TAIYO BUSSAN KAISHA,LTD. (9941)

Overview Threads106 Thread groups96 News0 Papers11 Documents173 Company

Papers

Research linked through this company’s shared themes. These papers may study a broader subject.

1–11 of 11

Macro & Monetary PolicyOpenAlex2026-09-18

Has Japan’s Foreign-Exchange Intervention Been Effective? An Examination Using the Portfolio-Balance ApproachHas Japanese Intervention in the Foreign Exchange Market been Effective?Yutaka KuriharaThis study provides an empirical analysis of Japan’s foreign-exchange interventions since the 2000s, using the portfolio-balance approach and other methods. Although the interventions were effective in influencing the yen exchange rate, their effects lasted only a few days. The findings suggest that speculative sentiment may have a greater influence on trading than portfolio balance.

ThemesImpact of FX fluctuations and foreign-currency transactions on results+4 more

SectorsTransportation equipment+3 more

Overall scoreTypical

56/ 100

Strongest

Macro Relevance100

Empirical Rigor67

All seven categories

Macro & Monetary PolicyOpenAlex2026-08-25

Restoring Ukraine’s Budget Transparency After Wartime Institutional DeteriorationRestoring Budget Transparency in Ukraine in the Context of War-Induced Institutional DeteriorationDmytro SydorenkoThis paper examines how Ukraine’s budget transparency, which declined following Russia’s full-scale invasion and the imposition of martial law, recovered during 2023–2025 through content and institutional analysis of legislation, budget documents, and international reports. The Open Budget Index fell from 65 points in 2021 to 38 in 2023, then returned to 65 in 2025 as key budget documents were published, regular reporting resumed, and the medium-term fiscal framework was restored. Challenges remain, however, including the disclosure of fiscal risks and the scope of audits.

ThemesEnhancing corporate value through greater transparency and stronger management oversight+1 more

Overall scoreThin

30/ 100

Strongest

Practicality70

Novelty67

All seven categories

Macro & Monetary PolicyOpenAlex2026-08-24

The Relationship Between Foreign Aid and Corruption Control in Five East African Community Countries: A Panel Data AnalysisDoes Foreign Aid Reduce or Fuel Corruption? Evidence from Selected East African Community Member CountriesMohamed Hamdan Idrisa · Vicent StanslausUsing data for Burundi, Kenya, Rwanda, Tanzania, and Uganda from 2004 to 2025, the study estimates the relationship between foreign aid and corruption control using pooled OLS (POLS), fixed-effects, and random-effects models. In the robust estimates, the ODA coefficient was −0.168452 for the random-effects Model I and −0.176891 for the fixed-effects Model II, indicating that an increase in foreign aid is significantly associated with a decline in the corruption control indicator.

ThemesEstablishing an anti-bribery and anti-corruption policy+2 more

Overall scoreThin

33/ 100

Strongest

Macro Relevance75

Practicality70

All seven categories

Macro & Monetary PolicyarXiv2026-08-23

Estimation and Inference for Fixed-T Dynamic Spatial Panel Models with Common ShocksFixed-$T$ Dynamic Spatial Panel Model with Common ShocksJushan Bai · Jesse Chieh ChenThis paper proposes a large-N, fixed-T spatial panel model that jointly accounts for observed regressors, spatial interactions, dynamic persistence, and heterogeneous common shocks. Spatially extended random loadings (SERL) and a block coordinate method enable estimation and inference without estimating factor loadings for each individual unit. In simulations, the resulting confidence intervals were generally close to their nominal coverage levels. Applied to female labor force participation rates across U.S. counties, the estimated coefficient on education ranged from 0.527 to 0.646, with education accounting for 71.8% to 82.4% of the historical increase.

