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Da-hea Kim

Sungkyunkwan University · 経済学

研究室紹介

Professor Da-hea Kim's research lab specializes in asset pricing, market microstructure, and investor sentiment, with a focus on how sentiment and informed trading in options and equity markets affect stock return predictability and risk-return trade-offs. The lab investigates the interplay between retail and institutional trading behavior, option market dynamics, and volatility risk premiums, using high-frequency and unique transaction-level data from emerging and developed markets. A key research direction involves analyzing the cross-sectional implications of options trading across strikes and maturities, particularly through the lens of implied volatility term structures and volatility smirk. The lab also explores how information asymmetry and market inefficiencies manifest in derivative markets and propagate to underlying equities.

investor sentimentoptions marketreturn predictabilityvolatility risk premiummarket microstructure

Research Overview

Papers
14
Total Citations
225
Papers (5y)
9
Primary Field
経済学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
9total
2019
2020
2022
2023
2025
Citations per year (5y)
44total
20192020202220232025

Selected Papers

14
1
Article|129 citations·2016
Gambling preference and individual equity option returns
Suk-Joon Byun, Da‐Hea Kim
SJR Q1Journal of Financial Economics
FinanceEconomics, Econometrics and Finance
2
Article|36 citations·2020
The role of psychological barriers in lottery-related anomalies
Suk-Joon Byun, Jihoon Goh, Da‐Hea Kim
SJR Q1Journal of Banking & Finance
FinanceEconomics, Econometrics and Finance
3
Article|30 citations·2016
Investor Sentiment and Return Predictability of the Option to Stock Volume Ratio
Jun Sik Kim, Da‐Hea Kim, Sung Won Seo
SJR Q1Financial Management

We study the effect of investor sentiment on the relation between the option to stock volume ratio (O/S) and future stock returns. Relative option volume has return predictability under short sale constraints. For this reason, we expect and find a stronger O/S‐return relation during high sentiment periods than during low sentiment periods. We find that Baker and Wurgler's Investor Sentiment Index affects the O/S‐return relation after controlling for consumer sentiment indices and economic enviro

FinanceEconomics, Econometrics and Finance
4
Article|14 citations·2017
INDIVIDUAL MEAN-VARIANCE RELATION AND STOCK-LEVEL INVESTOR SENTIMENT
Jun Sik Kim, Da‐Hea Kim, Sung Won Seo
SJR Q2Journal of Business Economics and ManagementOA

This research studies the effect of stock-level investor sentiment on individual stock returns’ mean-variance relation. Using unique buy and sell volume data of retail investors in Korean stock market, we find that a positive mean-variance relation is undermined among high-sentiment stocks, but holds among low-sentiment stocks. We adopt buy-sell imbalances of retail investors for individual stocks as a measure of stock-level investor sentiment. Further, our findings provide empirical evidence of

FinanceEconomics, Econometrics and Finance
5
Article|8 citations·2017
Informed Trading in the Options Market and Stock Return Predictability
JoongHo Han, Da‐Hea Kim, Suk‐Joon Byun
SJR Q2Journal of Futures Markets

Previous research highlights the importance of two distinct types of informed trading in the options market: trading on the price direction of underlying stocks, and trading on their uncertainty. Surprisingly, however, the studies considering these in a unified framework are scant.This study attempts to fill the gap. We predict that when both directional and volatility information could motivateoptions trading, the return predictability of options volume hinges onthe shape of the volatility smir

FinanceEconomics, Econometrics and Finance
6
Article|3 citations·2023
Can a machine learn from behavioral biases? Evidence from stock return predictability of deep learning models
Suk‐Joon Byun, Sangheum Cho, Da‐Hea Kim
SJR Q1Journal of Behavioral and Experimental Finance
FinanceEconomics, Econometrics and Finance
7
Article|3 citations·2019
Informed options trading on the implied volatility surface: A cross‐sectional approach
Baeho Kim, Da‐Hea Kim, Haehean Park
SJR Q2Journal of Futures Markets

Abstract This study investigates the cross‐sectional implication of informed options trading across different strikes and maturities. We explore the term structure perspective of the one‐way information transmission from options markets to stock markets by adopting well‐known option‐implied volatility measures to examine stock return predictability. Using equity options data for U.S. listed stocks spanning 2000–2013, we find that the shape of the long‐term implied volatility curve exhibits extra

FinanceEconomics, Econometrics and Finance
8
Article|1 citations·2020
Learning about Uncertainty from Options Trading
Da‐Hea Kim, Sie Ting Lau, Bohui Zhang
SSRN Electronic JournalOA
FinanceEconomics, Econometrics and Finance
9
Article|1 citations·2022
Can a Machine Learn from Behavioral Biases? Evidence from Stock Return Predictability of Deep Learning Models
Suk Joon Byun, Sangheum Cho, Da‐Hea Kim
SSRN Electronic JournalOA
FinanceEconomics, Econometrics and Finance
10
Article|0 citations·2016
Delta-Hedged Gains and Risk-Neutral Moments
Da‐Hea Kim, Sol Kim
SSRN Electronic JournalOA

We investigate the well-documented underperformance of delta-hedged option portfolios in relation to ex ante moments of the stock market's return distribution. Using a sample of Standard and Poor's 500 index options, we find that delta-hedged option gains decrease with ex ante volatility, in support of a negative volatility risk premium. Moreover, the delta-hedged gains are negatively associated with skewness and kurtosis of call options, but positively associated with the higher moments of put

FinanceEconomics, Econometrics and Finance
11
Article|0 citations·2025
Self-supervised risk factor model using dual Recurrent State Space Models
Ji-hun Lee, Seungjun Oh, Jong-Chan Park, Da‐Hea Kim, Yusung Kim
SJR Q1Knowledge-Based Systems
FinanceEconomics, Econometrics and Finance
12
Article|0 citations·2022
Cash Flow Duration and M&A Activity
Sudheer Chava, Da‐Hea Kim, Heungju Park
SSRN Electronic JournalOA
FinanceEconomics, Econometrics and Finance
13
Article|0 citations·2023
Can a Machine Learn from Behavioral Biases? Evidence from Stock Return Predictability of Deep Learning Models
SukJoon Byun, Sangheum Cho, Da‐Hea Kim
SSRN Electronic JournalOA
Management Science and Operations ResearchDecision Sciences
14
Article|0 citations·2023
Kennedy’s Disease with Chronic Low Back Pain and Muscle Weakness
김재연, 박영숙, 장현정, 박진기, 조은솔, 김다혜, 이정환, 김세진

Kennedy’s disease (KD) or bulbospinal muscular atrophy is an uncommon x-linked recessive genetic disorder. Its diagnosis is challenging due to its wide array of clinical manifestations and difficulty distinguishing it from other motor neuron diseases. Thus, diagnosis is confirmed through DNA testing. 52-year-old male patient presented to the hospital with chronic low back pain (LBP) and muscle weakness. The patient had mild weakness in some proximal muscles, increased deep tendon reflex. Lumbar

Research Areas

FinanceManagement Science and Operations Research

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