Ishares New York Etf Market Value

NYF Etf  USD 53.25  0.04  0.08%   
IShares New's market value is the price at which a share of IShares New trades on a public exchange. It measures the collective expectations of iShares New York investors about its performance. IShares New is trading at 53.25 as of the 10th of March 2025. This is a 0.08 percent decrease since the beginning of the trading day. The etf's lowest day price was 53.16.
With this module, you can estimate the performance of a buy and hold strategy of iShares New York and determine expected loss or profit from investing in IShares New over a given investment horizon. Check out IShares New Correlation, IShares New Volatility and IShares New Alpha and Beta module to complement your research on IShares New.
Symbol

The market value of iShares New York is measured differently than its book value, which is the value of IShares that is recorded on the company's balance sheet. Investors also form their own opinion of IShares New's value that differs from its market value or its book value, called intrinsic value, which is IShares New's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because IShares New's market value can be influenced by many factors that don't directly affect IShares New's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between IShares New's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares New is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares New'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.

IShares New '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 IShares New's etf 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 IShares New.
0.00
02/08/2025
No Change 0.00  0.0 
In 31 days
03/10/2025
0.00
If you would invest  0.00  in IShares New on February 8, 2025 and sell it all today you would earn a total of 0.00 from holding iShares New York or generate 0.0% return on investment in IShares New over 30 days. IShares New is related to or competes with IShares California, IShares Intermediate, Invesco New, IShares Agency, and IShares Short. The fund will invest at least 80 percent of its assets in the component securities of the index, and it will invest at l... More

IShares New 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 IShares New's etf 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 iShares New York upside and downside potential and time the market with a certain degree of confidence.

IShares New Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares New's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares New's standard deviation. In reality, there are many statistical measures that can use IShares New historical prices to predict the future IShares New's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares New'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.
Hype
Prediction
LowEstimatedHigh
52.9853.2553.52
Details
Intrinsic
Valuation
LowRealHigh
52.9553.2253.49
Details

iShares New York Backtested Returns

iShares New York holds Efficiency (Sharpe) Ratio of -0.0559, which attests that the entity had a -0.0559 % return per unit of risk over the last 3 months. iShares New York exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IShares New's Market Risk Adjusted Performance of (0.28), risk adjusted performance of (0.06), and Standard Deviation of 0.2603 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0807, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares New's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares New is expected to be smaller as well.

Auto-correlation

    
  -0.81  

Excellent reverse predictability

iShares New York has excellent reverse predictability. Overlapping area represents the amount of predictability between IShares New time series from 8th of February 2025 to 23rd of February 2025 and 23rd of February 2025 to 10th 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 iShares New York price movement. The serial correlation of -0.81 indicates that around 81.0% of current IShares New price fluctuation can be explain by its past prices.
Correlation Coefficient-0.81
Spearman Rank Test-0.26
Residual Average0.0
Price Variance0.03
IShares ReturnsIShares Lagged ReturnsDiversified AwayIShares ReturnsIShares Lagged ReturnsDiversified Away100%

iShares New York lagged returns against current returns

Autocorrelation, which is IShares New etf'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 IShares New's etf expected returns. We can calculate the autocorrelation of IShares New returns to help us make a trade decision. For example, suppose you find that IShares New has exhibited high autocorrelation historically, and you observe that the etf 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   
JavaScript chart by amCharts 3.21.15Feb 24Feb 26Feb 28MarMar 04Mar 06Mar 08Mar 10-0.8%-0.6%-0.4%-0.2%0%0.2%0.4%0.6% 101001K
JavaScript chart by amCharts 3.21.15Volume Lagged Volume Prices Lagged Prices
       Timeline  

IShares New 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 IShares New etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares New etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares New etf over time.
   Current vs Lagged Prices   
JavaScript chart by amCharts 3.21.15Feb 24Feb 26Feb 28MarMar 04Mar 06Mar 08Mar 1053.253.353.453.553.653.7
JavaScript chart by amCharts 3.21.15Regression Prices Lagged Regression Prices
       Timeline  

IShares New Lagged Returns

When evaluating IShares New's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares New etf have on its future price. IShares New 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, IShares New autocorrelation shows the relationship between IShares New etf current value and its past values and can show if there is a momentum factor associated with investing in iShares New York.
   Regressed Prices   
JavaScript chart by amCharts 3.21.15Feb 10Feb 14Feb 18Feb 22Feb 26MarMar 06Mar 1053.053.153.253.353.453.553.653.7
JavaScript chart by amCharts 3.21.15Lagged Returns Returns
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Currently Active Assets on Macroaxis

When determining whether iShares New York is a strong investment it is important to analyze IShares New's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact IShares New's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:
Check out IShares New Correlation, IShares New Volatility and IShares New Alpha and Beta module to complement your research on IShares New.
You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
IShares New technical etf 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, etf market cycles, or different charting patterns.
A focus of IShares New technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of IShares New trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

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