Research Net Debt from 2010 to 2024
| REFR Stock | USD 1.93 0.06 3.21% |
Net Debt | First Reported 1987-12-31 | Previous Quarter -1.7 M | Current Value -1.5 M | Quarterly Volatility 2.8 M |
Check Research Frontiers financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Research Frontiers' main balance sheet or income statement drivers, such as Interest Expense of 53.4 K, Total Revenue of 806.4 K or Other Operating Expenses of 4.3 M, as well as many indicators such as Price To Sales Ratio of 35.29, Dividend Yield of 0.0 or PTB Ratio of 10.42. Research financial statements analysis is a perfect complement when working with Research Frontiers Valuation or Volatility modules.
Research | Net Debt |
Latest Research Frontiers' Net Debt Growth Pattern
Below is the plot of the Net Debt of Research Frontiers Incorporated over the last few years. It is the total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds. Research Frontiers' Net Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Research Frontiers' overall financial position and show how it may be relating to other accounts over time.
| Net Debt | 10 Years Trend |
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Net Debt |
| Timeline |
Research Net Debt Regression Statistics
| Arithmetic Mean | (3,768,939) | |
| Geometric Mean | 3,061,516 | |
| Coefficient Of Variation | (63.91) | |
| Mean Deviation | 1,933,441 | |
| Median | (2,969,416) | |
| Standard Deviation | 2,408,816 | |
| Sample Variance | 5.8T | |
| Range | 8.8M | |
| R-Value | 0.41 | |
| Mean Square Error | 5.2T | |
| R-Squared | 0.17 | |
| Significance | 0.13 | |
| Slope | 220,249 | |
| Total Sum of Squares | 81.2T |
Research Net Debt History
Other Fundumenentals of Research Frontiers
Research Frontiers Net Debt component correlations
Click cells to compare fundamentals
About Research Frontiers Financial Statements
Research Frontiers shareholders use historical fundamental indicators, such as Net Debt, to determine how well the company is positioned to perform in the future. Although Research Frontiers investors may analyze each financial statement separately, they are all interrelated. The changes in Research Frontiers' assets and liabilities, for example, are also reflected in the revenues and expenses on on Research Frontiers' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Net Debt | -2.2 M | -2.3 M | |
| Net Debt To EBITDA | 1.19 | 1.23 |
Pair Trading with Research Frontiers
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 Research Frontiers 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 Research Frontiers will appreciate offsetting losses from the drop in the long position's value.Moving against Research Stock
| 0.43 | T | ATT Inc Sell-off Trend | PairCorr |
| 0.4 | TRV | The Travelers Companies Fiscal Year End 17th of January 2025 | PairCorr |
| 0.38 | IBM | International Business Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.35 | WMT | Walmart Aggressive Push | PairCorr |
| 0.31 | BAC | Bank of America Aggressive Push | PairCorr |
The ability to find closely correlated positions to Research Frontiers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Research Frontiers 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 Research Frontiers - 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 Research Frontiers Incorporated to buy it.
The correlation of Research Frontiers 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 Research Frontiers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Research Frontiers 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 Research Frontiers 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 Research Stock Analysis
When running Research Frontiers' price analysis, check to measure Research Frontiers' 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 Research Frontiers is operating at the current time. Most of Research Frontiers' value examination focuses on studying past and present price action to predict the probability of Research Frontiers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Research Frontiers' price. Additionally, you may evaluate how the addition of Research Frontiers to your portfolios can decrease your overall portfolio volatility.