NYSE New's market value is the price at which a share of NYSE New trades on a public exchange. It measures the collective expectations of NYSE New Highs investors about its performance. NYSE New is enlisted at 44.00 as of the 18th of March 2025; that is 100.00 percent up since the beginning of the trading day. The index's open price was 22.0. With this module, you can estimate the performance of a buy and hold strategy of NYSE New Highs and determine expected loss or profit from investing in NYSE New over a given investment horizon. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
NYSE
NYSE 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 NYSE New's index 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 NYSE New.
0.00
12/18/2024
No Change 0.00
0.0
In 2 months and 31 days
03/18/2025
0.00
If you would invest 0.00 in NYSE New on December 18, 2024 and sell it all today you would earn a total of 0.00 from holding NYSE New Highs or generate 0.0% return on investment in NYSE New over 90 days.
NYSE 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 NYSE New's index 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 NYSE New Highs upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for NYSE New's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NYSE New's standard deviation. In reality, there are many statistical measures that can use NYSE New historical prices to predict the future NYSE New's volatility.
NYSE New Highs has Sharpe Ratio of 0.24, which conveys that the entity had a 0.24 % return per unit of standard deviation over the last 3 months. We were able to analyze and collect data for twenty-five different technical indicators, which can help you to evaluate if expected returns of 15.57% are justified by taking the suggested risk. The index secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and NYSE New are completely uncorrelated.
Auto-correlation
-0.61
Very good reverse predictability
NYSE New Highs has very good reverse predictability. Overlapping area represents the amount of predictability between NYSE New time series from 18th of December 2024 to 1st of February 2025 and 1st of February 2025 to 18th 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 NYSE New Highs price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current NYSE New price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.61
Spearman Rank Test
-0.59
Residual Average
0.0
Price Variance
688.98
NYSE New Highs lagged returns against current returns
Autocorrelation, which is NYSE New index'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 NYSE New's index expected returns. We can calculate the autocorrelation of NYSE New returns to help us make a trade decision. For example, suppose you find that NYSE New has exhibited high autocorrelation historically, and you observe that the index 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
NYSE 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 NYSE New index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NYSE New index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NYSE New index over time.
Current vs Lagged Prices
Timeline
NYSE New Lagged Returns
When evaluating NYSE New's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NYSE New index have on its future price. NYSE 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, NYSE New autocorrelation shows the relationship between NYSE New index current value and its past values and can show if there is a momentum factor associated with investing in NYSE New Highs.
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.