Rchr
J-GLOBAL ID:201401065165309378   Update date: Jul. 19, 2024

Ishihara Tsunehiro

Ishihara Tsunehiro
Affiliation and department:
Job title: Associate Professor
Research field  (1): Economic statistics
Research theme for competitive and other funds  (1):
  • 2024 - 2027 New developments in nonlinear econometric models using statistical learning and their applications to risk evaluations
Papers (9):
  • Shinya Sugawara, Tsunehiro Ishihara, Susumu Kunisawa, Etsu Goto, Yuichi Imanaka. A panel vector autoregression analysis for the dynamics of medical and long-term care expenditures. Health economics. 2024. 33. 4. 748-763
  • Ishihara Tsunehiro. Realized Matrix Exponential Stochastic Volatility Model: Application to Market, Size, and Value Factor Realized Covariance. Journal of the Japan Statistical Society, Japanese Issue. 2021. 51. 1. 1-39
  • Tsunehiro Ishihara, Yasuhiro Omori. PORTFOLIO OPTIMIZATION USING DYNAMIC FACTOR AND STOCHASTIC VOLATILITY: EVIDENCE ON FAT-TAILED ERRORS AND LEVERAGE. JAPANESE ECONOMIC REVIEW. 2017. 68. 1. 63-94
  • Tsunehiro Ishihara, Yasuhiro Omori, Manabu Asai. Matrix exponential stochastic volatility with cross leverage. COMPUTATIONAL STATISTICS & DATA ANALYSIS. 2016. 100. 331-350
  • 景気循環の計量分析--サーベイと日本の景気動向指数への応用--. 経済研究. 2015. 66. 2. 154-168
more...
Books (1):
  • Multivariate Stochastic Volatility Model
    2012
Lectures and oral presentations  (3):
  • "A realized multi-factor regression model using multivariate realized stochastic volatility
    (17th International Conference on Computational and Financial Econometrics (CFE 2023) 2023)
  • A realized multi-factor regression using a multivariate stochastic volatility model
    (The 5th International Conference on Econometrics and Statistics (EcoSta 2022) 2022)
  • Stochastic Offset count model with endogeneity: application to the hospital stay length
    (2018 Japanese Joint Statistical Meeting 2018)
Association Membership(s) (2):
日本統計学会 ,  日本経済学会
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page