Spdr Russell Small Etf Market Value
| SPMD Etf | USD 54.33 0.58 1.08% |
| Symbol | SPDR |
The market value of SPDR Russell Small 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.
| 11/03/2024 |
| 03/03/2025 |
If you would invest 0.00 in SPDR Russell on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Russell Small or generate 0.0% return on investment in SPDR Russell over 120 days. SPDR Russell is related to or competes with SPDR Portfolio, SPDR SP, SPDR Portfolio, SPDR Portfolio, and SPDR SP. 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 Small upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 4.51 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.17 |
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 | (0.1) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | (0.25) |
SPDR Russell Small Backtested Returns
SPDR Russell Small owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the etf had a -0.13 % return per unit of volatility over the last 3 months. SPDR Russell Small exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR Russell's risk adjusted performance of (0.1), and Variance of 0.8628 to confirm the risk estimate we provide. The entity has a beta of 0.54, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPDR Russell's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Russell is expected to be smaller as well.
Auto-correlation | 0.56 |
Modest predictability
SPDR Russell Small has modest predictability. Overlapping area represents the amount of predictability between SPDR Russell time series from 3rd of November 2024 to 2nd of January 2025 and 2nd of January 2025 to 3rd of March 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 SPDR Russell Small price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current SPDR Russell price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 1.18 |
SPDR Russell Small 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 Small.
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 Russell Small is a strong investment it is important to analyze SPDR Russell's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SPDR Russell's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:Check out SPDR Russell Correlation, SPDR Russell Volatility and SPDR Russell Alpha and Beta module to complement your research on SPDR Russell. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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.