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Suk Jun Byun

Korea Advanced Institute of Science and Technology · Economics, Econometrics and Finance

About the Lab

Professor Suk Jun Byun's research lab specializes in asset pricing, behavioral finance, and financial econometrics, with a focus on return predictability, market inefficiencies, and investor sentiment. The lab investigates how behavioral biases—such as overconfidence and self-attribution—impact asset prices and trading strategies, particularly through measures like continuing overreaction and lottery-like stock preferences. It also explores advanced volatility modeling, including variance risk premium and stochastic volatility models, using high-frequency data to improve forecasting accuracy. The lab emphasizes both theoretical modeling and empirical testing using extensive market data from U.S. and international equity, currency, and fixed-income markets.

return predictabilitybehavioral financevolatility modelingvariance risk premiummarket timing

Research Overview

Papers
63
Total Citations
895
Papers (5y)
10
Primary Field
Economics, Econometrics and Finance

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
10total
2021
2022
2023
2024
2025
Citations per year (5y)
33total
20212022202320242025

Selected Papers

15
1
Article|311 citations·2013
Forecasting carbon futures volatility using GARCH models with energy volatilities
Suk Joon Byun, Hangjun Cho
SJR Q1Energy Economics
Economics and EconometricsEconomics, Econometrics and Finance
2
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
3
Article|52 citations·2016
Continuing Overreaction and Stock Return Predictability
Suk Joon Byun, Sonya S. Lim, Sang Hyun Yun
SJR Q1Journal of Financial and Quantitative Analysis

We study the return predictability of a measure of continuing overreaction based on the weighted average of signed volumes. We find that the strategies of buying stocks with upward continuing overreaction and selling stocks with downward continuing overreaction generate significant positive returns and that our measure of continuing overreaction is a better predictor of future returns than past returns. The results are stronger among stocks primarily held by investors more prone to biased self-a

FinanceEconomics, Econometrics and Finance
4
Article|39 citations·2013
The information content of risk-neutral skewness for volatility forecasting
Suk Joon Byun, Jun Sik Kim
SJR Q1Journal of Empirical Finance
FinanceEconomics, Econometrics and Finance
5
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
6
Article|25 citations·2010
Conditional Volatility and the GARCH Option Pricing Model with Non-Normal Innovations
Suk‐Joon Byun, Byungsun Min
SSRN Electronic JournalOA
FinanceEconomics, Econometrics and Finance
7
Article|23 citations·2015
The role of the variance premium in Jump-GARCH option pricing models
Suk Joon Byun, Byoung Hyun Jeon, Byungsun Min, Sun‐Joong Yoon
SJR Q1Journal of Banking & Finance
FinanceEconomics, Econometrics and Finance
8
Article|18 citations·2011
Conditional Volatility and the GARCH Option Pricing Model with Non‐Normal Innovations
Suk Joon Byun, Byungsun Min
SJR Q2Journal of Futures Markets

On the basis of the theory of a wedge between the physical and risk‐neutral conditional volatilities in Christoffersen, P., Elkamhi, R., Feunou, B., & Jacobs, K. (2010), we develop a modification of the GARCH option pricing model with the filtered historical simulation proposed in Barone‐Adesi, G., Engle, R. F., & Mancini, L. (2008). The one‐day‐ahead conditional volatilities under physical and risk‐neutral measures are the same in the previous model, but should have been allowed to be d

FinanceEconomics, Econometrics and Finance
9
Article|17 citations·2017
A comprehensive look at the return predictability of variance risk premia
Suk Joon Byun, Bart Frijns, Tai‐Yong Roh
SJR Q2Journal of Futures Markets

The discrepancy between in‐sample and out‐of‐sample predictability of common predictors for asset returns has been widely discussed in the literature. We examine the out‐of‐sample predictability and its economic significance of Variance risk premium (VRP), which recently has shown empirical success in predicting asset returns in‐sample. Extensive analysis indicates strong out‐of‐sample predictability of the VRP for U.S. stock index, currencies, credit index, and equity portfolios. However, we do

FinanceEconomics, Econometrics and Finance
10
Article|14 citations·2022
Investor sentiment and the MAX effect: evidence from Korea
Suk‐Joon Byun, Byounghyun Jeon, Donghoon Kim
SJR Q2Applied Economics

Stocks with extreme positive returns underperform the market since they are overpriced due to investors’ preference towards lottery-like stocks, stocks with a low probability of an extremely high payoff. Using data from the South Korean stock market, we show that the underperformance of such stocks is pronounced following periods of low investor sentiment. This suggests that low investor sentiment coincides with economic downturn when stocks with extreme positive returns experience increased sal

FinanceEconomics, Econometrics and Finance
11
Article|8 citations·2011
Intraday volatility forecasting from implied volatility
Suk Joon Byun, Dong Woo Rhee, Sol Kim
SJR Q2International Journal of Managerial Finance

Purpose The purpose of this paper is to examine whether the superiority of the implied volatility from a stochastic volatility model over the implied volatility from the Black and Scholes model on the forecasting performance of future realized volatility still holds when intraday data are analyzed. Design/methodology/approach Two implied volatilities and a realized volatility on KOSPI200 index options are estimated every hour. The grander causality tests between an implied volatility and a reali

FinanceEconomics, Econometrics and Finance
12
Article|7 citations·2015
Volatility risk premium in the interest rate market: Evidence from delta-hedged gains on USD interest rate swaps
Suk Joon Byun, Ki Cheon Chang
SJR Q1International Review of Financial Analysis
FinanceEconomics, Econometrics and Finance
13
Article|5 citations·2012
Investor Continuing Overreaction and the Cross-Section of Stock Returns
Suk‐Joon Byun, Sonya S. Lim, Sang Hyun Yun
SSRN Electronic JournalOA
FinanceEconomics, Econometrics and Finance
14
Article|5 citations·2023
Momentum Crashes and the 52-Week High
Suk‐Joon Byun, Byounghyun Jeon
SJR Q1Financial Analysts Journal

Momentum strategies suffer from occasional large drawdowns referred to as momentum crashes when the market rebounds. We find that a surge of investor speculation toward stocks far from their 52-week highs can partially explain the momentum crashes. If a momentum strategy is revised to be neutral on a 52-week high effect, momentum crashes are significantly attenuated and the revised strategy does not exhibit procyclical returns. Furthermore, the revised strategy generates a higher Sharpe ratio in

FinanceEconomics, Econometrics and Finance
15
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

Research Areas

FinanceEconomics and EconometricsAccountingGeneral Economics, Econometrics and FinanceManagement Science and Operations ResearchIndustrial and Manufacturing Engineering

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