Spdr Bloomberg International Etf Market Value

BWX Etf  USD 21.80  0.16  0.74%   
SPDR Bloomberg's market value is the price at which a share of SPDR Bloomberg trades on a public exchange. It measures the collective expectations of SPDR Bloomberg International investors about its performance. SPDR Bloomberg is trading at 21.80 as of the 26th of November 2024; that is 0.74 percent increase since the beginning of the trading day. The etf's open price was 21.64.
With this module, you can estimate the performance of a buy and hold strategy of SPDR Bloomberg International and determine expected loss or profit from investing in SPDR Bloomberg over a given investment horizon. Check out SPDR Bloomberg Correlation, SPDR Bloomberg Volatility and SPDR Bloomberg Alpha and Beta module to complement your research on SPDR Bloomberg.
Symbol

The market value of SPDR Bloomberg Inter 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 Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is SPDR Bloomberg'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 Bloomberg's market value can be influenced by many factors that don't directly affect SPDR Bloomberg'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 Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Bloomberg'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 Bloomberg '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 Bloomberg'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 Bloomberg.
0.00
07/05/2023
No Change 0.00  0.0 
In 1 year 4 months and 26 days
11/26/2024
0.00
If you would invest  0.00  in SPDR Bloomberg on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding SPDR Bloomberg International or generate 0.0% return on investment in SPDR Bloomberg over 510 days. SPDR Bloomberg is related to or competes with SPDR FTSE, Invesco Emerging, SPDR Bloomberg, IShares 3, and IShares MBS. The fund generally invests substantially all, but at least 80, of its total assets in the securities comprising the inde... More

SPDR Bloomberg 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 Bloomberg'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 Bloomberg International upside and downside potential and time the market with a certain degree of confidence.

SPDR Bloomberg Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Bloomberg's standard deviation. In reality, there are many statistical measures that can use SPDR Bloomberg historical prices to predict the future SPDR Bloomberg'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 Bloomberg'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
21.2721.8022.33
Details
Intrinsic
Valuation
LowRealHigh
20.0120.5423.98
Details
Naive
Forecast
LowNextHigh
21.1421.6722.20
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
21.5921.7221.85
Details

SPDR Bloomberg Inter Backtested Returns

SPDR Bloomberg Inter owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.14, which indicates the etf had a -0.14% return per unit of volatility over the last 3 months. SPDR Bloomberg International exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR Bloomberg's risk adjusted performance of (0.13), and Variance of 0.27 to confirm the risk estimate we provide. The entity has a beta of -0.15, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR Bloomberg are expected to decrease at a much lower rate. During the bear market, SPDR Bloomberg is likely to outperform the market.

Auto-correlation

    
  0.64  

Good predictability

SPDR Bloomberg International has good predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th 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 Bloomberg Inter price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
Correlation Coefficient0.64
Spearman Rank Test0.08
Residual Average0.0
Price Variance0.38

SPDR Bloomberg Inter lagged returns against current returns

Autocorrelation, which is SPDR Bloomberg 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 Bloomberg's etf expected returns. We can calculate the autocorrelation of SPDR Bloomberg returns to help us make a trade decision. For example, suppose you find that SPDR Bloomberg 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 Bloomberg 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 Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Bloomberg etf over time.
   Current vs Lagged Prices   
       Timeline  

SPDR Bloomberg Lagged Returns

When evaluating SPDR Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Bloomberg etf have on its future price. SPDR Bloomberg 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 Bloomberg autocorrelation shows the relationship between SPDR Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Bloomberg International.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether SPDR Bloomberg Inter is a strong investment it is important to analyze SPDR Bloomberg'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 Bloomberg's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:
Check out SPDR Bloomberg Correlation, SPDR Bloomberg Volatility and SPDR Bloomberg Alpha and Beta module to complement your research on SPDR Bloomberg.
You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
SPDR Bloomberg 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 Bloomberg technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SPDR Bloomberg 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...