New Hampshire Higher Fund Market Value
| FQIIX Fund | USD 19.47 0.17 0.88% |
| Symbol | New |
Please note, there is a significant difference between New Hampshire's value and its price as these two are different measures arrived at by different means. Investors typically determine if New Hampshire is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New Hampshire's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
New Hampshire '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 Hampshire'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 Hampshire.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in New Hampshire on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding New Hampshire Higher or generate 0.0% return on investment in New Hampshire over 30 days. New Hampshire is related to or competes with Vanguard Total, Vanguard 500, Vanguard Total, Vanguard Total, Vanguard Total, Vanguard Total, and Vanguard 500. New Hampshire is entity of United States More
New Hampshire 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 Hampshire'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 Hampshire Higher upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4957 | |||
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 2.14 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 0.8808 |
New Hampshire Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for New Hampshire's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as New Hampshire's standard deviation. In reality, there are many statistical measures that can use New Hampshire historical prices to predict the future New Hampshire's volatility.| Risk Adjusted Performance | 0.0518 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.045 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New Hampshire'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.
New Hampshire Higher Backtested Returns
We consider New Hampshire very steady. New Hampshire Higher has Sharpe Ratio of 0.0636, which conveys that the entity had a 0.0636% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for New Hampshire, which you can use to evaluate the volatility of the fund. Please verify New Hampshire's Mean Deviation of 0.3727, downside deviation of 0.4957, and Risk Adjusted Performance of 0.0518 to check out if the risk estimate we provide is consistent with the expected return of 0.0313%. The fund secures a Beta (Market Risk) of 0.72, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, New Hampshire's returns are expected to increase less than the market. However, during the bear market, the loss of holding New Hampshire is expected to be smaller as well.
Auto-correlation | 0.51 |
Modest predictability
New Hampshire Higher has modest predictability. Overlapping area represents the amount of predictability between New Hampshire time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 New Hampshire Higher price movement. The serial correlation of 0.51 indicates that about 51.0% of current New Hampshire price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
New Hampshire Higher lagged returns against current returns
Autocorrelation, which is New Hampshire 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 Hampshire's mutual fund expected returns. We can calculate the autocorrelation of New Hampshire returns to help us make a trade decision. For example, suppose you find that New Hampshire 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 Hampshire 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 Hampshire mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if New Hampshire 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 Hampshire mutual fund over time.
Current vs Lagged Prices |
| Timeline |
New Hampshire Lagged Returns
When evaluating New Hampshire's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of New Hampshire mutual fund have on its future price. New Hampshire 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 Hampshire autocorrelation shows the relationship between New Hampshire mutual fund current value and its past values and can show if there is a momentum factor associated with investing in New Hampshire Higher.
Regressed Prices |
| Timeline |
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New Hampshire 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.