General Electric (Germany) Market Value
| GCP Stock | 166.00 0.50 0.30% |
| Symbol | General |
General Electric '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 General Electric's 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 General Electric.
| 12/07/2024 |
| 01/06/2025 |
If you would invest 0.00 in General Electric on December 7, 2024 and sell it all today you would earn a total of 0.00 from holding General Electric or generate 0.0% return on investment in General Electric over 30 days.
General Electric 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 General Electric's 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 General Electric upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.18 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 9.46 | |||
| Value At Risk | (2.62) | |||
| Potential Upside | 2.39 |
General Electric Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for General Electric's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as General Electric's standard deviation. In reality, there are many statistical measures that can use General Electric historical prices to predict the future General Electric's volatility.| Risk Adjusted Performance | 0.0142 | |||
| Jensen Alpha | 0.0043 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0224 |
General Electric Backtested Returns
General Electric holds Efficiency (Sharpe) Ratio of -0.0123, which attests that the entity had a -0.0123% return per unit of risk over the last 3 months. General Electric exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out General Electric's Risk Adjusted Performance of 0.0142, market risk adjusted performance of 0.0324, and Downside Deviation of 2.18 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.43, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, General Electric's returns are expected to increase less than the market. However, during the bear market, the loss of holding General Electric is expected to be smaller as well. At this point, General Electric has a negative expected return of -0.0235%. Please make sure to check out General Electric's maximum drawdown, semi variance, and the relationship between the sortino ratio and potential upside , to decide if General Electric performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.95 |
Near perfect reversele predictability
General Electric has near perfect reversele predictability. Overlapping area represents the amount of predictability between General Electric time series from 7th of December 2024 to 22nd of December 2024 and 22nd of December 2024 to 6th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of General Electric price movement. The serial correlation of -0.95 indicates that approximately 95.0% of current General Electric price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.95 | |
| Spearman Rank Test | -0.94 | |
| Residual Average | 0.0 | |
| Price Variance | 4.5 |
General Electric lagged returns against current returns
Autocorrelation, which is General Electric 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 General Electric's stock expected returns. We can calculate the autocorrelation of General Electric returns to help us make a trade decision. For example, suppose you find that General Electric 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 |
General Electric 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 General Electric stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if General Electric stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in General Electric stock over time.
Current vs Lagged Prices |
| Timeline |
General Electric Lagged Returns
When evaluating General Electric's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of General Electric stock have on its future price. General Electric 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, General Electric autocorrelation shows the relationship between General Electric stock current value and its past values and can show if there is a momentum factor associated with investing in General Electric.
Regressed Prices |
| Timeline |
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