Mills Estruturas (Brazil) Market Value
| MILS3 Stock | BRL 13.86 0.06 0.43% |
| Symbol | Mills |
Mills Estruturas '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 Mills Estruturas' 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 Mills Estruturas.
| 04/04/2024 |
| 05/04/2024 |
If you would invest 0.00 in Mills Estruturas on April 4, 2024 and sell it all today you would earn a total of 0.00 from holding Mills Estruturas e or generate 0.0% return on investment in Mills Estruturas over 30 days. Mills Estruturas is related to or competes with APA, Transocean, Palantir Technologies, Norwegian Cruise, Royal Caribbean, Marathon Oil, and Devon Energy. Mills Estruturas e Servios de Engenharia S.A More
Mills Estruturas 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 Mills Estruturas' 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 Mills Estruturas e upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.56 | |||
| Information Ratio | 0.0348 | |||
| Maximum Drawdown | 7.97 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 4.07 |
Mills Estruturas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mills Estruturas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mills Estruturas' standard deviation. In reality, there are many statistical measures that can use Mills Estruturas historical prices to predict the future Mills Estruturas' volatility.| Risk Adjusted Performance | 0.057 | |||
| Jensen Alpha | 0.0852 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.039 | |||
| Treynor Ratio | 0.2006 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mills Estruturas' 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.
Mills Estruturas e Backtested Returns
We consider Mills Estruturas not too volatile. Mills Estruturas e has Sharpe Ratio of 0.097, which conveys that the firm had a 0.097% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Mills Estruturas, which you can use to evaluate the volatility of the firm. Please verify Mills Estruturas' Downside Deviation of 1.56, risk adjusted performance of 0.057, and Mean Deviation of 1.34 to check out if the risk estimate we provide is consistent with the expected return of 0.16%. Mills Estruturas has a performance score of 7 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.65, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Mills Estruturas' returns are expected to increase less than the market. However, during the bear market, the loss of holding Mills Estruturas is expected to be smaller as well. Mills Estruturas e right now secures a risk of 1.67%. Please verify Mills Estruturas e maximum drawdown, semi variance, and the relationship between the sortino ratio and potential upside , to decide if Mills Estruturas e will be following its current price movements.
Auto-correlation | -0.53 |
Good reverse predictability
Mills Estruturas e has good reverse predictability. Overlapping area represents the amount of predictability between Mills Estruturas time series from 4th of April 2024 to 19th of April 2024 and 19th of April 2024 to 4th of May 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 Mills Estruturas e price movement. The serial correlation of -0.53 indicates that about 53.0% of current Mills Estruturas price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Mills Estruturas e lagged returns against current returns
Autocorrelation, which is Mills Estruturas 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 Mills Estruturas' stock expected returns. We can calculate the autocorrelation of Mills Estruturas returns to help us make a trade decision. For example, suppose you find that Mills Estruturas 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 |
Mills Estruturas 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 Mills Estruturas stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mills Estruturas stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mills Estruturas stock over time.
Current vs Lagged Prices |
| Timeline |
Mills Estruturas Lagged Returns
When evaluating Mills Estruturas' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mills Estruturas stock have on its future price. Mills Estruturas 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, Mills Estruturas autocorrelation shows the relationship between Mills Estruturas stock current value and its past values and can show if there is a momentum factor associated with investing in Mills Estruturas e.
Regressed Prices |
| Timeline |
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 Mills Estruturas 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, Mills Estruturas' short interest history, or implied volatility extrapolated from Mills Estruturas options trading.
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Try AI Portfolio ArchitectCheck out Mills Estruturas Correlation, Mills Estruturas Volatility and Mills Estruturas Alpha and Beta module to complement your research on Mills Estruturas. Note that the Mills Estruturas e information on this page should be used as a complementary analysis to other Mills Estruturas' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Complementary Tools for Mills Stock analysis
When running Mills Estruturas' price analysis, check to measure Mills Estruturas' 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 Mills Estruturas is operating at the current time. Most of Mills Estruturas' value examination focuses on studying past and present price action to predict the probability of Mills Estruturas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mills Estruturas' price. Additionally, you may evaluate how the addition of Mills Estruturas to your portfolios can decrease your overall portfolio volatility.
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Mills Estruturas 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.