Goldman Sachs Group Stock Market Value
| GS Stock | USD 403.11 0.80 0.20% |
| Symbol | Goldman |
Goldman Sachs Group Price To Book Ratio
Is Goldman Sachs' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Goldman Sachs. If investors know Goldman will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Goldman Sachs listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.317 | Dividend Share 10.75 | Earnings Share 25.65 | Revenue Per Share 138.222 | Quarterly Revenue Growth 0.121 |
The market value of Goldman Sachs Group 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' stock 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.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Goldman Sachs on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Group or generate 0.0% return on investment in Goldman Sachs over 30 days. Goldman Sachs is related to or competes with Morgan Stanley, JPMorgan Chase, Wells Fargo, Citigroup, and American Express. The Goldman Sachs Group, Inc., a financial institution, provides a range of financial services for corporations, financi... 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' stock 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 Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.13 | |||
| Information Ratio | 0.0295 | |||
| Maximum Drawdown | 6.77 | |||
| Value At Risk | (1.87) | |||
| Potential Upside | 2.18 |
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.| Risk Adjusted Performance | 0.0565 | |||
| Jensen Alpha | 0.0268 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0335 | |||
| Treynor Ratio | 0.0811 |
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.
Goldman Sachs Group Backtested Returns
We consider Goldman Sachs very steady. Goldman Sachs Group holds Efficiency (Sharpe) Ratio of 0.069, which attests that the entity had a 0.069% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Goldman Sachs Group, which you can use to evaluate the volatility of the firm. Please check out Goldman Sachs' Risk Adjusted Performance of 0.0565, downside deviation of 1.13, and Market Risk Adjusted Performance of 0.0911 to validate if the risk estimate we provide is consistent with the expected return of 0.0899%. Goldman Sachs has a performance score of 5 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 1.19, which attests to 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, Goldman Sachs will likely underperform. Goldman Sachs Group right now retains a risk of 1.3%. Please check out Goldman Sachs downside variance, and the relationship between the sortino ratio and accumulation distribution , to decide if Goldman Sachs will be following its current trending patterns.
Auto-correlation | -0.56 |
Good reverse predictability
Goldman Sachs Group has good reverse predictability. Overlapping area represents the amount of predictability between Goldman Sachs 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 Goldman Sachs Group price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.56 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 37.4 |
Goldman Sachs Group lagged returns against current returns
Autocorrelation, which is Goldman Sachs stock'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' stock 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 stock 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Goldman Sachs stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Goldman Sachs stock 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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Goldman Sachs Group.
Regressed Prices |
| Timeline |
Goldman Sachs Investors Sentiment
The influence of Goldman Sachs' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Goldman. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Goldman Sachs' public news can be used to forecast risks associated with an investment in Goldman. The trend in average sentiment can be used to explain how an investor holding Goldman can time the market purely based on public headlines and social activities around Goldman Sachs Group. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Goldman Sachs' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Goldman Sachs' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Goldman Sachs' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Goldman Sachs.
Goldman Sachs Implied Volatility | 39.29 |
Goldman Sachs' implied volatility exposes the market's sentiment of Goldman Sachs Group stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Goldman Sachs' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Goldman Sachs stock will not fluctuate a lot when Goldman Sachs' options are near their expiration.
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.
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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 stock 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, stock market cycles, or different charting patterns.