Oppenheimer Gbl Alloc Fund Manager Performance Evaluation
QGRCX Fund | USD 17.18 0.19 1.09% |
The fund holds a Beta of 0.81, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oppenheimer Gbl's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Gbl is expected to be smaller as well.
Risk-Adjusted Performance
2 of 100
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Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Oppenheimer Gbl Alloc are ranked lower than 2 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong fundamental indicators, Oppenheimer Gbl is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.
...moreExpense Ratio Date | 28th of February 2023 | |
Expense Ratio | 2.0600 |
Oppenheimer |
Oppenheimer Gbl Relative Risk vs. Return Landscape
If you would invest 1,699 in Oppenheimer Gbl Alloc on February 2, 2024 and sell it today you would earn a total of 19.00 from holding Oppenheimer Gbl Alloc or generate 1.12% return on investment over 90 days. Oppenheimer Gbl Alloc is currently producing 0.0194% returns and takes up 0.5467% volatility of returns over 90 trading days. Put another way, 4% of traded mutual funds are less volatile than Oppenheimer, and 99% of all traded equity instruments are likely to generate higher returns over the next 90 trading days. Expected Return |
Risk |
Oppenheimer Gbl Current Valuation
Fairly Valued
Today
Please note that Oppenheimer Gbl's price fluctuation is very steady at this time. At this time, the fund appears to be fairly valued. Oppenheimer Gbl Alloc holds a recent Real Value of $17.2 per share. The prevailing price of the fund is $17.18. We determine the value of Oppenheimer Gbl Alloc from analyzing fund fundamentals and technical indicators as well as its Probability Of Bankruptcy. In general, we support acquiring undervalued mutual funds and dropping overvalued mutual funds since, at some point, mutual fund prices and their ongoing real values will merge together.
Our valuation method for Oppenheimer Gbl Alloc is useful when determining the fair value of the Oppenheimer mutual fund, which is usually determined by what a typical buyer is willing to pay for full or partial control of Oppenheimer Gbl. Since Oppenheimer Gbl is currently traded on the exchange, buyers and sellers on that exchange determine the market value of Oppenheimer Mutual Fund. However, Oppenheimer Gbl's intrinsic value may or may not be the same as its current market price, in which case there is an opportunity to profit from the mispricing, assuming the market price will eventually merge with its intrinsic value. Historical | Market 17.18 | Real 17.2 | Hype 17.18 |
The real value of Oppenheimer Mutual Fund, also known as its intrinsic value, is the underlying worth of Oppenheimer Gbl Alloc Mutual Fund, which is reflected in its stock price. It is based on Oppenheimer Gbl's financial performance, assets, liabilities, growth prospects, management team, or industry conditions. The intrinsic value of Oppenheimer Gbl's stock can be calculated using various methods such as discounted cash flow analysis, price-to-earnings ratio, or price-to-book ratio. That value may differ from its current market price, which is determined by supply and demand factors such as investor sentiment, market trends, news, and other external factors that may influence Oppenheimer Gbl's stock price. It is important to note that the real value of any stock may change over time based on changes in the company's performance.
Estimating the potential upside or downside of Oppenheimer Gbl Alloc helps investors to forecast how Oppenheimer mutual fund's addition to their portfolios will impact the overall performance. We also use other valuation drivers to help us estimate the true value of Oppenheimer Gbl more accurately as focusing exclusively on Oppenheimer Gbl's fundamentals will not take into account other important factors: Oppenheimer Gbl Market Risk Analysis
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Gbl's investment risk. Standard deviation is the most common way to measure market volatility of mutual funds, such as Oppenheimer Gbl Alloc, and traders can use it to determine the average amount a Oppenheimer Gbl's price has deviated from the expected return over a period of time. It is calculated by determining the expected price for the established period and then subtracting this figure from each price point. The differences are then squared, summed, and averaged to produce the variance.
