Oppenheimer Etf Market Value

OMFL
 Etf
  

USD 44.21  1.01  2.23%   

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 Correlation, Oppenheimer Russell Volatility and Oppenheimer Russell Alpha and Beta module to complement your research on Oppenheimer Russell.
Symbol

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
11/06/2021
No Change 0.00  0.0 
In 1 year and 25 days
12/01/2022
0.00
If you would invest  0.00  in Oppenheimer Russell on November 6, 2021 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 390 days. Oppenheimer Russell is related to or competes with Cisco Systems. 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
43.8345.2246.61
Details
Intrinsic
Valuation
LowReal ValueHigh
43.0644.4545.84
Details
Naive
Forecast
LowNext ValueHigh
44.1445.5246.91
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
39.4142.5745.73
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

We consider Oppenheimer Russell very steady. Oppenheimer Russell 1000 maintains Sharpe Ratio (i.e., Efficiency) of 0.0966, which implies the entity had 0.0966% 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-one technical indicators for Oppenheimer Russell 1000, which you can use to evaluate the future volatility of the etf. Please check Oppenheimer Russell 1000 Risk Adjusted Performance of 0.0958, coefficient of variation of 1540.12, and Semi Deviation of 1.09 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%.
The etf holds a Beta of 0.8787, which implies possible diversification benefits within a given portfolio. Let's try to break down what Oppenheimer's beta means in this case. Oppenheimer Russell returns are very sensitive to returns on the market. As the market goes up or down, Oppenheimer Russell is expected to follow. Although it is important to respect Oppenheimer Russell 1000 current trending patterns, it is better to be realistic regarding the information on the equity's existing price patterns. The philosophy towards forecasting future performance of any etf is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By analyzing Oppenheimer Russell 1000 technical indicators, you can presently evaluate if the expected return of 0.13% will be sustainable into the future.

Auto-correlation

    
  -0.05  

Very weak reverse predictability

Oppenheimer Russell 1000 has very weak reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Russell time series from 6th of November 2021 to 20th of May 2022 and 20th of May 2022 to 1st of December 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 -0.05 indicates that only as little as 5.0% of current Oppenheimer Russell price fluctuation can be explain by its past prices.
Correlation Coefficient-0.05
Spearman Rank Test0.0
Residual Average0.0
Price Variance2.91

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  

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Oppenheimer Russell in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Oppenheimer Russell's short interest history, or implied volatility extrapolated from Oppenheimer Russell options trading.

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Please check Oppenheimer Russell Correlation, Oppenheimer Russell Volatility and Oppenheimer Russell Alpha and Beta module to complement your research on Oppenheimer Russell. 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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, etf 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...