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Kohei Maehashi

Personal Details

First Name:Kohei
Middle Name:
Last Name:Maehashi
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In ASCII letters:
RePEc Short-ID:pma3670
Terminal Degree:2021 (from RePEc Genealogy)

Affiliation

International Monetary Fund (IMF)

Washington, District of Columbia (United States)
http://www.imf.org/
RePEc:edi:imfffus (more details at EDIRC)

Research output

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Jump to: Working papers Articles Chapters

Working papers

  1. Kohei Maehashi & Daisuke Miyakawa & Takatoshi Sasaki, 2026. "Heterogeneous Views and Currency Swing Prediction: Evidence from Trade Repository Data," Bank of Japan Working Paper Series 26-E-10, Bank of Japan.
  2. Kohei Maehashi & Daisuke Miyakawa & Takatoshi Sasaki & Taihei Sone, 2025. "Skewed Interest Rate Expectations and Effects of Central Banks' Market Operations: Empirical Findings Using Granular Transaction Data," Bank of Japan Working Paper Series 25-E-7, Bank of Japan.
  3. Kohei Maehashi & Daisuke Miyakawa & Kana Sasamoto, 2024. "Pricing Implications of Centrality in an OTC Derivative Market: An Empirical Analysis Using Transaction-Level CDS Data," Bank of Japan Working Paper Series 24-E-11, Bank of Japan.
  4. Noritaka Fukuma & Tomiyuki Kitamura & Kohei Maehashi & Naoki Matsuda & Keita Takemura & Kota Watanabe, 2024. "The Impact of Quantitative and Qualitative Easing and Yield Curve Control on the Functioning of the Japanese Government Bond Market," Bank of Japan Working Paper Series 24-E-9, Bank of Japan.
  5. Kento Yoshizawa & Kohei Maehashi & Hiroaki Yanagihara & Yoichi Kadogawa & Masakazu Inada, 2021. "Developments in Banknotes in Circulation since the Start of the Pandemic," Bank of Japan Review Series 21-E-6, Bank of Japan.
  6. Kohei Maehashi & Mototsugu Shintani, 2020. "Macroeconomic Forecasting Using Factor Models and Machine Learning: An Application to Japan," CIRJE F-Series CIRJE-F-1146, CIRJE, Faculty of Economics, University of Tokyo.
  7. Takuji Fueki & Kohei Maehashi, 2019. "Inflation Dynamics in the Age of Robots: Evidence and Some Theory," Bank of Japan Working Paper Series 19-E-9, Bank of Japan.
  8. Takuji Kawamoto & Tatsuya Ozaki & Naoya Kato & Kohei Maehashi, 2017. "Methodology for Estimating Output Gap and Potential Growth Rate: An Update," Bank of Japan Research Papers 17-05-31, Bank of Japan.

Articles

  1. Maehashi, Kohei, 2021. "Systemic risk of portfolio diversification," Economics Letters, Elsevier, vol. 208(C).
  2. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).

Chapters

  1. Kohei Maehashi & Daisuke Miyakawa & Kana Sasamoto, 2026. "Pricing implications of centrality in an OTC derivative market: an empirical analysis using transation-level CDS data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistics and beyond: new data for decision making in central banks, volume 66, Bank for International Settlements.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Noritaka Fukuma & Tomiyuki Kitamura & Kohei Maehashi & Naoki Matsuda & Keita Takemura & Kota Watanabe, 2024. "The Impact of Quantitative and Qualitative Easing and Yield Curve Control on the Functioning of the Japanese Government Bond Market," Bank of Japan Working Paper Series 24-E-9, Bank of Japan.

    Cited by:

    1. Shunsuke Haba & Kimihiko Izawa & Yui Kishaba & Yusuke Takahashi & Shunichi Yoneyama, 2025. "Measuring Policy Effects since the Introduction of Quantitative and Qualitative Monetary Easing (QQE): An Analysis Using the Macroeconomic Model Q-JEM," Bank of Japan Working Paper Series 25-E-2, Bank of Japan.
    2. Kosuke Aoki & Kozo Ueda, 2025. "Survey of the effects of unconventional monetary policy in Japan," The Japanese Economic Review, Springer, vol. 76(3), pages 587-619, July.
    3. Shunsuke Haba & Ryuichiro Hirano & Yuichiro Ito & Sohei Kaihatsu, 2026. "Changes in Perceptions about Monetary Policy: Estimating the Policy Reaction Function Using Market Survey Data," Bank of Japan Working Paper Series 26-E-5, Bank of Japan.

