Strategic Asset Management Fund Market Value
PFIPX Fund | USD 11.78 0.05 0.43% |
Symbol | Strategic |
Strategic 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 Strategic 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 Strategic Asset.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Strategic Asset on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding Strategic Asset Management or generate 0.0% return on investment in Strategic Asset over 720 days. Strategic Asset is related to or competes with Qs Us, Barloworld, Morningstar Unconstrained, Via Renewables, T Rowe, Bondbloxx ETF, and Jpmorgan Equity. The Portfolios operate as funds of funds and invest principally in funds and exchange-traded funds of Principal Funds, I... More
Strategic 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 Strategic 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 Strategic Asset Management upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.3436 | |||
Information Ratio | (0.30) | |||
Maximum Drawdown | 1.73 | |||
Value At Risk | (0.51) | |||
Potential Upside | 0.5217 |
Strategic Asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Strategic Asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Strategic Asset's standard deviation. In reality, there are many statistical measures that can use Strategic Asset historical prices to predict the future Strategic Asset's volatility.Risk Adjusted Performance | 0.0613 | |||
Jensen Alpha | 0.0313 | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.28) | |||
Treynor Ratio | (2.21) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Strategic 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.
Strategic Asset Mana Backtested Returns
We consider Strategic Asset very steady. Strategic Asset Mana owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the fund had a 0.13% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Strategic Asset Management, which you can use to evaluate the volatility of the fund. Please validate Strategic Asset's Semi Deviation of 0.2411, coefficient of variation of 809.83, and Risk Adjusted Performance of 0.0613 to confirm if the risk estimate we provide is consistent with the expected return of 0.0428%. The entity has a beta of -0.0134, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Strategic Asset are expected to decrease at a much lower rate. During the bear market, Strategic Asset is likely to outperform the market.
Auto-correlation | 0.29 |
Poor predictability
Strategic Asset Management has poor predictability. Overlapping area represents the amount of predictability between Strategic Asset time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th of March 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 Strategic Asset Mana price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Strategic Asset price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.29 | |
Spearman Rank Test | -0.4 | |
Residual Average | 0.0 | |
Price Variance | 0.11 |
Strategic Asset Mana lagged returns against current returns
Autocorrelation, which is Strategic 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 Strategic Asset's mutual fund expected returns. We can calculate the autocorrelation of Strategic Asset returns to help us make a trade decision. For example, suppose you find that Strategic 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 |
Strategic 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 Strategic Asset mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Strategic 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 Strategic Asset mutual fund over time.
Current vs Lagged Prices |
Timeline |
Strategic Asset Lagged Returns
When evaluating Strategic Asset's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Strategic Asset mutual fund have on its future price. Strategic 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, Strategic Asset autocorrelation shows the relationship between Strategic Asset mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Strategic Asset Management.
Regressed Prices |
Timeline |
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Strategic Asset Mana using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
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Check out Strategic Asset Correlation, Strategic Asset Volatility and Strategic Asset Alpha and Beta module to complement your research on Strategic Asset. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Complementary Tools for Strategic Mutual Fund analysis
When running Strategic Asset's price analysis, check to measure Strategic Asset's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Strategic Asset is operating at the current time. Most of Strategic Asset's value examination focuses on studying past and present price action to predict the probability of Strategic Asset's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Strategic Asset's price. Additionally, you may evaluate how the addition of Strategic Asset to your portfolios can decrease your overall portfolio volatility.
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Strategic 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.