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TEACHERS

教員の紹介
羽森 茂之

氏名 羽森 茂之
職位 教授
学部 政治経済学部
学科・専攻 グローバルビジネス学科
専門・研究分野 計量ファイナンス、応用時系列分析
研究キーワード 金融危機、市場の連動性、金融システムのリスク管理、経済社会の持続可能性
学部担当科目 ビジネス情報のための統計学、経済学基礎
関連リンク https://researchmap.jp/read0034833
学位 Ph.D. (Duke University)
実務経験
現在の研究内容・課題 2008-2009年の世界金融危機等の経験を経て、個々の金融機関の健全性の確保に止まらず、金融システム全体を不安定化させるシステミック・リスクの抑制を目的とした金融機関のリスク管理強化や政策当局のマクロプルーデンシャル規制導入が世界的な課題となっています。他方で、近年、ESG投資やグリーンファイナンスなど、経済社会の持続可能性の向上に貢献する投資への社会的な関心が高まっています。私の研究は、これらの課題解決に資する学術的知見を創出しようとするものです。特に、①金融危機のメカニズム解明、②精度の高い早期警戒システムの構築、③金融危機の実体経済への波及経路の分析、④ESG投資・グリーンファイナンスなどの特徴の解明、等に重点を置いた研究活動を行っています。
主な研究業績 主要著書
  1. Nakajima, T. and Hamori S. (2022) Energy Trading and Risk Management: Commentary on Arbitrage, Risk Measurement, and Hedging Strategy, Springer.
  2. Tamakoshi, G. and Hamori, S. (2020) Credit Default Swap Markets in the Global Economy, Routledge.
  3. Inoue, T. and Hamori, S. (2019) Financial Inclusion, Remittance Inflows, Economic Growth and Poverty Reduction: Evidence from Macro Empirical Analysis, World Scientific.
  4. Kabe, S., Ushiyama, R., Kinkyo, T., and Hamori, S. ed., (2016) Moving Up the Ladder: Development Challenges for Low and Middle-Income Asia, World Scientific.
  5. Tamakoshi,G. and Hamori S. (2015) The European Sovereign Debt Crisis and Its Impacts on Financial Markets, Routledge.
主要論文
  1. Shang, J. and Hamori, S. (2024) Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU, Energy Economics, Vol.132, #107473
  2. Zhang, W., He,X., and Hamori, S. (2023) The impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments, International Review of Financial Analysis, Vol.89 #102735
  3. Yang, L. and Hamori, S. (2023) Modeling the global sovereign credit network under climate change, International Review of Financial Analysis, Vol.87, #102618
  4. Zhang, W., He, X., and Hamori, S. (2022) Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach, International Review of Financial Analysis, Vol.83, #102223
  5. Zhang, Y. and Hamori, S. (2022) A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy, Economic Analysis and Policy, Vol.76, pp.182-203.
  6. Shang, J. and Hamori, S. (2021) Do crude oil prices and the sentiment index influence foreign exchange rates differently in oil-importing and oil-exporting countries? A dynamic connectedness analysis, Resources Policy, Vol.74, #102400.
  7. Zhang, W. and Hamori, S. (2021) Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany, International Review of Financial Analysis, Vol.7, #101702.
  8. He, X. and Hamori, S. (2021) Is volatility spillover enough for investor decisions? A new viewpoint from higher moment, Journal of International Money and Finance, Vol.116, #102412.
  9. Yang, L. and Hamori, S. (2021) The role of the carbon market in relation to the cryptocurrency market: Only diversification or more? International Review of Financial Analysis, Vol.77, #101864.
  10. Liu, T., Nakajima, T., and Hamori, S. (2021) The impact of economic uncertainty caused by COVID-19 on renewable energy stocks, Empirical Economics, Vol.62, pp.1495-1515.
  11. Zhang, W. and Hamori, S. (2021) Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany, International Review of Financial Analysis, Vol.74, #101702.
  12. Yang, L. and Hamori, S. (2021) Systemic risk and economic policy uncertainty: International evidence from the crude oil market, Economic Analysis and Policy, Vol.69 pp. 142-158.
  13. Motegi, K., Cai, X.J., Hamori, S., and Xu, H. (2020) Moving average threshold heterogeneous autoregressive (MAT-HAR) models, Journal of Forecasting, Vol.39, No. 7, pp.1035-1042.
  14. Tanaka,K., Higashide, T., Kinkyo, T., and Hamori, S. (2019) Analyzing Industry-level Vulnerability by Predicting Financial Bankruptcy, Economic Inquiry, Vol.57, No.4,
  15. Tanaka, K., Kinkyo, T., and Hamori, S. (2018) Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model, Sustainability Vol.10, No.5, pp.1-18.
主な所属学会