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Sok-Hyon Kang

Researcher at George Washington University

Publications -  35
Citations -  2902

Sok-Hyon Kang is an academic researcher from George Washington University. The author has contributed to research in topics: Earnings & Executive compensation. The author has an hindex of 20, co-authored 35 publications receiving 2765 citations. Previous affiliations of Sok-Hyon Kang include Yale University & Carnegie Mellon University.

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Investment opportunities and the structure of executive compensation

TL;DR: In this article, the authors extend the contracting paradigm to consider cross-sectional associations between investment opportunities and the sensitivity of CEO compensation to performance measures, and predict stronger associations between compensation and performance for firms with greater investment opportunities.
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Corporate Governance, Takeovers, and Top-Management Compensation: Theory and Evidence

TL;DR: A theoretical framework that explicitly incorporates the B OD as a strategic player, models the negotiation process between the CEO and the BOD in designing CEO compensation, and considers the impact of potential takeovers by large shareholders monitoring the CEO-BOD negotiations is developed.
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Issues in Testing Earnings Management and an Instrumental Variable Approach

TL;DR: In this article, the authors propose a simple method of addressing some of these issues in testing for earnings management in context-specific cases by modeling a specific type of accruals (bad debt expense).
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The effect of accounting procedure changes on CEOs' cash salary and bonus compensation

TL;DR: The authors examined the effect of accounting procedure changes on cash salary and bonus compensation to CEOs and found that the potential compensation effect of the changes is small compared to the effects of economy- or industry-wide changes in compensation.
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Analysts' Interim Earnings Forecasts: Evidence on the Forecasting Process

TL;DR: In this paper, the authors address the question of whether the expectation formation process underlying analyst forecasts is adaptive, or whether these forecasts are influenced by non-informational factors, such as incentives arising from the market for their forecasts.