Financial Strategies Acquisition Stock Debt To Equity
Financial Strategies Acquisition fundamentals help investors to digest information that contributes to Financial Strategies' financial success or failures. It also enables traders to predict the movement of Financial Stock. The fundamental analysis module provides a way to measure Financial Strategies' 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 Financial Strategies stock.
Financial |
Financial Strategies Acquisition Company Debt To Equity Analysis
Financial Strategies' Debt to Equity is calculated by dividing the Total Debt of a company by its Equity. If the debt exceeds equity of a company, then the creditors have more stakes in a firm than the stockholders. In other words, Debt to Equity ratio provides analysts with insights about composition of both equity and debt, and its influence on the valuation of the company.
High Debt to Equity ratio typically indicates that a firm has been borrowing aggressively to finance its growth and as a result may experience a burden of additional interest expense. This may reduce earnings or future growth. On the other hand a small D/E ratio may indicate that a company is not taking enough advantage from financial leverage. Debt to Equity ratio measures how the company is leveraging borrowing against the capital invested by the owners.
CompetitionAccording to the company disclosure, Financial Strategies Acquisition has a Debt To Equity of 0.0%. This indicator is about the same for the Financial Services average (which is currently at 0.0) sector and about the same as Financials (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
Did you try this?
Run Latest Portfolios Now
Latest PortfoliosQuick portfolio dashboard that showcases your latest portfolios |
All Next | Launch Module |
Financial Fundamentals
Number Of Shares Shorted | 9.54 K | |||
Net Income | 1.39 M | |||
Total Debt | 450 K | |||
Current Ratio | 0.66 X | |||
Book Value Per Share | (0.08) X | |||
Cash Flow From Operations | (844.22 K) | |||
Earnings Per Share | (0.01) X | |||
Beta | -0.008 | |||
Total Asset | 102.24 M | |||
Retained Earnings | 1.39 M | |||
Z Score | 0.02 | |||
Net Asset | 102.24 M |
Pair Trading with Financial Strategies
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 Financial Strategies 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 Financial Strategies will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft 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 Microsoft - 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 Microsoft to buy it.
The correlation of Microsoft 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 Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft 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 Microsoft 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.Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Other Consideration for investing in Financial Stock
If you are still planning to invest in Financial Strategies check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Financial Strategies' history and understand the potential risks before investing.
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |