Silicon Power Computer Stock Filter Stocks by Fundamentals
| 4973 Stock | TWD 33.45 0.35 1.06% |
Silicon Power Computer fundamentals help investors to digest information that contributes to Silicon Power's financial success or failures. It also enables traders to predict the movement of Silicon Stock. The fundamental analysis module provides a way to measure Silicon Power's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Silicon Power stock.
Silicon |
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Silicon Fundamentals
| Return On Equity | 0.0698 | |||
| Return On Asset | -2.0E-4 | |||
| Profit Margin | 0.03 % | |||
| Operating Margin | (0.0002) % | |||
| Current Valuation | 1.57 B | |||
| Shares Outstanding | 63.21 M | |||
| Shares Owned By Insiders | 29.76 % | |||
| Shares Owned By Institutions | 0.03 % | |||
| Price To Book | 0.83 X | |||
| Price To Sales | 0.35 X | |||
| Revenue | 4.19 B | |||
| Gross Profit | 487.81 M | |||
| EBITDA | 59.23 M | |||
| Net Income | 22.52 M | |||
| Book Value Per Share | 29.20 X | |||
| Cash Flow From Operations | (318.26 M) | |||
| Earnings Per Share | 2.09 X | |||
| Number Of Employees | 15 | |||
| Beta | 0.66 | |||
| Market Capitalization | 1.43 B | |||
| Total Asset | 3.26 B | |||
| Z Score | 1.0 | |||
| Annual Yield | 0.04 % | |||
| Net Asset | 3.26 B | |||
| Last Dividend Paid | 1.0 |
About Silicon Power Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Silicon Power Computer's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Silicon Power using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Silicon Power Computer based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Silicon Power
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Silicon Power position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Silicon Power will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Silicon Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Silicon Power when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Silicon Power - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Silicon Power Computer to buy it.
The correlation of Silicon Power is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Silicon Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Silicon Power Computer moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Silicon Power can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.