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Real-financial connectedness in the Swiss economy

Author

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  • Erhan Uluceviz

    (Gebze Technical University)

  • Kamil Yilmaz

    (Koç University)

Abstract

We study macro-financial linkages and their importance within the Swiss economy from a network perspective. First, we investigate the real-financial connectedness in the Swiss economy, using the KOF economic barometer, obtained from real and financial variables, and, the real activity index (RAI), we distilled from a small set of real variables, as two alternative proxies for the real side. Whereas the KOF-barometer-based analysis shows that both sides transmit sizeable shocks to each other without one dominating the other, the RAI-based analysis shows that in the aggregate, the financial side turns out to be the net shock transmitter to the real sector. In the second part, we focus on the relative importance of financial markets as shock propagators using a network centrality measure. We find that 2008–2009 recession in Switzerland and the Swiss National Bank’s (SNB) exchange rate policy changes in 2011 and 2015 have significantly altered the way the shocks are transmitted across the two sides of the economy. During 2009–2011, stock, bond, and foreign exchange (FX) markets, in descending order, played important roles as shock propagators. Following the SNB’s 2015 policy decision to discontinue the lower bound for the EUR/CHF exchange rate, FX market has become equally important as the stock market but more important than the bond market as a shock propagator.

Suggested Citation

  • Erhan Uluceviz & Kamil Yilmaz, 2020. "Real-financial connectedness in the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
  • Handle: RePEc:spr:sjecst:v:156:y:2020:i:1:d:10.1186_s41937-019-0049-z
    DOI: 10.1186/s41937-019-0049-z
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    References listed on IDEAS

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    1. Schmidbauer, Harald & Rösch, Angi & Uluceviz, Erhan, 2017. "Frequency aspects of information transmission in a network of three western equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 933-946.
    2. Harald Schmidbauer & Angi Roesch & Erhan Uluceviz, 2013. "Market Connectedness: Spillovers, Information Flow, and Relative Market Entropy," Koç University-TUSIAD Economic Research Forum Working Papers 1320, Koc University-TUSIAD Economic Research Forum.
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    Cited by:

    1. Chen, Yu-Lun & Mo, Wan-Shin & Qin, Rong-Ling & Yang, J. Jimmy, 2023. "Return spillover across China's financial markets," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    2. Hedi Ben Haddad & Imed Mezghani & Imed Medhioub & Sohale Altamimi, 2024. "Spillover effects of disaggregated macroeconomic uncertainties on U.S. real activity: evidence from the quantile vector autoregressive connectedness approach," Empirical Economics, Springer, vol. 66(2), pages 829-858, February.
    3. Uluceviz, Erhan & Yilmaz, Kamil, 2021. "Measuring real–financial connectedness in the U.S. economy," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    4. Albrecht, Peter & Kočenda, Evžen, 2025. "Event-driven changes in volatility connectedness in global forex markets," Journal of Multinational Financial Management, Elsevier, vol. 77(C).
    5. Johnson A. Oliyide & Oluwasegun B. Adekoya & Muhammad A. Khan, 2021. "Economic policy uncertainty and the volatility connectedness between oil shocks and metal market: An extension," International Economics, CEPII research center, issue 167, pages 136-150.
    6. Albrecht, Peter & Kočenda, Evžen, 2024. "Volatility connectedness on the central European forex markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    7. Marius Cristian Acatrinei, 2020. "Spillover index for European business cycle," Journal of Financial Studies, Institute of Financial Studies, vol. 9(5), pages 49-57, November.

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