Spdr Series Trust Etf Market Value
| SPDG Etf | 37.65 0.54 1.46% |
| Symbol | SPDR |
The market value of SPDR Series Trust 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 Series' value that differs from its market value or its book value, called intrinsic value, which is SPDR Series' 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 Series' market value can be influenced by many factors that don't directly affect SPDR Series' 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 Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Series' 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 Series '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 Series' 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 Series.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in SPDR Series on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Series Trust or generate 0.0% return on investment in SPDR Series over 90 days. SPDR Series is related to or competes with Freedom Day, IShares MSCI, Tidal Trust, IShares Dividend, SmartETFs Dividend, Listed Funds, and Martin Currie. More
SPDR Series 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 Series' 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 Series Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0765 | |||
| Maximum Drawdown | 5.19 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 1.38 |
SPDR Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Series' standard deviation. In reality, there are many statistical measures that can use SPDR Series historical prices to predict the future SPDR Series' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | 0.0385 | |||
| Total Risk Alpha | 0.0854 | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR Series' 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 Series Trust Backtested Returns
SPDR Series Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0485, which indicates the etf had a -0.0485 % return per unit of volatility over the last 3 months. SPDR Series Trust exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR Series' variance of 0.9281, and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The entity has a beta of 0.68, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPDR Series' returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Series is expected to be smaller as well.
Auto-correlation | -0.47 |
Modest reverse predictability
SPDR Series Trust has modest reverse predictability. Overlapping area represents the amount of predictability between SPDR Series time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 Series Trust price movement. The serial correlation of -0.47 indicates that about 47.0% of current SPDR Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
SPDR Series Trust lagged returns against current returns
Autocorrelation, which is SPDR Series 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 Series' etf expected returns. We can calculate the autocorrelation of SPDR Series returns to help us make a trade decision. For example, suppose you find that SPDR Series 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 Series 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 Series etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Series etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Series etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Series Lagged Returns
When evaluating SPDR Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Series etf have on its future price. SPDR Series 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 Series autocorrelation shows the relationship between SPDR Series etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Series Trust.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether SPDR Series Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SPDR Series' 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 Series Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Spdr Series Trust Etf:Check out SPDR Series Correlation, SPDR Series Volatility and SPDR Series Alpha and Beta module to complement your research on SPDR Series. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
SPDR Series 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.