Goldman Sachs Inflation Fund Market Value
| GGJPX Fund | USD 9.55 0.06 0.63% |
| 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' 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 Goldman Sachs.
| 11/01/2023 |
| 12/01/2023 |
If you would invest 0.00 in Goldman Sachs on November 1, 2023 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Inflation or generate 0.0% return on investment in Goldman Sachs over 30 days. Goldman Sachs is related to or competes with Origin Emerging, Franklin Emerging, Vy Jpmorgan, Rbc Emerging, Calvert Emerging, Dws Emerging, and Angel Oak. The investment seeks real return consistent with preservation of capital 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' 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 Goldman Sachs Inflation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4247 | |||
| Information Ratio | 0.0126 | |||
| Maximum Drawdown | 1.83 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 0.8556 |
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 | 0.0148 | |||
| Jensen Alpha | 0.0025 | |||
| Total Risk Alpha | 0.004 | |||
| Sortino Ratio | 0.0123 | |||
| Treynor Ratio | (0.07) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of Goldman Sachs in the context of predictive analytics.
Goldman Sachs Inflation Backtested Returns
We consider Goldman Sachs very steady. Goldman Sachs Inflation holds Efficiency (Sharpe) Ratio of 0.0303, which attests that the entity had 0.0303% of return per unit of risk over the last 3 months. Our standpoint towards determining the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty-six technical indicators for Goldman Sachs Inflation, which you can use to evaluate the future volatility of the entity. Please check out Goldman Sachs Downside Deviation of 0.4247, risk adjusted performance of 0.0148, and Market Risk Adjusted Performance of (0.06) to validate if the risk estimate we provide is consistent with the expected return of 0.0126%. The fund retains a Market Volatility (i.e., Beta) of -0.0391, 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. Although it is important to respect Goldman Sachs Inflation current price history, it is better to be realistic regarding the information on the equity's current price movements. Our main philosophy towards determining future performance of any fund is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By evaluating Goldman Sachs Inflation technical indicators, you can presently evaluate if the expected return of 0.0126% will be sustainable into the future.
Auto-correlation | 0.07 |
Virtually no predictability
Goldman Sachs Inflation has virtually no predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 1st of November 2023 to 16th of November 2023 and 16th of November 2023 to 1st of December 2023. 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 Inflation price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Goldman Sachs Inflation lagged returns against current returns
Autocorrelation, which is Goldman Sachs 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 Goldman Sachs' mutual fund 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 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 |
| 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Goldman Sachs mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Goldman Sachs mutual fund 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 mutual fund 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 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Goldman Sachs Inflation.
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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Check out Goldman Sachs Correlation, Goldman Sachs Volatility and Goldman Sachs Alpha and Beta module to complement your research on Goldman Sachs. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Complementary Tools for Goldman Mutual Fund 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 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.