Spdr Sp 400 Etf Market Value
MDYG Etf | USD 87.29 0.26 0.30% |
Symbol | SPDR |
The market value of SPDR SP 400 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 SP's value that differs from its market value or its book value, called intrinsic value, which is SPDR SP'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 SP's market value can be influenced by many factors that don't directly affect SPDR SP'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 SP's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR SP is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR SP'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 SP '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 SP'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 SP.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in SPDR SP on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding SPDR SP 400 or generate 0.0% return on investment in SPDR SP over 720 days. SPDR SP is related to or competes with Cisco Systems, Barloworld, Morningstar Unconstrained, SPACE, Via Renewables, and Bondbloxx ETF. The fund generally invests substantially all, but at least 80, of its total assets in the securities comprising the inde... More
SPDR SP 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 SP'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 SP 400 upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.8885 | |||
Information Ratio | 0.0921 | |||
Maximum Drawdown | 3.58 | |||
Value At Risk | (1.03) | |||
Potential Upside | 1.65 |
SPDR SP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR SP's standard deviation. In reality, there are many statistical measures that can use SPDR SP historical prices to predict the future SPDR SP's volatility.Risk Adjusted Performance | 0.1368 | |||
Jensen Alpha | 0.0291 | |||
Total Risk Alpha | 0.0031 | |||
Sortino Ratio | 0.0951 | |||
Treynor Ratio | 0.1451 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR SP'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 SP 400 Backtested Returns
SPDR SP appears to be very steady, given 3 months investment horizon. SPDR SP 400 owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.27, which indicates the etf had a 0.27% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for SPDR SP 400, which you can use to evaluate the volatility of the etf. Please review SPDR SP's risk adjusted performance of 0.1368, and Coefficient Of Variation of 418.31 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.44, 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 SP will likely underperform.
Auto-correlation | 0.27 |
Poor predictability
SPDR SP 400 has poor predictability. Overlapping area represents the amount of predictability between SPDR SP time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th of March 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 SP 400 price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current SPDR SP price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.27 | |
Spearman Rank Test | 0.15 | |
Residual Average | 0.0 | |
Price Variance | 28.17 |
SPDR SP 400 lagged returns against current returns
Autocorrelation, which is SPDR SP 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 SP's etf expected returns. We can calculate the autocorrelation of SPDR SP returns to help us make a trade decision. For example, suppose you find that SPDR SP 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 SP 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 SP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR SP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR SP etf over time.
Current vs Lagged Prices |
Timeline |
SPDR SP Lagged Returns
When evaluating SPDR SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR SP etf have on its future price. SPDR SP 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 SP autocorrelation shows the relationship between SPDR SP etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR SP 400.
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 SP 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 SP's short interest history, or implied volatility extrapolated from SPDR SP options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out SPDR SP Correlation, SPDR SP Volatility and SPDR SP Alpha and Beta module to complement your research on SPDR SP. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Complementary Tools for SPDR Etf analysis
When running SPDR SP's price analysis, check to measure SPDR SP'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 SP is operating at the current time. Most of SPDR SP's value examination focuses on studying past and present price action to predict the probability of SPDR SP'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 SP's price. Additionally, you may evaluate how the addition of SPDR SP to your portfolios can decrease your overall portfolio volatility.
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |
SPDR SP 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.