장봉규 교수
Bonggyu Jang
포항공과대학교 산업경영공학과 · 경제학
연구실 소개
장봉규 교수의 연구실은 금융공학과 행동재무론의 융합을 바탕으로, 불확실성과 정보 비대칭 속에서의 최적 투자 및 보험 전략을 연구합니다. 특히 실업 위험, 정보의 질, 심리적 장벽, 제도적 마찰 등 현실 세계의 복잡한 요소들이 금융자산 가격과 투자 결정에 미치는 영향을 분석하며, 이론적 모델링과 데이터 기반 예측 기법을 결합한 연구를 수행합니다. 특히 미국식 옵션의 조기 행사 경계, 복합적인 시장 환경 하에서의 옵션 평가, 원자재 시장의 실현 변동성 예측 등 응용 분야에서도 뛰어난 성과를 내고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15This paper investigates the optimal retirement of an individual in the presence of involuntary unemployment risks and borrowing constraints in a complete market with frictions. We use an intensity model and loading factors to illustrate the involuntary unemployment risks and frictions in unemployment insurance markets. Using reasonably calibrated parameters, we observe that high involuntary unemployment intensity and loading factors could be important explanations for the empirical findings emph
We introduce a simple iterative method to determine the optimal exercise boundary for American options, allowing us to compute the values of American options and their Greeks quickly and accurately. Following Little, Pant and Hou's idea (2000 Little, T, Pant, V and Hou, C. 2000. A new integral representation of the early exercise boundary for American put options. J. Comput. Finan., 3: 73–96. [Google Scholar]), we derive a new equation for the optimal exercise boundary containing a single integr
Psychological barriers are prevalent among various asset classes, and it is important to consider their impact on the prices of derivative securities. This paper demonstrates the potential existence of such barriers on the S&P 500 Index and examines their impact on this index's rate of return and volatility. It focuses on deriving analytic European option prices under the assumption that the dynamics of stock prices follow a threshold model; this paper also evaluates this model's empirical p
Abstract We consider partial and complete information models to investigate how partial information has a unique quality over complete information for insurers. We find that optimal reinsurance and investment strategies for the partially informed insurer depend on prior beliefs, whereas those for the completely informed insurer do not. In addition, information quality can affect insurer behaviour, mainly through the relative difference between risk‐adjusted market premium and risk‐adjusted insur
We find a closed-form formula for valuing a time-switch option where its underlying asset is affected by a stochastically changing market environment, and apply it to the valuation of other qualitative options such as corridor options and options in foreign exchange markets. The stochastic market environment is modeled as a Markov regime-switching process. This analytic formula provides us with a rapid and accurate scheme for valuing qualitative options with stochastic volatility.
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