Oppenhmr Discovery Mid Fund Market Value

OEGNX Fund  USD 25.11  0.37  1.45%   
Oppenhmr Discovery's market value is the price at which a share of Oppenhmr Discovery trades on a public exchange. It measures the collective expectations of Oppenhmr Discovery Mid investors about its performance. Oppenhmr Discovery is trading at 25.11 as of the 8th of January 2025; that is 1.45% down since the beginning of the trading day. The fund's open price was 25.48.
With this module, you can estimate the performance of a buy and hold strategy of Oppenhmr Discovery Mid and determine expected loss or profit from investing in Oppenhmr Discovery over a given investment horizon. Check out Oppenhmr Discovery Correlation, Oppenhmr Discovery Volatility and Oppenhmr Discovery Alpha and Beta module to complement your research on Oppenhmr Discovery.
Symbol

Please note, there is a significant difference between Oppenhmr Discovery's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oppenhmr Discovery is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oppenhmr Discovery'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.

Oppenhmr Discovery '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 Oppenhmr Discovery'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 Oppenhmr Discovery.
0.00
11/09/2024
No Change 0.00  0.0 
In 2 months and 2 days
01/08/2025
0.00
If you would invest  0.00  in Oppenhmr Discovery on November 9, 2024 and sell it all today you would earn a total of 0.00 from holding Oppenhmr Discovery Mid or generate 0.0% return on investment in Oppenhmr Discovery over 60 days. Oppenhmr Discovery is related to or competes with Voya Government. The fund mainly invests in common stocks of U.S More

Oppenhmr Discovery 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 Oppenhmr Discovery'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 Oppenhmr Discovery Mid upside and downside potential and time the market with a certain degree of confidence.

Oppenhmr Discovery Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenhmr Discovery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenhmr Discovery's standard deviation. In reality, there are many statistical measures that can use Oppenhmr Discovery historical prices to predict the future Oppenhmr Discovery's volatility.
Hype
Prediction
LowEstimatedHigh
23.6925.1126.53
Details
Intrinsic
Valuation
LowRealHigh
24.0725.4926.91
Details

Oppenhmr Discovery Mid Backtested Returns

Oppenhmr Discovery Mid maintains Sharpe Ratio (i.e., Efficiency) of -0.0089, which implies the entity had a -0.0089% return per unit of risk over the last 3 months. Oppenhmr Discovery Mid exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oppenhmr Discovery's Coefficient Of Variation of 7437.68, semi deviation of 1.62, and Risk Adjusted Performance of 0.015 to confirm the risk estimate we provide. The fund holds a Beta of 0.5, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oppenhmr Discovery's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenhmr Discovery is expected to be smaller as well.

Auto-correlation

    
  -0.56  

Good reverse predictability

Oppenhmr Discovery Mid has good reverse predictability. Overlapping area represents the amount of predictability between Oppenhmr Discovery time series from 9th of November 2024 to 9th of December 2024 and 9th of December 2024 to 8th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Oppenhmr Discovery Mid price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current Oppenhmr Discovery price fluctuation can be explain by its past prices.
Correlation Coefficient-0.56
Spearman Rank Test-0.57
Residual Average0.0
Price Variance0.84

Oppenhmr Discovery Mid lagged returns against current returns

Autocorrelation, which is Oppenhmr Discovery 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 Oppenhmr Discovery's mutual fund expected returns. We can calculate the autocorrelation of Oppenhmr Discovery returns to help us make a trade decision. For example, suppose you find that Oppenhmr Discovery 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  

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

Oppenhmr Discovery Lagged Returns

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Oppenhmr Mutual Fund

Oppenhmr Discovery financial ratios help investors to determine whether Oppenhmr 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 Oppenhmr with respect to the benefits of owning Oppenhmr Discovery security.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
FinTech Suite
Use AI to screen and filter profitable investment opportunities