Spdr Doubleline Short Etf Market Value

STOT Etf  USD 46.66  0.11  0.24%   
SPDR DoubleLine's market value is the price at which a share of SPDR DoubleLine trades on a public exchange. It measures the collective expectations of SPDR DoubleLine Short investors about its performance. SPDR DoubleLine is selling for under 46.66 as of the 19th of April 2024; that is -0.24% down since the beginning of the trading day. The etf's last reported lowest price was 46.63.
With this module, you can estimate the performance of a buy and hold strategy of SPDR DoubleLine Short and determine expected loss or profit from investing in SPDR DoubleLine over a given investment horizon. Check out SPDR DoubleLine Correlation, SPDR DoubleLine Volatility and SPDR DoubleLine Alpha and Beta module to complement your research on SPDR DoubleLine.
Symbol

The market value of SPDR DoubleLine Short 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 DoubleLine's value that differs from its market value or its book value, called intrinsic value, which is SPDR DoubleLine'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 DoubleLine's market value can be influenced by many factors that don't directly affect SPDR DoubleLine'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 DoubleLine's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR DoubleLine is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR DoubleLine'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 DoubleLine '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 DoubleLine'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 DoubleLine.
0.00
03/20/2024
No Change 0.00  0.0 
In 31 days
04/19/2024
0.00
If you would invest  0.00  in SPDR DoubleLine on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR DoubleLine Short or generate 0.0% return on investment in SPDR DoubleLine over 30 days. SPDR DoubleLine is related to or competes with Vanguard Intermediate, Vanguard Long, Vanguard Total, and Vanguard Intermediate. Under normal circumstances, the fund will invest at least 80 percent of its net assets in a diversified portfolio of fix... More

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

SPDR DoubleLine Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR DoubleLine's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR DoubleLine's standard deviation. In reality, there are many statistical measures that can use SPDR DoubleLine historical prices to predict the future SPDR DoubleLine'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 DoubleLine'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
46.5746.6646.75
Details
Intrinsic
Valuation
LowRealHigh
42.8342.9251.33
Details
Naive
Forecast
LowNextHigh
46.5946.6846.77
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
46.5946.7046.80
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SPDR DoubleLine. Your research has to be compared to or analyzed against SPDR DoubleLine's peers to derive any actionable benefits. When done correctly, SPDR DoubleLine's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SPDR DoubleLine Short.

SPDR DoubleLine Short Backtested Returns

We consider SPDR DoubleLine very steady. SPDR DoubleLine Short owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0951, which indicates the etf had a 0.0951% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for SPDR DoubleLine Short, which you can use to evaluate the volatility of the etf. Please validate SPDR DoubleLine's risk adjusted performance of 0.0041, and Standard Deviation of 0.0886 to confirm if the risk estimate we provide is consistent with the expected return of 0.0086%. The entity has a beta of 0.0539, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPDR DoubleLine's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR DoubleLine is expected to be smaller as well.

Auto-correlation

    
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Virtually no predictability

SPDR DoubleLine Short has virtually no predictability. Overlapping area represents the amount of predictability between SPDR DoubleLine time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 DoubleLine Short price movement. The serial correlation of 0.01 indicates that just 1.0% of current SPDR DoubleLine price fluctuation can be explain by its past prices.
Correlation Coefficient0.01
Spearman Rank Test0.04
Residual Average0.0
Price Variance0.0

SPDR DoubleLine Short lagged returns against current returns

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

SPDR DoubleLine Lagged Returns

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

Currently Active Assets on Macroaxis

When determining whether SPDR DoubleLine Short is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if SPDR Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Spdr Doubleline Short Etf. Highlighted below are key reports to facilitate an investment decision about Spdr Doubleline Short Etf:
Check out SPDR DoubleLine Correlation, SPDR DoubleLine Volatility and SPDR DoubleLine Alpha and Beta module to complement your research on SPDR DoubleLine.
You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
SPDR DoubleLine 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 DoubleLine technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SPDR DoubleLine 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...