有価証券報告書における将来志向情報の有用性－機械学習・深層学習を用いた実証研究－

• Project/Area Number: 23K12579
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 07100:Accounting-related
• Research Institution: Kyushu University
• Principal Investigator: 姫 艶彦 九州大学, 経済学研究院, 助教 (20962864)
• Project Period (FY): 2023-04-01 – 2025-03-31
• Project Status: Declined (Fiscal Year 2023)
• Budget Amount: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000); Fiscal Year 2024: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2023: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)