.03 | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.3346 |
ProShares High Yield Backtested Returns
At this point, ProShares High is very steady. ProShares High Yield maintains Sharpe Ratio (i.e., Efficiency) of 0.27, which implies the entity had a 0.27% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for ProShares High Yield, which you can use to evaluate the volatility of the etf. Please check ProShares High's Standard Deviation of 0.2269, downside deviation of 0.2023, and Risk Adjusted Performance of 0.1948 to confirm if the risk estimate we provide is consistent with the expected return of 0.062%. The etf holds a Beta of 0.17, which implies not very significant fluctuations relative to the market. As returns on the market increase, ProShares High's returns are expected to increase less than the market. However, during the bear market, the loss of holding ProShares High is expected to be smaller as well.
Auto-correlation | 0.48 |
Average predictability
ProShares High YieldInterest has average predictability. Overlapping area represents the amount of predictability between ProShares High time series from 26th of May 2024 to 24th of August 2024 and 24th of August 2024 to 22nd 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 ProShares High Yield price movement. The serial correlation of 0.48 indicates that about 48.0% of current ProShares High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.75 |
ProShares High Yield lagged returns against current returns
Autocorrelation, which is ProShares High 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 ProShares High's etf expected returns. We can calculate the autocorrelation of ProShares High returns to help us make a trade decision. For example, suppose you find that ProShares High 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 |
ProShares High 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 ProShares High etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares High etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares High etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares High Lagged Returns
When evaluating ProShares High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares High etf have on its future price. ProShares High 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, ProShares High autocorrelation shows the relationship between ProShares High etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares High YieldInterest.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether ProShares High Yield is a strong investment it is important to analyze ProShares High's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact ProShares High's future performance. For an informed investment choice regarding ProShares Etf, refer to the following important reports:Check out ProShares High Correlation, ProShares High Volatility and ProShares High Alpha and Beta module to complement your research on ProShares High. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
ProShares High 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.