  2. Kento Yoshizawa & Kohei Maehashi & Hiroaki Yanagihara & Yoichi Kadogawa & Masakazu Inada, 2021. "Developments in Banknotes in Circulation since the Start of the Pandemic," Bank of Japan Review Series 21-E-6, Bank of Japan.

    Cited by:

    1. Rodolfo Maino & Marco Pani, 2024. "Could CBDCs Lead to Cash Extinction? Insights from a “Merchant-Customer” Model," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(1), pages 21-45, February.
    2. Monetary Affairs Department, 2023. "Central Bank Finances and Monetary Policy Conduct," Bank of Japan Working Paper Series 23-12-12, Bank of Japan.

  3. Kohei Maehashi & Mototsugu Shintani, 2020. "Macroeconomic Forecasting Using Factor Models and Machine Learning: An Application to Japan," CIRJE F-Series CIRJE-F-1146, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Khan, Faridoon & Muhammadullah, Sara & Sharif, Arshian & Lee, Chien-Chiang, 2024. "The role of green energy stock market in forecasting China's crude oil market: An application of IIS approach and sparse regression models," Energy Economics, Elsevier, vol. 130(C).
    2. Danilo Leiva-León & Rodrigo Sekkel & Luis Uzeda, 2026. "Do Monetary Policy Shocks Affect the Neutral Rate of Interest?," Working Papers 26-3, Federal Reserve Bank of Boston.
    3. Ádám Csápai, 0000. "Macroeconomic Forecasting Using Machine Learning: A Case of Slovakia," Proceedings of Economics and Finance Conferences 14115967, International Institute of Social and Economic Sciences.
    4. Dennis Kant & Andreas Pick & Jasper de Winter, 2022. "Nowcasting GDP using machine learning methods," Working Papers 754, DNB.
    5. Ilkin Huseynov & Nazrin Ramazanova & Hikmat Valirzayev, 2022. "Using National Payment System Data to Nowcast Economic Activity in Azerbaijan," IHEID Working Papers 23-2022, Economics Section, The Graduate Institute of International Studies.
    6. komaki, Yasuyuki, 2023. "Why is the forecast error of quarterly GDP in Japan so large? – From an international comparison of quarterly GDP forecast situation," Japan and the World Economy, Elsevier, vol. 66(C).
    7. James Chapman & Ajit Desai, 2022. "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers 22-10, Bank of Canada.
    8. Robert-Paul Berben & Rajni Rasiawan & Jasper de Winter, 2025. "Forecasting Dutch inflation using machine learning methods," Working Papers 828, DNB.
    9. Junko Koeda & Bin Wei, 2025. "Forward Guidance and Its Effectiveness: A Macro-Finance Shadow-Rate Framework," Working Papers 2423, Waseda University, Faculty of Political Science and Economics.
    10. Sun, Weixin & Wang, Yong & Zhang, Li & Chen, Xihui Haviour & Hoang, Yen Hai, 2025. "Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    11. Tingguo Zheng & Xinyue Fan & Wei Jin & Kuangnan Fang, 2024. "Forecasting CPI with multisource data: The value of media and internet information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 702-753, April.
    12. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    13. Juan Jos√© Rinc√≥n Brice√±o, 2025. "Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning," Documentos CEDE 21388, Universidad de los Andes, Facultad de Economía, CEDE.
    14. Адилханова Зарина // Adilkhanova Zarina & Ержан Ислам // Yerzhan Islam, 2024. "Система селективно - комбинированного прогноза инфляции (SSCIF)// Selective-Combined Inflation Forecasting System," Working Papers #2024-13, National Bank of Kazakhstan.
    15. Jesús Alejandro Navarro Acosta & Valeria Soto Mendoza & Laura Policardo & Edgar Javier Sánchez Carrera, 2025. "Modeling economic growth in pandemic times with machine learning regression algorithms," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 20(1), pages 1-33, Enero - M.
    16. Abdukakhkhor Abdurakhmonov, 2026. "Macroeconomic Forecasting Using Machine Learning Methods: An Application to Uzbekistan," IHEID Working Papers 19-2026, Economics Section, The Graduate Institute of International Studies.
    17. Muhammad Anees Khan & Kumail Abbas & Mazliham Mohd Su’ud & Anas A. Salameh & Muhammad Mansoor Alam & Nida Aman & Mehreen Mehreen & Amin Jan & Nik Alif Amri Bin Nik Hashim & Roslizawati Che Aziz, 2022. "Application of Machine Learning Algorithms for Sustainable Business Management Based on Macro-Economic Data: Supervised Learning Techniques Approach," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    18. S. Madhumitha & Anubhab Pattanayak & K.S. Kavi Kumar, 2021. "Crop Diversity and Resilience to Droughts: Evidence from Indian Agriculture," Working Papers 2021-206, Madras School of Economics,Chennai,India.
    19. Kakuho Furukawa & Ryohei Hisano, 2022. "A Nowcasting Model of Exports Using Maritime Big Data," Bank of Japan Working Paper Series 22-E-19, Bank of Japan.
    20. Hasnain Iftikhar & Faridoon Khan & Paulo Canas Rodrigues & Abdulmajeed Atiah Alharbi & Jeza Allohibi, 2025. "Forecasting of Inflation Based on Univariate and Multivariate Time Series Models: An Empirical Application," Mathematics, MDPI, vol. 13(7), pages 1-18, March.

