Oppenheimer Main Street Fund Market Value

MSIGX Fund  USD 59.91  3.30  5.22%   
Oppenheimer Main's market value is the price at which a share of Oppenheimer Main trades on a public exchange. It measures the collective expectations of Oppenheimer Main Street investors about its performance. Oppenheimer Main is trading at 59.91 as of the 17th of December 2024; that is 5.22% down since the beginning of the trading day. The fund's open price was 63.21.
With this module, you can estimate the performance of a buy and hold strategy of Oppenheimer Main Street and determine expected loss or profit from investing in Oppenheimer Main over a given investment horizon. Check out Oppenheimer Main Correlation, Oppenheimer Main Volatility and Oppenheimer Main Alpha and Beta module to complement your research on Oppenheimer Main.
Symbol

Please note, there is a significant difference between Oppenheimer Main's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oppenheimer Main is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oppenheimer Main'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 Main '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 Main's mutual fund 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 Main.
0.00
12/28/2022
No Change 0.00  0.0 
In 1 year 11 months and 22 days
12/17/2024
0.00
If you would invest  0.00  in Oppenheimer Main on December 28, 2022 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Main Street or generate 0.0% return on investment in Oppenheimer Main over 720 days. Oppenheimer Main is related to or competes with Invesco Municipal, Invesco Municipal, Invesco Municipal, Invesco High, Oppenheimer Strategic, Oppenheimer International, and Oppenheimer International. The fund mainly invests in common stocks of U.S More

Oppenheimer Main 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 Main's mutual fund 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 Main Street upside and downside potential and time the market with a certain degree of confidence.

Oppenheimer Main Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Main's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Main's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Main historical prices to predict the future Oppenheimer Main's volatility.
Hype
Prediction
LowEstimatedHigh
58.9459.9160.88
Details
Intrinsic
Valuation
LowRealHigh
58.2359.2060.17
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Oppenheimer Main. Your research has to be compared to or analyzed against Oppenheimer Main's peers to derive any actionable benefits. When done correctly, Oppenheimer Main's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Oppenheimer Main Street.

Oppenheimer Main Street Backtested Returns

At this stage we consider Oppenheimer Mutual Fund to be very steady. Oppenheimer Main Street maintains Sharpe Ratio (i.e., Efficiency) of 0.0269, which implies the entity had a 0.0269% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Oppenheimer Main Street, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Main's Coefficient Of Variation of 4568.1, semi deviation of 1.18, and Risk Adjusted Performance of 0.0182 to confirm if the risk estimate we provide is consistent with the expected return of 0.0259%. The fund holds a Beta of 0.81, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oppenheimer Main's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Main is expected to be smaller as well.

Auto-correlation

    
  0.73  

Good predictability

Oppenheimer Main Street has good predictability. Overlapping area represents the amount of predictability between Oppenheimer Main time series from 28th of December 2022 to 23rd of December 2023 and 23rd of December 2023 to 17th of December 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 Oppenheimer Main Street price movement. The serial correlation of 0.73 indicates that around 73.0% of current Oppenheimer Main price fluctuation can be explain by its past prices.
Correlation Coefficient0.73
Spearman Rank Test0.73
Residual Average0.0
Price Variance14.78

Oppenheimer Main Street lagged returns against current returns

Autocorrelation, which is Oppenheimer Main mutual fund'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 Main's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Main returns to help us make a trade decision. For example, suppose you find that Oppenheimer Main has exhibited high autocorrelation historically, and you observe that the mutual fund 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  

Oppenheimer Main 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 Main mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Main mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oppenheimer Main mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Oppenheimer Main Lagged Returns

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

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Other Information on Investing in Oppenheimer Mutual Fund

Oppenheimer Main financial ratios help investors to determine whether Oppenheimer Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Oppenheimer with respect to the benefits of owning Oppenheimer Main security.
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