Mueller Industries (Germany) Market Value
| MUD Stock | EUR 75.50 0.50 0.67% |
| Symbol | Mueller |
Mueller Industries '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 Mueller Industries' 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 Mueller Industries.
| 11/24/2024 |
| 12/24/2024 |
If you would invest 0.00 in Mueller Industries on November 24, 2024 and sell it all today you would earn a total of 0.00 from holding Mueller Industries or generate 0.0% return on investment in Mueller Industries over 30 days. Mueller Industries is related to or competes with Allegheny Technologies, China International, Thyssenkrupp, Thyssenkrupp, Carpenter Technology. Mueller Industries, Inc. manufactures and sells copper, brass, aluminum, and plastic products in the United States, the ... More
Mueller Industries 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 Mueller Industries' 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 Mueller Industries upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.53 | |||
| Information Ratio | 0.0766 | |||
| Maximum Drawdown | 25.5 | |||
| Value At Risk | (4.54) | |||
| Potential Upside | 4.76 |
Mueller Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mueller Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mueller Industries' standard deviation. In reality, there are many statistical measures that can use Mueller Industries historical prices to predict the future Mueller Industries' volatility.| Risk Adjusted Performance | 0.0753 | |||
| Jensen Alpha | 0.3342 | |||
| Total Risk Alpha | 0.2133 | |||
| Sortino Ratio | 0.1217 | |||
| Treynor Ratio | (2.12) |
Mueller Industries Backtested Returns
Mueller Industries appears to be very steady, given 3 months investment horizon. Mueller Industries has Sharpe Ratio of 0.0917, which conveys that the firm had a 0.0917% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Mueller Industries, which you can use to evaluate the volatility of the firm. Please exercise Mueller Industries' Downside Deviation of 2.53, risk adjusted performance of 0.0753, and Mean Deviation of 2.38 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Mueller Industries holds a performance score of 7. The company secures a Beta (Market Risk) of -0.16, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Mueller Industries are expected to decrease at a much lower rate. During the bear market, Mueller Industries is likely to outperform the market. Please check Mueller Industries' coefficient of variation, sortino ratio, potential upside, as well as the relationship between the jensen alpha and maximum drawdown , to make a quick decision on whether Mueller Industries' current price movements will revert.
Auto-correlation | -0.17 |
Insignificant reverse predictability
Mueller Industries has insignificant reverse predictability. Overlapping area represents the amount of predictability between Mueller Industries time series from 24th of November 2024 to 9th of December 2024 and 9th of December 2024 to 24th 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 Mueller Industries price movement. The serial correlation of -0.17 indicates that over 17.0% of current Mueller Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 5.11 |
Mueller Industries lagged returns against current returns
Autocorrelation, which is Mueller Industries 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 Mueller Industries' stock expected returns. We can calculate the autocorrelation of Mueller Industries returns to help us make a trade decision. For example, suppose you find that Mueller Industries 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 |
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Mueller Industries 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 Mueller Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mueller Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mueller Industries stock over time.
Current vs Lagged Prices |
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Mueller Industries Lagged Returns
When evaluating Mueller Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mueller Industries stock have on its future price. Mueller Industries 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, Mueller Industries autocorrelation shows the relationship between Mueller Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Mueller Industries.
Regressed Prices |
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Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Mueller Stock
When determining whether Mueller Industries offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Mueller Industries' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Mueller Industries Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Mueller Industries Stock:Check out Mueller Industries Correlation, Mueller Industries Volatility and Mueller Industries Alpha and Beta module to complement your research on Mueller Industries. For more detail on how to invest in Mueller Stock please use our How to Invest in Mueller Industries guide.You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Mueller Industries 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.