Yerim Kim

Yerim Kim

I am a first-year Ph.D. student in Finance at Korea University, advised by Professors Baeho Kim and Thummim Cho. My research focuses on market making and risk management. [cv]
 Contact
Notice
Korea-Japan Joint Symposium on Statistics and Data Science 2024
Korea Finance Association Conference 2024
Best Paper Award at the 2024 Korea Finance Association Conference
Korea Finance Association & Kiwoom Securities Scholarship

 About Me

My research goal is to investigate the market impact of high-frequency trading and to develop risk measures that capture tail risk. I majored in management and financial engineering during my undergraduate studies and in computer science for my master’s. I also worked as a market maker at Korea Investment & Securities, specializing in market making, derivative securities, data analysis, machine learning and deep learning.

 Research Interests

Market Microstructure | Market Making | High Frequency Trading | Machine Learning / Deep Learning | Financial Engineering | Derivative Securities | Optimization | Risk Management

 Education

Korea University Ph.D in Finance Mar 2024 - | Seoul, Republic of Korea Market Microstructure • Market Making • Risk Management • Econometrics • AI
Korea University MEng in Computer Science Mar 2021 - Feb 2023 | Seoul, Republic of Korea AI • Computer Vision • Programming • Financial Theory • Options and Futures
Korea University BS in Business BS in Financial Engineering Mar 2015 - Feb 2019 | Seoul, Republic of Korea Derivatives • Time Series • Linear Algebra • Mathematical Analysis • Econometrics
Hong Kong University of Science and Technology Business school Feb 2017 - May 2017 | Hong Kong

 Work Experience

Information System Security Lab [website] Master student | Researcher Jan 2021- May 2023 | Seoul, Korea
Korea Investment & Securities [website] Market Maker Dec 2018- Dec 2020 | Seoul, Korea
Prudential [website] Intern Sep 2018 - Nov 2018 | Seoul, Korea

 Publications

Detect your fingerprint in your photographs: Photography-based multi-feature Sybil detection [paper][website][conference] Yerim Kim, Minjae Kim, Myungjae Chung, Junbeom Hur The 23rd Privacy Enhancing Technologies Symposium (PETS 2023), July 10-14, 2023, Laussanne, Switzerland.
γ-Knife: Extracting Neural Network Architecture Through Software-Based Power Side-Channel Dohyun Ryu, Yerim Kim, Junbeom Hur IEEE Transactions on Dependable and Secure Computing, accepted, 2023. 9. 6.

Papers under Review/Revision

Follow Your Hidden Traces: Underground Forum-based Darknet Market Sybil Detection Minjae Kim, Yerim Kim, Junbeom Hur

Working Paper

Market Maker Short Selling: A Necessary Evil? Yerim Kim, Kyong Shik Eom, Baeho Kim

Conference

Korea-Japan Joint Symposium on Statistics and Data Science Market Maker Short Selling: A Necessary Evil? 2024.11.02
Korea Finance Association Conference Market Maker Short Selling: A Necessary Evil? 2024.11.01

Patent

Darknet Multi Account Detection Model that extracts user information charateristics of photos Yerim Kim, Minjae Kim, Junbeom Hur 2021.12.20
Apparatus and Method for Analyzing Artificial Neural Network Dohyun Ryu, Yerim Kim, Junbeom Hur 2021.11.01

 Research & Project

Darknet Market Sybil Detection | ISS Lab [website] Advisor: Prof. Junbeom Hur Jan 2021- July 2023 | Seoul, Korea (Published paper based on work and accepted to PETS 2023)
Photograph based multi-feature Sybil detection model Extracting features of darnet market vendors from photographs in fine-grained level and revealing Sybil accounts
Model architecture of multi-feature Sybil detection
Darknet market multiple account detection with on- and off-chain dataset
High Frequency Trading | FBA Quant [website] Jul 2021- Dec 2023 | Seoul, Korea
Market microstructure especially market making in contexts such as optimal execution, order spread, and inventory risk [material]
Presentation of curriculum as a head of HFT
Implementing trading models for market making based on mathematical modeling and reinforcement learning using intraday bitcoin dataset
List of research papers used to implement the market making model
Market Microstructure | Research Challenger Program [website] Advisor: Prof. Baeho Kim Jul 2022- Feb 2023 | Seoul, Korea (Selected for disciplinary convergence project and supported by school)
Purpose of market maker’s short selling in terms of basis gap and liquidity Conducting regression analysis using panel dataset and analyzing intraday dataset
Market making system and trading scheme
Optimal Portfolio | Mirae Asset Financial Group [website] Jul 2022 - Oct 2022 | Seoul, Korea (Awarded as best paper from national competition hosted by Mirae Asset)
All weather alpha portfolio [paper][website] Rebalancing by predicting business cycle and calculating optimal weight of asset using Markov model and LSTM
Equity Linked Warrant | Korea Investment & Securities [website] Advisor: Senior Trader. Gihwan Kwon Feb 2019 - Jun 2019 | Seoul, Korea (Awarded as best paper from Korea investment & securities)
Reducing issuance fee of ELW [paper] Verifying scenario for issuance period and price range by conducting simulation
Price coverage simulation of call ELW
Derivative Securities | KUSEA Jan 2018 - Jun 2018 | Seoul, Korea (Presented paper at the National University Students Economics Forum)
Domestic introduction of weather derivatives and expected hedging performance [paper] Calculating based on scenario of listing weather derivatives on Korea Exchange
Monthly demand and supply functions of weather derivatives

