All Asset Fund Market Value
| PAAIX Fund | USD 10.90 0.04 0.37% |
| Symbol | All |
All Asset '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 All Asset'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 All Asset.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in All Asset on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding All Asset Fund or generate 0.0% return on investment in All Asset over 30 days. All Asset is related to or competes with Pimco Rae, Pimco Rae, Pimco Rae, Pimco Rae, Pimco Foreign, Pimco Preferred, and Pimco Fundamental. The fund is a fund of funds, which is a term used to describe mutual funds that pursue their investment objective by inv... More
All Asset 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 All Asset'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 All Asset Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5515 | |||
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 2.25 | |||
| Value At Risk | (0.64) | |||
| Potential Upside | 0.5445 |
All Asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for All Asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as All Asset's standard deviation. In reality, there are many statistical measures that can use All Asset historical prices to predict the future All Asset's volatility.| Risk Adjusted Performance | 0.0244 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.0212 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of All Asset'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.
All Asset Fund Backtested Returns
We consider All Asset very steady. All Asset Fund secures Sharpe Ratio (or Efficiency) of 0.0326, which signifies that the fund had a 0.0326% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for All Asset Fund, which you can use to evaluate the volatility of the entity. Please confirm All Asset's Downside Deviation of 0.5515, mean deviation of 0.2654, and Risk Adjusted Performance of 0.0244 to double-check if the risk estimate we provide is consistent with the expected return of 0.0126%. The fund shows a Beta (market volatility) of 0.42, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, All Asset's returns are expected to increase less than the market. However, during the bear market, the loss of holding All Asset is expected to be smaller as well.
Auto-correlation | -0.06 |
Very weak reverse predictability
All Asset Fund has very weak reverse predictability. Overlapping area represents the amount of predictability between All Asset time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 All Asset Fund price movement. The serial correlation of -0.06 indicates that barely 6.0% of current All Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
All Asset Fund lagged returns against current returns
Autocorrelation, which is All Asset 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 All Asset's mutual fund expected returns. We can calculate the autocorrelation of All Asset returns to help us make a trade decision. For example, suppose you find that All Asset 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 |
All Asset 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 All Asset mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if All Asset mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in All Asset mutual fund over time.
Current vs Lagged Prices |
| Timeline |
All Asset Lagged Returns
When evaluating All Asset's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of All Asset mutual fund have on its future price. All Asset 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, All Asset autocorrelation shows the relationship between All Asset mutual fund current value and its past values and can show if there is a momentum factor associated with investing in All Asset Fund.
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 All Asset 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, All Asset's short interest history, or implied volatility extrapolated from All Asset options trading.
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Check out All Asset Correlation, All Asset Volatility and All Asset Alpha and Beta module to complement your research on All Asset. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
All Asset 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.