Proshares Online Retail Etf Market Value
| ONLN Etf | USD 44.93 0.22 0.49% |
| Symbol | ProShares |
The market value of ProShares Online Retail 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 Online's value that differs from its market value or its book value, called intrinsic value, which is ProShares Online'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 Online's market value can be influenced by many factors that don't directly affect ProShares Online'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 Online's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Online is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Online'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 Online '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 Online'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 Online.
| 08/26/2024 |
| 11/24/2024 |
If you would invest 0.00 in ProShares Online on August 26, 2024 and sell it all today you would earn a total of 0.00 from holding ProShares Online Retail or generate 0.0% return on investment in ProShares Online over 90 days. ProShares Online is related to or competes with Amplify Online, ProShares Long, Global X, WisdomTree Cloud, and Global X. Under normal circumstances, the fund will invest at least 80 percent of its total assets in component securities of the ... More
ProShares Online 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 Online'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 Online Retail upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.33 | |||
| Information Ratio | 5.0E-4 | |||
| Maximum Drawdown | 5.82 | |||
| Value At Risk | (1.89) | |||
| Potential Upside | 2.13 |
ProShares Online Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Online's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Online's standard deviation. In reality, there are many statistical measures that can use ProShares Online historical prices to predict the future ProShares Online's volatility.| Risk Adjusted Performance | 0.0779 | |||
| Jensen Alpha | 0.0213 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 6.0E-4 | |||
| Treynor Ratio | 0.1465 |
ProShares Online Retail Backtested Returns
As of now, ProShares Etf is very steady. ProShares Online Retail maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the entity had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for ProShares Online Retail, which you can use to evaluate the volatility of the etf. Please check ProShares Online's Coefficient Of Variation of 1044.26, semi deviation of 1.22, and Risk Adjusted Performance of 0.0779 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The etf holds a Beta of 0.83, which implies possible diversification benefits within a given portfolio. As returns on the market increase, ProShares Online's returns are expected to increase less than the market. However, during the bear market, the loss of holding ProShares Online is expected to be smaller as well.
Auto-correlation | 0.09 |
Virtually no predictability
ProShares Online Retail has virtually no predictability. Overlapping area represents the amount of predictability between ProShares Online time series from 26th of August 2024 to 10th of October 2024 and 10th of October 2024 to 24th 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 Online Retail price movement. The serial correlation of 0.09 indicates that less than 9.0% of current ProShares Online price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.59 |
ProShares Online Retail lagged returns against current returns
Autocorrelation, which is ProShares Online 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 Online's etf expected returns. We can calculate the autocorrelation of ProShares Online returns to help us make a trade decision. For example, suppose you find that ProShares Online 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 Online 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 Online etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares Online etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares Online etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares Online Lagged Returns
When evaluating ProShares Online's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares Online etf have on its future price. ProShares Online 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 Online autocorrelation shows the relationship between ProShares Online etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares Online Retail.
Regressed Prices |
| Timeline |
Pair Trading with ProShares Online
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if ProShares Online position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ProShares Online will appreciate offsetting losses from the drop in the long position's value.Moving together with ProShares Etf
| 0.73 | XLY | Consumer Discretionary | PairCorr |
| 0.72 | VCR | Vanguard Consumer | PairCorr |
| 0.71 | FDIS | Fidelity MSCI Consumer | PairCorr |
The ability to find closely correlated positions to ProShares Online could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ProShares Online when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back ProShares Online - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling ProShares Online Retail to buy it.
The correlation of ProShares Online is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ProShares Online moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ProShares Online Retail moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for ProShares Online can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out ProShares Online Correlation, ProShares Online Volatility and ProShares Online Alpha and Beta module to complement your research on ProShares Online. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
ProShares Online 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.