Sierra E Retirement Fund Market Value
| SIRRX Fund | USD 21.68 0.01 0.05% |
| Symbol | Sierra |
Sierra E '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 Sierra E'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 Sierra E.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Sierra E on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Sierra E Retirement or generate 0.0% return on investment in Sierra E over 30 days. Sierra E is related to or competes with Sierra Strategic, Sierra Strategic, Sierra Tactical, Sierra Tactical, Sierra Tactical, Sierra Tactical, and Sierra Tactical. The fund is a fund of funds. The Adviser seeks to achieve the funds investment objectives by investing in open-end inves... More
Sierra E 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 Sierra E'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 Sierra E Retirement upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3628 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 1.74 | |||
| Value At Risk | (0.47) | |||
| Potential Upside | 0.5104 |
Sierra E Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sierra E's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sierra E's standard deviation. In reality, there are many statistical measures that can use Sierra E historical prices to predict the future Sierra E's volatility.| Risk Adjusted Performance | 0.0301 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.0245 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sierra E'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.
Sierra E Retirement Backtested Returns
We consider Sierra E very steady. Sierra E Retirement owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0436, which indicates the fund had a 0.0436% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Sierra E Retirement, which you can use to evaluate the volatility of the fund. Please validate Sierra E's Coefficient Of Variation of 1604.83, semi deviation of 0.2958, and Risk Adjusted Performance of 0.0301 to confirm if the risk estimate we provide is consistent with the expected return of 0.0145%. The entity has a beta of 0.45, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sierra E's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sierra E is expected to be smaller as well.
Auto-correlation | 0.57 |
Modest predictability
Sierra E Retirement has modest predictability. Overlapping area represents the amount of predictability between Sierra E time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Sierra E Retirement price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Sierra E price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Sierra E Retirement lagged returns against current returns
Autocorrelation, which is Sierra E 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 Sierra E's mutual fund expected returns. We can calculate the autocorrelation of Sierra E returns to help us make a trade decision. For example, suppose you find that Sierra E 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 |
Sierra E 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 Sierra E mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sierra E mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sierra E mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Sierra E Lagged Returns
When evaluating Sierra E's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sierra E mutual fund have on its future price. Sierra E 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, Sierra E autocorrelation shows the relationship between Sierra E mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Sierra E Retirement.
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 Sierra E 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, Sierra E's short interest history, or implied volatility extrapolated from Sierra E options trading.
Currently Active Assets on Macroaxis
Check out Sierra E Correlation, Sierra E Volatility and Sierra E Alpha and Beta module to complement your research on Sierra E. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Sierra E 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.