Spdr Russell 1000 Etf Market Value
| ONEO Etf | USD 108.34 0.68 0.62% |
| Symbol | SPDR |
The market value of SPDR Russell 1000 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 Russell's value that differs from its market value or its book value, called intrinsic value, which is SPDR Russell'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 Russell's market value can be influenced by many factors that don't directly affect SPDR Russell'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 Russell's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Russell is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Russell'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 Russell '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 Russell'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 Russell.
| 03/18/2024 |
| 04/17/2024 |
If you would invest 0.00 in SPDR Russell on March 18, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Russell 1000 or generate 0.0% return on investment in SPDR Russell over 30 days. SPDR Russell is related to or competes with High-yield Municipal. Under normal market conditions, the fund generally invests substantially all, but at least 80, of its total assets in th... More
SPDR Russell 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 Russell'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 Russell 1000 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.869 | |||
| Information Ratio | 0.0279 | |||
| Maximum Drawdown | 3.11 | |||
| Value At Risk | (1.41) | |||
| Potential Upside | 1.15 |
SPDR Russell Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Russell's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Russell's standard deviation. In reality, there are many statistical measures that can use SPDR Russell historical prices to predict the future SPDR Russell's volatility.| Risk Adjusted Performance | 0.0647 | |||
| Jensen Alpha | 0.0145 | |||
| Total Risk Alpha | 0.0113 | |||
| Sortino Ratio | 0.0248 | |||
| Treynor Ratio | 0.058 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR Russell's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SPDR Russell 1000 Backtested Returns
We consider SPDR Russell very steady. SPDR Russell 1000 owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the etf had a 0.11% return per unit of volatility over the last 3 months. We have found thirty technical indicators for SPDR Russell 1000, which you can use to evaluate the volatility of the etf. Please validate SPDR Russell's coefficient of variation of 1002.31, and Risk Adjusted Performance of 0.0647 to confirm if the risk estimate we provide is consistent with the expected return of 0.0889%. The entity has a beta of 1.16, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, SPDR Russell will likely underperform.
Auto-correlation | -0.46 |
Modest reverse predictability
SPDR Russell 1000 has modest reverse predictability. Overlapping area represents the amount of predictability between SPDR Russell time series from 18th of March 2024 to 2nd of April 2024 and 2nd of April 2024 to 17th of April 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 Russell 1000 price movement. The serial correlation of -0.46 indicates that about 46.0% of current SPDR Russell price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 3.14 |
SPDR Russell 1000 lagged returns against current returns
Autocorrelation, which is SPDR Russell 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 Russell's etf expected returns. We can calculate the autocorrelation of SPDR Russell returns to help us make a trade decision. For example, suppose you find that SPDR Russell 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 Russell 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 Russell etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Russell etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Russell etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Russell Lagged Returns
When evaluating SPDR Russell's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Russell etf have on its future price. SPDR Russell 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 Russell autocorrelation shows the relationship between SPDR Russell etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Russell 1000.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SPDR Russell in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SPDR Russell's short interest history, or implied volatility extrapolated from SPDR Russell options trading.
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Try AI Portfolio ArchitectCheck out SPDR Russell Correlation, SPDR Russell Volatility and SPDR Russell Alpha and Beta module to complement your research on SPDR Russell. Note that the SPDR Russell 1000 information on this page should be used as a complementary analysis to other SPDR Russell's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
SPDR Russell 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.