Sharpe Ratio = 0.0355
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Negative Returns | QGRCX |
Estimated Market Risk
0.55 actual daily | 4 96% of assets are more volatile |
Expected Return
0.02 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
0.04 actual daily | 2 98% of assets perform better |
Based on monthly moving average Oppenheimer Gbl is performing at about 2% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Oppenheimer Gbl by adding it to a well-diversified portfolio.
Oppenheimer Gbl Fundamentals Growth
Oppenheimer Mutual Fund prices reflect investors' perceptions of the future prospects and financial health of Oppenheimer Gbl, and Oppenheimer Gbl fundamentals are critical determinants of its market performance. Overall, investors pay close attention to revenue and earnings growth, profit margins, and debt levels. These fundamentals can have a significant impact on Oppenheimer Mutual Fund performance.
Price To Earning | 19.22 X | |||
Price To Book | 2.30 X | |||
Price To Sales | 1.63 X | |||
Total Asset | 45.9 M | |||
About Oppenheimer Gbl Performance
To evaluate Oppenheimer Gbl Alloc Mutual Fund as a possible investment, you need to clearly understand its upside potential, downside risk, and overall future performance outlook. You may be satisfied when Oppenheimer Gbl generates a 15% return over the last few months, but what if the market is generating 25% over the same period? In this case, it makes sense to compare Oppenheimer Mutual Fund's performance with different market indexes, such as the Dow or NASDAQ Composite. These indexes can act as benchmarks that will help you to understand Oppenheimer Gbl Alloc market performance in a much more refined way. The Macroaxis performance score is an integer between 0 and 100 that represents Oppenheimer's market performance from a risk-adjusted return perspective. Generally speaking, the higher the score, the better is overall performance as compared to other investors. The score is normalized against the average investing universe (the best we can interpret from the data available). Within this methodology, scores of individual equity instruments will always be inferior to the scores of portfolios of equities as portfolios typically diversify a lot of unsystematic risks away. The formula to derive the Macroaxis score bases on multiple unequally-weighted factors. For more information, refer to our portfolio performance evaluation section.
Please also refer to our technical analysis and fundamental analysis pages.The fund allocates its assets among equity securities, fixed-income securities, and various other types of investments, including ETFs, from all over the world. Generally, there are no geographic restrictions on where the fund may invest and no restrictions on the amount of the funds assets that can be invested in either U.S. or foreign securities, including securities of issuers in developing and emerging markets. The fund may invest in debt securities of any kind and of varying duration and maturities. It may invest in below-investment-grade debt securities, including distressed securities.Things to note about Oppenheimer Gbl Alloc performance evaluation
Checking the ongoing alerts about Oppenheimer Gbl for important developments is a great way to find new opportunities for your next move. Mutual Fund alerts and notifications screener for Oppenheimer Gbl Alloc help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.The fund generated three year return of -1.0% | |
Oppenheimer Gbl Alloc maintains about 13.19% of its assets in cash |
- Analyzing Oppenheimer Gbl's financial statements, including its income statement, balance sheet, and cash flow statement, helps in understanding its overall financial health and growth potential.
- Getting a closer look at valuation ratios like price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and price-to-book (P/B) ratio help in understanding whether Oppenheimer Gbl's stock is overvalued or undervalued compared to its peers.
- Examining Oppenheimer Gbl's industry or sector and how it is performing can give you an idea of its growth potential and how it is positioned relative to its competitors.
- Evaluating Oppenheimer Gbl's management team can have a significant impact on its success or failure. Reviewing the track record and experience of Oppenheimer Gbl's management team can help you assess the Mutual Fund's leadership.
- Pay attention to analyst opinions and ratings of Oppenheimer Gbl's mutual fund. These opinions can provide insight into Oppenheimer Gbl's potential for growth and whether the stock is currently undervalued or overvalued.
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Oppenheimer Gbl Alloc. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Oppenheimer Gbl Alloc information on this page should be used as a complementary analysis to other Oppenheimer Gbl'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 the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.