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“…At the same time, at the global level, it should be, to a large extent, contemporaneously predetermined with respect to country level banking sector distress, which supports our identification assumptions. The responses of annual GDP growth to a surge in the Piffer and Podstawski (2018) uncertainty measure by one standard deviation exhibit patterns that are consistent with our baseline results, thus confirming the significance of the effects of uncertainty on the state of the banking sector.…”
Section: Robustness Analysessupporting
confidence: 86%
“…To support the generality of our results, we also confirm the validity of our results by considering other measures of uncertainty, including the uncertainty indices proposed byDavis (2016),Ludvigson et al (2019) andPiffer and Podstawski (2018).…”
supporting
confidence: 85%
“…Second, we apply our estimation methodology using a proxy for global uncertainty put forward by Piffer and Podstawski (2018), shown in Panel B of Figure 7. They measure uncertainty using the variations in the price of gold around events associated with unexpected changes in uncertainty.…”
“…At the same time, at the global level, it should be, to a large extent, contemporaneously predetermined with respect to country level banking sector distress, which supports our identification assumptions. The responses of annual GDP growth to a surge in the Piffer and Podstawski (2018) uncertainty measure by one standard deviation exhibit patterns that are consistent with our baseline results, thus confirming the significance of the effects of uncertainty on the state of the banking sector.…”
Section: Robustness Analysessupporting
confidence: 86%
“…To support the generality of our results, we also confirm the validity of our results by considering other measures of uncertainty, including the uncertainty indices proposed byDavis (2016),Ludvigson et al (2019) andPiffer and Podstawski (2018).…”
supporting
confidence: 85%
“…Second, we apply our estimation methodology using a proxy for global uncertainty put forward by Piffer and Podstawski (2018), shown in Panel B of Figure 7. They measure uncertainty using the variations in the price of gold around events associated with unexpected changes in uncertainty.…”
“…In turn, there are several factors that can be taken into account as indicators of uncertainty in economic policy, and among them, GP has been considered as the most significant (Raza et al, 2018). The price of gold can be used as an efficient tool to identify the uncertainty shocks (Piffer & Podstawski, 2016). The positive gold shocks may increase the probability of being in the high-uncertainty regime (Zhou et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…To begin with, the previous studies mainly investigate the causal relationship between GP and EPU of one country. It is widely believed that gold can be considered as a global hedge or a safe haven asset (Piffer & Podstawski, 2016), so the price of gold is affected by GEPU. This paper is a pioneering effort to probe the causal relationships between GEPU and GP.…”
This paper investigates the ability of gold to hedge worldwide risks from the perspective of global economic policy uncertainty (GEPU). By applying the full- and sub-sample rolling-window bootstrap causality tests to analyze the dynamic interaction between GEPU and gold price (GP). It can be observed that gold can effectively hedge risks of GEPU during the Asian financial crisis, dot-com bubble and global economic crisis, but this result does not hold in non-crisis period. GEPU manifests two-way impacts on the GP in a few periods, this relationship between GEPU and GP being consistent with the hypothesis in the general equilibrium model, which states that changes in GEPU lead to the fluctuations of GP. In turn, GP has both positive and negative impacts on GEPU. In the current complex economic situation, governments and investors can consider gold to hedge risks of GEPU, especially during the economic crises.
We propose a new bootstrap algorithm for inference for impulse responses in structural vector autoregressive models identified with an external proxy variable. Simulations show that the new bootstrap algorithm provides confidence intervals for impulse responses which often have more precise coverage than and similar length to the competing moving-block bootstrap intervals. An empirical example shows how the new bootstrap algorithm can be applied in the context of identifying monetary policy shocks.
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