Spdr Morgan Stanley Etf Market Value

XNTK Etf  USD 210.07  2.35  1.13%   
SPDR Morgan's market value is the price at which a share of SPDR Morgan trades on a public exchange. It measures the collective expectations of SPDR Morgan Stanley investors about its performance. SPDR Morgan is selling for 210.07 as of the 27th of December 2024. This is a 1.13% up since the beginning of the trading day. The etf's last reported lowest price was 209.46.
With this module, you can estimate the performance of a buy and hold strategy of SPDR Morgan Stanley and determine expected loss or profit from investing in SPDR Morgan over a given investment horizon. Check out SPDR Morgan Correlation, SPDR Morgan Volatility and SPDR Morgan Alpha and Beta module to complement your research on SPDR Morgan.
Symbol

The market value of SPDR Morgan Stanley 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 Morgan's value that differs from its market value or its book value, called intrinsic value, which is SPDR Morgan'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 Morgan's market value can be influenced by many factors that don't directly affect SPDR Morgan'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 Morgan's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Morgan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Morgan'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 Morgan '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 Morgan'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 Morgan.
0.00
01/07/2023
No Change 0.00  0.0 
In 1 year 11 months and 21 days
12/27/2024
0.00
If you would invest  0.00  in SPDR Morgan on January 7, 2023 and sell it all today you would earn a total of 0.00 from holding SPDR Morgan Stanley or generate 0.0% return on investment in SPDR Morgan over 720 days. SPDR Morgan is related to or competes with Technology Select, Financial Select, Consumer Discretionary, and Industrial Select. The fund generally invests substantially all, but at least 80, of its total assets in the securities comprising the inde... More

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

SPDR Morgan Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Morgan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Morgan's standard deviation. In reality, there are many statistical measures that can use SPDR Morgan historical prices to predict the future SPDR Morgan'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 Morgan'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
208.73209.87211.01
Details
Intrinsic
Valuation
LowRealHigh
189.06215.92217.06
Details

SPDR Morgan Stanley Backtested Returns

As of now, SPDR Etf is very steady. SPDR Morgan Stanley owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0926, which indicates the etf had a 0.0926% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR Morgan Stanley, which you can use to evaluate the volatility of the etf. Please validate SPDR Morgan's coefficient of variation of 985.91, and Risk Adjusted Performance of 0.0837 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. The entity has a beta of -0.0145, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR Morgan are expected to decrease at a much lower rate. During the bear market, SPDR Morgan is likely to outperform the market.

Auto-correlation

    
  0.84  

Very good predictability

SPDR Morgan Stanley has very good predictability. Overlapping area represents the amount of predictability between SPDR Morgan time series from 7th of January 2023 to 2nd of January 2024 and 2nd of January 2024 to 27th of December 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 Morgan Stanley price movement. The serial correlation of 0.84 indicates that around 84.0% of current SPDR Morgan price fluctuation can be explain by its past prices.
Correlation Coefficient0.84
Spearman Rank Test0.71
Residual Average0.0
Price Variance165.97

SPDR Morgan Stanley lagged returns against current returns

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

SPDR Morgan Lagged Returns

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

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When determining whether SPDR Morgan Stanley 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 Morgan Stanley Etf. Highlighted below are key reports to facilitate an investment decision about Spdr Morgan Stanley Etf:
Check out SPDR Morgan Correlation, SPDR Morgan Volatility and SPDR Morgan Alpha and Beta module to complement your research on SPDR Morgan.
You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
SPDR Morgan 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 Morgan technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SPDR Morgan 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...