The Goldman Sachs Preferred Stock Market Value
| GS-PC Preferred Stock | USD 22.94 0.31 1.33% |
| 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' preferred 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.
| 03/16/2024 |
| 04/15/2024 |
If you would invest 0.00 in Goldman Sachs on March 16, 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 30 days. Goldman Sachs is related to or competes with Morgan Stanley, and Morgan Stanley. The Goldman Sachs Group, Inc. operates as an investment banking, securities, and investment management company worldwide 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' preferred 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 | 0.4939 | |||
| Information Ratio | 0.0334 | |||
| Maximum Drawdown | 2.82 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 1.25 |
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 | 0.1022 | |||
| Jensen Alpha | 0.0832 | |||
| Total Risk Alpha | 0.0229 | |||
| Sortino Ratio | 0.04 | |||
| Treynor Ratio | 1.26 |
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
We consider Goldman Sachs very steady. Goldman Sachs holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Goldman Sachs, which you can use to evaluate the volatility of the firm. Please check out Goldman Sachs' Risk Adjusted Performance of 0.1022, market risk adjusted performance of 1.27, and Downside Deviation of 0.4939 to validate if the risk estimate we provide is consistent with the expected return of 0.0755%. Goldman Sachs has a performance score of 9 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.0697, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Goldman Sachs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Goldman Sachs is expected to be smaller as well. Goldman Sachs right now retains a risk of 0.61%. Please check out Goldman Sachs total risk alpha, value at risk, and the relationship between the standard deviation and treynor ratio , to decide if Goldman Sachs will be following its current trending patterns.
Auto-correlation | 0.34 |
Below average predictability
The Goldman Sachs has below average predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 16th of March 2024 to 31st of March 2024 and 31st of March 2024 to 15th 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 price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.34 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Goldman Sachs lagged returns against current returns
Autocorrelation, which is Goldman Sachs preferred 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' preferred 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 preferred 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 preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Goldman Sachs preferred 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 preferred 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 preferred 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 preferred 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 |
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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Complementary Tools for Goldman Preferred 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.
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Goldman Sachs technical preferred 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, preferred stock market cycles, or different charting patterns.