Pimco Rafi Dynamic Etf Market Value
| MFEM Etf | USD 18.98 0.09 0.48% |
| Symbol | PIMCO |
The market value of PIMCO RAFI Dynamic is measured differently than its book value, which is the value of PIMCO that is recorded on the company's balance sheet. Investors also form their own opinion of PIMCO RAFI's value that differs from its market value or its book value, called intrinsic value, which is PIMCO RAFI's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because PIMCO RAFI's market value can be influenced by many factors that don't directly affect PIMCO RAFI's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between PIMCO RAFI's value and its price as these two are different measures arrived at by different means. Investors typically determine if PIMCO RAFI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PIMCO RAFI's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
PIMCO RAFI '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 PIMCO RAFI's etf 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 PIMCO RAFI.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in PIMCO RAFI on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding PIMCO RAFI Dynamic or generate 0.0% return on investment in PIMCO RAFI over 30 days. PIMCO RAFI is related to or competes with PIMCO RAFI, PIMCO RAFI, JPMorgan Diversified, JPMorgan Diversified, and JPMorgan Diversified. The fund seeks to achieve its investment objective by investing at least 80 percent of its total assets in the component... More
PIMCO RAFI 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 PIMCO RAFI's etf 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 PIMCO RAFI Dynamic upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9457 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 4.14 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.28 |
PIMCO RAFI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PIMCO RAFI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PIMCO RAFI's standard deviation. In reality, there are many statistical measures that can use PIMCO RAFI historical prices to predict the future PIMCO RAFI's volatility.| Risk Adjusted Performance | 0.0261 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0223 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PIMCO RAFI'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.
PIMCO RAFI Dynamic Backtested Returns
We consider PIMCO RAFI very steady. PIMCO RAFI Dynamic maintains Sharpe Ratio (i.e., Efficiency) of 0.0808, which implies the entity had a 0.0808% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for PIMCO RAFI Dynamic, which you can use to evaluate the volatility of the etf. Please check PIMCO RAFI's semi deviation of 0.8476, and Risk Adjusted Performance of 0.0261 to confirm if the risk estimate we provide is consistent with the expected return of 0.061%. The etf holds a Beta of 0.93, which implies possible diversification benefits within a given portfolio. PIMCO RAFI returns are very sensitive to returns on the market. As the market goes up or down, PIMCO RAFI is expected to follow.
Auto-correlation | -0.39 |
Poor reverse predictability
PIMCO RAFI Dynamic has poor reverse predictability. Overlapping area represents the amount of predictability between PIMCO RAFI time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 PIMCO RAFI Dynamic price movement. The serial correlation of -0.39 indicates that just about 39.0% of current PIMCO RAFI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
PIMCO RAFI Dynamic lagged returns against current returns
Autocorrelation, which is PIMCO RAFI etf'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 PIMCO RAFI's etf expected returns. We can calculate the autocorrelation of PIMCO RAFI returns to help us make a trade decision. For example, suppose you find that PIMCO RAFI has exhibited high autocorrelation historically, and you observe that the etf 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 |
PIMCO RAFI 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 PIMCO RAFI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PIMCO RAFI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PIMCO RAFI etf over time.
Current vs Lagged Prices |
| Timeline |
PIMCO RAFI Lagged Returns
When evaluating PIMCO RAFI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PIMCO RAFI etf have on its future price. PIMCO RAFI 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, PIMCO RAFI autocorrelation shows the relationship between PIMCO RAFI etf current value and its past values and can show if there is a momentum factor associated with investing in PIMCO RAFI Dynamic.
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 PIMCO RAFI 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, PIMCO RAFI's short interest history, or implied volatility extrapolated from PIMCO RAFI options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out PIMCO RAFI Correlation, PIMCO RAFI Volatility and PIMCO RAFI Alpha and Beta module to complement your research on PIMCO RAFI. Note that the PIMCO RAFI Dynamic information on this page should be used as a complementary analysis to other PIMCO RAFI's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
PIMCO RAFI technical etf 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, etf market cycles, or different charting patterns.