ThemesSecuring and developing talent and promoting work-life balance+1 more

Overall scoreThin

35/ 100

Strongest

Novelty67

Practicality50

All seven categories

Disclosure & Text AnalysisarXiv2026-08-14

Human Capital Disruptions and Idiosyncratic Risk Disclosed in Earnings CallsDisclosed Human-Capital Disruption and Firm-Specific RiskAng ZhangA context-dependent model extracted human capital disruptions, including hiring difficulties, employee turnover, rising wages, workforce restructuring and management changes, from earnings call transcripts. In annual data, a 1-standard-deviation increase in the measure was associated with a 0.55-percentage-point increase in idiosyncratic volatility, a 0.58-percentage-point increase in downside deviation and a 0.46-percentage-point deterioration in the worst monthly return.

ThemesIncrease in labor and recruitment costs due to labor shortages and population decline+2 more

Overall scoreThin

41/ 100

Strongest

Empirical Rigor67

Novelty67

All seven categories

Macro & Monetary PolicyOpenAlex2026-07-28

The Impact of Disruptions in International Energy Markets on the Cambodian Economy: A Simulation Analysis Using GTAP-FINThe Economic Impact on Cambodia of International Energy-Market DisruptionJames Giesecke · Robert Waschik · Milan ThomasUsing GTAP-FIN, this study estimates the impact on Cambodia from higher energy prices in the Gulf region and export restrictions on fuel and fertilizer imposed by China, Thailand and Vietnam over 2026-2031. Under a moderate energy price shock, real GDP in 2026 would be 1.16% below baseline, while private consumption, investment and employment would be 3.93%, 5.57% and 2.42% lower, respectively. The analysis also indicates that the impact of export restrictions, although smaller, would persist over a longer period.

ThemesEnergy procurement and supply disruption risks arising from dependence on imported fuels+4 more

SectorsFishery, Agriculture and Forestry+3 more

Overall scoreThin

30/ 100

Strongest

Macro Relevance50

Relevance to the Japanese Market50

All seven categories

Macro & Monetary PolicyarXiv2026-06-27

Estimation of Heterogeneous Panel Data Models with Idiosyncratic and Common Shocks: Fourier CCE Mean Group Estimators and an Estimated Regime MapSecond-Generation Heterogeneous Panel Data Model with Individual and Common ShocksHasraddin GuliyevWe compared the F-SURMG and new F-CCEMG estimators to simultaneously account for cross-sectional dependence caused by common shocks and structural changes occurring at different times in each country. In Monte Carlo experiments, F-CCEMG almost consistently produced the lowest RMSE under moderate dependence. In G7 data for 1965–2019, the aggregate effect of renewable energy consumption on growth was not statistically significant.

ThemesGrowing demand for renewable energy driven by climate change measures+1 more

Overall scoreThin

42/ 100

Strongest

Novelty67

Practicality50

All seven categories

Financial Performance & Fundamental ForecastingarXiv2026-06-11

The Differences Between Education Mismatch and Skill Mismatch and Their Relationship with Wages: A Comparative Analysis of PIAAC Data from 26 CountriesSkill vs Education Types of Labour Mismatch and Their Association with EarningsVsevolod IakovlevUsing the OECD Survey of Adult Skills (PIAAC), this study compares education-based and skill-based measures of labor-market mismatch and estimates their relationship with wages. After accounting for unobserved heterogeneity at the market level, overeducation and overskilling are associated with wage penalties, while undereducation and underskilling are associated with wage premiums. However, the magnitude of these relationships varies substantially by measure.

ThemesDeveloping Human Capital Metrics and Targets+1 more

Overall scoreThin

35/ 100

Strongest

Practicality50

Relevance to the Japanese Market50

All seven categories

Disclosure & Text AnalysisTechnical Research Group Materials, Japanese Society for Artificial Intelligence2026-03-18

Analysis of Factor Contributions to LLM Sentiment in Japanese Companies’ MD&A and Future Stock ReturnsLLM sentiment-factor analysis of MD&ATanemura Kento (種村賢飛) · Kubo Kenji (久保健治) · Nakagawa Kei (中川慧)Using Japanese listed companies from 2016 to 2024, the study analyzes whether MD&A sentiment measured by 5 types of LLMs, dictionary methods, and BERT reflects company fundamentals or information specific to the text. LLM sentiment is positively associated with Size and Profitability, while after factor adjustment it shows positive residual IC and a positive Q5−Q1 return spread, particularly in non-Prime markets.

