Companhia (Brazil) Market Value
| CTNM4 Preferred Stock | BRL 0.86 0.00 0.00% |
| Symbol | Companhia |
Companhia '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 Companhia's preferred 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 Companhia.
| 07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in Companhia on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding Companhia de Tecidos or generate 0.0% return on investment in Companhia over 510 days. Companhia is related to or competes with Companhia, Springs Global, Companhia, Marcopolo, and Inepar SA. Companhia de Tecidos Norte de Minas produces, markets, exports, imports, and sells yarns and fabrics in Brazil and inter... More
Companhia 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 Companhia's preferred 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 Companhia de Tecidos upside and downside potential and time the market with a certain degree of confidence.
Companhia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Companhia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Companhia's standard deviation. In reality, there are many statistical measures that can use Companhia historical prices to predict the future Companhia's volatility.Companhia de Tecidos Backtested Returns
We have found three technical indicators for Companhia de Tecidos, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Companhia are completely uncorrelated.
Auto-correlation | 0.69 |
Good predictability
Companhia de Tecidos has good predictability. Overlapping area represents the amount of predictability between Companhia time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th 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 Companhia de Tecidos price movement. The serial correlation of 0.69 indicates that around 69.0% of current Companhia price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Companhia de Tecidos lagged returns against current returns
Autocorrelation, which is Companhia preferred 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 Companhia's preferred stock expected returns. We can calculate the autocorrelation of Companhia returns to help us make a trade decision. For example, suppose you find that Companhia has exhibited high autocorrelation historically, and you observe that the preferred 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 |
Companhia 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 Companhia preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Companhia preferred stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Companhia preferred stock over time.
Current vs Lagged Prices |
| Timeline |
Companhia Lagged Returns
When evaluating Companhia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Companhia preferred stock have on its future price. Companhia 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, Companhia autocorrelation shows the relationship between Companhia preferred stock current value and its past values and can show if there is a momentum factor associated with investing in Companhia de Tecidos.
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 Companhia Preferred Stock Analysis
When running Companhia's price analysis, check to measure Companhia's 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 Companhia is operating at the current time. Most of Companhia's value examination focuses on studying past and present price action to predict the probability of Companhia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Companhia's price. Additionally, you may evaluate how the addition of Companhia to your portfolios can decrease your overall portfolio volatility.