Description The Results Forecast Comment summarizes the result forecasts, commentaries, and other materials disclosed by the companies, and uses the following two comments. (1) Automatically-generated comments: Comments that are automatically generated by using language analysis technology to read the materials disclosed on TDnet (timely disclosure information service) of the Tokyo Stock Exchange; and (2) Excerpted comments on company plans: Excerpted comments on company plans from the Main Points Report and the IPO Follow-up Report (*1) published by the QUICK Corporate Valuation Research Center. *1. A report summarizing the materials/commentaries by the companies and factual reporting from a neutral perspective.

Description Summary All Japanese corporate action data Point 1. Automatic analysis of the disclosures posted on TDnet and EDINET 2. Immediate deliver in text format 3. Cover all corporate actions in Japan Data Items (Example) ･ Earnings forecast revision ･ Stock split Data Collection & Process Method QUICK analyzes PDF and XBRL files posted on "TDnet", the Tokyo Stock Exchange's service providing timely disclosure releases and "EDINET", the Financial Services Agency's electronic disclosure system for disclosure materials and convert into a text format. Case Study Focusing on dividend revision news from Company Disclosure Bulletin, we modeled the probability of a stock price increase toward the last cum-rights date, and assigned a “high impact” label to the news stories with a high probability of such an increase. The results show that desirable performance can be expected when investments are made based on the labeling results. For details: Evaluate Investment Performance with Dividend Revision News

Description Summary Various corporate performance data in addition to monthly sales Point 1. Reveal company business performance, without waiting for quarterly results 2. Different perspective from income statement 3. Cover 25 industries Data Items (Example) ･Net sales ･Same-store sales ･Number of stores ･Number of subscribers etc. Data Collection & Process Method QUICK collects these data from companies' IR websites, standardizes into a text format.

Description This service provides local language and English transcripts of investor-targeted events such as shareholder meetings, earnings meetings in Japan and APAC. It is an innovative service that provides text, audio, and images on time. Meta information of events and the full meeting transcript also can be utilized for text analysis.

Description Summary Specialized data only in share buybacks of listed companies in Japan Point 1. Provide well-maintained share buybacks data 2. Include original items in addition to public information 3. Monitor the progress and predict the timing based on our share buybacks data Data Items (Example) ･Announcement date ･Purchase method ･Share buyback progress Data Collection & Process Method QUICK extracts share buybacks data from corporate disclosure information, and calculates original items." Case Study Based on Share Buybacks data and financial condition, we evaluated the predictability of future share buybacks. The study found that buybacks can be predicted with a high degree of accuracy and that the predictions can be used for investment strategies. For details: Evaluating Predictability of Share Buybacks

Summary QUICK Finer Compass is a service that provides access to a wide range of financial data of financial institutions in Japan. Key Features ・Wide Data Coverage: The dataset provides approximately 4,000 data items, including what are only in disclosure publications. ・Flash Reporting: Preliminary data is provided within one week of the announcement of financial results (on the same day if earliest). ・Standalized data: Easy to compare each item that are originally published in the different forms as the data is standalized. Data items (example) Basic items ・Consolidated and non-consolidated financial information Items that are only included in disclosure publications: ・Details of deposits and loan ・Details of securities balances ・Risk-managed loans ・Interest rate risk (IRRBB1) ・Capital adequacy ratios ・Details of derivative transactions

Description This service provides local language and English transcripts of investor-targeted events such as shareholder meetings, earnings meetings in Japan and APAC. It is an innovative service that provides text, audio, and images on time. Meta information of events and the full meeting transcript also can be utilized for text analysis. Brand URL https://scriptsasia.com/

Description Summary All Japanese corporate action data Point 1. Automatic analysis of the disclosures posted on TDnet and EDINET 2. Immediate deliver in text format 3. Cover all corporate actions in Japan Data Items (Example) ･ Earnings forecast revision ･ Stock split Data Collection & Process Method QUICK analyzes PDF and XBRL files posted on "TDnet", the Tokyo Stock Exchange's service providing timely disclosure releases and "EDINET", the Financial Services Agency's electronic disclosure system for disclosure materials and convert into a text format.

Description SMACOM provides unique information such as various scores and data analyzed by Nikkei Financial Technology Research Institute, Inc. (NIKKEI FTRI), and helps professional institutional investors with their investment decision-making. SMACOM attracts portfolio managers and quant analysts by its outputs which are extracted and/or calibrated from various data such as financial information, corporate disclosures, news, macro/micro economic data, and alternative data such as POS. SMACOM’s information includes the following scores; News sentiment score / SR sentiment score (Securities Report sentiment score) / FS forecast score (Financial Statement forecast score) / Fundamental score / Total scoreCredit score / Accrual score / Rating change score

Description This data service provides financial data of all Japanese banks including holdings companies, in addition to shinkin banks (credit union). The data sources are financial statements, annual reports and bank-specific disclosure publications. The data includes approx 4000 items, covering general financial statements items as well as detailed items published only in disclosure publications. The data will update on the day of disclosure or within around one week.

Summary This dataset provides large shareholding reports in immediate news format that were distributed to EDINET, an electronic disclosure system managed by the Financial Services Agency of Japan. Key Features Increases or decreases in shareholding ratios of large investors, such as institutional investors in Japan and abroad, affect stock prices as a fluctuating factor. Data items (example) In news format ・News body Structured data items as news tags: ・Submitter ・Shareholding ratio (%) ・Number of shares held ・Purpose of shareholding, etc., as news tags. What are large shareholding reports? Large shareholding reports are mandatory reports that shall be submitted and disclosed by shareholders who have acquired 5% or more of the outstanding shares of a listed company in Japan. If the shareholding ratio of a listed company exceeds 5%, a large shareholding report must be submitted to the regulatory authority within five business days from the date the ratio exceeds 5%. This system is called the “5% Rule."

Summary QUICK ESG Data contains a wide range of quantitative and qualitative information on environmental, social, and governance issues based on materials disclosed by companies, such as integrated reports, sustainability reports, and ESG-related materials in Japan. Key Features ・Comprehensive: Information on all listed companies in Japan, not just the index constituents, is included, allowing for comprehensive data analysis. ・Trustworthy: Data is aggregated by Nikkei, largest business media, and QUICK, leading financial information provider in Japan. Data items (example) Nikkei ESG Data: Major ESG indicators and text information ・Greenhouse gas (GHG) emissions ・Gender ratio of executives QUICK Proprietary ESG Data: Additional items not included in the Nikkei ESG Data ・Air pollution (NOx, SOx) ・Return-to-work rates after maternity or parental leave