Near Term Tax Free Fund Market Value
NEARX Fund | USD 2.10 0.00 0.00% |
Symbol | Near |
Near Term '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 Near Term'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 Near Term.
04/02/2023 |
| 11/22/2024 |
If you would invest 0.00 in Near Term on April 2, 2023 and sell it all today you would earn a total of 0.00 from holding Near Term Tax Free or generate 0.0% return on investment in Near Term over 600 days. Near Term is related to or competes with Vanguard Limited, Vanguard Limited, Vanguard Short, Goldman Sachs, Goldman Sachs, Diversified Municipal, and Diversified Municipal. Under normal market conditions, the fund invests at least 80 percent of its net assets in investment grade municipal sec... More
Near Term 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 Near Term'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 Near Term Tax Free upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.76) | |||
Maximum Drawdown | 0.9547 |
Near Term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Near Term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Near Term's standard deviation. In reality, there are many statistical measures that can use Near Term historical prices to predict the future Near Term's volatility.Risk Adjusted Performance | (0.04) | |||
Jensen Alpha | (0.01) | |||
Total Risk Alpha | (0.03) | |||
Treynor Ratio | (0.49) |
Near Term Tax Backtested Returns
At this stage we consider Near Mutual Fund to be very steady. Near Term Tax has Sharpe Ratio of 7.0E-4, which conveys that the entity had a 7.0E-4% return per unit of risk over the last 3 months. We have found sixteen technical indicators for Near Term, which you can use to evaluate the volatility of the fund. Please verify Near Term's Standard Deviation of 0.1448, risk adjusted performance of (0.04), and Mean Deviation of 0.0434 to check out if the risk estimate we provide is consistent with the expected return of 1.0E-4%. The fund secures a Beta (Market Risk) of 0.02, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Near Term's returns are expected to increase less than the market. However, during the bear market, the loss of holding Near Term is expected to be smaller as well.
Auto-correlation | 0.75 |
Good predictability
Near Term Tax Free has good predictability. Overlapping area represents the amount of predictability between Near Term time series from 2nd of April 2023 to 27th of January 2024 and 27th of January 2024 to 22nd of November 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 Near Term Tax price movement. The serial correlation of 0.75 indicates that around 75.0% of current Near Term price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.75 | |
Spearman Rank Test | 0.81 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Near Term Tax lagged returns against current returns
Autocorrelation, which is Near Term 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 Near Term's mutual fund expected returns. We can calculate the autocorrelation of Near Term returns to help us make a trade decision. For example, suppose you find that Near Term 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 |
Near Term 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 Near Term mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Near Term mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Near Term mutual fund over time.
Current vs Lagged Prices |
Timeline |
Near Term Lagged Returns
When evaluating Near Term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Near Term mutual fund have on its future price. Near Term 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, Near Term autocorrelation shows the relationship between Near Term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Near Term Tax Free.
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 Near Mutual Fund
Near Term financial ratios help investors to determine whether Near 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 Near with respect to the benefits of owning Near Term security.
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