Princeton Adaptive Premium Fund Debt To Equity
| PAPIX Fund | USD 10.12 0.01 0.1% |
Princeton Adaptive Premium fundamentals help investors to digest information that contributes to Princeton Adaptive's financial success or failures. It also enables traders to predict the movement of Princeton Mutual Fund. The fundamental analysis module provides a way to measure Princeton Adaptive'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 Princeton Adaptive mutual fund.
Princeton |
Princeton Adaptive Premium Mutual Fund Debt To Equity Analysis
Princeton Adaptive's 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.
| Competition |
According to the company disclosure, Princeton Adaptive Premium has a Debt To Equity of 0.0%. This indicator is about the same for the Princeton average (which is currently at 0.0) family and about the same as Options Trading (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).
Did you try this?
Run Idea Analyzer Now
Idea AnalyzerAnalyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas |
| All Next | Launch Module |
Princeton Fundamentals
About Princeton Adaptive Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Princeton Adaptive Premium's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Princeton Adaptive using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Princeton Adaptive Premium based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, 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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Princeton Mutual Fund
Princeton Adaptive financial ratios help investors to determine whether Princeton Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Princeton with respect to the benefits of owning Princeton Adaptive security.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |