GOLDMAN SACHS GROUP Odds of Future Bond Price Finishing Over 110.20
| 38141EQ93 | 103.90 1.50 1.42% |
GOLDMAN |
GOLDMAN Target Price Odds to finish over 110.20
The tendency of GOLDMAN Bond price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move over 110.20 or more in 90 days |
| 103.90 | 90 days | 110.20 | about 1.44 |
Based on a normal probability distribution, the odds of GOLDMAN to move over 110.20 or more in 90 days from now is about 1.44 (This GOLDMAN SACHS GROUP probability density function shows the probability of GOLDMAN Bond to fall within a particular range of prices over 90 days) . Probability of GOLDMAN SACHS GROUP price to stay between its current price of 103.90 and 110.20 at the end of the 90-day period is about 90.07 .
Assuming the 90 days trading horizon GOLDMAN SACHS GROUP has a beta of -0.27. This usually implies as returns on the benchmark increase, returns on holding GOLDMAN are expected to decrease at a much lower rate. During a bear market, however, GOLDMAN SACHS GROUP is likely to outperform the market. Additionally GOLDMAN SACHS GROUP has an alpha of 0.0258, implying that it can generate a 0.0258 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). GOLDMAN Price Density |
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Predictive Modules for GOLDMAN
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GOLDMAN SACHS GROUP. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.GOLDMAN Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. GOLDMAN is not an exception. The market had few large corrections towards the GOLDMAN's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold GOLDMAN SACHS GROUP, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of GOLDMAN within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.27 | |
σ | Overall volatility | 1.77 | |
Ir | Information ratio | -0.08 |
GOLDMAN Technical Analysis
GOLDMAN's future price can be derived by breaking down and analyzing its technical indicators over time. GOLDMAN Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GOLDMAN SACHS GROUP. In general, you should focus on analyzing GOLDMAN Bond price patterns and their correlations with different microeconomic environments and drivers.
GOLDMAN Predictive Forecast Models
GOLDMAN's time-series forecasting models is one of many GOLDMAN's bond analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary GOLDMAN's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the bond market movement and maximize returns from investment trading.
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 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's short interest history, or implied volatility extrapolated from GOLDMAN options trading.
Other Information on Investing in GOLDMAN Bond
GOLDMAN financial ratios help investors to determine whether GOLDMAN Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in GOLDMAN with respect to the benefits of owning GOLDMAN security.