Oberweis Emerging Markets Fund Market Value
| OIEMX Fund | USD 11.36 0.08 0.71% |
| Symbol | Oberweis |
Oberweis Emerging '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 Oberweis Emerging'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 Oberweis Emerging.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Oberweis Emerging on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Oberweis Emerging Markets or generate 0.0% return on investment in Oberweis Emerging over 30 days. Oberweis Emerging is related to or competes with Oberweis China, Oberweis Emerging, Oberweis Emerging, Oberweis International, Oberweis International, Oberweis Micro, and Oberweis Small. The fund invests, under normal circumstances, at least 80 percent of its net assets in securities of companies based in ... More
Oberweis Emerging 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 Oberweis Emerging'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 Oberweis Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 2.68 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.1 |
Oberweis Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oberweis Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oberweis Emerging's standard deviation. In reality, there are many statistical measures that can use Oberweis Emerging historical prices to predict the future Oberweis Emerging's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oberweis Emerging'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.
Oberweis Emerging Markets Backtested Returns
Oberweis Emerging Markets maintains Sharpe Ratio (i.e., Efficiency) of -0.0531, which implies the entity had a -0.0531% return per unit of risk over the last 3 months. Oberweis Emerging Markets exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oberweis Emerging's Variance of 0.3989, risk adjusted performance of (0.02), and Coefficient Of Variation of (3,075) to confirm the risk estimate we provide. The fund holds a Beta of 0.59, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oberweis Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oberweis Emerging is expected to be smaller as well.
Auto-correlation | -0.76 |
Almost perfect reverse predictability
Oberweis Emerging Markets has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Oberweis Emerging time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 Oberweis Emerging Markets price movement. The serial correlation of -0.76 indicates that around 76.0% of current Oberweis Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.76 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Oberweis Emerging Markets lagged returns against current returns
Autocorrelation, which is Oberweis Emerging 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 Oberweis Emerging's mutual fund expected returns. We can calculate the autocorrelation of Oberweis Emerging returns to help us make a trade decision. For example, suppose you find that Oberweis Emerging 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 |
Oberweis Emerging 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 Oberweis Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oberweis Emerging mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oberweis Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oberweis Emerging Lagged Returns
When evaluating Oberweis Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oberweis Emerging mutual fund have on its future price. Oberweis Emerging 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, Oberweis Emerging autocorrelation shows the relationship between Oberweis Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oberweis Emerging Markets.
Regressed Prices |
| Timeline |
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Oberweis Emerging technical mutual fund 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, fund market cycles, or different charting patterns.