Smi Dynamic Allocation Fund Market Value
| SMIDX Fund | USD 13.20 0.01 0.08% |
| Symbol | Smi |
Smi Dynamic '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 Smi Dynamic'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 Smi Dynamic.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Smi Dynamic on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Smi Dynamic Allocation or generate 0.0% return on investment in Smi Dynamic over 30 days. Smi Dynamic is related to or competes with Eagle Mlp, Shelton Emerging, Ashmore Emerging, Goldman Sachs, Ep Emerging, Barings Emerging, and Franklin Emerging. The fund indirectly will bear its proportionate share of all management fees and other expenses of the underlying funds ... More
Smi Dynamic 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 Smi Dynamic'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 Smi Dynamic Allocation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5757 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 2.64 | |||
| Value At Risk | (0.77) | |||
| Potential Upside | 0.9353 |
Smi Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Smi Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smi Dynamic's standard deviation. In reality, there are many statistical measures that can use Smi Dynamic historical prices to predict the future Smi Dynamic's volatility.| Risk Adjusted Performance | 0.0893 | |||
| Jensen Alpha | 5.0E-4 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.1166 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Smi Dynamic'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.
Smi Dynamic Allocation Backtested Returns
At this stage we consider Smi Mutual Fund to be very steady. Smi Dynamic Allocation owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the fund had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Smi Dynamic Allocation, which you can use to evaluate the volatility of the fund. Please validate Smi Dynamic's Coefficient Of Variation of 807.17, risk adjusted performance of 0.0893, and Semi Deviation of 0.3768 to confirm if the risk estimate we provide is consistent with the expected return of 0.0851%. The entity has a beta of 0.44, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Smi Dynamic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Smi Dynamic is expected to be smaller as well.
Auto-correlation | 0.91 |
Excellent predictability
Smi Dynamic Allocation has excellent predictability. Overlapping area represents the amount of predictability between Smi Dynamic time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 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 Smi Dynamic Allocation price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current Smi Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.91 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Smi Dynamic Allocation lagged returns against current returns
Autocorrelation, which is Smi Dynamic 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 Smi Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Smi Dynamic returns to help us make a trade decision. For example, suppose you find that Smi Dynamic 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 |
Smi Dynamic 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 Smi Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Smi Dynamic mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Smi Dynamic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Smi Dynamic Lagged Returns
When evaluating Smi Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Smi Dynamic mutual fund have on its future price. Smi Dynamic 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, Smi Dynamic autocorrelation shows the relationship between Smi Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Smi Dynamic Allocation.
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 Smi Mutual Fund
Smi Dynamic financial ratios help investors to determine whether Smi 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 Smi with respect to the benefits of owning Smi Dynamic security.
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