Goldman Sachs (Germany) Market Value
| GOS Stock | 578.30 9.50 1.67% |
| Symbol | Goldman |
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.
| 02/27/2024 |
| 11/23/2024 |
If you would invest 0.00 in Goldman Sachs on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding The Goldman Sachs or generate 0.0% return on investment in Goldman Sachs over 270 days. Goldman Sachs is related to or competes with Macquarie Group, MSCI, Superior Plus, NMI Holdings, Origin Agritech, SIVERS SEMICONDUCTORS, and Talanx AG. 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 The Goldman Sachs upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.48 | |||
| Information Ratio | 0.1072 | |||
| Maximum Drawdown | 17.68 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 2.53 |
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 | 0.1302 | |||
| Jensen Alpha | 0.1002 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.1758 | |||
| Treynor Ratio | 0.1638 |
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 Backtested Returns
Goldman Sachs appears to be very steady, given 3 months investment horizon. Goldman Sachs holds Efficiency (Sharpe) Ratio of 0.17, which attests that the entity had a 0.17% return per unit of risk over the last 3 months. We have found thirty technical indicators for Goldman Sachs, which you can use to evaluate the volatility of the firm. Please utilize Goldman Sachs' Downside Deviation of 1.48, risk adjusted performance of 0.1302, and Market Risk Adjusted Performance of 0.1738 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Goldman Sachs holds a performance score of 13. The company retains a Market Volatility (i.e., Beta) of 2.33, 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. Please check Goldman Sachs' jensen alpha, skewness, relative strength index, as well as the relationship between the value at risk and day median price , to make a quick decision on whether Goldman Sachs' current trending patterns will revert.
Auto-correlation | 0.51 |
Modest predictability
The Goldman Sachs has modest predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 27th of February 2024 to 11th of July 2024 and 11th of July 2024 to 23rd of November 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 price movement. The serial correlation of 0.51 indicates that about 51.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 1379.0 |
Goldman Sachs 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 The Goldman Sachs.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Goldman Stock 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.