The Aes Stock Market Value
| AES Stock | USD 10.86 0.14 1.31% |
| Symbol | AES |
AES Price To Book Ratio
Is Independent Power and Renewable Electricity Producers space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of AES. If investors know AES will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about AES listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 1.206 | Dividend Share 0.69 | Earnings Share 1.45 | Revenue Per Share | Quarterly Revenue Growth (0.04) |
The market value of AES is measured differently than its book value, which is the value of AES that is recorded on the company's balance sheet. Investors also form their own opinion of AES's value that differs from its market value or its book value, called intrinsic value, which is AES's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because AES's market value can be influenced by many factors that don't directly affect AES's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between AES's value and its price as these two are different measures arrived at by different means. Investors typically determine if AES is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AES's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
AES '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 AES's 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 AES.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in AES on January 28, 2025 and sell it all today you would earn a total of 0.00 from holding The AES or generate 0.0% return on investment in AES over 30 days. AES is related to or competes with Allete, Avista, NorthWestern, Brookfield Infrastructure, Black Hills, Otter Tail, and Companhia Paranaense. The AES Corporation operates as a diversified power generation and utility company More
AES 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 AES's 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 The AES upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 9.76 | |||
| Value At Risk | (4.24) | |||
| Potential Upside | 3.56 |
AES Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AES's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AES's standard deviation. In reality, there are many statistical measures that can use AES historical prices to predict the future AES's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 1.28 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AES's 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.
AES Backtested Returns
AES secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12 % return per unit of standard deviation over the last 3 months. The AES exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AES's Coefficient Of Variation of (701.95), risk adjusted performance of (0.1), and Mean Deviation of 1.68 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.25, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning AES are expected to decrease at a much lower rate. During the bear market, AES is likely to outperform the market. At this point, AES has a negative expected return of -0.26%. Please make sure to confirm AES's skewness, and the relationship between the total risk alpha and day median price , to decide if AES performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
The AES has almost perfect reverse predictability. Overlapping area represents the amount of predictability between AES time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AES price movement. The serial correlation of -0.74 indicates that around 74.0% of current AES price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.74 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
AES lagged returns against current returns
Autocorrelation, which is AES 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 AES's stock expected returns. We can calculate the autocorrelation of AES returns to help us make a trade decision. For example, suppose you find that AES 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 |
AES 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 AES stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AES stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AES stock over time.
Current vs Lagged Prices |
| Timeline |
AES Lagged Returns
When evaluating AES's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AES stock have on its future price. AES 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, AES autocorrelation shows the relationship between AES stock current value and its past values and can show if there is a momentum factor associated with investing in The AES.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Additional Tools for AES Stock Analysis
When running AES's price analysis, check to measure AES'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 AES is operating at the current time. Most of AES's value examination focuses on studying past and present price action to predict the probability of AES's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AES's price. Additionally, you may evaluate how the addition of AES to your portfolios can decrease your overall portfolio volatility.