New York City Etf Market Value
| NYC Etf | USD 10.00 0.34 3.29% |
| Symbol | New |
The market value of New York City is measured differently than its book value, which is the value of New that is recorded on the company's balance sheet. Investors also form their own opinion of New York's value that differs from its market value or its book value, called intrinsic value, which is New York'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 New York's market value can be influenced by many factors that don't directly affect New York'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 New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New York'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 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 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 New York.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in New York on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding New York City or generate 0.0% return on investment in New York over 90 days. New York is related to or competes with Frp Holdings, Marcus Millichap, J W, Anywhere Real, New England, FirstService Corp, and Maui Land. is a publicly traded real estate investment trust listed on the NYSE that owns a portfolio of high-quality commercial re... 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 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 New York City upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.92 | |||
| Information Ratio | 0.1291 | |||
| Maximum Drawdown | 12.05 | |||
| Value At Risk | (4.92) | |||
| Potential Upside | 5.36 |
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 | 0.0919 | |||
| Jensen Alpha | 0.3347 | |||
| Total Risk Alpha | 0.6831 | |||
| Sortino Ratio | 0.1375 | |||
| Treynor Ratio | 0.7683 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New York'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 York City Backtested Returns
New York appears to be somewhat reliable, given 3 months investment horizon. New York City has Sharpe Ratio of 0.0685, which conveys that the entity had a 0.0685 % return per unit of risk over the last 3 months. We have found thirty technical indicators for New York, which you can use to evaluate the volatility of the etf. Please exercise New York's Downside Deviation of 2.92, risk adjusted performance of 0.0919, and Mean Deviation of 2.56 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of 0.38, which conveys possible diversification benefits within a given portfolio. 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 | -0.35 |
Poor reverse predictability
New York City has poor reverse predictability. Overlapping area represents the amount of predictability between New York 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 New York City price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.3 |
New York City lagged returns against current returns
Autocorrelation, which is New York 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 New York's etf 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 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 |
| 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if New York etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in New York etf 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 etf 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 etf current value and its past values and can show if there is a momentum factor associated with investing in New York City.
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 New Etf
New York financial ratios help investors to determine whether New Etf 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.