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변석준 교수

Suk Jun Byun

KAIST 경영공학부 · 경제학

연구실 소개

변석준 교수의 연구실은 주로 행동 금융학과 시장 미스프리시징 이론을 기반으로 한 자산 수익률 예측 및 투자자 행동의 영향을 분석합니다. 특히 과신과 자기 인식 편향이 투자자 의사결정에 미치는 영향을 실증적으로 규명하며, 지속적인 과반응, 변동성 프리미엄, 룩아웃형 주식의 과잉평가 등 다양한 행동적 요인들이 시장 가격과 수익률에 미치는 영향을 탐구합니다. 또한, 실시간 데이터 기반의 변동성 예측 및 옵션 가격 정책 모델링을 통해 금융시장의 비효율성을 해소하고자 하는 실용적 접근도 함께 수행합니다.

행동 금융학수익률 예측과반응변동성 프리미엄투자자 행동

연구 현황

논문 수
63
총 인용 수
895
최근 5년 논문
10
주요 분야
경제학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
10총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
33총합
20212022202320242025

주요 논문

15
1
논문|인용수 311·2013
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
논문|인용수 129·2016
Gambling preference and individual equity option returns
Suk-Joon Byun, Da‐Hea Kim
SJR Q1Journal of Financial Economics
FinanceEconomics, Econometrics and Finance
3
논문|인용수 52·2016
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
논문|인용수 39·2013
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
논문|인용수 36·2020
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
논문|인용수 25·2010
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
논문|인용수 23·2015
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
논문|인용수 18·2011
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
논문|인용수 17·2017
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
논문|인용수 14·2022
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
논문|인용수 8·2011
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
논문|인용수 7·2015
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
논문|인용수 5·2012
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
논문|인용수 5·2023
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
논문|인용수 3·2023
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

대표 연구 분야

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

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