論文

While the importance of financial education is recognized in recent years, the technique for deepening an understanding to pension investment management is needed. In this research, we analyze learning method of the pension investment management in consideration of liability using the business game technique. As a result of analysis, interesting phenomena -- the participant understood the learning method of the pension investment management in consideration of liability -- were seen. This shows the effectiveness of the business game technique to learning the pension investment management.

Research on the association between stock price fluctuations and news data is popular andnumerous studies have been conducted. This paper aims to improve the accuracy of text classification intothree categories (negative, neutral, or positive) by employing high frequency data and LSTM model. Oneof the novelties of our paper is to use several types of news articles in the analysis.

Business behavior changes as a company grows. One of the behaviors which a company changeas it grows is diversification. While diversification is an advantage for a company, it can also be adisadvantage. This study analyzes how corporate diversification affects enterprise value, especially thesynergy effect between business units. We plan to analyze in detail in the future.

To keep up with rapid changes in the business environment, Japanese companies have requiredto conduct business transformation in recent years. In this paper, we classified companies by using FuzzyC Means, and estimated the synergy effect of multi-business companies based on that classification. Inaddition to this, we investigated the corporate behavior, especially when making a decision to sell a business,focusing on divestment through M&A.

不動産経営（賃貸業）において、売上にあたる賃料収入の把握は重要である。特に、賃貸不動産の取得・開発時においては、建物の良し悪しもさることながら、その立地における賃料を予測できることが望ましいが、立地評価を定量的に行うことは難しい。 都市空間の構成を定量的な尺度として求めるものに、ロンドン大学グループが提唱したスペース・シンタックス理論がある。この理論に基づいた解析手法である可視性グラフ分析により、視認性を表す可視領域や街路網中心性を表す統合値を算出し、これを立地評価として賃料要因に加えることを試みる。 本研究では、神田駅、渋谷駅の異なる特徴を持つ2つのケースを比較することで、その有用性を検討する。

News reports can be one of the main factors that influence commodity futures prices. In thispaper, we conducted analysis on the relationship between news reports and commodity futures. Firstly, wedeveloped a fluctuation index of the futures prices on a daily basis, through event study. Next wevectorized the news report data and analyzed their relationships with the futures prices. In this analysis,we used the multivariate autoregressive model to examine the possibilities of forecasting commodityfutures prices by using the news report index. We also analyzed the relationship between the news indexdeveloped in this paper and the stock prices of enterprises related with commodity futures.

One of the anomalies in the financial markets is the week day effect. Although reports of theweekday effect have been conducted in China's stock market, the cause of the effect is still indecisive.The purpose of this study is to clarify the relevance of the weekday effect and news about the Chinesestock market. In this paper, we examined the polarity of the news and try to explain its relevance with theweekday effect.

本研究では、投資家の注文情報が記録されている東京証券取引所の株式売買データおよび自然言語処理手法を用いて株式市場におけるニュース発信に対する投資家行動の反応について分析した。分析の結果、ポジティブな緊急ニュースの発信後における出来高比率の増加の程度は、他の分類のニュースと比較して相対的に小さくなること、大型株は相対的にニュース発信後の出来高比率の増加の程度は相対的に小さいことを見出した。これらの結果は、ニュースと投資家行動との関連性について興味深い結果を示すものである。

本研究では、高頻度データおよび自然言語処理技術を用いて株式市場におけるニュースのアナウンスメントと出来高の関連性について分析した。ニュースの評価においては、金融分野に特化した分析手法であるFinBERTモデルを用い、韓国および日本の株式市場を対象とした。分析の結果、即時性の高いアラートニュースにより出来高（取引量）が増加する傾向を見出した。また、時価総額が大きい企業に関するニュースの影響は限定的であるのに対し、相対的に小型の企業については、ニュースと出来高に強い関連性を有する企業があることも見出した。これらの結果は、市場における価格形成メカニズムの解明に貢献する興味深い結果である。

Economic fluctuations have a great impact on business management. In this study, we explorethe method to improve the accuracy of the prediction model of the economic fluctuation using the economicwatcher survey reported by the Cabinet Office, the Government of Japan. The economic watcher surveyincludes interviewees' answers in the text and the economic business trend tag for each answer. Theclassification was attempted through the LSTM model. As a result of the analysis, we found the predictionaccuracy could be improved by using texts generated by GPT-2. Further examination of the classificationmodel will be planned.

The influence of SNS or the impact of influencers is expanding on our society. This studyanalyzes the relationships between tweets and news text of influencers in the Japanese stock market. Roleof social media in the financial market is also examined by extracting the data related to the tweetsinformation.

SNS が世の中に与える影響が拡大しており、特にインフルエンサーが人々に与える影響が増してきている。本研究では、株のインフルエンサーを特定した上で、Google Cloud NaturalLanguage API を用いた感情分析を行い、ツイートとニュース及び株価の関係を明らかにすることを試みる。

This study examines the effectiveness of pricing strategies in business hotels. Through theanalysis, we will attempt to identify the impact on the lease period and sales of business hotels, and how itchanges with the introduction of policy simulation. In this study, pricing strategy is considered as a policy.Through Agent-Based Simulation, we will match borrower and lender agents and analyze the results ofthe balance between supply and demand, and we will consider pricing strategy in our analysis. We will bemeasured the policy effects from individual strategies, using the framework created by previous studiesthat considered prices. A bottom-up policy evaluation will be conducted, and exploratory studies will beconducted to determine that it is an effective tool.