시계열적 부호 동행성 상관 지표의 설계와 활용: 부동산 데이터 기반의 실증분석

This study proposes the Weighted Sign Concordance Index (WSCI), a time-series co-movement measure that jointly captures pointwise agreement in the direction of change and the strength of changes across series observed over the same period. While Pearson correlation summarizes average linear co-movement and phase-based measures such as the concordance index identify simultaneous expansion and contraction, both are limited in reflecting directional agreement and abrupt large-magnitude movements at the same time. Using regional deposit-to-price ratio series in Korea as a representative hierarchical time-series case, we evaluate inter-regional co-movement with WSCI and compare it with Pearson correlation. The results show that WSCI more effectively distinguishes synchronized and opposing regional change patterns and provides a clearer depiction of co-movement and de-coupling than Pearson correlation.