Spdr Factset Innovative Etf Market Value

XITK Etf  USD 135.65  0.79  0.58%   
SPDR FactSet's market value is the price at which a share of SPDR FactSet trades on a public exchange. It measures the collective expectations of SPDR FactSet Innovative investors about its performance. SPDR FactSet is selling for 135.65 as of the 19th of April 2024. This is a -0.58% down since the beginning of the trading day. The etf's last reported lowest price was 135.51.
With this module, you can estimate the performance of a buy and hold strategy of SPDR FactSet Innovative and determine expected loss or profit from investing in SPDR FactSet over a given investment horizon. Check out SPDR FactSet Correlation, SPDR FactSet Volatility and SPDR FactSet Alpha and Beta module to complement your research on SPDR FactSet.
Symbol

The market value of SPDR FactSet Innovative 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 FactSet's value that differs from its market value or its book value, called intrinsic value, which is SPDR FactSet'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 FactSet's market value can be influenced by many factors that don't directly affect SPDR FactSet'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 FactSet's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR FactSet is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR FactSet'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 FactSet '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 FactSet'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 FactSet.
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 FactSet on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR FactSet Innovative or generate 0.0% return on investment in SPDR FactSet over 30 days. SPDR FactSet is related to or competes with ARK Genomic, ARK Innovation, and ARK Space. -listed stock and American Depository Receipts of Technology companies and Technology-related companies within the most ... More

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

SPDR FactSet Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR FactSet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR FactSet's standard deviation. In reality, there are many statistical measures that can use SPDR FactSet historical prices to predict the future SPDR FactSet'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 FactSet'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
134.15135.65137.15
Details
Intrinsic
Valuation
LowRealHigh
127.37128.87149.22
Details
Naive
Forecast
LowNextHigh
129.45130.96132.46
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
135.17135.91136.66
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SPDR FactSet. Your research has to be compared to or analyzed against SPDR FactSet's peers to derive any actionable benefits. When done correctly, SPDR FactSet'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 FactSet Innovative.

SPDR FactSet Innovative Backtested Returns

SPDR FactSet Innovative owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0816, which indicates the etf had a -0.0816% return per unit of volatility over the last 3 months. SPDR FactSet Innovative exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR FactSet's risk adjusted performance of (0.01), and Variance of 2.32 to confirm the risk estimate we provide. The entity has a beta of 1.87, 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 FactSet will likely underperform.

Auto-correlation

    
  0.73  

Good predictability

SPDR FactSet Innovative has good predictability. Overlapping area represents the amount of predictability between SPDR FactSet 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 FactSet Innovative price movement. The serial correlation of 0.73 indicates that around 73.0% of current SPDR FactSet price fluctuation can be explain by its past prices.
Correlation Coefficient0.73
Spearman Rank Test0.56
Residual Average0.0
Price Variance16.34

SPDR FactSet Innovative lagged returns against current returns

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

SPDR FactSet Lagged Returns

When evaluating SPDR FactSet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR FactSet etf have on its future price. SPDR FactSet 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 FactSet autocorrelation shows the relationship between SPDR FactSet etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR FactSet Innovative.
   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 FactSet Innovative 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 Factset Innovative Etf. Highlighted below are key reports to facilitate an investment decision about Spdr Factset Innovative Etf:
Check out SPDR FactSet Correlation, SPDR FactSet Volatility and SPDR FactSet Alpha and Beta module to complement your research on SPDR FactSet.
You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
SPDR FactSet 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 FactSet technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SPDR FactSet 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...