Short Small Cap Profund Fund Market Value
| SHPSX Fund | USD 54.37 1.01 1.82% |
| Symbol | Short |
Short Small-cap '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 Short Small-cap'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 Short Small-cap.
| 02/10/2025 |
| 05/11/2025 |
If you would invest 0.00 in Short Small-cap on February 10, 2025 and sell it all today you would earn a total of 0.00 from holding Short Small Cap Profund or generate 0.0% return on investment in Short Small-cap over 90 days. Short Small-cap is related to or competes with Short Real, Short Real, Ultrashort Mid-cap, Ultrashort Mid-cap, Technology Ultrasector, Large Cap, and Profunds Large. The fund invests in financial instruments that ProFund Advisors believes, in combination, should produce daily returns c... More
Short Small-cap 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 Short Small-cap'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 Short Small Cap Profund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.11 | |||
| Information Ratio | 0.1549 | |||
| Maximum Drawdown | 15.23 | |||
| Value At Risk | (2.51) | |||
| Potential Upside | 2.93 |
Short Small-cap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short Small-cap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short Small-cap's standard deviation. In reality, there are many statistical measures that can use Short Small-cap historical prices to predict the future Short Small-cap's volatility.| Risk Adjusted Performance | 0.165 | |||
| Jensen Alpha | 0.0508 | |||
| Total Risk Alpha | 0.3426 | |||
| Sortino Ratio | 0.1487 | |||
| Treynor Ratio | (0.17) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Short Small-cap'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.
Short Small Cap Backtested Returns
At this stage we consider Short Mutual Fund to be very steady. Short Small Cap owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0908, which indicates the fund had a 0.0908 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Short Small Cap Profund, which you can use to evaluate the volatility of the fund. Please validate Short Small-cap's Coefficient Of Variation of 1013.43, semi deviation of 1.92, and Risk Adjusted Performance of 0.165 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. The entity has a beta of -1.12, which indicates a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Short Small-cap are expected to decrease slowly. On the other hand, during market turmoil, Short Small-cap is expected to outperform it slightly.
Auto-correlation | -0.23 |
Weak reverse predictability
Short Small Cap Profund has weak reverse predictability. Overlapping area represents the amount of predictability between Short Small-cap time series from 10th of February 2025 to 27th of March 2025 and 27th of March 2025 to 11th of May 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 Short Small Cap price movement. The serial correlation of -0.23 indicates that over 23.0% of current Short Small-cap price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 5.34 |
Short Small Cap lagged returns against current returns
Autocorrelation, which is Short Small-cap 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 Short Small-cap's mutual fund expected returns. We can calculate the autocorrelation of Short Small-cap returns to help us make a trade decision. For example, suppose you find that Short Small-cap 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 |
Short Small-cap 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 Short Small-cap mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Short Small-cap mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Short Small-cap mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Short Small-cap Lagged Returns
When evaluating Short Small-cap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Short Small-cap mutual fund have on its future price. Short Small-cap 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, Short Small-cap autocorrelation shows the relationship between Short Small-cap mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Short Small Cap Profund.
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 Short Mutual Fund
Short Small-cap financial ratios help investors to determine whether Short 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 Short with respect to the benefits of owning Short Small-cap security.
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