Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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A study on the improvement of the economic sentiment index for the Korean economy

경제심리지수의 유용성 및 개선방안에 관한 연구

  • Kim, Chiho (Department of Economics, Soongsil University) ;
  • Kim, Tae Yoon (Department of Statistics, Keimyung University) ;
  • Park, Inho (Department of Statistics, Pukyong University) ;
  • Ahn, Jae Joon (Department of Information and Statistics, Yonsei University)
  • Received : 2015.09.18
  • Accepted : 2015.10.14
  • Published : 2015.11.30
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Abstract

In order to effectively understand the perception of businesses and consumers, the Bank of Korea has released Economic Sentiment Index (ESI), a composite indicator of business survey index (BSI) and consumer survey index (CSI), since 2102. The usefulness of ESI has been widely recognized. However, there exists a margin for improvement in terms of its predictive power. In this study, we evaluated the usefulness of ESI and improved the ESI by complementing its defaults. Our results of empirical analysis proved that dynamic optimal weight navigation process using the sliding window method is very useful in determining the optimal weights of configurations item of ESI based on economic situation.

경기상황에 대한 기업과 소비자들의 인식을 효과적으로 파악하기 위해 기업경기실사지수 (BSI)와 소비자동향지수 (CSI)를 편제하고 있는 한국은행은 2012년부터 이 두 지수를 합성한 경제심리지수 (ESI)를 추가로 개발하여 발표하고 있다. ESI는 그 유용성을 인정받고 있으나 지수의 예측력 측면에서 개선의 여지가 있는 것으로 나타났다. 본 연구에서는 ESI에 대해 유용성 평가 작업을 실시하고 그 결과를 토대로 현행 ESI의 편제방식의 개선 또는 보완 방법을 모색하였다. 실증분석 결과 ESI 구성요소의 최적 가중치 탐색과정에서 슬라이딩 윈도우 방법을 이용한 동적 최적 가중치 탐색은 기존 ESI의 구성방식을 보완하거나 또는 경제상황을 고려하여 ESI 구성항목들의 가중치를 부여하고자 할 때 매우 유용한 방법이라고 판단할 수 있었다.

Keywords

References

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