What is he best known for?
The fields of study he is best known for:
William H. Beaver mainly investigates Financial economics, Econometrics, Earnings, Book value and Valuation.
William H. Beaver combines subjects such as Accounting earnings, Post-earnings-announcement drift and Earnings response coefficient with his study of Financial economics.
His work carried out in the field of Econometrics brings together such families of science as Actuarial science and Market value.
The Earnings study combines topics in areas such as Systematic risk and Corporate finance.
The various areas that William H. Beaver examines in his Book value study include Return on equity and Net asset value.
His Valuation research is multidisciplinary, incorporating perspectives in Equity and Accrual.
His most cited work include:
- Financial Ratios As Predictors Of Failure (2861 citations)
- The relevance of the value relevance literature for financial accounting standard setting: another view $ (1098 citations)
- Relative valuation roles of equity book value and net income as a function of financial health (716 citations)
What are the main themes of his work throughout his whole career to date?
William H. Beaver focuses on Earnings, Econometrics, Actuarial science, Financial economics and Accounting.
His Earnings study incorporates themes from Corporate finance, Equity and Monetary economics.
His research in Equity intersects with topics in Valuation and Market value.
His Econometrics research is multidisciplinary, incorporating elements of Estimation and Capital market.
His Actuarial science research includes themes of Bankruptcy and Financial ratio.
His Financial economics study combines topics from a wide range of disciplines, such as Post-earnings-announcement drift, Earnings response coefficient and Currency.
He most often published in these fields:
- Earnings (46.67%)
- Econometrics (28.89%)
- Actuarial science (27.78%)
What were the highlights of his more recent work (between 2013-2020)?
- Earnings (46.67%)
- Accounting (18.89%)
- Return volatility (5.56%)
In recent papers he was focusing on the following fields of study:
His main research concerns Earnings, Accounting, Return volatility, Capital market and Monetary economics.
His work on Earnings response coefficient as part of his general Earnings study is frequently connected to Financial statement, thereby bridging the divide between different branches of science.
As a part of the same scientific family, he mostly works in the field of Earnings response coefficient, focusing on Econometrics and, on occasion, Financial economics.
His Monetary economics research integrates issues from Bankruptcy and Credit risk.
His studies deal with areas such as Actuarial science, Transparency and Liability as well as Default.
William H. Beaver has included themes like Accounting information system and Market price in his Actuarial science study.
Between 2013 and 2020, his most popular works were:
- The Association Between Market Determined and Accounting Determined Risk Measures (132 citations)
- The information content of earnings announcements: new insights from intertemporal and cross-sectional behavior (21 citations)
- The effects of credit default swap trading on information asymmetry in syndicated loans (21 citations)
In his most recent research, the most cited papers focused on:
William H. Beaver mostly deals with Return volatility, Earnings, Capital market, Financial statement and Cross-collateralization.
His study in Return volatility is interdisciplinary in nature, drawing from both Market reaction, Corporate finance and Monetary economics.
His research integrates issues of Stock price and Demographic economics in his study of Earnings.
Financial statement is integrated with Market price, Empirical evidence, Modern portfolio theory, Actuarial science and Premise in his research.
His research investigates the connection with Cross-collateralization and areas like Financial system which intersect with concerns in Credit default swap.
His biological study spans a wide range of topics, including Information asymmetry and Transparency.
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