京都大学 · Economics, Econometrics and Finance
타카시 카누마 교수의 연구실은 에너지 금융 및 탄소시장의 수익성과 리스크를 중심으로 한 금융경제 모델링을 주요 연구 분야로 삼고 있습니다. 특히 재생 가능 에너지 투자와 에너지 가격, 탄소 가격 간의 상관관계, 파급 효과를 분석하며, 에너지 선물 스프레드, 복합 리스크 모델링, 패닉 상황에서의 시장 전이 현상까지 포괄적인 분석을 수행합니다. 코로나19나 금융위기 등 외부 충격이 에너지 및 환경 금융 자산에 미치는 영향에 대한 실증적·이론적 연구도 활발히 진행 중입니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
We propose a new supply and demand-based correlation model of clean energy indices and energy prices with the influence of energy on clean energy business including renewables. Empirical studies estimate the model parameters using the stock indices and energy prices including S&P Global Clean Energy Index (GCE), Wilderhill Clean Energy Index (ECO), S&P/TSX Renewable Energy and Clean Technology Index (TXCT), S&P 500, WTI crude oil prices, and Henry Hub (HH) natural gas prices. Results show the co
This article proposes a profit model for spread trading by focusing on the stochastic movement of the price spread and its first hitting time probability density. The model is general in that it can be used for any financial instrument. The advantage of the model is that the profit from the trades can be easily calculated if the first hitting time probability density of the stochastic process is given. The authors then modify the profit model for a particular market—the energy futures market. It
This paper examines the risk and return profiles of energy companies with renewable energy (RE) investment in developing countries taking the Philippines as our country case study. First, we analyze the impact of the global RE project specific risk and country risk on RE projects using a simple capital asset pricing model (CAPM) by benchmarking stock returns of these companies to either the global S&P Global Clean Energy (S&P GCE) index or to the local Philippine Stock Exchange (PSE) ind
This paper theoretically and empirically revisits carbon pricing from the supply-side perspective for carbon assets to solve the recent low price issue which may delay the development of emission reduction technologies in the sense of marginal abatement costs. We propose a carbon pricing model linked to crude oil prices, which has historically been employed in supply-side driven pricing of long-term contracts for early-stage energy trading. Since the model is designed to hold carbon prices betwe