New York Municipal Fund Market Value
| PNYIX Fund | USD 10.79 0.01 0.09% |
| Symbol | New |
New York '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 New York'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 New York.
| 12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in New York on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding New York Municipal or generate 0.0% return on investment in New York over 30 days. New York is related to or competes with Pimco High, Municipal Bond, Pimco Floating, Investment Grade, and Vanguard New. The fund normally invests at least 80 percent of its assets in debt securities whose interest is, in the opinion of bond... More
New York 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 New York'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 New York Municipal upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 1.48 | |||
| Value At Risk | (0.46) | |||
| Potential Upside | 0.3721 |
New York Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for New York's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as New York's standard deviation. In reality, there are many statistical measures that can use New York historical prices to predict the future New York's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.57) |
New York Municipal Backtested Returns
New York Municipal has Sharpe Ratio of -0.0399, which conveys that the entity had a -0.0399% return per unit of risk over the last 3 months. New York exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify New York's Mean Deviation of 0.1646, standard deviation of 0.2528, and Risk Adjusted Performance of (0.09) to check out the risk estimate we provide. The fund secures a Beta (Market Risk) of 0.0561, which conveys not very significant fluctuations relative to the market. As returns on the market increase, New York's returns are expected to increase less than the market. However, during the bear market, the loss of holding New York is expected to be smaller as well.
Auto-correlation | -0.88 |
Excellent reverse predictability
New York Municipal has excellent reverse predictability. Overlapping area represents the amount of predictability between New York time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 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 New York Municipal price movement. The serial correlation of -0.88 indicates that approximately 88.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.88 | |
| Spearman Rank Test | -0.98 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
New York Municipal lagged returns against current returns
Autocorrelation, which is New York 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 New York's mutual fund expected returns. We can calculate the autocorrelation of New York returns to help us make a trade decision. For example, suppose you find that New York 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 |
New York 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 New York mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if New York mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in New York mutual fund over time.
Current vs Lagged Prices |
| Timeline |
New York Lagged Returns
When evaluating New York's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of New York mutual fund have on its future price. New York 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, New York autocorrelation shows the relationship between New York mutual fund current value and its past values and can show if there is a momentum factor associated with investing in New York Municipal.
Regressed Prices |
| Timeline |
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Other Information on Investing in New Mutual Fund
New York financial ratios help investors to determine whether New 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 New with respect to the benefits of owning New York security.
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