Materials Analysis Return On Equity vs. Total Debt
3587 Stock | TWD 256.00 2.00 0.79% |
For Materials Analysis profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Materials Analysis to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Materials Analysis Technology utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Materials Analysis's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Materials Analysis Technology over time as well as its relative position and ranking within its peers.
Materials |
Materials Analysis Total Debt vs. Return On Equity Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining Materials Analysis's current stock value. Our valuation model uses many indicators to compare Materials Analysis value to that of its competitors to determine the firm's financial worth. Materials Analysis Technology is number one stock in return on equity category among its peers. It also is the top company in total debt category among its peers making up about 4,676,140,162 of Total Debt per Return On Equity. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Materials Analysis' earnings, one of the primary drivers of an investment's value.Materials Total Debt vs. Return On Equity
Return on Equity or ROE tells company stockholders how effectually their money is being utilized or reinvested. It is a useful ratio when analyzing company profitability or the management effectiveness given the capital invested by the shareholders. ROE shows how efficiently a company utilizes investments to generate income.
Materials Analysis |
| = | 0.19 |
For most industries, Return on Equity between 10% and 30% are considered desirable to provide dividends to owners and have funds for the future growth of the company. Investors should be very careful using ROE as the only efficiency indicator because ROE can be high if a company is heavily leveraged.
Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.
Materials Analysis |
| = | 867.42 M |
In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
Materials Total Debt vs Competition
Materials Analysis Technology is the top company in total debt category among its peers. Total debt of Scientific & Technical Instruments industry is presently estimated at about 35.7 Billion. Materials Analysis holds roughly 867.42 Million in total debt claiming about 2.43% of equities listed under Scientific & Technical Instruments industry.
Materials Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Materials Analysis. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of Materials Analysis position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the Materials Analysis' important profitability drivers and their relationship over time.
Use Materials Analysis in pair-trading
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 Materials Analysis 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 Materials Analysis will appreciate offsetting losses from the drop in the long position's value.Materials Analysis Pair Trading
Materials Analysis Technology Pair Trading Analysis
The ability to find closely correlated positions to Materials Analysis could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Materials Analysis 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 Materials Analysis - 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 Materials Analysis Technology to buy it.
The correlation of Materials Analysis 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 Materials Analysis moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Materials Analysis 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 Materials Analysis 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.Use Investing Themes to Complement your Materials Analysis position
In addition to having Materials Analysis in your portfolios, you can quickly 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 investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
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Additional Tools for Materials Stock Analysis
When running Materials Analysis' price analysis, check to measure Materials Analysis' 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 Materials Analysis is operating at the current time. Most of Materials Analysis' value examination focuses on studying past and present price action to predict the probability of Materials Analysis' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Materials Analysis' price. Additionally, you may evaluate how the addition of Materials Analysis to your portfolios can decrease your overall portfolio volatility.