Oshares Europe Quality Etf Market Value
OEUR Etf | USD 27.68 0.04 0.14% |
Symbol | OShares |
The market value of OShares Europe Quality is measured differently than its book value, which is the value of OShares that is recorded on the company's balance sheet. Investors also form their own opinion of OShares Europe's value that differs from its market value or its book value, called intrinsic value, which is OShares Europe'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 OShares Europe's market value can be influenced by many factors that don't directly affect OShares Europe'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 OShares Europe's value and its price as these two are different measures arrived at by different means. Investors typically determine if OShares Europe is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, OShares Europe'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.
OShares Europe '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 OShares Europe'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 OShares Europe.
12/11/2022 |
| 12/06/2023 |
If you would invest 0.00 in OShares Europe on December 11, 2022 and sell it all today you would earn a total of 0.00 from holding OShares Europe Quality or generate 0.0% return on investment in OShares Europe over 360 days. OShares Europe is related to or competes with Northern Lights, Dimensional International, First Trust, FT Cboe, FT Cboe, ProShares Short, and Vanguard Large. The underlying index is designed to measure the performance of publicly-listed large-capitalization and mid-capitalizati... More
OShares Europe 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 OShares Europe'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 OShares Europe Quality upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7761 | |||
Information Ratio | 0.0555 | |||
Maximum Drawdown | 2.89 | |||
Value At Risk | (1.28) | |||
Potential Upside | 1.41 |
OShares Europe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OShares Europe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OShares Europe's standard deviation. In reality, there are many statistical measures that can use OShares Europe historical prices to predict the future OShares Europe's volatility.Risk Adjusted Performance | 0.0493 | |||
Jensen Alpha | 0.0452 | |||
Total Risk Alpha | 0.046 | |||
Sortino Ratio | 0.0589 | |||
Treynor Ratio | 0.0482 |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of OShares Europe'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. Please use the tools below to analyze the current value of OShares Europe in the context of predictive analytics.
OShares Europe Quality Backtested Returns
We consider OShares Europe very steady. OShares Europe Quality maintains Sharpe Ratio (i.e., Efficiency) of 0.0835, which implies the entity had 0.0835% of return per unit of risk over the last 3 months. Our standpoint towards forecasting the volatility of an etf is to use all available market data together with etf-specific technical indicators that cannot be diversified away. We have found twenty-seven technical indicators for OShares Europe Quality, which you can use to evaluate the future volatility of the etf. Please check OShares Europe Quality Coefficient Of Variation of 1594.87, semi deviation of 0.7031, and Risk Adjusted Performance of 0.0493 to confirm if the risk estimate we provide is consistent with the expected return of 0.0691%. The etf holds a Beta of 0.8643, which implies possible diversification benefits within a given portfolio. OShares Europe returns are very sensitive to returns on the market. As the market goes up or down, OShares Europe is expected to follow.
Auto-correlation | -0.62 |
Very good reverse predictability
OShares Europe Quality has very good reverse predictability. Overlapping area represents the amount of predictability between OShares Europe time series from 11th of December 2022 to 9th of June 2023 and 9th of June 2023 to 6th of December 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of OShares Europe Quality price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current OShares Europe price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.62 | |
Spearman Rank Test | -0.5 | |
Residual Average | 0.0 | |
Price Variance | 0.89 |
OShares Europe Quality lagged returns against current returns
Autocorrelation, which is OShares Europe 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 OShares Europe's etf expected returns. We can calculate the autocorrelation of OShares Europe returns to help us make a trade decision. For example, suppose you find that OShares Europe etf has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
Current and Lagged Values |
Timeline |
OShares Europe 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 OShares Europe etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if OShares Europe etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in OShares Europe etf over time.
Current vs Lagged Prices |
Timeline |
OShares Europe Lagged Returns
When evaluating OShares Europe's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of OShares Europe etf have on its future price. OShares Europe 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, OShares Europe autocorrelation shows the relationship between OShares Europe etf current value and its past values and can show if there is a momentum factor associated with investing in OShares Europe Quality.
Regressed Prices |
Timeline |
Be your own money manager
Our tools can tell you how much better you can do entering a position in OShares Europe without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as OShares Europe Quality using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
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Check out OShares Europe Correlation, OShares Europe Volatility and OShares Europe Alpha and Beta module to complement your research on OShares Europe. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary Tools for OShares Etf analysis
When running OShares Europe's price analysis, check to measure OShares Europe's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy OShares Europe is operating at the current time. Most of OShares Europe's value examination focuses on studying past and present price action to predict the probability of OShares Europe's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move OShares Europe's price. Additionally, you may evaluate how the addition of OShares Europe to your portfolios can decrease your overall portfolio volatility.
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OShares Europe 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.