Spdr Dow Jones Etf Market Value
| DIA Etf | USD 447.89 0.85 0.19% |
| Symbol | SPDR |
The market value of SPDR Dow Jones is measured differently than its book value, which is the value of SPDR that is recorded on the company's balance sheet. Investors also form their own opinion of SPDR Dow's value that differs from its market value or its book value, called intrinsic value, which is SPDR Dow'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 SPDR Dow's market value can be influenced by many factors that don't directly affect SPDR Dow'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 SPDR Dow's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Dow is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Dow'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.
SPDR Dow '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 SPDR Dow'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 SPDR Dow.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in SPDR Dow on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Dow Jones or generate 0.0% return on investment in SPDR Dow over 30 days. SPDR Dow is related to or competes with Global X, Dell Technologies, Juniper Networks, HUMANA, Barloworld, Morningstar Unconstrained, and High-yield Municipal. The Trusts Portfolio consists of substantially all of the component common stocks that comprise the DJIA, which are weig... More
SPDR Dow 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 SPDR Dow'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 SPDR Dow Jones upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6175 | |||
| Information Ratio | 0.0088 | |||
| Maximum Drawdown | 4.35 | |||
| Value At Risk | (0.97) | |||
| Potential Upside | 1.08 |
SPDR Dow Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Dow's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Dow's standard deviation. In reality, there are many statistical measures that can use SPDR Dow historical prices to predict the future SPDR Dow's volatility.| Risk Adjusted Performance | 0.1212 | |||
| Jensen Alpha | 0.0079 | |||
| Total Risk Alpha | 0.0078 | |||
| Sortino Ratio | 0.0107 | |||
| Treynor Ratio | 0.1113 |
SPDR Dow Jones Backtested Returns
At this point, SPDR Dow is very steady. SPDR Dow Jones owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the etf had a 0.21% return per unit of volatility over the last 3 months. We have found thirty technical indicators for SPDR Dow Jones, which you can use to evaluate the volatility of the etf. Please validate SPDR Dow's risk adjusted performance of 0.1212, and Coefficient Of Variation of 628.76 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. The entity has a beta of 0.99, which indicates possible diversification benefits within a given portfolio. SPDR Dow returns are very sensitive to returns on the market. As the market goes up or down, SPDR Dow is expected to follow.
Auto-correlation | 0.86 |
Very good predictability
SPDR Dow Jones has very good predictability. Overlapping area represents the amount of predictability between SPDR Dow time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 SPDR Dow Jones price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current SPDR Dow price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 34.88 |
SPDR Dow Jones lagged returns against current returns
Autocorrelation, which is SPDR Dow 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 SPDR Dow's etf expected returns. We can calculate the autocorrelation of SPDR Dow returns to help us make a trade decision. For example, suppose you find that SPDR Dow 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 |
SPDR Dow 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 SPDR Dow etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Dow etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Dow etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Dow Lagged Returns
When evaluating SPDR Dow's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Dow etf have on its future price. SPDR Dow 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, SPDR Dow autocorrelation shows the relationship between SPDR Dow etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Dow Jones.
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.When determining whether SPDR Dow Jones offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SPDR Dow's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Spdr Dow Jones Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Spdr Dow Jones Etf:Check out SPDR Dow Correlation, SPDR Dow Volatility and SPDR Dow Alpha and Beta module to complement your research on SPDR Dow. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
SPDR Dow technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.