S

S. Ghon Rhee

Sungkyunkwan University

ORCID: 0000-0002-8229-2961

Publishes on Corporate Finance and Governance, Financial Markets and Investment Strategies, Banking stability, regulation, efficiency. 155 papers and 5.4k citations.

155Publications
5.4kTotal Citations

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Top publicationsby citations

Return Reversals, Idiosyncratic Risk, and Expected Returns
Wei Huang, Qianqiu Liu, S. Ghon Rhee et al.|Review of Financial Studies|2009
Cited by 372

The empirical evidence on the cross-sectional relation between idiosyncratic risk and expected stock returns is mixed. We demonstrate that the omission of the previous month's stock returns can lead to a negatively biased estimate of the relation. The magnitude of the omitted variable bias depends on the approach to estimating the conditional idiosyncratic volatility. Although a negative relation exists when the estimate is based on daily returns, it disappears after return reversals are controlled for. Return reversals can explain both the negative relation between value-weighted portfolio returns and idiosyncratic volatility and the insignificant relation between equal-weighted portfolio returns and idiosyncratic volatility. In contrast, there is a significantly positive relation between the conditional idiosyncratic volatility estimated from monthly data and expected returns. This relation remains robust after controlling for return reversals. The Author 2009. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org., Oxford University Press.

Price Limit Performance: Evidence from the Tokyo Stock Exchange
Kenneth A. Kim, S. Ghon Rhee|The Journal of Finance|1997
Cited by 367

ABSTRACT Price limit advocates claim that price limits decrease stock price volatility, counter overreaction, and do not interfere with trading activity. Conversely, price limit critics claim that price limits cause higher volatility levels on subsequent days (volatility spillover hypothesis), prevent prices from efficiently reaching their equilibrium level (delayed price discovery hypothesis), and interfere with trading due to limitations imposed by price limits (trading interference hypothesis). Empirical research does not provide conclusive support for either positions. We examine the Tokyo Stock Exchange price limit system to test these hypotheses. Our evidence supports all three hypotheses suggesting that price limits may be ineffective.