Small Cap Growth Profund Fund Market Value
SGPIX Fund | USD 109.81 0.09 0.08% |
Symbol | Small-cap |
Small-cap Growth '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 Small-cap Growth'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 Small-cap Growth.
02/11/2023 |
| 01/01/2025 |
If you would invest 0.00 in Small-cap Growth on February 11, 2023 and sell it all today you would earn a total of 0.00 from holding Small Cap Growth Profund or generate 0.0% return on investment in Small-cap Growth over 690 days. Small-cap Growth is related to or competes with Short Real, Short Real, Ultrashort Mid, Ultrashort Mid, Technology Ultrasector, Technology Ultrasector, and Large Cap. The fund invests in financial instruments that the fund Advisors believes, in combination, should track the performance ... More
Small-cap Growth 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 Small-cap Growth'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 Small Cap Growth Profund upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.05) | |||
Maximum Drawdown | 9.85 | |||
Value At Risk | (1.63) | |||
Potential Upside | 1.69 |
Small-cap Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Small-cap Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Small-cap Growth's standard deviation. In reality, there are many statistical measures that can use Small-cap Growth historical prices to predict the future Small-cap Growth's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.07) | |||
Treynor Ratio | (0.19) |
Small Cap Growth Backtested Returns
Small Cap Growth owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0237, which indicates the fund had a -0.0237% return per unit of risk over the last 3 months. Small Cap Growth Profund exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Small-cap Growth's Variance of 1.72, coefficient of variation of (2,271), and Risk Adjusted Performance of (0.03) to confirm the risk estimate we provide. The entity has a beta of 0.36, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Small-cap Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding Small-cap Growth is expected to be smaller as well.
Auto-correlation | 0.36 |
Below average predictability
Small Cap Growth Profund has below average predictability. Overlapping area represents the amount of predictability between Small-cap Growth time series from 11th of February 2023 to 22nd of January 2024 and 22nd of January 2024 to 1st of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Small Cap Growth price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Small-cap Growth price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.36 | |
Spearman Rank Test | 0.26 | |
Residual Average | 0.0 | |
Price Variance | 32.71 |
Small Cap Growth lagged returns against current returns
Autocorrelation, which is Small-cap Growth 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 Small-cap Growth's mutual fund expected returns. We can calculate the autocorrelation of Small-cap Growth returns to help us make a trade decision. For example, suppose you find that Small-cap Growth 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 |
Small-cap Growth 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 Small-cap Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Small-cap Growth mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Small-cap Growth mutual fund over time.
Current vs Lagged Prices |
Timeline |
Small-cap Growth Lagged Returns
When evaluating Small-cap Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Small-cap Growth mutual fund have on its future price. Small-cap Growth 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, Small-cap Growth autocorrelation shows the relationship between Small-cap Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Small Cap Growth Profund.
Regressed Prices |
Timeline |
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Other Information on Investing in Small-cap Mutual Fund
Small-cap Growth financial ratios help investors to determine whether Small-cap 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 Small-cap with respect to the benefits of owning Small-cap Growth security.
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Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
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