Spdr Portfolio Sp Etf Market Value

SPYV Etf  USD 54.44  0.16  0.29%   
SPDR Portfolio's market value is the price at which a share of SPDR Portfolio trades on a public exchange. It measures the collective expectations of SPDR Portfolio SP investors about its performance. SPDR Portfolio is selling for under 54.44 as of the 4th of December 2024; that is 0.29 percent decrease since the beginning of the trading day. The etf's lowest day price was 54.27.
With this module, you can estimate the performance of a buy and hold strategy of SPDR Portfolio SP and determine expected loss or profit from investing in SPDR Portfolio over a given investment horizon. Check out SPDR Portfolio Correlation, SPDR Portfolio Volatility and SPDR Portfolio Alpha and Beta module to complement your research on SPDR Portfolio.
Symbol

The market value of SPDR Portfolio SP 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 Portfolio's value that differs from its market value or its book value, called intrinsic value, which is SPDR Portfolio'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 Portfolio's market value can be influenced by many factors that don't directly affect SPDR Portfolio'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 Portfolio's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Portfolio is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Portfolio'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 Portfolio '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 Portfolio'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 Portfolio.
0.00
12/15/2022
No Change 0.00  0.0 
In 1 year 11 months and 22 days
12/04/2024
0.00
If you would invest  0.00  in SPDR Portfolio on December 15, 2022 and sell it all today you would earn a total of 0.00 from holding SPDR Portfolio SP or generate 0.0% return on investment in SPDR Portfolio over 720 days. SPDR Portfolio is related to or competes with SPDR Portfolio, SPDR Portfolio, SPDR Portfolio, SPDR SP, and SPDR SP. The fund employs a sampling strategy in seeking to track the performance of the SP 500 Value Index More

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

SPDR Portfolio Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Portfolio's standard deviation. In reality, there are many statistical measures that can use SPDR Portfolio historical prices to predict the future SPDR Portfolio'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 Portfolio'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
53.9754.5955.21
Details
Intrinsic
Valuation
LowRealHigh
53.6554.2754.89
Details
Naive
Forecast
LowNextHigh
54.1554.7755.39
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
53.8554.4855.11
Details

SPDR Portfolio SP Backtested Returns

At this stage we consider SPDR Etf to be very steady. SPDR Portfolio SP owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the etf had a 0.15% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR Portfolio SP, which you can use to evaluate the volatility of the etf. Please validate SPDR Portfolio's coefficient of variation of 929.54, and Risk Adjusted Performance of 0.0799 to confirm if the risk estimate we provide is consistent with the expected return of 0.0908%. The entity has a beta of 0.75, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPDR Portfolio's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Portfolio is expected to be smaller as well.

Auto-correlation

    
  0.58  

Modest predictability

SPDR Portfolio SP has modest predictability. Overlapping area represents the amount of predictability between SPDR Portfolio time series from 15th of December 2022 to 10th of December 2023 and 10th of December 2023 to 4th 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 Portfolio SP price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current SPDR Portfolio price fluctuation can be explain by its past prices.
Correlation Coefficient0.58
Spearman Rank Test0.66
Residual Average0.0
Price Variance7.21

SPDR Portfolio SP lagged returns against current returns

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

SPDR Portfolio Lagged Returns

When evaluating SPDR Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Portfolio etf have on its future price. SPDR Portfolio 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 Portfolio autocorrelation shows the relationship between SPDR Portfolio etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Portfolio SP.
   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.
Explore Investing Ideas  
When determining whether SPDR Portfolio SP is a strong investment it is important to analyze SPDR Portfolio'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 Portfolio's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:
Check out SPDR Portfolio Correlation, SPDR Portfolio Volatility and SPDR Portfolio Alpha and Beta module to complement your research on SPDR Portfolio.
You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
SPDR Portfolio 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 Portfolio technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SPDR Portfolio 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...