Spdr Portfolio Sp Etf Market Value
| SPLG Etf | USD 69.83 0.36 0.52% |
| Symbol | SPDR |
The market value of SPDR Portfolio SP 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 Portfolio's value that differs from its market value or its book value, called intrinsic value, which is SPDR Portfolio'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 Portfolio's market value can be influenced by many factors that don't directly affect SPDR Portfolio'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 Portfolio's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Portfolio is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Portfolio'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 Portfolio '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 Portfolio'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 Portfolio.
| 10/22/2024 |
| 11/21/2024 |
If you would invest 0.00 in SPDR Portfolio on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Portfolio SP or generate 0.0% return on investment in SPDR Portfolio over 30 days. SPDR Portfolio is related to or competes with IShares ESG, IShares ESG, Vanguard ESG, HUMANA, Barloworld, Morningstar Unconstrained, and Thrivent High. Under normal market conditions, the fund generally invests substantially all, but at least 80, of its total assets in th... More
SPDR Portfolio 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 Portfolio'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 Portfolio SP upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8394 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 3.78 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 1.12 |
SPDR Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Portfolio's standard deviation. In reality, there are many statistical measures that can use SPDR Portfolio historical prices to predict the future SPDR Portfolio's volatility.| Risk Adjusted Performance | 0.0902 | |||
| Jensen Alpha | 0.0086 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0954 |
SPDR Portfolio SP Backtested Returns
At this point, SPDR Portfolio is very steady. SPDR Portfolio SP owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the etf had a 0.12% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR Portfolio SP, which you can use to evaluate the volatility of the etf. Please validate SPDR Portfolio's coefficient of variation of 837.12, and Risk Adjusted Performance of 0.0902 to confirm if the risk estimate we provide is consistent with the expected return of 0.0937%. The entity has a beta of 0.86, which indicates possible diversification benefits within a given portfolio. SPDR Portfolio returns are very sensitive to returns on the market. As the market goes up or down, SPDR Portfolio is expected to follow.
Auto-correlation | 0.57 |
Modest predictability
SPDR Portfolio SP has modest predictability. Overlapping area represents the amount of predictability between SPDR Portfolio time series from 22nd of October 2024 to 6th of November 2024 and 6th of November 2024 to 21st of November 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 Portfolio SP price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current SPDR Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
SPDR Portfolio SP lagged returns against current returns
Autocorrelation, which is SPDR Portfolio 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 Portfolio's etf expected returns. We can calculate the autocorrelation of SPDR Portfolio returns to help us make a trade decision. For example, suppose you find that SPDR Portfolio 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 Portfolio 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 Portfolio etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Portfolio etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Portfolio etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Portfolio Lagged Returns
When evaluating SPDR Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Portfolio etf have on its future price. SPDR Portfolio 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 Portfolio autocorrelation shows the relationship between SPDR Portfolio etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Portfolio SP.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether SPDR Portfolio SP is a strong investment it is important to analyze SPDR Portfolio'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 Portfolio's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:Check out SPDR Portfolio Correlation, SPDR Portfolio Volatility and SPDR Portfolio Alpha and Beta module to complement your research on SPDR Portfolio. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
SPDR Portfolio 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.