Details about Katsuyuki Tanaka

Access statistics for papers by Katsuyuki Tanaka.

Last updated 2025-03-27. Update your information in the RePEc Author Service.

Short-id: pta859

Working Papers

2024

1. Is It Possible to Detect the Insolvency of a Company?
   Discussion Paper Series, Research Institute for Economics & Business Administration, Kobe University
2. Reality Hits Early Warning System: Based on Unsupervised Isolation Forest Anomaly Detection
   Discussion Paper Series, Research Institute for Economics & Business Administration, Kobe University

2022

3. Machine Learning: New Tools for Economic Analysis
   Discussion Paper Series, Research Institute for Economics & Business Administration, Kobe University
4. Technological Competition among the Big Five in Patent Data: A Systematic and Scalable Approach Based on Web-Search Technology
   Discussion Paper Series, Research Institute for Economics & Business Administration, Kobe University

2021

5. Measuring Technological Competition among Big Five Using Patent Data: A Systematic and Scalable Approach Based on Information Retrieval Technology
   Discussion Paper Series, Research Institute for Economics & Business Administration, Kobe University

2017

6. Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model
   Discussion Papers, Graduate School of Economics, Kobe University View citations (3)
   See also Journal Article Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model, Sustainability, MDPI (2018) View citations (6) (2018)
7. Forecasting the Vulnerability of Industrial Economic Activities: Predicting the Bankruptcy of Companies
   Discussion Papers, Graduate School of Economics, Kobe University View citations (2)

Journal Articles

2021

1. New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?
   JRFM, 2021, 14, (5), 1-18 View citations (1)

2019

2. ANALYZING INDUSTRY‐LEVEL VULNERABILITY BY PREDICTING FINANCIAL BANKRUPTCY
   Economic Inquiry, 2019, 57, (4), 2017-2034 View citations (7)
3. Asymmetric technological distance measure based on language model
   Applied Economics Letters, 2019, 26, (18), 1548-1551
4. Can We Forecast Daily Oil Futures Prices? Experimental Evidence from Convolutional Neural Networks
   JRFM, 2019, 12, (1), 1-13 View citations (7)

2018

5. Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model
   Sustainability, 2018, 10, (5), 1-18 View citations (6)
   See also Working Paper Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model, Discussion Papers (2017) View citations (3) (2017)

2016

6. Random forests-based early warning system for bank failures
   Economics Letters, 2016, 148, (C), 118-121 View citations (49)

2003

7. Multi-criteria optimization of a district cogeneration plant integrating a solid oxide fuel cell–gas turbine combined cycle, heat pumps and chillers
   Energy, 2003, 28, (6), 497-518 View citations (50)