AyalaLand Logistics (Philippines) Analysis
| ALLHC Stock | 1.43 0.02 1.38% |
AyalaLand Logistics Holdings is fairly valued with Real Value of 1.45 and Hype Value of 1.43. The main objective of AyalaLand Logistics stock analysis is to determine its intrinsic value, which is an estimate of what AyalaLand Logistics Holdings is worth, separate from its market price. There are two main types of AyalaLand Logistics' stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect AyalaLand Logistics' performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of AyalaLand Logistics' stock to identify patterns and trends that may indicate its future price movements.
The AyalaLand Logistics stock is traded in Philippines on Philippine Stock Exchange, with the market opening at 09:30:00 and closing at 15:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Philippines. AyalaLand Stock trading window is adjusted to Asia/Manila timezone.
AyalaLand |
AyalaLand Logistics Investment Alerts
| AyalaLand Logistics may become a speculative penny stock | |
| AyalaLand Logistics generates negative cash flow from operations |
AyalaLand Market Capitalization
The company currently falls under 'Large-Cap' category with a current market capitalization of 26.63 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate AyalaLand Logistics's market, we take the total number of its shares issued and multiply it by AyalaLand Logistics's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Technical Drivers
As of the 20th of July, AyalaLand Logistics shows the mean deviation of 1.46, and Risk Adjusted Performance of (0.01). AyalaLand Logistics technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.AyalaLand Logistics Price Movement Analysis
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Simple Moving Average indicator is calculated by adding the closing price of AyalaLand Logistics for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out AyalaLand Logistics short-term fluctuations and highlight longer-term trends or cycles.
AyalaLand Logistics Outstanding Bonds
AyalaLand Logistics issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. AyalaLand Logistics uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most AyalaLand bonds can be classified according to their maturity, which is the date when AyalaLand Logistics Holdings has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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AyalaLand Logistics Predictive Daily Indicators
AyalaLand Logistics intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of AyalaLand Logistics stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
AyalaLand Logistics Forecast Models
AyalaLand Logistics' time-series forecasting models are one of many AyalaLand Logistics' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary AyalaLand Logistics' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding AyalaLand Logistics to your portfolios without increasing risk or reducing expected return.Did you try this?
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Additional Tools for AyalaLand Stock Analysis
When running AyalaLand Logistics' price analysis, check to measure AyalaLand Logistics' 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 AyalaLand Logistics is operating at the current time. Most of AyalaLand Logistics' value examination focuses on studying past and present price action to predict the probability of AyalaLand Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AyalaLand Logistics' price. Additionally, you may evaluate how the addition of AyalaLand Logistics to your portfolios can decrease your overall portfolio volatility.