The impact of unconventional US monetary policy shock on emerging bond markets: A comprehensive assessment of global transmission channels

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Type of the article: Research Article

Abstract
Extensive research has been conducted on the global effects of the US unconventional monetary policy shock on capital flows in emerging markets. However, there is limited empirical evidence on the transmission channels of capital flows in emerging bond markets. This study examines it by analysing capital flows across 45 emerging bond markets from 2009 to 2023. Contemporaneous shock transmission is examined using the contemporaneous impact matrix, and dynamic shock transmission is assessed using the impulse response function of the structural vector autoregression (SVAR) model. All variables in this study are standardised to account for differences in scale within the model. The pairwise correlation coefficient matrix indicates that multicollinearity is not a concern for parameter estimates in this model. The ADF-Fisher Chi-square unit root test result reveals that all variables are stationary in this model. The contemporaneous coefficient matrix results indicate that changes in the US term spread serve as the contemporaneous transmission channel through which US Treasury bond purchase and US MBS purchase shocks positively affect capital flows in emerging bond markets. The impulse response function indicates that changes in the global financial cycle serve as a dynamic transmission channel through which US MBS purchase shocks affect capital flows in emerging bond markets. Moreover, changes in the US mortgage spread serve as the dynamic transmission channel through which US Treasury bond purchases and US MBS purchases affect capital flows in emerging bond markets.

Acknowledgment
The author expresses sincere gratitude to Assistant Professor Dr Nupur Moni Das, Faculty of Management Studies, Sri Sri University, India, for her careful proofreading of the manuscript and her valuable academic insights.

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    • Figure 1. Conceptual framework
    • Figure 2. Response of change in the US term spread to the TSP shock
    • Figure 3. Response of capital flow to a change in the US term spread shock
    • Figure 4. Response of capital flow to the TSP shock
    • Figure 5. Response of capital flow to the MBSP shock
    • Figure 6. Response of change in mortgage spread to the MBSP shock
    • Figure 7. Response of capital flow to a change in mortgage spread shock
    • Figure 8. Response of change in VIX to the MBSP shock
    • Figure 9. Response of capital flow to a change in VIX
    • Figure 10. Response of change in mortgage spread to the TSP shock
    • Figure 11. Change in the US term spread to the MBSP shock
    • Table 1. Descriptive statistics of all endogenous variables
    • Table 2. Correlation coefficient matrix
    • Table 3. ADF – Fisher Chi-square unit root test
    • Table 4. Lag order selection
    • Table 5. SVAR parameters in the contemporaneous coefficient matrix
    • Conceptualization
      Swarupa Ranjan Panigrahi, Suresha B.
    • Data curation
      Swarupa Ranjan Panigrahi
    • Formal Analysis
      Swarupa Ranjan Panigrahi
    • Funding acquisition
      Swarupa Ranjan Panigrahi, Suresha B., Sudhansu Sekhar Nanda, Biplab Kumar Biswal
    • Investigation
      Swarupa Ranjan Panigrahi
    • Methodology
      Swarupa Ranjan Panigrahi
    • Project administration
      Swarupa Ranjan Panigrahi, Suresha B., Sudhansu Sekhar Nanda, Biplab Kumar Biswal
    • Resources
      Swarupa Ranjan Panigrahi, Suresha B., Sudhansu Sekhar Nanda, Biplab Kumar Biswal
    • Software
      Swarupa Ranjan Panigrahi, Sudhansu Sekhar Nanda
    • Validation
      Swarupa Ranjan Panigrahi, Suresha B., Biplab Kumar Biswal
    • Visualization
      Swarupa Ranjan Panigrahi, Biplab Kumar Biswal
    • Writing – original draft
      Swarupa Ranjan Panigrahi
    • Supervision
      Suresha B., Sudhansu Sekhar Nanda, Biplab Kumar Biswal
    • Writing – review & editing
      Suresha B., Sudhansu Sekhar Nanda, Biplab Kumar Biswal