Work

The performance of OECD 's composite leading indicator

Year: 2023

Type: article

Abstract: This paper evaluated the performance of OECD's Composite Leading Indicator using the Continuous Wavelet Transform. We used various wavelet tools ‐ wavelet coherency, wavelet phase and wavelet phase difference ‐ to assess the co‐movement between the Composite Leading Indicator and three macroeconomic variables ‐ Industrial Production Index, unemployment rate, and real GDP Growth ‐ at each frequency and moment. We also explored the lead–lag relationship between each pair of variables across time and frequency. We concluded that OECD's Composite Leading Indicator is a useful leading indicator of the Industrial Production Index and can be suited for forecasting the unemployment rate. However, it exhibited poor performance regarding GDP growth.

Source: International Journal of Finance & Economics

DOI: 10.1002/ijfe.2784

Authors: Mustapha Olalekan Ojo, Luís Aguiar‐Conraria, Maria Joana Soares

Institution: University of Minho

Language: English

Topic: Monetary Policy and Economic Impact

Subfield: General Economics, Econometrics and Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $3,090