General Mills (Germany) Market Value
| GIS Stock | 87.07 0.51 0.58% |
| Symbol | General |
General Mills '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 Mills' 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 Mills.
| 11/16/2024 |
| 12/16/2024 |
If you would invest 0.00 in General Mills on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding General Mills or generate 0.0% return on investment in General Mills over 30 days. General Mills is related to or competes with Johnson Johnson, AstraZeneca PLC, Bayer AG, and Biogen. More
General Mills 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 Mills' 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 Mills upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.46 | |||
| Information Ratio | 0.1038 | |||
| Maximum Drawdown | 8.93 | |||
| Value At Risk | (1.94) | |||
| Potential Upside | 2.55 |
General Mills Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for General Mills' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as General Mills' standard deviation. In reality, there are many statistical measures that can use General Mills historical prices to predict the future General Mills' volatility.| Risk Adjusted Performance | 0.1281 | |||
| Jensen Alpha | 0.1797 | |||
| Total Risk Alpha | 0.0589 | |||
| Sortino Ratio | 0.1086 | |||
| Treynor Ratio | 0.3261 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of General Mills' 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.
General Mills Backtested Returns
General Mills appears to be very steady, given 3 months investment horizon. General Mills holds Efficiency (Sharpe) Ratio of 0.17, which attests that the entity had a 0.17% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for General Mills, which you can use to evaluate the volatility of the firm. Please utilize General Mills' Downside Deviation of 1.46, risk adjusted performance of 0.1281, and Market Risk Adjusted Performance of 0.3361 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, General Mills holds a performance score of 13. The company retains a Market Volatility (i.e., Beta) of 0.76, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, General Mills' returns are expected to increase less than the market. However, during the bear market, the loss of holding General Mills is expected to be smaller as well. Please check General Mills' sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to make a quick decision on whether General Mills' current trending patterns will revert.
Auto-correlation | -0.19 |
Insignificant reverse predictability
General Mills has insignificant reverse predictability. Overlapping area represents the amount of predictability between General Mills time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th of December 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 Mills price movement. The serial correlation of -0.19 indicates that over 19.0% of current General Mills price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 1.06 |
General Mills lagged returns against current returns
Autocorrelation, which is General Mills 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 Mills' stock expected returns. We can calculate the autocorrelation of General Mills returns to help us make a trade decision. For example, suppose you find that General Mills 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 Mills 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 Mills stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if General Mills stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in General Mills stock over time.
Current vs Lagged Prices |
| Timeline |
General Mills Lagged Returns
When evaluating General Mills' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of General Mills stock have on its future price. General Mills 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 Mills autocorrelation shows the relationship between General Mills stock current value and its past values and can show if there is a momentum factor associated with investing in General Mills.
Regressed Prices |
| Timeline |
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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 Tools for General Stock Analysis
When running General Mills' price analysis, check to measure General Mills' 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 General Mills is operating at the current time. Most of General Mills' value examination focuses on studying past and present price action to predict the probability of General Mills' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move General Mills' price. Additionally, you may evaluate how the addition of General Mills to your portfolios can decrease your overall portfolio volatility.