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Dongcheol Kim

Researcher at Korea University

Publications -  65
Citations -  2038

Dongcheol Kim is an academic researcher from Korea University. The author has contributed to research in topics: Capital asset pricing model & Volatility (finance). The author has an hindex of 22, co-authored 65 publications receiving 1924 citations. Previous affiliations of Dongcheol Kim include Rutgers University.

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Alternative Models for the Conditional Heteroscedasticity of Stock Returns

TL;DR: In this article, the authors compared econometric model specifications that have been proposed to explain the commonly observed characteristics of the unconditional distribution of daily stock returns, and found that the most likely ranking is (1) intertemporal dependence models, (2) Student t, (3) generalized mixture-of-normal distributions, (4) Poisson jump, and (5) the stationary normal.
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The Errors in the Variables Problem in the Cross‐Section of Expected Stock Returns

Dongcheol Kim
- 01 Dec 1995 - 
TL;DR: In this paper, the authors provide a new correction for the EIV problem that is robust to conditional heteroscedasticity and find more support for the role of market beta and less support for firm size in explaining the cross-section of expected returns.
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Investor Sentiment from Internet Message Postings and Predictability of Stock Returns

TL;DR: This paper examined whether investor sentiment as expressed in posted messages has predictive power for stock returns, volatility, and trading volume, and found no evidence that investor sentiment forecasts future stock returns either at the aggregate or at individual firm level.
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Accruals Quality, Stock Returns, and Macroeconomic Conditions

TL;DR: In this paper, the authors examine whether and how earnings quality, measured as accruals quality (AQ), affects the cost of equity capital and find that the AQ risk factor is significantly priced, after controlling for low-priced stocks.
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Market valuation of joint ventures: Joint venture characteristics and wealth gains

TL;DR: In this article, the authors apply the event study method to assess stockholders' risk-adjusted wealth gains and a cross-sectional analysis based on a generalized least-squares model to test the hypotheses.