What is he best known for?
The fields of study he is best known for:
- Finance
- Accounting
- Microeconomics
His scientific interests lie mostly in Incentive, Executive compensation, Equity, Monetary economics and Earnings.
His Incentive research includes themes of Volatility and Stock options.
Corporate governance covers he research in Executive compensation.
His Equity research focuses on subjects like Microeconomics, which are linked to Finance, Restricted stock, Equity capital markets and Remuneration.
His studies in Monetary economics integrate themes in fields like Stock price, Cash flow and Stock market.
Earnings is the subject of his research, which falls under Accounting.
His most cited work include:
- Estimating the Value of Employee Stock Option Portfolios and Their Sensitivities to Price and Volatility (1054 citations)
- The use of equity grants to manage optimal equity incentive levels (1008 citations)
- The sensitivity of CEO wealth to equity risk: an analysis of the magnitude and determinants ☆ (976 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Accounting, Corporate governance, Executive compensation, Incentive and Shareholder.
His biological study spans a wide range of topics, including Information asymmetry and Corporate transparency.
His Corporate governance study incorporates themes from Quality and Labour economics.
His Executive compensation study necessitates a more in-depth grasp of Finance.
His Incentive study combines topics from a wide range of disciplines, such as Stock options, Financial economics, Portfolio and Equity.
Wayne R. Guay has included themes like Microeconomics, Valuation and Corporate finance in his Equity study.
He most often published in these fields:
- Accounting (32.69%)
- Corporate governance (29.81%)
- Executive compensation (27.88%)
What were the highlights of his more recent work (between 2013-2020)?
- Accounting (32.69%)
- Corporate governance (29.81%)
- Executive compensation (27.88%)
In recent papers he was focusing on the following fields of study:
Wayne R. Guay mainly investigates Accounting, Corporate governance, Executive compensation, Shareholder and Corporate transparency.
His work on Financial ratio, Earnings management and Accounting research as part of general Accounting study is frequently connected to Information environment, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Wayne R. Guay's looking at Executive compensation as part of his Incentive and Finance and Executive compensation study.
The Incentive study combines topics in areas such as Cash and Equity.
Wayne R. Guay has included themes like Stock exchange and Transaction cost in his Shareholder study.
As part of one scientific family, Wayne R. Guay deals mainly with the area of Corporate transparency, narrowing it down to issues related to the Information asymmetry, and often Financial intermediary, Management entrenchment, Audit committee, Shares outstanding and Mergers and acquisitions.
Between 2013 and 2020, his most popular works were:
- Guiding Through the Fog: Financial Statement Complexity and Voluntary Disclosure (142 citations)
- Do independent directors cause improvements in firm transparency (137 citations)
- Tax Aggressiveness and Corporate Transparency (77 citations)
In his most recent research, the most cited papers focused on:
- Finance
- Accounting
- Microeconomics
The scientist’s investigation covers issues in Accounting, Information environment, Corporate transparency, Voluntary disclosure and Earnings management.
His work in Accounting addresses issues such as Tax planning, which are connected to fields such as Tax law.
Wayne R. Guay combines subjects such as Market liquidity and Financial statement with his study of Voluntary disclosure.
His Statement of changes in financial position research incorporates elements of Financial analysis, Financial statement analysis and Financial ratio.
His Transparency research overlaps with other disciplines such as Audit committee, Information asymmetry, Corporate governance, Management entrenchment and Shock.
Combining a variety of fields, including Research question, Actuarial science, Psychology, Identification and Context, are what the author presents in his essays.
This overview was generated by a machine learning system which analysed the scientist’s
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