Spdr Msci Usa Etf Market Value
| QUS Etf | USD 140.88 0.01 0.01% |
| Symbol | SPDR |
The market value of SPDR MSCI USA 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 MSCI's value that differs from its market value or its book value, called intrinsic value, which is SPDR MSCI'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 MSCI's market value can be influenced by many factors that don't directly affect SPDR MSCI'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 MSCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR MSCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR MSCI'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 MSCI '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 MSCI'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 MSCI.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in SPDR MSCI on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR MSCI USA or generate 0.0% return on investment in SPDR MSCI over 30 days. SPDR MSCI is related to or competes with SPDR MSCI, SPDR MSCI, SPDR Russell, and SPDR Russell. The fund invests at least 80, of its total assets in the securities comprising the index More
SPDR MSCI 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 MSCI'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 MSCI USA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.654 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 3.17 | |||
| Value At Risk | (1.15) | |||
| Potential Upside | 0.9313 |
SPDR MSCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR MSCI's standard deviation. In reality, there are many statistical measures that can use SPDR MSCI historical prices to predict the future SPDR MSCI's volatility.| Risk Adjusted Performance | 0.0736 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0703 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR MSCI'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 MSCI USA Backtested Returns
We consider SPDR MSCI very steady. SPDR MSCI USA owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0992, which indicates the etf had a 0.0992% return per unit of volatility over the last 3 months. We have found thirty technical indicators for SPDR MSCI USA, which you can use to evaluate the volatility of the etf. Please validate SPDR MSCI's coefficient of variation of 846.05, and Risk Adjusted Performance of 0.0736 to confirm if the risk estimate we provide is consistent with the expected return of 0.0622%. The entity has a beta of 0.9, which indicates possible diversification benefits within a given portfolio. SPDR MSCI returns are very sensitive to returns on the market. As the market goes up or down, SPDR MSCI is expected to follow.
Auto-correlation | 0.32 |
Below average predictability
SPDR MSCI USA has below average predictability. Overlapping area represents the amount of predictability between SPDR MSCI time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 MSCI USA price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current SPDR MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 2.88 |
SPDR MSCI USA lagged returns against current returns
Autocorrelation, which is SPDR MSCI 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 MSCI's etf expected returns. We can calculate the autocorrelation of SPDR MSCI returns to help us make a trade decision. For example, suppose you find that SPDR MSCI 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 MSCI 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 MSCI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR MSCI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR MSCI etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR MSCI Lagged Returns
When evaluating SPDR MSCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR MSCI etf have on its future price. SPDR MSCI 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 MSCI autocorrelation shows the relationship between SPDR MSCI etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR MSCI USA.
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 MSCI 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 MSCI's short interest history, or implied volatility extrapolated from SPDR MSCI options trading.
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Check out SPDR MSCI Correlation, SPDR MSCI Volatility and SPDR MSCI Alpha and Beta module to complement your research on SPDR MSCI. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
SPDR MSCI 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.