Short Precious Metals Fund Market Value
| SPPSX Fund | USD 9.21 0.04 0.43% |
| Symbol | Short |
Short Precious '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 Precious' 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 Precious.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Short Precious on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Short Precious Metals or generate 0.0% return on investment in Short Precious over 30 days. Short Precious is related to or competes with Short Real, Short Real, Ultrashort Mid-cap, Ultrashort Mid, Technology Ultrasector, Technology Ultrasector, and Large-cap Growth. The fund invests in financial instruments that the fund Advisors believes, in combination, should produce daily returns ... More
Short Precious 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 Precious' 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 Precious Metals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.85 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 10.46 | |||
| Value At Risk | (2.29) | |||
| Potential Upside | 3.15 |
Short Precious Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short Precious' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short Precious' standard deviation. In reality, there are many statistical measures that can use Short Precious historical prices to predict the future Short Precious' volatility.| Risk Adjusted Performance | 0.0224 | |||
| Jensen Alpha | 0.0459 | |||
| Total Risk Alpha | (0.26) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.23) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Short Precious' 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 Precious Metals Backtested Returns
At this stage we consider Short Mutual Fund to be not too volatile. Short Precious Metals owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0102, which indicates the fund had a 0.0102% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Short Precious Metals, which you can use to evaluate the volatility of the fund. Please validate Short Precious' Semi Deviation of 1.72, coefficient of variation of 4631.33, and Risk Adjusted Performance of 0.0224 to confirm if the risk estimate we provide is consistent with the expected return of 0.0193%. The entity has a beta of -0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Short Precious are expected to decrease at a much lower rate. During the bear market, Short Precious is likely to outperform the market.
Auto-correlation | -0.68 |
Very good reverse predictability
Short Precious Metals has very good reverse predictability. Overlapping area represents the amount of predictability between Short Precious time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Short Precious Metals price movement. The serial correlation of -0.68 indicates that around 68.0% of current Short Precious price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Short Precious Metals lagged returns against current returns
Autocorrelation, which is Short Precious 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 Precious' mutual fund expected returns. We can calculate the autocorrelation of Short Precious returns to help us make a trade decision. For example, suppose you find that Short Precious 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 Precious 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 Precious mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Short Precious 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 Precious mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Short Precious Lagged Returns
When evaluating Short Precious' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Short Precious mutual fund have on its future price. Short Precious 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 Precious autocorrelation shows the relationship between Short Precious mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Short Precious Metals.
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 Precious 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 Precious security.
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