NASDAQ Dividend's market value is the price at which a share of NASDAQ Dividend trades on a public exchange. It measures the collective expectations of NASDAQ Dividend Achievers investors about its performance. NASDAQ Dividend is listed at 4760.85 as of the 1st of February 2025, which is a 0.39 percent down since the beginning of the trading day. The index's lowest day price was 4757.14. With this module, you can estimate the performance of a buy and hold strategy of NASDAQ Dividend Achievers and determine expected loss or profit from investing in NASDAQ Dividend over a given investment horizon. Check out Investing Opportunities 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 gross domestic product.
Symbol
NASDAQ
NASDAQ Dividend '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 NASDAQ Dividend'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 NASDAQ Dividend.
0.00
08/05/2024
No Change 0.00
0.0
In 5 months and 30 days
02/01/2025
0.00
If you would invest 0.00 in NASDAQ Dividend on August 5, 2024 and sell it all today you would earn a total of 0.00 from holding NASDAQ Dividend Achievers or generate 0.0% return on investment in NASDAQ Dividend over 180 days.
NASDAQ Dividend 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 NASDAQ Dividend'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 NASDAQ Dividend Achievers 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 NASDAQ Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NASDAQ Dividend's standard deviation. In reality, there are many statistical measures that can use NASDAQ Dividend historical prices to predict the future NASDAQ Dividend's volatility.
NASDAQ Dividend Achievers has Sharpe Ratio of 0.1, which conveys that the index had a 0.1 % return per unit of standard deviation over the last 3 months. We have found twenty-six technical indicators for NASDAQ Dividend, which you can use to evaluate the volatility of the entity. The entity secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and NASDAQ Dividend are completely uncorrelated.
Auto-correlation
-0.07
Very weak reverse predictability
NASDAQ Dividend Achievers has very weak reverse predictability. Overlapping area represents the amount of predictability between NASDAQ Dividend time series from 5th of August 2024 to 3rd of November 2024 and 3rd of November 2024 to 1st of February 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 NASDAQ Dividend Achievers price movement. The serial correlation of -0.07 indicates that barely 7.0% of current NASDAQ Dividend price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.07
Spearman Rank Test
-0.13
Residual Average
0.0
Price Variance
5125.76
NASDAQ Dividend Achievers lagged returns against current returns
Autocorrelation, which is NASDAQ Dividend 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 NASDAQ Dividend's index expected returns. We can calculate the autocorrelation of NASDAQ Dividend returns to help us make a trade decision. For example, suppose you find that NASDAQ Dividend 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
NASDAQ Dividend 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 NASDAQ Dividend index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NASDAQ Dividend index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NASDAQ Dividend index over time.
Current vs Lagged Prices
Timeline
NASDAQ Dividend Lagged Returns
When evaluating NASDAQ Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NASDAQ Dividend index have on its future price. NASDAQ Dividend 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, NASDAQ Dividend autocorrelation shows the relationship between NASDAQ Dividend index current value and its past values and can show if there is a momentum factor associated with investing in NASDAQ Dividend Achievers.
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.