SVSPX Mutual Fund Market Value


USD 214.41  3.69  1.75%   

SSGA SP's market value is the price at which a share of SSGA SP stock trades on a public exchange. It measures the collective expectations of SSGA SP 500 investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of SSGA SP 500 and determine expected loss or profit from investing in SSGA SP over a given investment horizon. Additionally, take a look at SSGA SP Correlation, SSGA SP Volatility and SSGA SP Alpha and Beta module to complement your research on SSGA SP.

Please note, there is a significant difference between SSGA SP's value and its price as these two are different measures arrived at by different means. Investors typically determine SSGA SP value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SSGA SP'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.

SSGA SP '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 SSGA SP's mutual fund 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 SSGA SP.
No Change 0.00  0.0 
In 31 days
If you would invest  0.00  in SSGA SP on August 25, 2022 and sell it all today you would earn a total of 0.00 from holding SSGA SP 500 or generate 0.0% return on investment in SSGA SP over 30 days. SSGA SP is related to or competes with Caterpillar. The adviser uses an index tracking management strategy designed to track the performance of the SP 500 Index More

SSGA SP 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 SSGA SP's mutual fund 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 SSGA SP 500 upside and downside potential and time the market with a certain degree of confidence.

SSGA SP Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SSGA SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSGA SP's standard deviation. In reality, there are many statistical measures that can use SSGA SP historical prices to predict the future SSGA SP's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of SSGA SP'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. Please use the tools below to analyze the current value of SSGA SP in the context of predictive analytics.
LowEstimated ValueHigh
LowReal ValueHigh
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SSGA SP. Your research has to be compared to or analyzed against SSGA SP's peers to derive any actionable benefits. When done correctly, SSGA SP's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in SSGA SP 500.

SSGA SP 500 Backtested Returns

SSGA SP 500 owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0394, which indicates the fund had -0.0394% of return per unit of volatility over the last 3 months. Macroaxis approach towards measuring the risk of any fund is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. SSGA SP 500 exposes twenty-one different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate SSGA SP coefficient of variation of 23586.13, and Risk Adjusted Performance of 0.0063 to confirm the risk estimate we provide.
The entity has a beta of 0.0442, which indicates not very significant fluctuations relative to the market. Let's try to break down what SVSPX's beta means in this case. As returns on the market increase, SSGA SP returns are expected to increase less than the market. However, during the bear market, the loss on holding SSGA SP will be expected to be smaller as well. Even though it is essential to pay attention to SSGA SP 500 current price movements, it is always good to be careful when utilizing equity historical returns. Our approach towards measuring any fund's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. SSGA SP 500 exposes twenty-one different technical indicators, which can help you to evaluate its performance.



Below average predictability

SSGA SP 500 has below average predictability. Overlapping area represents the amount of predictability between SSGA SP time series from 25th of August 2022 to 9th of September 2022 and 9th of September 2022 to 24th of September 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SSGA SP 500 price movement. The serial correlation of 0.38 indicates that just about 38.0% of current SSGA SP price fluctuation can be explain by its past prices.
Correlation Coefficient0.38
Spearman Rank Test0.15
Residual Average0.0
Price Variance49.43

SSGA SP 500 lagged returns against current returns

Autocorrelation, which is SSGA SP mutual fund'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 SSGA SP's mutual fund expected returns. We can calculate the autocorrelation of SSGA SP returns to help us make a trade decision. For example, suppose you find that SSGA SP mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   

SSGA SP 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 SSGA SP mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSGA SP mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSGA SP mutual fund over time.
   Current vs Lagged Prices   

SSGA SP Lagged Returns

When evaluating SSGA SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSGA SP mutual fund have on its future price. SSGA SP 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, SSGA SP autocorrelation shows the relationship between SSGA SP mutual fund current value and its past values and can show if there is a momentum factor associated with investing in SSGA SP 500.
   Regressed Prices   

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SSGA SP in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SSGA SP's short interest history, or implied volatility extrapolated from SSGA SP options trading.

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Additionally, take a look at SSGA SP Correlation, SSGA SP Volatility and SSGA SP Alpha and Beta module to complement your research on SSGA SP. You can also try Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

Complementary Tools for analysis

When running SSGA SP 500 price analysis, check to measure SSGA SP's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SSGA SP is operating at the current time. Most of SSGA SP's value examination focuses on studying past and present price action to predict the probability of SSGA SP's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move SSGA SP's price. Additionally, you may evaluate how the addition of SSGA SP to your portfolios can decrease your overall portfolio volatility.
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SSGA SP technical mutual fund 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, fund market cycles, or different charting patterns.
A focus of SSGA SP technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SSGA SP 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...