SPDR Etf Market Value
| SPEM Etf | USD 33.57 0.04 0.12% |
| Symbol | SPDR |
The market value of SPDR Portfolio Emerging 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.
| 08/31/2023 |
| 09/30/2023 |
If you would invest 0.00 in SPDR Portfolio on August 31, 2023 and sell it all today you would earn a total of 0.00 from holding SPDR Portfolio Emerging or generate 0.0% return on investment in SPDR Portfolio over 30 days. SPDR Portfolio is related to or competes with Freedom Day, Davis Select, IShares MSCI, SmartETFs Dividend, Listed Funds, Xtrackers MSCI, and IShares MSCI. The fund generally invests substantially all, but at least 80, of its total assets in the securities comprising the inde... 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 Emerging upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.020824) | |||
| Maximum Drawdown | 4.32 | |||
| Value At Risk | (1.43) | |||
| Potential Upside | 1.22 |
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 | (0.019913) | |||
| Jensen Alpha | (0.018059) | |||
| Total Risk Alpha | (0.007656) | |||
| Treynor Ratio | (0.042479) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of SPDR Portfolio'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. Please use the tools below to analyze the current value of SPDR Portfolio in the context of predictive analytics.
SPDR Portfolio Emerging Backtested Returns
SPDR Portfolio Emerging owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0553, which indicates the etf had -0.0553% of return per unit of volatility over the last 3 months. Our approach towards measuring the risk of any etf is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. SPDR Portfolio Emerging exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its stock price that cannot be diversified away. Please validate SPDR Portfolio variance of 0.7685, and Risk Adjusted Performance of (0.019913) to confirm the risk estimate we provide. The entity has a beta of 1.008, which indicates a somewhat significant risk relative to the market. SPDR Portfolio returns are very sensitive to returns on the market. As the market goes up or down, SPDR Portfolio is expected to follow. SPDR Portfolio Emerging exposes twenty-one different technical indicators, which can help you to evaluate its performance.
Auto-correlation | 0.39 |
Below average predictability
SPDR Portfolio Emerging has below average predictability. Overlapping area represents the amount of predictability between SPDR Portfolio time series from 31st of August 2023 to 15th of September 2023 and 15th of September 2023 to 30th of September 2023. 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 Emerging price movement. The serial correlation of 0.39 indicates that just about 39.0% of current SPDR Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
SPDR Portfolio Emerging 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 etf has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock 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 Emerging.
Regressed Prices |
| Timeline |
Be your own money manager
Our tools can tell you how much better you can do entering a position in SPDR Portfolio without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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Fundamental AnalysisView fundamental data based on most recent published financial statements |
| All Next | Launch Module |
Currently Active Assets on Macroaxis
Check out SPDR Portfolio Correlation, SPDR Portfolio Volatility and SPDR Portfolio Alpha and Beta module to complement your research on SPDR Portfolio. Note that the SPDR Portfolio Emerging information on this page should be used as a complementary analysis to other SPDR Portfolio'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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Complementary Tools for SPDR Etf analysis
When running SPDR Portfolio's price analysis, check to measure SPDR Portfolio's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SPDR Portfolio is operating at the current time. Most of SPDR Portfolio's value examination focuses on studying past and present price action to predict the probability of SPDR Portfolio's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SPDR Portfolio's price. Additionally, you may evaluate how the addition of SPDR Portfolio to your portfolios can decrease your overall portfolio volatility.
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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.