General Motors (Brazil) Market Value
| GMCO34 Stock | BRL 83.99 2.19 2.68% |
| Symbol | General |
General Motors '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 Motors' 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 Motors.
| 08/31/2024 |
| 11/29/2024 |
If you would invest 0.00 in General Motors on August 31, 2024 and sell it all today you would earn a total of 0.00 from holding General Motors or generate 0.0% return on investment in General Motors over 90 days. General Motors is related to or competes with American Airlines, Extra Space, Metalurgica Gerdau, Unity Software, STMicroelectronics, Tres Tentos, and G2D Investments. General Motors Company designs, builds, and sells cars, trucks, crossovers, and automobile parts worldwide More
General Motors 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 Motors' 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 Motors upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.3 | |||
| Information Ratio | 0.0674 | |||
| Maximum Drawdown | 20.74 | |||
| Value At Risk | (4.51) | |||
| Potential Upside | 5.53 |
General Motors Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for General Motors' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as General Motors' standard deviation. In reality, there are many statistical measures that can use General Motors historical prices to predict the future General Motors' volatility.| Risk Adjusted Performance | 0.0905 | |||
| Jensen Alpha | 0.2389 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.0624 | |||
| Treynor Ratio | 0.4504 |
General Motors Backtested Returns
General Motors appears to be very steady, given 3 months investment horizon. General Motors holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found thirty technical indicators for General Motors, which you can use to evaluate the volatility of the firm. Please utilize General Motors' Downside Deviation of 3.3, risk adjusted performance of 0.0905, and Market Risk Adjusted Performance of 0.4604 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, General Motors holds a performance score of 8. The company retains a Market Volatility (i.e., Beta) of 0.71, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, General Motors' returns are expected to increase less than the market. However, during the bear market, the loss of holding General Motors is expected to be smaller as well. Please check General Motors' total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether General Motors' current trending patterns will revert.
Auto-correlation | -0.38 |
Poor reverse predictability
General Motors has poor reverse predictability. Overlapping area represents the amount of predictability between General Motors time series from 31st of August 2024 to 15th of October 2024 and 15th of October 2024 to 29th 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 General Motors price movement. The serial correlation of -0.38 indicates that just about 38.0% of current General Motors price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 26.99 |
General Motors lagged returns against current returns
Autocorrelation, which is General Motors 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 Motors' stock expected returns. We can calculate the autocorrelation of General Motors returns to help us make a trade decision. For example, suppose you find that General Motors 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 Motors 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 Motors stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if General Motors stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in General Motors stock over time.
Current vs Lagged Prices |
| Timeline |
General Motors Lagged Returns
When evaluating General Motors' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of General Motors stock have on its future price. General Motors 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 Motors autocorrelation shows the relationship between General Motors stock current value and its past values and can show if there is a momentum factor associated with investing in General Motors.
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 Information and Resources on Investing in General Stock
When determining whether General Motors is a strong investment it is important to analyze General Motors' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact General Motors' future performance. For an informed investment choice regarding General Stock, refer to the following important reports:Check out General Motors Correlation, General Motors Volatility and General Motors Alpha and Beta module to complement your research on General Motors. For information on how to trade General Stock refer to our How to Trade General Stock guide.You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
General Motors technical 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, stock market cycles, or different charting patterns.