Oppenheimer Etf Market Value

OMFL
 Etf
  

USD 41.61  0.42  1.02%   

Oppenheimer Russell's market value is the price at which a share of Oppenheimer Russell stock trades on a public exchange. It measures the collective expectations of Oppenheimer Russell 1000 investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Oppenheimer Russell 1000 and determine expected loss or profit from investing in Oppenheimer Russell over a given investment horizon. Please check Oppenheimer Russell Hype Analysis, Oppenheimer Russell Correlation, Portfolio Optimization, Oppenheimer Russell Volatility, as well as analyze Oppenheimer Russell Alpha and Beta and Oppenheimer Russell Performance.
Symbol
Backtest

The market value of Oppenheimer Russell 1000 is measured differently than its book value, which is the value of Oppenheimer that is recorded on the company's balance sheet. Investors also form their own opinion of Oppenheimer Russell's value that differs from its market value or its book value, called intrinsic value, which is Oppenheimer Russell'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 Oppenheimer Russell's market value can be influenced by many factors that don't directly affect Oppenheimer Russell'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 Oppenheimer Russell's value and its price as these two are different measures arrived at by different means. Investors typically determine Oppenheimer Russell value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oppenheimer Russell'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.

Oppenheimer Russell '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 Oppenheimer Russell'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 Oppenheimer Russell.
0.00
07/13/2020
No Change 0.00  0.0 
In 1 year 11 months and 22 days
07/03/2022
0.00
If you would invest  0.00  in Oppenheimer Russell on July 13, 2020 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Russell 1000 or generate 0.0% return on investment in Oppenheimer Russell over 720 days. The fund generally will invest at least 80 percent of its total assets in the securities that comprise the underlying in...More

Oppenheimer Russell 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 Oppenheimer Russell'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 Oppenheimer Russell 1000 upside and downside potential and time the market with a certain degree of confidence.

Oppenheimer Russell Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Russell's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Russell's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Russell historical prices to predict the future Oppenheimer Russell's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Oppenheimer Russell'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 Oppenheimer Russell in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
39.7841.6143.44
Details
Intrinsic
Valuation
LowReal ValueHigh
40.5042.3344.16
Details
Naive
Forecast
LowNext ValueHigh
41.6843.5145.34
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
41.1241.5441.96
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Oppenheimer Russell. Your research has to be compared to or analyzed against Oppenheimer Russell's peers to derive any actionable benefits. When done correctly, Oppenheimer Russell's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Oppenheimer Russell 1000.

Oppenheimer Russell 1000 Backtested Returns

Oppenheimer Russell 1000 maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the entity had -0.11% of return per unit of risk over the last 3 months. Macroaxis standpoint towards forecasting the risk of any etf is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Oppenheimer Russell 1000 exposes twenty-one different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to check Oppenheimer Russell 1000 risk adjusted performance of (0.16), and Coefficient Of Variation of (876.01) to confirm the risk estimate we provide.
The etf holds a Beta of 1.194, which implies a somewhat significant risk relative to the market. Let's try to break down what Oppenheimer's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Oppenheimer Russell will likely underperform. Even though it is essential to pay attention to Oppenheimer Russell 1000 current trending patterns, it is always good to be careful when utilizing equity existing price patterns. Our philosophy towards forecasting any etf's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Oppenheimer Russell 1000 exposes twenty-one different technical indicators, which can help you to evaluate its performance.

Auto-correlation

    
  -0.36  

Poor reverse predictability

Oppenheimer Russell 1000 has poor reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Russell time series from 13th of July 2020 to 8th of July 2021 and 8th of July 2021 to 3rd of July 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Oppenheimer Russell 1000 price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Oppenheimer Russell price fluctuation can be explain by its past prices.
Correlation Coefficient-0.36
Spearman Rank Test-0.39
Residual Average0.0
Price Variance4.93

Oppenheimer Russell 1000 lagged returns against current returns

Autocorrelation, which is Oppenheimer Russell 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 Oppenheimer Russell's etf expected returns. We can calculate the autocorrelation of Oppenheimer Russell returns to help us make a trade decision. For example, suppose you find that Oppenheimer Russell 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 
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Oppenheimer Russell 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 Oppenheimer Russell etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Russell etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oppenheimer Russell etf over time.
 Current vs Lagged Prices 
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      Timeline 

Oppenheimer Russell Lagged Returns

When evaluating Oppenheimer Russell's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Russell etf have on its future price. Oppenheimer Russell 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, Oppenheimer Russell autocorrelation shows the relationship between Oppenheimer Russell etf current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Russell 1000.
 Regressed Prices 
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      Timeline 

Be your own money manager

Our tools can tell you how much better you can do entering a position in Oppenheimer Russell without increasing your portfolio risk or giving up 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.

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Please check Oppenheimer Russell Hype Analysis, Oppenheimer Russell Correlation, Portfolio Optimization, Oppenheimer Russell Volatility, as well as analyze Oppenheimer Russell Alpha and Beta and Oppenheimer Russell Performance. Note that the Oppenheimer Russell 1000 information on this page should be used as a complementary analysis to other Oppenheimer Russell's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

Complementary Tools for Oppenheimer Etf analysis

When running Oppenheimer Russell 1000 price analysis, check to measure Oppenheimer Russell'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 Oppenheimer Russell is operating at the current time. Most of Oppenheimer Russell's value examination focuses on studying past and present price action to predict the probability of Oppenheimer Russell's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Oppenheimer Russell's price. Additionally, you may evaluate how the addition of Oppenheimer Russell to your portfolios can decrease your overall portfolio volatility.
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Oppenheimer Russell 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, stock market cycles, or different charting patterns.
A focus of Oppenheimer Russell technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Oppenheimer Russell trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...