อาคาร 2 ชั้น 9 ธปท.
Extreme Linkages in Financial Markets: Macro Shocks and Systemic Risk
The recent IMF World Economic Outlook (2013) investigates how real and ﬁnancial shocks can cause a sharp increase in cross country output co-movements. This paper looks at the reverse issue by asking how macro regimes of extreme low and high inﬂation or productivity growth are conducive to spillover of ﬁnancial market shocks between major open economies. Using a non-parametric measure we study the largest movements in the US and German equity index returns conditional on a speciﬁc macro regime in one or both of the countries. It is known that the unconditional probability of diﬀerent stock markets crashing jointly is non-negligible, see e.g. Hartmann et al. (2004) and Poon et al. (2004). The results suggest that the factor related to real economy, i.e. industrial production growth, is a major driver behind the extreme loss linkage, but inﬂation is not. One explanation is that monetary policy shocks are absorbed by the exchange rate, whereas technology shocks do spillover.
Stability of Thai Baht: Tales from the Tails
We demonstrate how the EVT-based signalling approach for currency crises can be applied to an individual country with a small sample size. Using Thai historical data, first, we study the tail characteristics of the distributions of two Thai baht instability measures and 21 economic fundamentals. Then, we test asymptotic dependence between the currency instability measures and lagged economic fundamentals. Empirically, we find that the distributions of both currency instability measures and economic variables are heavy tailed. Assuming a normal distribution for the variables tends to underestimate the probability of extreme events. Furthermore, most of the economic variables which are usually used as signalling indicators for currency crises are asymptotically independent of the currency instability measures. Signals issued by these variables are thus not reliable. Nevertheless, the non-parametric EVT approach facilitates the selection of economic indicators with credible signals and high crisis prediction success.