DOW JONES's market value is the price at which a share of DOW JONES trades on a public exchange. It measures the collective expectations of DOW JONES EQUITY investors about its performance. DOW JONES is enlisted at 2572.04 as of the 19th of December 2024; that is 3.99% down since the beginning of the trading day. The index's open price was 2679.03. With this module, you can estimate the performance of a buy and hold strategy of DOW JONES EQUITY and determine expected loss or profit from investing in DOW JONES over a given investment horizon. Check out Your Equity Center 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
DOW
DOW JONES '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 DOW JONES'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 DOW JONES.
0.00
12/30/2022
No Change 0.00
0.0
In 1 year 11 months and 21 days
12/19/2024
0.00
If you would invest 0.00 in DOW JONES on December 30, 2022 and sell it all today you would earn a total of 0.00 from holding DOW JONES EQUITY or generate 0.0% return on investment in DOW JONES over 720 days.
DOW JONES 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 DOW JONES'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 DOW JONES EQUITY 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 DOW JONES's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DOW JONES's standard deviation. In reality, there are many statistical measures that can use DOW JONES historical prices to predict the future DOW JONES's volatility.
DOW JONES EQUITY secures Sharpe Ratio (or Efficiency) of -0.087, which denotes the index had a -0.087% return per unit of volatility over the last 3 months. DOW JONES EQUITY exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. The index shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and DOW JONES are completely uncorrelated.
Auto-correlation
-0.36
Poor reverse predictability
DOW JONES EQUITY has poor reverse predictability. Overlapping area represents the amount of predictability between DOW JONES time series from 30th of December 2022 to 25th of December 2023 and 25th of December 2023 to 19th 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 DOW JONES EQUITY price movement. The serial correlation of -0.36 indicates that just about 36.0% of current DOW JONES price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.36
Spearman Rank Test
-0.16
Residual Average
0.0
Price Variance
34.3 K
DOW JONES EQUITY lagged returns against current returns
Autocorrelation, which is DOW JONES 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 DOW JONES's index expected returns. We can calculate the autocorrelation of DOW JONES returns to help us make a trade decision. For example, suppose you find that DOW JONES 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
DOW JONES 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 DOW JONES index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DOW JONES index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DOW JONES index over time.
Current vs Lagged Prices
Timeline
DOW JONES Lagged Returns
When evaluating DOW JONES's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DOW JONES index have on its future price. DOW JONES 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, DOW JONES autocorrelation shows the relationship between DOW JONES index current value and its past values and can show if there is a momentum factor associated with investing in DOW JONES EQUITY.
Regressed Prices
Timeline
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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.