Simt Small Cap Fund Market Value
| SMVIX Fund | USD 24.69 0.02 0.08% |
| Symbol | Simt |
Simt 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 Simt 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 Simt Small.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Simt Small on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding Simt Small Cap or generate 0.0% return on investment in Simt Small over 720 days. Simt Small is related to or competes with Artisan Small, Qs Growth, Qs Growth, Mid Cap, Morningstar Growth, Pnc International, and Growth Income. Under normal circumstances, the fund will invest at least 80 percent of its net assets in equity securities of small com... More
Simt 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 Simt 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 Simt Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.22 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 5.19 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.69 |
Simt Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simt Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simt Small's standard deviation. In reality, there are many statistical measures that can use Simt Small historical prices to predict the future Simt Small's volatility.| Risk Adjusted Performance | 0.0443 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.04 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Simt 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.
Simt Small Cap Backtested Returns
We consider Simt Small very steady. Simt Small Cap owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0407, which indicates the fund had a 0.0407% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Simt Small Cap, which you can use to evaluate the volatility of the fund. Please validate Simt Small's Semi Deviation of 1.11, coefficient of variation of 1553.36, and Risk Adjusted Performance of 0.0443 to confirm if the risk estimate we provide is consistent with the expected return of 0.0433%. The entity has a beta of 1.45, 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, Simt Small will likely underperform.
Auto-correlation | 0.12 |
Insignificant predictability
Simt Small Cap has insignificant predictability. Overlapping area represents the amount of predictability between Simt Small time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th 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 Simt Small Cap price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Simt Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 2.45 |
Simt Small Cap lagged returns against current returns
Autocorrelation, which is Simt 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 Simt Small's mutual fund expected returns. We can calculate the autocorrelation of Simt Small returns to help us make a trade decision. For example, suppose you find that Simt 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 |
Simt 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 Simt Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Simt 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 Simt Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Simt Small Lagged Returns
When evaluating Simt Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Simt Small mutual fund have on its future price. Simt 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, Simt Small autocorrelation shows the relationship between Simt Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Simt Small Cap.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Simt Small in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Simt Small's short interest history, or implied volatility extrapolated from Simt Small options trading.
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Check out Simt Small Correlation, Simt Small Volatility and Simt Small Alpha and Beta module to complement your research on Simt Small. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Simt 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.