Overlay Shares Hedged Etf Market Value
| OVLH Etf | USD 34.90 0.19 0.55% |
| Symbol | Overlay |
The market value of Overlay Shares Hedged is measured differently than its book value, which is the value of Overlay that is recorded on the company's balance sheet. Investors also form their own opinion of Overlay Shares' value that differs from its market value or its book value, called intrinsic value, which is Overlay Shares' 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 Overlay Shares' market value can be influenced by many factors that don't directly affect Overlay Shares' 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 Overlay Shares' value and its price as these two are different measures arrived at by different means. Investors typically determine if Overlay Shares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Overlay Shares' 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.
Overlay Shares '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 Overlay Shares' 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 Overlay Shares.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Overlay Shares on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Overlay Shares Hedged or generate 0.0% return on investment in Overlay Shares over 30 days. Overlay Shares is related to or competes with Vanguard Total, SPDR SP, IShares Core, Vanguard Dividend, Vanguard Large, Invesco SP, and IShares Russell. The fund is an actively-managed ETF that seeks to achieve its objective by investing in one or more other ETFs that seek... More
Overlay Shares 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 Overlay Shares' 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 Overlay Shares Hedged upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5115 | |||
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 2.64 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 0.7055 |
Overlay Shares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Overlay Shares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Overlay Shares' standard deviation. In reality, there are many statistical measures that can use Overlay Shares historical prices to predict the future Overlay Shares' volatility.| Risk Adjusted Performance | 0.1284 | |||
| Jensen Alpha | 0.0086 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.1434 |
Overlay Shares Hedged Backtested Returns
Overlay Shares is very steady at the moment. Overlay Shares Hedged maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the entity had a 0.2% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Overlay Shares Hedged, which you can use to evaluate the volatility of the etf. Please check Overlay Shares' Risk Adjusted Performance of 0.1284, coefficient of variation of 572.27, and Semi Deviation of 0.3446 to confirm if the risk estimate we provide is consistent with the expected return of 0.0982%. The etf holds a Beta of 0.54, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Overlay Shares' returns are expected to increase less than the market. However, during the bear market, the loss of holding Overlay Shares is expected to be smaller as well.
Auto-correlation | 0.88 |
Very good predictability
Overlay Shares Hedged has very good predictability. Overlapping area represents the amount of predictability between Overlay Shares time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Overlay Shares Hedged price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current Overlay Shares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Overlay Shares Hedged lagged returns against current returns
Autocorrelation, which is Overlay Shares 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 Overlay Shares' etf expected returns. We can calculate the autocorrelation of Overlay Shares returns to help us make a trade decision. For example, suppose you find that Overlay Shares 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 |
Overlay Shares 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 Overlay Shares etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Overlay Shares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Overlay Shares etf over time.
Current vs Lagged Prices |
| Timeline |
Overlay Shares Lagged Returns
When evaluating Overlay Shares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Overlay Shares etf have on its future price. Overlay Shares 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, Overlay Shares autocorrelation shows the relationship between Overlay Shares etf current value and its past values and can show if there is a momentum factor associated with investing in Overlay Shares Hedged.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Overlay Shares Hedged offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Overlay Shares' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Overlay Shares Hedged Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Overlay Shares Hedged Etf:Check out Overlay Shares Correlation, Overlay Shares Volatility and Overlay Shares Alpha and Beta module to complement your research on Overlay Shares. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Overlay Shares 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.