Spdr Msci Usa Etf Market Value

QUS Etf  USD 161.92  0.93  0.58%   
SPDR MSCI's market value is the price at which a share of SPDR MSCI trades on a public exchange. It measures the collective expectations of SPDR MSCI USA investors about its performance. SPDR MSCI is selling for under 161.92 as of the 25th of November 2024; that is 0.58 percent increase since the beginning of the trading day. The etf's lowest day price was 161.5.
With this module, you can estimate the performance of a buy and hold strategy of SPDR MSCI USA and determine expected loss or profit from investing in SPDR MSCI over a given investment horizon. Check out SPDR MSCI Correlation, SPDR MSCI Volatility and SPDR MSCI Alpha and Beta module to complement your research on SPDR MSCI.
Symbol

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.
0.00
10/26/2024
No Change 0.00  0.0 
In 31 days
11/25/2024
0.00
If you would invest  0.00  in SPDR MSCI on October 26, 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 SSGA, 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
161.19161.84162.49
Details
Intrinsic
Valuation
LowRealHigh
147.51148.16178.11
Details
Naive
Forecast
LowNextHigh
160.14160.80161.45
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
158.18160.86163.54
Details

SPDR MSCI USA Backtested Returns

Currently, SPDR MSCI USA is very steady. SPDR MSCI USA owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the etf had a 0.11% 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 risk adjusted performance of 0.0935, and Coefficient Of Variation of 805.05 to confirm if the risk estimate we provide is consistent with the expected return of 0.0684%. The entity has a beta of 0.78, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPDR MSCI's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR MSCI is expected to be smaller as well.

Auto-correlation

    
  0.48  

Average predictability

SPDR MSCI USA has average predictability. Overlapping area represents the amount of predictability between SPDR MSCI time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 MSCI USA price movement. The serial correlation of 0.48 indicates that about 48.0% of current SPDR MSCI price fluctuation can be explain by its past prices.
Correlation Coefficient0.48
Spearman Rank Test-0.08
Residual Average0.0
Price Variance1.74

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  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether SPDR MSCI USA is a strong investment it is important to analyze SPDR MSCI'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 MSCI's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:
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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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.
A focus of SPDR MSCI technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SPDR MSCI trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...