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Identifying the Frequency and Connectivity Dynamics of the US Economy

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  • Mathias Schneid Tessmann

    (Economics and Management School, Brazilian Institute of Education Development and Research (IDP), Brasília 70750-600, DF, Brazil)

  • Marcelo De Oliveira Passos

    (Organizations and Markets Graduate Program, Universidade Federal de Pelotas, Pelotas 96010-610, RS, Brazil)

  • Omar Barroso Khodr

    (Essex Business School, University of Essex, Colchester C04 3SQ, UK)

  • Alexandre Vasconcelos Lima

    (Economics and Management School, Brazilian Institute of Education Development and Research (IDP), Brasília 70750-600, DF, Brazil)

  • Pedro Henrique Pontes Fontana

    (Economics and Management School, Brazilian Institute of Education Development and Research (IDP), Brasília 70750-600, DF, Brazil)

Abstract

This paper seeks to investigate the connectivity of the US economy through the dynamics of the transmission of volatility in sectoral indices. For this, we use daily asset data and two methodologies. The first creates a spillover index that measures market connectivity and the second partitions this index into different frequency bands that denote periods. We found results that show significant transmissions of volatility among the 64 analyzed assets. Notably, the DJIA, Wilshire 5000, and S&P 500 showed significant volatility and were the main drivers of volatility for the other sectors and indices. Results also indicated that sectors that transferred volatility were influenced by three key factors: periods of economic uncertainty, socioeconomic circumstances resulting from post-crisis events, and the impact of economic and financial news on market sentiment. Additionally, we found that global returns and price changes in market indices sent considerable volatility into commodity assets. Our results are potentially useful for investors, portfolio managers, financial economists, financial advisors, financial market regulators, and policymakers.

Suggested Citation

  • Mathias Schneid Tessmann & Marcelo De Oliveira Passos & Omar Barroso Khodr & Alexandre Vasconcelos Lima & Pedro Henrique Pontes Fontana, 2024. "Identifying the Frequency and Connectivity Dynamics of the US Economy," Economies, MDPI, vol. 12(6), pages 1-20, June.
    • Handle: RePEc:gam:jecomi:v:12:y:2024:i:6:p:149-:d:1413576
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    References listed on IDEAS

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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Richard T. Baillie & Tim Bollerslev, 1991. "Intra-Day and Inter-Market Volatility in Foreign Exchange Rates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 565-585.
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