Colgate Palmolive (Pakistan) Analysis
| COLG Stock | 1,459 12.33 0.85% |
Colgate Palmolive Pakistan is undervalued with Real Value of 1639.27 and Hype Value of 1458.68. The main objective of Colgate Palmolive stock analysis is to determine its intrinsic value, which is an estimate of what Colgate Palmolive Pakistan is worth, separate from its market price. There are two main types of Colgate Palmolive's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Colgate Palmolive's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Colgate Palmolive's stock to identify patterns and trends that may indicate its future price movements.
The Colgate Palmolive stock is traded in Pakistan on Karachi 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 Pakistan. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Colgate Palmolive's ongoing operational relationships across important fundamental and technical indicators.
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Colgate Stock Analysis Notes
The company had not issued any dividends in recent years. Colgate Palmolive had 1:2 split on the 8th of June 2023.Technical Drivers
As of the 29th of November, Colgate Palmolive shows the Mean Deviation of 1.31, downside deviation of 1.19, and Risk Adjusted Performance of 0.1781. Colgate Palmolive 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.Colgate Palmolive Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Colgate Palmolive 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 Colgate Palmolive. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Colgate Palmolive Outstanding Bonds
Colgate Palmolive 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. Colgate Palmolive 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 Colgate bonds can be classified according to their maturity, which is the date when Colgate Palmolive Pakistan 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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Colgate Palmolive Predictive Daily Indicators
Colgate Palmolive 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 Colgate Palmolive 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.
| Accumulation Distribution | 0.0102 | |||
| Daily Balance Of Power | 0.8247 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 1457.48 | |||
| Day Typical Price | 1457.88 | |||
| Market Facilitation Index | 14.95 | |||
| Price Action Indicator | 7.37 | |||
| Period Momentum Indicator | 12.33 |
Colgate Palmolive Forecast Models
Colgate Palmolive's time-series forecasting models are one of many Colgate Palmolive'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 Colgate Palmolive'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 Colgate Palmolive to your portfolios without increasing risk or reducing expected return.Did you try this?
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Complementary Tools for Colgate Stock analysis
When running Colgate Palmolive's price analysis, check to measure Colgate Palmolive'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 Colgate Palmolive is operating at the current time. Most of Colgate Palmolive's value examination focuses on studying past and present price action to predict the probability of Colgate Palmolive's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Colgate Palmolive's price. Additionally, you may evaluate how the addition of Colgate Palmolive to your portfolios can decrease your overall portfolio volatility.
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