Proshares Supply Chain Etf Market Value
| SUPL Etf | USD 40.93 0.07 0.17% |
| Symbol | ProShares |
The market value of ProShares Supply Chain 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 Supply's value that differs from its market value or its book value, called intrinsic value, which is ProShares Supply'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 Supply's market value can be influenced by many factors that don't directly affect ProShares Supply'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 Supply's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Supply is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Supply'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 Supply '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 Supply'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 Supply.
| 06/16/2024 |
| 12/13/2024 |
If you would invest 0.00 in ProShares Supply on June 16, 2024 and sell it all today you would earn a total of 0.00 from holding ProShares Supply Chain or generate 0.0% return on investment in ProShares Supply over 180 days. ProShares Supply is related to or competes with SonicShares Global, ProShares Smart, ProShares Metaverse, ProShares, and US Global. The fund invests in financial instruments that ProShare Advisors believes should track the performance of the index More
ProShares Supply 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 Supply'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 Supply Chain upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8372 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.47 |
ProShares Supply Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Supply's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Supply's standard deviation. In reality, there are many statistical measures that can use ProShares Supply historical prices to predict the future ProShares Supply's volatility.| Risk Adjusted Performance | 0.027 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.0294 |
ProShares Supply Chain Backtested Returns
As of now, ProShares Etf is very steady. ProShares Supply Chain maintains Sharpe Ratio (i.e., Efficiency) of 0.021, which implies the entity had a 0.021% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for ProShares Supply Chain, which you can use to evaluate the volatility of the etf. Please check ProShares Supply's Risk Adjusted Performance of 0.027, semi deviation of 0.8053, and Coefficient Of Variation of 2824.3 to confirm if the risk estimate we provide is consistent with the expected return of 0.0177%. The etf holds a Beta of 0.67, which implies possible diversification benefits within a given portfolio. As returns on the market increase, ProShares Supply's returns are expected to increase less than the market. However, during the bear market, the loss of holding ProShares Supply is expected to be smaller as well.
Auto-correlation | 0.12 |
Insignificant predictability
ProShares Supply Chain has insignificant predictability. Overlapping area represents the amount of predictability between ProShares Supply time series from 16th of June 2024 to 14th of September 2024 and 14th of September 2024 to 13th of December 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 Supply Chain price movement. The serial correlation of 0.12 indicates that less than 12.0% of current ProShares Supply price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.3 |
ProShares Supply Chain lagged returns against current returns
Autocorrelation, which is ProShares Supply 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 Supply's etf expected returns. We can calculate the autocorrelation of ProShares Supply returns to help us make a trade decision. For example, suppose you find that ProShares Supply 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 Supply 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 Supply etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares Supply etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares Supply etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares Supply Lagged Returns
When evaluating ProShares Supply's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares Supply etf have on its future price. ProShares Supply 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 Supply autocorrelation shows the relationship between ProShares Supply etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares Supply Chain.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out ProShares Supply Correlation, ProShares Supply Volatility and ProShares Supply Alpha and Beta module to complement your research on ProShares Supply. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
ProShares Supply 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.