Pia High Yield Fund Market Value
| PIAMX Fund | USD 8.51 0.02 0.24% |
| Symbol | Pia |
Pia High '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 Pia High'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 Pia High.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Pia High on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Pia High Yield or generate 0.0% return on investment in Pia High over 90 days. Pia High is related to or competes with Pia High, Pia Short-term, Pia Mbs, and Pia Bbb. The fund invests, under normal circumstances, at least 80 percent of its net assets in a diversified portfolio of domestic and foreign high yield instruments , defined as bonds, convertible securities, forward commitments, loan participations and assignments, preferred stocks and Rule 144A securities. More
Pia High 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 Pia High'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 Pia High Yield upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.4325 | |||
| Maximum Drawdown | 1.05 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.2334 |
Pia High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pia High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pia High's standard deviation. In reality, there are many statistical measures that can use Pia High historical prices to predict the future Pia High's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | 6.0E-4 | |||
| Treynor Ratio | (0.28) |
Pia High Yield Backtested Returns
Pia High Yield maintains Sharpe Ratio (i.e., Efficiency) of -0.0654, which implies the entity had a -0.0654 % return per unit of risk over the last 3 months. Pia High Yield exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pia High's Variance of 0.0387, risk adjusted performance of (0.1), and Coefficient Of Variation of (1,406) to confirm the risk estimate we provide. The fund holds a Beta of 0.0859, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pia High's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pia High is expected to be smaller as well.
Auto-correlation | -0.66 |
Very good reverse predictability
Pia High Yield has very good reverse predictability. Overlapping area represents the amount of predictability between Pia High time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Pia High Yield price movement. The serial correlation of -0.66 indicates that around 66.0% of current Pia High price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Pia High Yield lagged returns against current returns
Autocorrelation, which is Pia High 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 Pia High's mutual fund expected returns. We can calculate the autocorrelation of Pia High returns to help us make a trade decision. For example, suppose you find that Pia High 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 |
Pia High 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 Pia High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pia High mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pia High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Pia High Lagged Returns
When evaluating Pia High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pia High mutual fund have on its future price. Pia High 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, Pia High autocorrelation shows the relationship between Pia High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pia High Yield.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Pia Mutual Fund
Pia High financial ratios help investors to determine whether Pia Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Pia with respect to the benefits of owning Pia High security.
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |