Pmc Core Fixed Fund Market Value
PMFQX Fund | USD 14.54 0.01 0.07% |
Symbol | Pmc |
Pmc Core '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 Pmc Core'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 Pmc Core.
03/25/2023 |
| 03/19/2024 |
If you would invest 0.00 in Pmc Core on March 25, 2023 and sell it all today you would earn a total of 0.00 from holding Pmc Core Fixed or generate 0.0% return on investment in Pmc Core over 360 days. Pmc Core is related to or competes with USCF Gold, Pmc Diversified, Pmc Diversified, Janus Global, Aberdeen Income, Aim Treasurers, and Tekla World. The fund will invest at least 80 percent of its net assets in fixed income securities that are rated investment grade or... More
Pmc Core 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 Pmc Core'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 Pmc Core Fixed upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7832 | |||
Information Ratio | (0.14) | |||
Maximum Drawdown | 8.97 | |||
Value At Risk | (0.75) | |||
Potential Upside | 0.4811 |
Pmc Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pmc Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pmc Core's standard deviation. In reality, there are many statistical measures that can use Pmc Core historical prices to predict the future Pmc Core's volatility.Risk Adjusted Performance | 0.0207 | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.17) | |||
Sortino Ratio | (0.15) | |||
Treynor Ratio | 0.023 |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Pmc Core'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. Please use the tools below to analyze the current value of Pmc Core in the context of predictive analytics.
Pmc Core Fixed Backtested Returns
Pmc Core Fixed maintains Sharpe Ratio (i.e., Efficiency) of -0.0434, which implies the entity had -0.0434% return per unit of risk over the last 3 months. Our standpoint towards forecasting the risk of any fund is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Pmc Core Fixed exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its stock price that cannot be diversified away. Please check Pmc Core's Semi Deviation of 0.7074, risk adjusted performance of 0.0207, and Coefficient Of Variation of 3507.21 to confirm the risk estimate we provide. The fund holds a Beta of 0.64, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pmc Core returns are expected to increase less than the market. However, during the bear market, the loss on holding Pmc Core will be expected to be smaller as well. Pmc Core Fixed exposes twenty-eight different technical indicators, which can help you to evaluate its performance.
Auto-correlation | -0.62 |
Very good reverse predictability
Pmc Core Fixed has very good reverse predictability. Overlapping area represents the amount of predictability between Pmc Core time series from 25th of March 2023 to 21st of September 2023 and 21st of September 2023 to 19th 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 Pmc Core Fixed price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Pmc Core price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.62 | |
Spearman Rank Test | -0.67 | |
Residual Average | 0.0 | |
Price Variance | 0.19 |
Pmc Core Fixed lagged returns against current returns
Autocorrelation, which is Pmc Core 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 Pmc Core's mutual fund expected returns. We can calculate the autocorrelation of Pmc Core returns to help us make a trade decision. For example, suppose you find that Pmc Core mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Pmc Core 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 Pmc Core mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pmc Core mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pmc Core mutual fund over time.
Current vs Lagged Prices |
Timeline |
Pmc Core Lagged Returns
When evaluating Pmc Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pmc Core mutual fund have on its future price. Pmc Core 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, Pmc Core autocorrelation shows the relationship between Pmc Core mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pmc Core Fixed.
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 Pmc Core Fixed 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 Pmc Core Correlation, Pmc Core Volatility and Pmc Core Alpha and Beta module to complement your research on Pmc Core. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Pmc Mutual Fund analysis
When running Pmc Core's price analysis, check to measure Pmc Core'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 Pmc Core is operating at the current time. Most of Pmc Core's value examination focuses on studying past and present price action to predict the probability of Pmc Core's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pmc Core's price. Additionally, you may evaluate how the addition of Pmc Core to your portfolios can decrease your overall portfolio volatility.
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Pmc Core 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.