Silicon Power (Taiwan) Analysis
| 4973 Stock | TWD 30.80 0.80 2.53% |
Silicon Power Computer is fairly valued with Real Value of 32.08 and Hype Value of 31.6. The main objective of Silicon Power stock analysis is to determine its intrinsic value, which is an estimate of what Silicon Power Computer is worth, separate from its market price. There are two main types of Silicon Power's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Silicon Power's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Silicon Power's stock to identify patterns and trends that may indicate its future price movements.
The Silicon Power stock is traded in Taiwan on Taiwan OTC Exchange, with the market opening at 09:00:00 and closing at 13:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Taiwan. Silicon Power is usually not traded on No Trading . Market opens only for Clearing & Settlement 2, Adjusted Holiday / Chinese New Year 's Eve, Chinese New Year 's Eve, Chinese New Year, Dragon Boat Festival, National Day of the Republic of China, Chinese New Year 2, Chinese New Year 3, Adjusted Holiday 1, Adjusted Holiday 2, Mid - autumn / Moon Festival. Silicon Stock trading window is adjusted to Asia/Taipei timezone.
Silicon |
Silicon Stock Analysis Notes
About 30.0% of the company shares are owned by insiders or employees . The company has Price-to-Book (P/B) ratio of 0.83. In the past many companies with similar price-to-book ratios have beat the market. Silicon Power Computer last dividend was issued on the 14th of April 2022. The entity had 1:1 split on the 24th of May 2012. For more info on Silicon Power Computer please contact the company at 886 2 8797 8833 or go to https://www.silicon-power.com.Silicon Power Computer Investment Alerts
| Silicon Power generated a negative expected return over the last 90 days | |
| Silicon Power has high likelihood to experience some financial distress in the next 2 years | |
| Silicon Power generates negative cash flow from operations | |
| About 30.0% of the company shares are owned by insiders or employees |
Silicon Power Thematic Classifications
In addition to having Silicon Power stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | SyntheticsSynthetics production and silicon | |
 | ISPInternet Service Providers |
Silicon Market Capitalization
The company currently falls under 'Mid-Cap' category with a current market capitalization of 1.43 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Silicon Power's market, we take the total number of its shares issued and multiply it by Silicon Power'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.Silicon Profitablity
Silicon Power's profitability indicators refer to fundamental financial ratios that showcase Silicon Power's ability to generate income relative to its revenue or operating costs. If, let's say, Silicon Power is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Silicon Power's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Silicon Power's profitability requires more research than a typical breakdown of Silicon Power's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of 0.03 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Technical Drivers
As of the 13th of December 2024, Silicon Power has the Semi Deviation of 1.35, coefficient of variation of 7210.38, and Risk Adjusted Performance of 0.0156. Silicon Power technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Silicon Power Computer coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if Silicon Power is priced more or less accurately, providing market reflects its prevalent price of 30.8 per share.Silicon Power Computer Price Movement Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Silicon Power 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 Silicon Power Computer. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Silicon Power Outstanding Bonds
Silicon Power 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. Silicon Power Computer 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 Silicon bonds can be classified according to their maturity, which is the date when Silicon Power Computer 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.
| Dana 575 percent Corp BondUS235822AB96 | View | |
| Volcan Compania Minera Corp BondUSP98047AC08 | View | |
| Boeing Co 2196 Corp BondUS097023DG73 | View | |
| HSBC Holdings PLC Corp BondUS404280DR76 | View | |
| MPLX LP 4875 Corp BondUS55336VAG59 | View | |
| MPLX LP 4125 Corp BondUS55336VAK61 | View | |
| MPLX LP 52 Corp BondUS55336VAL45 | View | |
| International Game Technology Corp BondUS460599AD57 | View |
Silicon Power Predictive Daily Indicators
Silicon Power 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 Silicon Power 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 | 6273.14 | |||
| Daily Balance Of Power | (1.00) | |||
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 31.2 | |||
| Day Typical Price | 31.07 | |||
| Price Action Indicator | (0.80) | |||
| Period Momentum Indicator | (0.80) |
Silicon Power Forecast Models
Silicon Power's time-series forecasting models are one of many Silicon Power'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 Silicon Power'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 Silicon Power to your portfolios without increasing risk or reducing expected return.Did you try this?
Run Portfolio Backtesting Now
Portfolio BacktestingAvoid under-diversification and over-optimization by backtesting your portfolios |
| All Next | Launch Module |
Additional Tools for Silicon Stock Analysis
When running Silicon Power's price analysis, check to measure Silicon Power'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 Silicon Power is operating at the current time. Most of Silicon Power's value examination focuses on studying past and present price action to predict the probability of Silicon Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silicon Power's price. Additionally, you may evaluate how the addition of Silicon Power to your portfolios can decrease your overall portfolio volatility.