Goldman Sachs Physical Etf Market Value

AAAU Etf  USD 21.71  0.15  0.70%   
Goldman Sachs' market value is the price at which a share of Goldman Sachs trades on a public exchange. It measures the collective expectations of Goldman Sachs Physical investors about its performance. Goldman Sachs is selling for under 21.71 as of the 28th of March 2024; that is 0.70% increase since the beginning of the trading day. The etf's last reported lowest price was 21.64.
With this module, you can estimate the performance of a buy and hold strategy of Goldman Sachs Physical and determine expected loss or profit from investing in Goldman Sachs over a given investment horizon. Check out Goldman Sachs Correlation, Goldman Sachs Volatility and Goldman Sachs Alpha and Beta module to complement your research on Goldman Sachs.
Symbol

The market value of Goldman Sachs Physical is measured differently than its book value, which is the value of Goldman that is recorded on the company's balance sheet. Investors also form their own opinion of Goldman Sachs' value that differs from its market value or its book value, called intrinsic value, which is Goldman Sachs' 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 Goldman Sachs' market value can be influenced by many factors that don't directly affect Goldman Sachs' 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 Goldman Sachs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Goldman Sachs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Goldman Sachs' 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.

Goldman Sachs '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 Goldman Sachs' 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 Goldman Sachs.
0.00
04/03/2023
No Change 0.00  0.0 
In 11 months and 27 days
03/28/2024
0.00
If you would invest  0.00  in Goldman Sachs on April 3, 2023 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Physical or generate 0.0% return on investment in Goldman Sachs over 360 days. Goldman Sachs is related to or competes with MicroSectors Gold, ProShares Ultra, GraniteShares Gold, Invesco DB, DB Gold, DB Gold, and DB Gold. The trust holds London Bars and Physical Gold of other specifications without numismatic value More

Goldman Sachs 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 Goldman Sachs' 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 Goldman Sachs Physical upside and downside potential and time the market with a certain degree of confidence.

Goldman Sachs Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Goldman Sachs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Goldman Sachs' standard deviation. In reality, there are many statistical measures that can use Goldman Sachs historical prices to predict the future Goldman Sachs' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Goldman Sachs' 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
21.0521.7022.35
Details
Intrinsic
Valuation
LowRealHigh
19.3219.9723.88
Details
Naive
Forecast
LowNextHigh
20.5321.1821.83
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
21.4121.5921.77
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Goldman Sachs. Your research has to be compared to or analyzed against Goldman Sachs' peers to derive any actionable benefits. When done correctly, Goldman Sachs' 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 Goldman Sachs Physical.

Goldman Sachs Physical Backtested Returns

We consider Goldman Sachs very steady. Goldman Sachs Physical holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Goldman Sachs Physical, which you can use to evaluate the volatility of the entity. Please check out Goldman Sachs' Market Risk Adjusted Performance of (0.51), downside deviation of 0.6041, and Risk Adjusted Performance of 0.0846 to validate if the risk estimate we provide is consistent with the expected return of 0.1%. The etf retains a Market Volatility (i.e., Beta) of -0.17, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Goldman Sachs are expected to decrease at a much lower rate. During the bear market, Goldman Sachs is likely to outperform the market.

Auto-correlation

    
  -0.68  

Very good reverse predictability

Goldman Sachs Physical has very good reverse predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 3rd of April 2023 to 30th of September 2023 and 30th of September 2023 to 28th of March 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 Goldman Sachs Physical price movement. The serial correlation of -0.68 indicates that around 68.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
Correlation Coefficient-0.68
Spearman Rank Test-0.58
Residual Average0.0
Price Variance0.62

Goldman Sachs Physical lagged returns against current returns

Autocorrelation, which is Goldman Sachs 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 Goldman Sachs' etf expected returns. We can calculate the autocorrelation of Goldman Sachs returns to help us make a trade decision. For example, suppose you find that Goldman Sachs 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  

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

Goldman Sachs Lagged Returns

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

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 Goldman Sachs 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, Goldman Sachs' short interest history, or implied volatility extrapolated from Goldman Sachs options trading.

Pair Trading with Goldman Sachs

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Goldman Sachs position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Goldman Sachs will appreciate offsetting losses from the drop in the long position's value.

Moving together with Goldman Etf

  0.94GLD SPDR Gold SharesPairCorr
  0.97IAU IShares Gold TrustPairCorr
  0.86SLV IShares Silver TrustPairCorr
  0.97GLDM SPDR Gold MiniSharesPairCorr
  0.97SGOL Abrdn Physical GoldPairCorr
The ability to find closely correlated positions to Goldman Sachs could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Goldman Sachs when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Goldman Sachs - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Goldman Sachs Physical to buy it.
The correlation of Goldman Sachs is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Goldman Sachs moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Goldman Sachs Physical moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Goldman Sachs can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Goldman Sachs Physical 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 Goldman 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 Goldman Sachs Physical Etf. Highlighted below are key reports to facilitate an investment decision about Goldman Sachs Physical Etf:
Check out Goldman Sachs Correlation, Goldman Sachs Volatility and Goldman Sachs Alpha and Beta module to complement your research on Goldman Sachs.
Note that the Goldman Sachs Physical information on this page should be used as a complementary analysis to other Goldman Sachs' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

Complementary Tools for Goldman Etf analysis

When running Goldman Sachs' price analysis, check to measure Goldman Sachs' 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 Goldman Sachs is operating at the current time. Most of Goldman Sachs' value examination focuses on studying past and present price action to predict the probability of Goldman Sachs' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Goldman Sachs' price. Additionally, you may evaluate how the addition of Goldman Sachs to your portfolios can decrease your overall portfolio volatility.
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Goldman Sachs 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 Goldman Sachs technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Goldman Sachs 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...