Published papers

With the aging of society, the problem of asset formation before and after retirement isattracting attention. The issues related to asset depletion are often analyzed based on macro statistical datasuch as financial assets and disposable income. Whereas such analysis does not necessarily reflect theattributes of each individual so there is room for improvement. In this paper, as a first step to analyze thecharacteristics of the assets and household income before and after retirement, we conducted a basicanalysis using individual questionnaire data. Specifically, after showing the summary statistics of theabove data, cross tabulation was performed according to the attributes of the questionnaire respondents.We analyzed the tendency of various asset statuses and stances toward investment due to differences inresidential area and household composition.

本邦では，社会の高齢化・長寿化が進展にするにつれ，資産寿命を延伸することの重要性が高まってきている．しかし，資産の形成や取り崩し，承継領域に係る論点については，必ずしも議論が深まっているとは言えない状況にある．特に，退職後の資産取り崩しを前提とした資産形成・運用に関して，理論や基本的な考え方の整備，個人の特性に応じた助言・コンサルティングの枠組みの高度化など，様々な検討を進める必要がある．そこで本稿では，個人の特性やライフイベントを勘案したキャッシュフローマネジメントに係るシミュレーションの枠組みを提案する．資産形成や取り崩しに係る個人の意思決定を取り扱うエージェントモデルを構築し，外生的に与える各種シナリオにおいて，資産枯渇に与える影響を分析する．

本邦では，社会の高齢化・長寿化が進展にするにつれ，資産の形成や取崩し，承継領域に係る論点について関心が高まっている．しかし、退職後の資産取崩しを前提とした資産形成・運用に関して，必ずしも理論や基本的な考え方が整備されているとは言い難い．そこで本稿では，著者らが提案している資産形成や取り崩しに係るエージェントモデルを拡張する．外生的に与える各種シナリオにおいて，個人の意思決定が資産枯渇に与える影響を分析する．

The paper proposes a method of building a sentiment dictionary using news and stock prices inChina markets by textual analysis in finance. In order to obtain the amount of word polarities, weassociated the frequencies of the news' one-hot wordlist to the abnormal change rate of stock prices onthe publish date which is calculated by the method of the event study. We conducted the support vectorregression (SVR) and build a sentiment dictionary with polarity data from learners. Furthermore, weattempt to predict the news polarities by using the sentiment dictionary.

As business environment changes rapidly, companies must respond to the change. As one ofcountermeasures against big change, divestment by M&A is becoming one of the options. In this paper, weclassify the industries by using FCM in order to reflect the trend in industrial classification that businessstructure changes drastically, we analyze what kind of companies divest business. As a result of analyzingduring 15 years from 2002 to 2016, we found that companies with higher debt ratio would divest thebusiness. Analyzing the effectiveness of industrial classification by fuzzy c means is one of our future works.

In finance task domain, text information such as financial statement or analyst's reports is one of the most important information. However, because of the difficulty of handling text information, few research and development have been conducted. In this paper, we examine whether it is possible to extract valuable knowledge for asset management by performing text mining on analyst's reports. From empirical study on the practical data, we find the effectiveness of analyst's reports; 1) we can find the independent analyst who has more valuable information by eliminating duplicated information, 2) to combine text information with numerical information make it possible to extract more useful Information.

In this research, it analyzed of Rights offerings news and a price of corporate bond. In Result, (1)the price of corporate bond of new-share undertaking company was in the tendency for CER to become minus, when ranking was BBB.(2)About the stock price of that it is in the tendency for CER to become minus when ranking is BBB,(3) prices of corporate bond of Right offerings was in the tendency of plus.

© 2018 Fuji Technology Press. All rights reserved. Europe and Japan have both adopted negative interest rate policies as part of their monetary easing measures. However, despite the benefits that are claimed to be associated with increased lending demand, significant concerns exist regarding an increased burden on private financial institutions as a result of the application to their excess reserves. In this paper, we focus on the risks associated with increased investment of surplus funds for the operation of financial institutions. We propose an agent-based model for interlocking specific bankruptcy based on changes in financial situations as a result of market price fluctuations involving assets held by financial institutions. To extend the proposed model to handle macro market shocks, we describe decision making regarding funds that are surplus to the operation of financial institutions. Additionally, we analyze the impact of price declines involving marketable assets on financial systems.

This research aims to improve the services of the food-service industry so it can lead to better management. The labor productivity of the food-service industry in Japan is very low, has long suffered from lack of personnel and continues to struggle maintaining talent. In order to solve this issue, this research attempts to come up with new sales strategies by analyzing POS data and clarifying the purchasing behavior of each product target.

An approach in organizational research compares actual business cases with the logs of organizational simulation. In this approach, to compare business cases and simulation logs efficiently, an analysis method that targets only the types of micro-logs, and not micro-logs that indicate detailed records of individual agent behavior, has been proposed. However, the method is dependent on the analyst's knowledge of the simulation model. Consequently, a room for improvement prevails in relation to the need to set log types in advance. Therefore, in this paper, a methodology that extends the following two points by employing the clustering method to micro-log analysis of the organizational simulation is proposed. First, the analyst does not have to set the type of simulation log in advance. Second, the analyst could change the analysis granularity of the simulation log. Further, we constructed an agent-based model that represents the decision-making process related to the external environment recognition of an organization and illustrated that the requirements of the proposed method are satisfied.