Scout Small Cap Fund Market Value
UMBHX Fund | USD 28.64 0.13 0.46% |
Symbol | Scout |
Scout Small '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 Scout Small'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 Scout Small.
02/28/2024 |
| 03/29/2024 |
If you would invest 0.00 in Scout Small on February 28, 2024 and sell it all today you would earn a total of 0.00 from holding Scout Small Cap or generate 0.0% return on investment in Scout Small over 30 days. Scout Small is related to or competes with Vanguard Small-cap, Vanguard Small, Vanguard Explorer, Vanguard Explorer, Janus Triton, Janus Triton, and Janus Triton. The fund pursues its objective by investing, under normal circumstances, at least 80 percent of its net assets in equity... More
Scout Small 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 Scout Small'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 Scout Small Cap upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.12 | |||
Information Ratio | (0.04) | |||
Maximum Drawdown | 5.76 | |||
Value At Risk | (1.46) | |||
Potential Upside | 1.86 |
Scout Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scout Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scout Small's standard deviation. In reality, there are many statistical measures that can use Scout Small historical prices to predict the future Scout Small's volatility.Risk Adjusted Performance | 0.0493 | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (0.18) | |||
Sortino Ratio | (0.04) | |||
Treynor Ratio | 0.0476 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Scout Small'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.
Scout Small Cap Backtested Returns
We consider Scout Small very steady. Scout Small Cap owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the fund had a 0.11% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Scout Small Cap, which you can use to evaluate the volatility of the fund. Please validate Scout Small's Semi Deviation of 1.03, risk adjusted performance of 0.0493, and Coefficient Of Variation of 1262.43 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. The entity has a beta of 1.75, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Scout Small will likely underperform.
Auto-correlation | -0.06 |
Very weak reverse predictability
Scout Small Cap has very weak reverse predictability. Overlapping area represents the amount of predictability between Scout Small time series from 28th of February 2024 to 14th of March 2024 and 14th of March 2024 to 29th of March 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 Scout Small Cap price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Scout Small price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.06 | |
Spearman Rank Test | 0.02 | |
Residual Average | 0.0 | |
Price Variance | 0.13 |
Scout Small Cap lagged returns against current returns
Autocorrelation, which is Scout Small 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 Scout Small's mutual fund expected returns. We can calculate the autocorrelation of Scout Small returns to help us make a trade decision. For example, suppose you find that Scout Small 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 |
Scout Small 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 Scout Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scout Small mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scout Small mutual fund over time.
Current vs Lagged Prices |
Timeline |
Scout Small Lagged Returns
When evaluating Scout Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scout Small mutual fund have on its future price. Scout Small 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, Scout Small autocorrelation shows the relationship between Scout Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Scout Small Cap.
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.CLSK | CleanSpark | |
V | Visa Class A | |
CDLX | Cardlytics |
Check out Scout Small Correlation, Scout Small Volatility and Scout Small Alpha and Beta module to complement your research on Scout Small. Note that the Scout Small Cap information on this page should be used as a complementary analysis to other Scout Small'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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Complementary Tools for Scout Mutual Fund analysis
When running Scout Small's price analysis, check to measure Scout Small'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 Scout Small is operating at the current time. Most of Scout Small's value examination focuses on studying past and present price action to predict the probability of Scout Small's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scout Small's price. Additionally, you may evaluate how the addition of Scout Small to your portfolios can decrease your overall portfolio volatility.
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Scout Small 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.