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How Might Sovereign Bond Yields in Asia Pacific React to US Monetary Normalisation under Turbulent Market Conditions?

Author

Listed:
  • Tom Fong

    (Hong Kong Monetary Authority)

  • Ceara Hui

    (Hong Kong Monetary Authority)

  • Alfred Wong

    (Hong Kong Monetary Authority)

Abstract

This paper examines the potential impact of US monetary normalisation on sovereign bond yields in Asia Pacific. We apply the quantile vector autoregressive model with principal component analysis to the assessment of tail risk of sovereign debt, which may not be detectable using traditional OLS-based analysis. Our empirical evidence suggests that US Treasury bond yields can have a significant impact on sovereign bond yields in the region, an important channel through which monetary normalisation by the Fed can affect Asia-Pacific economies. Increases in sovereign bond yields will not only compromise the ability of the sovereigns in the region to service their debt but also translate into higher costs of borrowing for the rest of the economy. The results show how much the outsized impact could potentially be if US monetary normalisation somehow turns out to be much more disorderly than expected.

Suggested Citation

  • Tom Fong & Ceara Hui & Alfred Wong, 2015. "How Might Sovereign Bond Yields in Asia Pacific React to US Monetary Normalisation under Turbulent Market Conditions?," Working Papers 132015, Hong Kong Institute for Monetary Research.
  • Handle: RePEc:hkm:wpaper:132015
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    Cited by:

    1. Paul De Grauwe & Zhaoyong Zhang & Rod Tyers, 2016. "Slower Growth and Vulnerability to Recession: Updating China's Global Impact," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(1), pages 66-88, February.
    2. Jhuvesh Sobrun & Philip Turner, 2015. "Bond markets and monetary policy dilemmas for the emerging markets," BIS Working Papers 508, Bank for International Settlements.

    More about this item

    Keywords

    Sovereign Credit Risk; Tail Risk; Value-at-Risk; Quantile Regression; Vector Autoregression; Impulse Response Function; Principal Components;
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