Research keywords (8):
Granger Causality
, Mixed Frequency Data
, Multivariate Analysis
, Time Series Analysis
, グランジャーの因果性
, 混合頻度データ
, 多変量解析
, 時系列分析
Research theme for competitive and other funds (15):
2025 - 2027 Modelling and predicting the volatility of real estate investment trust markets
2023 - 2026 Modelling and testing threshold effects with mixed frequency data
2022 - 2024 Time series prediction of economic and COVID-19 statistics
2023 - 2024 Modelling and forecasting the volatility of energy prices
2022 - 2023 Modelling and testing threshold effects in mixed frequency time series
2020 - 2022 Modelling threshold effects in financial time series
2020 - 2022 Time series analysis on the regional spillover effects of REIT prices
2019 - 2022 An innovative approach for unifying causal inference, missing data analysis, and copula models
2018 - 2020 Unifying copula models, missing data analysis, and treatment effects
2018 - 2019 Analysis of the interdependence of financial variables based on new copula models
2017 - 2019 A new approach for predicting economic time series
2017 - 2019 A new approach for predicting economic time series
2016 - 2019 Statistical analysis of mixed frequency data: Theory and macroeconomic applications
2017 - 2018 A new approach for predicting economic time series
2016 - 2017 Statistical analysis of mixed frequency data
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Papers (11):
Kaiji Motegi, Sejun Woo. A note on the exponentiation approximation of the birthday paradox. Communications in Statistics - Theory and Methods. 2023. 1-10
Kaiji Motegi, Yoshitaka Iitsuka. Inter-regional dependence of J-REIT stock prices: A heteroscedasticity-robust time series approach. North American Journal of Economics and Finance. 2023. 64. #101840
Chunrong Ai, Oliver Linton, Kaiji Motegi, Zheng Zhang. A unified framework for efficient estimation of general treatment models. Quantitative Economics. 2021. 12. 3. 779-816
Shigeyuki Hamori, Kaiji Motegi, Zheng Zhang. Copula-based regression models with data missing at random. Journal of Multivariate Analysis. 2020. 180. #104654
Intensive course on time series analysis
(Yokohama City University 2024)
Midastar: Threshold autoregression with data sampled at mixed frequencies
(92nd Marunouchi Quantitative Finance Seminar 2024)
Midastar: Threshold autoregression with data sampled at mixed frequencies
(2024 Japanese Economic Association Autumn Meeting 2024)
Conditional threshold effects of stock market volatility on crude oil market volatility
(9th Annual International Conference on Applied Economics in Hawaii 2024)
Midastar: Threshold autoregression with data sampled at mixed frequencies
(2024 Japanese Joint Statistical Meeting 2024)