NYSE Declining's market value is the price at which a share of NYSE Declining trades on a public exchange. It measures the collective expectations of NYSE Declining Volume investors about its performance. NYSE Declining is enlisted at 944.88 as of the 20th of December 2024; that is 55.92 percent decrease since the beginning of the trading day. The index's open price was 2143.4. With this module, you can estimate the performance of a buy and hold strategy of NYSE Declining Volume and determine expected loss or profit from investing in NYSE Declining over a given investment horizon. Check out Correlation 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 Declining '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 Declining'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 Declining.
0.00
11/20/2024
No Change 0.00
0.0
In 31 days
12/20/2024
0.00
If you would invest 0.00 in NYSE Declining on November 20, 2024 and sell it all today you would earn a total of 0.00 from holding NYSE Declining Volume or generate 0.0% return on investment in NYSE Declining over 30 days.
NYSE Declining 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 Declining'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 Declining Volume 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 Declining's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NYSE Declining's standard deviation. In reality, there are many statistical measures that can use NYSE Declining historical prices to predict the future NYSE Declining's volatility.
NYSE Declining Volume 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 break down and interpolate twenty-five different technical indicators, which can help you to evaluate if expected returns of 13.34% 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 Declining are completely uncorrelated.
Auto-correlation
0.55
Modest predictability
NYSE Declining Volume has modest predictability. Overlapping area represents the amount of predictability between NYSE Declining time series from 20th of November 2024 to 5th of December 2024 and 5th of December 2024 to 20th of December 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 NYSE Declining Volume price movement. The serial correlation of 0.55 indicates that about 55.0% of current NYSE Declining price fluctuation can be explain by its past prices.
Correlation Coefficient
0.55
Spearman Rank Test
0.18
Residual Average
0.0
Price Variance
194.5 K
NYSE Declining Volume lagged returns against current returns
Autocorrelation, which is NYSE Declining 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 Declining's index expected returns. We can calculate the autocorrelation of NYSE Declining returns to help us make a trade decision. For example, suppose you find that NYSE Declining 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 Declining 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 Declining index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NYSE Declining index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NYSE Declining index over time.
Current vs Lagged Prices
Timeline
NYSE Declining Lagged Returns
When evaluating NYSE Declining's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NYSE Declining index have on its future price. NYSE Declining 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 Declining autocorrelation shows the relationship between NYSE Declining index current value and its past values and can show if there is a momentum factor associated with investing in NYSE Declining Volume.
Regressed Prices
Timeline
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