Strategic Asset Management Fund Market Value
| PCWPX Fund | USD 17.52 0.06 0.34% |
| 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.
| 06/28/2023 |
| 04/23/2024 |
If you would invest 0.00 in Strategic Asset on June 28, 2023 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 300 days. Strategic Asset is related to or competes with Strategic Asset, Strategic Asset, Strategic Asset, International Equity, International Small, Strategic Asset, and Strategic Asset. The fund operates as funds of funds and invest principally in funds and exchange-traded funds of Principal Funds, Inc 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 | 0.6457 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.52 | |||
| Value At Risk | (1.15) | |||
| Potential Upside | 0.8621 |
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 | 0.0596 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.053 |
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 0.0521, which indicates the fund had a 0.0521% 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 Risk Adjusted Performance of 0.0596, semi deviation of 0.537, and Coefficient Of Variation of 1018.78 to confirm if the risk estimate we provide is consistent with the expected return of 0.0305%. The entity has a beta of 0.89, which indicates possible diversification benefits within a given portfolio. Strategic Asset returns are very sensitive to returns on the market. As the market goes up or down, Strategic Asset is expected to follow.
Auto-correlation | -0.68 |
Very good reverse predictability
Strategic Asset Management has very good reverse predictability. Overlapping area represents the amount of predictability between Strategic Asset time series from 28th of June 2023 to 25th of November 2023 and 25th of November 2023 to 23rd 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 Strategic Asset Mana price movement. The serial correlation of -0.68 indicates that around 68.0% of current Strategic Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.35 |
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 |
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 Strategic 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, Strategic Asset's short interest history, or implied volatility extrapolated from Strategic Asset options trading.
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
Align your risk with return expectations
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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.