  4. Takuji Fueki & Kohei Maehashi, 2019. "Inflation Dynamics in the Age of Robots: Evidence and Some Theory," Bank of Japan Working Paper Series 19-E-9, Bank of Japan.

    Cited by:

    1. Josué Diwambuena & Francesco Ravazzolo, 2022. "What are the drivers of Labor Productivity?," BEMPS - Bozen Economics & Management Paper Series BEMPS86, Faculty of Economics and Management at the Free University of Bozen.
    2. Daniele Siena & Riccardo Zago, 2021. "Job Polarization and the Flattening of the Price Phillips Curve," Working papers 819, Banque de France.
    3. Emilio Ocampo, 2020. "The Global Disinflation Puzzle. A Selective Review of the Theory and Evidence in an Historical Context," CEMA Working Papers: Serie Documentos de Trabajo. 726, Universidad del CEMA.

  5. Takuji Kawamoto & Tatsuya Ozaki & Naoya Kato & Kohei Maehashi, 2017. "Methodology for Estimating Output Gap and Potential Growth Rate: An Update," Bank of Japan Research Papers 17-05-31, Bank of Japan.

    Cited by:

    1. Fukuda, Shin-ichi, 2025. "Short-run and long-run consequences of unconventional monetary policy in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 77(C).
    2. Stefano Di Bucchianico, 2018. "A Note on Krugman's Liquidity Trap," UMASS Amherst Economics Working Papers 2018-17, University of Massachusetts Amherst, Department of Economics.
    3. Tomiyuki Kitamura & Masaki Tanaka, 2019. "Firms' Inflation Expectations under Rational Inattention and Sticky Information: An Analysis with a Small-Scale Macroeconomic Model," Bank of Japan Working Paper Series 19-E-16, Bank of Japan.
    4. Hogen, Yoshihiko & Okuma, Ryoichi, 2025. "The anchoring of inflation expectations in Japan: A learning-approach perspective," Japan and the World Economy, Elsevier, vol. 73(C).
    5. Mr. Fei Han, 2019. "Demographics and the Natural Rate of Interest in Japan," IMF Working Papers 2019/031, International Monetary Fund.
    6. Han, Fei, 2024. "The impact of demographic change on the natural rate of interest in Japan," Japan and the World Economy, Elsevier, vol. 69(C).
    7. Saito, Makoto & 齊藤, 誠, 2020. "Public Bonds as Money Substitutes at Near-Zero Interest Rates: Disequilibrium Analysis of the Current and Future Japanese Economy," Discussion Paper Series 714, Institute of Economic Research, Hitotsubashi University.
    8. Ichiro Fukunaga & Yoshihiko Hogen & Yojiro Ito & Kenji Kanai & Satoshi Tsuchida, 2024. "Potential Growth in Japan: Issues on Its Relationship with Prices and Wages," Bank of Japan Working Paper Series 24-E-16, Bank of Japan.
    9. Felipe, Jesus & Estrada, Gemma, 2020. "What happened to the world's potential growth after the 2008–2009 global financial crisis?," Journal of the Japanese and International Economies, Elsevier, vol. 56(C).
