Details about Teruo Nakatsuma
Access statistics for papers by Teruo Nakatsuma.
Last updated 2024-12-07. Update your information in the RePEc Author Service.
Short-id: pna602
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Working Papers
2023
- Vaccine Uptake - Geographic Psychology or the Information Field?
Working Papers, Tokyo Center for Economic Research
2021
- Hierarchical Bayesian Hedonic Regression Analysis of Japanese Rice Wine: Price is Right?
Keio-IES Discussion Paper Series, Institute for Economics Studies, Keio University
- Identification in Bayesian Estimation of the Skewness Matrix in a Multivariate Skew-Elliptical Distribution
Papers, arXiv.org
- The Cost Function Estimation of Japanese Sake Industry with Prefecture-Wise Panel Data
Keio-IES Discussion Paper Series, Institute for Economics Studies, Keio University
2018
- Trading and Ordering Patterns of Market Participants in High Frequency Trading Environment -Empirical Study in the Japanese Stock Market-(Forthcoming in Asia-Pacific Financial Markets)(Revised version of CARF-F-411)
CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo
2017
- Trading and Ordering Patterns of Market Participants in High Frequency Trading Environment -Empirical Study in the Japanese Stock Market-
CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo View citations (1)
Also in CIRJE F-Series, CIRJE, Faculty of Economics, University of Tokyo (2017) 
See also Journal Article Trading and Ordering Patterns of Market Participants in High Frequency Trading Environment: Empirical Study in the Japanese Stock Market, Asia-Pacific Financial Markets, Springer (2018) View citations (5) (2018)
- Volatility Forecasts Using Nonlinear Leverage Effects
Papers, arXiv.org
1999
- Bayesian Analysis of the Convergence Hypothesis in Economic Drowth: A Markov Approach
Discussion Paper Series, Institute of Economic Research, Hitotsubashi University
1996
- ARMA-GARCH Models: Bayes Estimation Versus MLE, and Bayes Non-stationarity Test
Departmental Working Papers, Rutgers University, Department of Economics View citations (4)
Journal Articles
2024
- Comparative Analysis of Japanese Rice Wine Export Trends: Large Firms in the Nada Region vs. SMEs in Other Regions
World, 2024, 5, (3), 1-23
2022
- Comment on “Why Fintech Is Not Changing Japanese Banking”
Asian Economic Policy Review, 2022, 17, (2), 313-314 View citations (1)
- Stochastic Conditional Duration Model with Intraday Seasonality and Limit Order Book Information
JRFM, 2022, 15, (10), 1-25 View citations (1)
2021
- Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors
JRFM, 2021, 14, (4), 1-29 View citations (1)
2020
- Volatility forecasts using stochastic volatility models with nonlinear leverage effects
Journal of Forecasting, 2020, 39, (2), 143-154 View citations (3)
2018
- Trading and Ordering Patterns of Market Participants in High Frequency Trading Environment: Empirical Study in the Japanese Stock Market
Asia-Pacific Financial Markets, 2018, 25, (3), 179-220 View citations (5)
See also Working Paper Trading and Ordering Patterns of Market Participants in High Frequency Trading Environment -Empirical Study in the Japanese Stock Market-, CARF F-Series (2017) View citations (1) (2017)
2004
- A New Control Variate Estimator for an Asian Option
Asia-Pacific Financial Markets, 2004, 11, (2), 143-160 View citations (1)
2000
- Bayesian analysis of ARMA-GARCH models: A Markov chain sampling approach
Journal of Econometrics, 2000, 95, (1), 57-69 View citations (62)
1999
- Bayesian Estimation of ARMA-GARCH Model of Weekly Foreign Exchange Rates
Asia-Pacific Financial Markets, 1999, 6, (1), 71-84 View citations (3)
1998
- A Markov-Chain Sampling Algorithm for GARCH Models
Studies in Nonlinear Dynamics & Econometrics, 1998, 3, (2), 13 View citations (13)
Edited books
2021
- The Economics of Fintech
Springer Books, Springer
Chapters
2021
- Asset Management and Robo-Advisors
Springer
- Machine Learning Principles and Applications
Springer
- The Mechanism of HFT and Its Merits and Demerits—The Information Efficiency Challenge
Springer
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