Citicore Energy (Philippines) Analysis
CREIT Stock | 3.17 0.01 0.31% |
Citicore Energy REIT is overvalued with Real Value of 2.9 and Hype Value of 3.17. The main objective of Citicore Energy stock analysis is to determine its intrinsic value, which is an estimate of what Citicore Energy REIT is worth, separate from its market price. There are two main types of Citicore Energy's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Citicore Energy's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Citicore Energy's stock to identify patterns and trends that may indicate its future price movements.
The Citicore Energy 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. Citicore Stock trading window is adjusted to Asia/Manila timezone.
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Citicore Market Capitalization
The company currently falls under 'Large-Cap' category with a current market capitalization of 18.59 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Citicore Energy's market, we take the total number of its shares issued and multiply it by Citicore Energy'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 14th of February 2025, Citicore Energy shows the Downside Deviation of 1.15, risk adjusted performance of 0.0651, and Mean Deviation of 0.6401. Citicore Energy REIT 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.Citicore Energy REIT Price Movement Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Citicore Energy middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Citicore Energy REIT. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Citicore Energy Outstanding Bonds
Citicore Energy 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. Citicore Energy REIT 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 Citicore bonds can be classified according to their maturity, which is the date when Citicore Energy REIT 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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Citicore Energy Predictive Daily Indicators
Citicore Energy 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 Citicore Energy 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.
Citicore Energy Forecast Models
Citicore Energy's time-series forecasting models are one of many Citicore Energy's 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 Citicore Energy's 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 Citicore Energy to your portfolios without increasing risk or reducing expected return.Did you try this?
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Additional Tools for Citicore Stock Analysis
When running Citicore Energy's price analysis, check to measure Citicore Energy'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 Citicore Energy is operating at the current time. Most of Citicore Energy's value examination focuses on studying past and present price action to predict the probability of Citicore Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Citicore Energy's price. Additionally, you may evaluate how the addition of Citicore Energy to your portfolios can decrease your overall portfolio volatility.