ThemesUsing AI Text Analysis of IR Information for Investment+4 more

Overall scoreTypical

59/ 100

Strongest

Novelty100

Relevance to the Japanese Market67

All seven categories

AI and LLM Methods in FinanceTechnical Research Group Materials, Japanese Society for Artificial Intelligence2024-10-15

A Method for Extracting Managers’ Causal Perceptions and Self-Serving Attribution Bias from Japanese Companies’ Annual Securities Reports有価証券報告書からの経営者による経営環境と企業業績に関する因果認知の抽出陳穎 · 井上光太郎 · 市瀬龍太郎Using MD&A sections from Japanese companies’ annual securities reports, the study extracted whether managers attribute performance to internal or external factors and to positive or negative effects, based on an expert-annotated dataset and Japanese BERT. BERT-based CC-BizEnv achieved an F1 score of 0.874 in classification combining four types of causal perceptions with cue expressions, demonstrating that managers’ cognitive biases can be measured.

ThemesSales and Operating Profit Expansion and Revenue and Profit Declines+3 more

Overall scoreTypical

47/ 100

Strongest

Novelty67

Empirical Rigor58

All seven categories

Credit and BondsTechnical Research Group Materials, Japanese Society for Artificial Intelligence2024-10-15

Non-financial credit risk assessment model based on an intercompany transaction network constructed from financial institution account informationDevelopment of a Credit Risk Assessment Model Using Non-Financial Data Derived from Financial Institution Account InformationKobayashi Tsukasa (小林司) · Narusue Yoshinori (成末義哲) · Morikawa Hiroyuki (森川博之)An intercompany transaction network was constructed from financial institutions’ business-related cash inflow and outflow data, and a random forest model was used to classify companies as “normal” or “non-normal.” Adding network features to a model based solely on cash inflow and outflow information increased the AUC from 0.67 to 0.68. The F1 score for normal companies was 0.75, with a recall of 0.83. However, the model’s ability to identify non-normal companies declined.

ThemesEnhancing Underwriting and Reducing Credit Costs Through the Use of JICC Credit Information+2 more

SectorsBanking

Overall scoreThin

36/ 100

Strongest

Novelty67

Relevance to the Japanese Market50

All seven categories

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This company's documents

Filings

2026-05-15Half-year report
2025-12-25Annual Securities Report

Timely disclosures

2026-10-23Preliminary Monthly Sales Results for September, Fiscal Year Ending September 2026
2026-09-30Notice Regarding the Commencement of Consideration of a Transition to a Holding Company Structure
2026-09-30Notice Regarding Changes in Directors’ Responsibilities
2026-09-30Notice Regarding Changes to the Use of Proceeds from the 6th Stock Acquisition Rights
2026-09-30Notice Regarding Changes in Consolidated Subsidiaries (Transfer of a Subsidiary) and Withdrawal from the Home-Delivery Pizza Business
2026-09-18Financial Results Presentation for the Third Quarter of the Fiscal Year Ending September 2026
2026-09-10Preliminary Monthly Sales Report for August, Fiscal Year Ending September 2026
2026-09-08Notice Regarding the Termination of the Business Partnership with プライムジャパン株式会社
51 more

Threads

2026-10-23Capturing demand for pork among supermarkets and mass retailers
2026-10-23Expanding processed foods for the food-service industry and product-development proposals
2026-10-23Steady demand for vehicle parts exported to China
2026-10-23Strengthening and expanding primary and heat-processed products
2026-10-23Exports of cosmetics and confectionery to China
2026-10-23Reviewing the sales strategy to prioritize quality over volume
2026-10-23Launch and expansion of contracted domestic chicken transactions
2026-09-30Business model centered on chicken as a core product
98 more

Data sources

Filings34

Period2016 — 2026

Price15-min delay

The numbers come from filings and market data. Descriptions and extracted research are organized by AI; check the linked sources.