 Academic Society

FBA Quant | Financial Big Data Analysis Quantitative Finance Research Group Quantitative finance research group built at intersection of financial engineering and data science Jan 2021- Present | Seoul, Korea
KUSEA | Korea University Students Economic Association Econometrics research group studying and discussing economic issues Jan 2018 - Dec 2018 | Seoul, Korea
UFEA | University Financial Engieering Association Financial engineering research group studying structure of derivative securities Jun 2016 - Sep 2016 | Seoul, Korea
KUBIG | Korea University Big Data Research Association Statistical analysis research group learning big data analysis tools and theories Jul 2015 - Jun 2016 | Seoul, Korea

 Award & Honors

2024
Best Paper Award Korea Finance Association Conference
Market Maker Short Selling: A Necessary Evil?
Ph.D. Student Scholarship The Korean Finance Association & Kiwoom Securities
2022
iPBL Research Competition | 1st Prize LG Electronics Inc. & Korea University
Creating new customer value for induction COOKTOPS [slides] Customized induction recipe recommendation service for each user
Project overflow and application prototype
Financial Big Data Analysis Competition | 4th Prize Mirae Asset Financial Group
All weather alpha portfolio
Best Paper Award | 4th Prize National Cryptography Competition
Detect your fingerprint in your photographs: Photography-based multi-feature Sybil detection
Research Challenger Program Scholarship Korea University
Junior Fellow Research Grant Scholarship Korea University
Peer Tutoring Program Scholarship Korea University
Teaching Assistant Scholarship Korea University
KT Corporation Consulting Competition | 1st Prize KT Corporation & Korea university
Restaurant consulting based on KT's big data [sildes] Consulting using business canvas, SWOT, 3C analysis and 4P strategy
Business canvas of restaurant
2021
Best Idea Award | 2nd Prize National AI Security Competition
Photograph-based multi-feature darknet Sybil account detection model [slides]
2019
Best Paper Award | 1st Prize Korea Investment & Securities
Reducing issuance fee of ELW
2017
Mirae Asset Exchange Scholarship Mirae Asset Financial Group
2015
Business School Schorlarship (2015 - 2018) Korea University

 Teaching

SWAI Academy | Korea University Teacher Jan 2023 - Feb 2023 | Seoul, Republic of Korea
COSE 214 Algorithms | Korea University Teaching Assistant (Prof. Dogil Lee) Mar 2022 - Jun 2022 | Seoul, Republic of Korea
Peer Tutoring Program | Korea University Tutor Apr 2022 - Aug 2022 | Seoul, Republic of Korea
Institute for Global Education | Korea University Mentor Sep 2017 - Aug 2018 | Seoul, Republic of Korea
Samsung Dream Class | Samsung Mathematics Teacher Apr 2016 - Feb 2017 | Seoul, Republic of Korea

 Extracurricular Activities

Consumer Electronic Show | Korea University Translator Jan 2022 | Las Vegas, USA
Interpretation for RoBoTry Company RoBoTry: company making paper robots for coding and educating on robotics mechanics and structure
Working at RoBoTry Boothe from CES 2022
Mirae Asset Global Reporter | Mirae Asset Financial Group Reporter Feb 2017 - May 2017 | Hong Kong
KU Pride Club | Korea University Ambassador Feb 2016 - Feb 2017 | Seoul, Korea

Volunteer Work

KUBS Global | Korea University Business School Academic Team Leader Feb 2016 - Dec 2016 | Seoul, Korea
Published book about school life and course registration for international freshment at business school
Guidance book for freshment
Hosted events such as meeting with seniors, field trip, and welcoming party
Speech from meeting with seniors

 Books

합격 선배가 알려주는 공부법 | Megabooks ISBN 9791129701220 2018 | Seoul, Korea
합격 선배가 알려주는 학생부종합전형의 모든것 | Megabooks ISBN 9791129701213 2018 | Seoul, Korea