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Nikkei
Earings Summary
This service offers English earnings summary in a news format. The Japanese news source for this service is automatically generated based on the timely disclosure information of listed companies.

Readability:
In the process of translating Japanese news, the conversion process is performed based on the sentence structure. This helps to maintain readability despite being a machine translation.

Earnings revision:
As well as earnings announcements, earnings revisions are also updated.

Related infomation:
In addition to the summary of the announcement, the news also provides the average of analysts' earnings forecasts (QUICK Consensus) and company forecasts.
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SMACOM
(SMART COMPASS)
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.
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QUICK Finer
Compass
(Bank-Specific
Financial Data)
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.
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Share Buybacks Data
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.
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Extracted Data
From Financial Statements
This data service provides the following extracted data from text comments in “Financial Statements” and “Revisions to Financial Forecasts” published on TDnet (Timely Disclosure network).
・The number of positive / negative per section*
・Key word per section*
(* The section is classified into three categories; Overview, Business segment and Outlook.)
・Assumed exchange rates for the yen, dollar and euro
・Prices of crude oil, fuel oil, naphtha, gold, copper, zinc / lead and nickel
・"Important matters on going concern assumption" or "Notes on going concern assumption" is stated or not.
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Results Forecast
Comment
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.
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Company
Disclosure
Materials (TDnet, EDINET)
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.
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Monthly
Business
Activity Report
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.
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Transcripts of
earnings meetings
SCRIPTS Asia
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.
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