Presentation 2019-06-22
[Short Paper] Analysis of Key Factors in Corporate Growth by XGBoost
Hikari Kaji, Marina Yamamoto, Yukari Shirota,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We conducted a regression analysis of which response variable is the sales profit rate in Japanese machine manufacturing industries. We use as predictor variables the net sales, the total capital, the inventory turnover rate, and the sales growth rate. Regression analysis methods we used are machine learning algorithms such as XGBoost and Random Forest, other than the traditional multiple regression.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Corporate analysis / Sales profit rate / XGBoost / Regression / Predictor / Relative importance
Paper # DE2019-1
Date of Issue 2019-06-15 (DE)

Conference Information
Committee DE
Conference Date 2019/6/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Jun Miyazaki(Tokyo Inst. of Tech.)
Vice Chair Shohei Yokoyama(Tokyo Metropolitan Univ.) / Kazuo Goda(Univ. of Tokyo)
Secretary Shohei Yokoyama(NTT) / Kazuo Goda(Univ. of Hyogo)
Assistant Saneyasu Yamaguchi(Kogakuin Univ.) / Shoko Wakamiya(NAIST)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Short Paper] Analysis of Key Factors in Corporate Growth by XGBoost
Sub Title (in English) Case Study of Machine Manufacturing Industries
Keyword(1) Corporate analysis
Keyword(2) Sales profit rate
Keyword(3) XGBoost
Keyword(4) Regression
Keyword(5) Predictor
Keyword(6) Relative importance
1st Author's Name Hikari Kaji
1st Author's Affiliation Gakushuin University(Gakushuin Univ.)
2nd Author's Name Marina Yamamoto
2nd Author's Affiliation Gakushuin University(Gakushuin Univ.)
3rd Author's Name Yukari Shirota
3rd Author's Affiliation Gakushuin University(Gakushuin Univ.)
Date 2019-06-22
Paper # DE2019-1
Volume (vol) vol.119
Number (no) DE-99
Page pp.pp.1-4(DE),
#Pages 4
Date of Issue 2019-06-15 (DE)