Charter Communications (Brazil) Market Value
| CHCM34 Stock | BRL 37.35 0.19 0.51% |
| Symbol | Charter |
Charter Communications '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 Charter Communications' 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 Charter Communications.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Charter Communications on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Charter Communications or generate 0.0% return on investment in Charter Communications over 30 days. Charter Communications is related to or competes with Paycom Software, Unity Software, Ross Stores, Taiwan Semiconductor, Verizon Communications, G2D Investments, and GP Investments. Charter Communications, Inc. operates as a broadband connectivity and cable operator company serving residential and com... More
Charter Communications 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 Charter Communications' 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 Charter Communications upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.92 | |||
| Information Ratio | 0.0622 | |||
| Maximum Drawdown | 17.68 | |||
| Value At Risk | (3.11) | |||
| Potential Upside | 4.23 |
Charter Communications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Charter Communications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Charter Communications' standard deviation. In reality, there are many statistical measures that can use Charter Communications historical prices to predict the future Charter Communications' volatility.| Risk Adjusted Performance | 0.0864 | |||
| Jensen Alpha | 0.2036 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0847 | |||
| Treynor Ratio | 0.4452 |
Charter Communications Backtested Returns
Charter Communications appears to be very steady, given 3 months investment horizon. Charter Communications secures Sharpe Ratio (or Efficiency) of 0.0995, which signifies that the company had a 0.0995% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for Charter Communications, which you can use to evaluate the volatility of the firm. Please makes use of Charter Communications' risk adjusted performance of 0.0864, and Mean Deviation of 1.69 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Charter Communications holds a performance score of 7. The firm shows a Beta (market volatility) of 0.59, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Charter Communications' returns are expected to increase less than the market. However, during the bear market, the loss of holding Charter Communications is expected to be smaller as well. Please check Charter Communications' market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to make a quick decision on whether Charter Communications' price patterns will revert.
Auto-correlation | -0.43 |
Modest reverse predictability
Charter Communications has modest reverse predictability. Overlapping area represents the amount of predictability between Charter Communications time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Charter Communications price movement. The serial correlation of -0.43 indicates that just about 43.0% of current Charter Communications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.56 |
Charter Communications lagged returns against current returns
Autocorrelation, which is Charter Communications 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 Charter Communications' stock expected returns. We can calculate the autocorrelation of Charter Communications returns to help us make a trade decision. For example, suppose you find that Charter Communications 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 |
Charter Communications 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 Charter Communications stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Charter Communications stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Charter Communications stock over time.
Current vs Lagged Prices |
| Timeline |
Charter Communications Lagged Returns
When evaluating Charter Communications' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Charter Communications stock have on its future price. Charter Communications 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, Charter Communications autocorrelation shows the relationship between Charter Communications stock current value and its past values and can show if there is a momentum factor associated with investing in Charter Communications.
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 Charter Stock
When determining whether Charter Communications is a strong investment it is important to analyze Charter Communications' 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 Charter Communications' future performance. For an informed investment choice regarding Charter Stock, refer to the following important reports:Check out Charter Communications Correlation, Charter Communications Volatility and Charter Communications Alpha and Beta module to complement your research on Charter Communications. For information on how to trade Charter Stock refer to our How to Trade Charter Stock guide.You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Charter Communications 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.