    10. Bianca PĂUNA & George GEORGESCU, 2021. "EU’s CAM and Potential GDP Estimates. Some Inconsistent Results in the Case of Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-16, December.
    11. Sekine, Toshitaka, 2022. "Looking from Gross Domestic Income: Alternative view of Japan’s economy," Japan and the World Economy, Elsevier, vol. 64(C).
    12. Yoshihiko Hogen & Ryoichi Okuma, 2018. "The Anchoring of Inflation Expectations in Japan: A Learning-Approach Perspective," Bank of Japan Working Paper Series 18-E-8, Bank of Japan.
    13. Shunsuke Haba & Yuichiro Ito & Shogo Nakano & Takahiro Yamanaka, 2024. "Assessing the Long-Term Impact of Monetary Policy," Bank of Japan Working Paper Series 24-E-19, Bank of Japan.
    14. Junko Koeda, 2018. "Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures," IMES Discussion Paper Series 18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
    15. Ichiro Fukunaga & Yoshihiko Hogen & Yoichi Ueno, 2024. "Japan's Economy and Prices over the Past 25 Years: Past Discussions and Recent Issues," Bank of Japan Working Paper Series 24-E-14, Bank of Japan.
    16. Sohei Kaihatsu & Maiko Koga & Tomoya Sakata & Naoko Hara, 2018. "Interaction between Business Cycles and Economic Growth," Bank of Japan Working Paper Series 18-E-12, Bank of Japan.
    17. Yosuke Okazaki & Nao Sudo, 2018. "Natural Rate of Interest in Japan -- Measuring its size and identifying drivers based on a DSGE model --," Bank of Japan Working Paper Series 18-E-6, Bank of Japan.
    18. Shin-ichi Fukuda, 2025. "Short-run and Long-run Consequences of Unconventional Monetary Policy in Japan," CIRJE F-Series CIRJE-F-1240, CIRJE, Faculty of Economics, University of Tokyo.
    19. Sohei Kaihatsu & Shogo Nakano & Hiroki Yamamoto, 2024. "Macroeconomic Impact of Shifts in Long-term Inflation Expectations," Bank of Japan Working Paper Series 24-E-18, Bank of Japan.
    20. Sohei Kaihatsu & Mitsuru Katagiri & Noriyuki Shiraki, 2023. "Phillips Correlation and Price‐Change Distributions under Declining Trend Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(5), pages 1271-1305, August.
    21. Naohisa Hirakata & Kazutoshi Kan & Akihiro Kanafuji & Yosuke Kido & Yui Kishaba & Tomonori Murakoshi & Takeshi Shinohara, 2019. "The Quarterly Japanese Economic Model (Q-JEM): 2019 version," Bank of Japan Working Paper Series 19-E-7, Bank of Japan.

Articles

  1. Maehashi, Kohei, 2021. "Systemic risk of portfolio diversification," Economics Letters, Elsevier, vol. 208(C).

    Cited by:

    1. Pang, Congyuan & Fan, Hong, 2024. "Risk amplification effect of multilayer financial networks: Feedback mechanism or cyclic structure?," Economics Letters, Elsevier, vol. 242(C).

  2. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).

    Cited by:

    1. Khan, Faridoon & Muhammadullah, Sara & Sharif, Arshian & Lee, Chien-Chiang, 2024. "The role of green energy stock market in forecasting China's crude oil market: An application of IIS approach and sparse regression models," Energy Economics, Elsevier, vol. 130(C).
    2. Danilo Leiva-León & Rodrigo Sekkel & Luis Uzeda, 2026. "Do Monetary Policy Shocks Affect the Neutral Rate of Interest?," Working Papers 26-3, Federal Reserve Bank of Boston.
    3. Ádám Csápai, 0000. "Macroeconomic Forecasting Using Machine Learning: A Case of Slovakia," Proceedings of Economics and Finance Conferences 14115967, International Institute of Social and Economic Sciences.
    4. Dennis Kant & Andreas Pick & Jasper de Winter, 2022. "Nowcasting GDP using machine learning methods," Working Papers 754, DNB.
    5. Ilkin Huseynov & Nazrin Ramazanova & Hikmat Valirzayev, 2022. "Using National Payment System Data to Nowcast Economic Activity in Azerbaijan," IHEID Working Papers 23-2022, Economics Section, The Graduate Institute of International Studies.
    6. komaki, Yasuyuki, 2023. "Why is the forecast error of quarterly GDP in Japan so large? – From an international comparison of quarterly GDP forecast situation," Japan and the World Economy, Elsevier, vol. 66(C).
    7. James Chapman & Ajit Desai, 2022. "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers 22-10, Bank of Canada.
    8. Robert-Paul Berben & Rajni Rasiawan & Jasper de Winter, 2025. "Forecasting Dutch inflation using machine learning methods," Working Papers 828, DNB.
    9. Junko Koeda & Bin Wei, 2025. "Forward Guidance and Its Effectiveness: A Macro-Finance Shadow-Rate Framework," Working Papers 2423, Waseda University, Faculty of Political Science and Economics.
    10. Sun, Weixin & Wang, Yong & Zhang, Li & Chen, Xihui Haviour & Hoang, Yen Hai, 2025. "Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    11. Tingguo Zheng & Xinyue Fan & Wei Jin & Kuangnan Fang, 2024. "Forecasting CPI with multisource data: The value of media and internet information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 702-753, April.
    12. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    13. Juan Jos√© Rinc√≥n Brice√±o, 2025. "Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning," Documentos CEDE 21388, Universidad de los Andes, Facultad de Economía, CEDE.
    14. Адилханова Зарина // Adilkhanova Zarina & Ержан Ислам // Yerzhan Islam, 2024. "Система селективно - комбинированного прогноза инфляции (SSCIF)// Selective-Combined Inflation Forecasting System," Working Papers #2024-13, National Bank of Kazakhstan.
    15. Jesús Alejandro Navarro Acosta & Valeria Soto Mendoza & Laura Policardo & Edgar Javier Sánchez Carrera, 2025. "Modeling economic growth in pandemic times with machine learning regression algorithms," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 20(1), pages 1-33, Enero - M.
    16. Abdukakhkhor Abdurakhmonov, 2026. "Macroeconomic Forecasting Using Machine Learning Methods: An Application to Uzbekistan," IHEID Working Papers 19-2026, Economics Section, The Graduate Institute of International Studies.
    17. Muhammad Anees Khan & Kumail Abbas & Mazliham Mohd Su’ud & Anas A. Salameh & Muhammad Mansoor Alam & Nida Aman & Mehreen Mehreen & Amin Jan & Nik Alif Amri Bin Nik Hashim & Roslizawati Che Aziz, 2022. "Application of Machine Learning Algorithms for Sustainable Business Management Based on Macro-Economic Data: Supervised Learning Techniques Approach," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    18. S. Madhumitha & Anubhab Pattanayak & K.S. Kavi Kumar, 2021. "Crop Diversity and Resilience to Droughts: Evidence from Indian Agriculture," Working Papers 2021-206, Madras School of Economics,Chennai,India.
    19. Kakuho Furukawa & Ryohei Hisano, 2022. "A Nowcasting Model of Exports Using Maritime Big Data," Bank of Japan Working Paper Series 22-E-19, Bank of Japan.
    20. Hasnain Iftikhar & Faridoon Khan & Paulo Canas Rodrigues & Abdulmajeed Atiah Alharbi & Jeza Allohibi, 2025. "Forecasting of Inflation Based on Univariate and Multivariate Time Series Models: An Empirical Application," Mathematics, MDPI, vol. 13(7), pages 1-18, March.

Chapters

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More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MON: Monetary Economics (5) 2019-06-24 2021-12-20 2024-09-16 2025-05-19 2026-06-08. Author is listed
  2. NEP-MAC: Macroeconomics (3) 2017-06-04 2019-06-24 2021-12-20. Author is listed
  3. NEP-BIG: Big Data (2) 2020-04-06 2026-06-08. Author is listed
  4. NEP-CBA: Central Banking (2) 2024-09-16 2025-05-19. Author is listed
  5. NEP-PAY: Payment Systems and Financial Technology (2) 2020-04-06 2021-12-20. Author is listed
  6. NEP-BAN: Banking (1) 2021-12-20
  7. NEP-CMP: Computational Economics (1) 2020-04-06
  8. NEP-DCM: Discrete Choice Models (1) 2017-06-04
  9. NEP-FOR: Forecasting (1) 2020-04-06
  10. NEP-IFN: International Finance (1) 2025-05-19
  11. NEP-ORE: Operations Research (1) 2020-04-06

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