Liquidity operations during the financial crisis 2008/09: evidence from the relations between Korean won onshore and offshore markets

This paper addresses the interrelation of onshore and offshore markets before and after the Bank of Korea intervened in 2008/09. During the financial crisis, Korea faced a liquidity crunch and leveraged its high level of reserves to conduct swap agreements in late 2008. To analyse how the reforms affected the mean and volatility spillover in between the spot and NDF markets, an extended GARCH model is used. The main findings of this paper are that prior to the financial crisis, the spot market dominated the offshore market. This changed after South Korea addressed the won’s liquidity crunch at the height of the crisis. Mean and volatility spillover between the markets diminished and the price gap narrowed. In addition to the empirical results, the paper also underlines the significance of liquidity and robust capital requirements for central banks.     

A novel cluster HAR-type model for forecasting realized volatility

This paper proposes a cluster HAR-type model that adopts the hierarchical clustering technique to form the cascade of heterogeneous volatility components. In contrast to the conventional HAR-type models, the proposed cluster models are based on the relevant lagged volatilities selected by the cluster group Lasso. Our simulation evidence suggests that the cluster group Lasso dominates other alternatives in terms of variable screening and that the cluster HAR serves as the top performer in forecasting the future realized volatility. The forecasting superiority of the cluster models are also demonstrated in an empirical application where the highest forecasting accuracy tends to be achieved by separating the jumps from the continuous sample path volatility process.     

中蒙俄经济走廊建设中内蒙古与蒙、俄产能一体化分析——以钢铁、水泥为例

在“一带一路”倡议背景下,内蒙古凭借地缘优势、人文优势正在积极参与中蒙俄经济走廊的建设,并发挥着重要作用。内蒙古通过对蒙、俄输出钢铁和水泥,对促进内蒙古的经济增长起到了一定的积极作用。本文利用TVP－VAＲ模型实证检验证实,内蒙古对蒙、俄在钢铁、水泥的产能输出,短期内对第二产业的增长影响较为显著,但中期影响减弱,长期影响不明显。因此,内蒙古应抓住机会,通过产能一体化进一步化解钢铁、水泥过剩产能,从而实现产业结构升级和创新发展。     

Systemic event prediction by an aggregate early warning system: An application to the Czech Republic

This work develops an early warning framework for assessing systemic risks and predicting systemic events over a short horizon of six quarters and a long horizon of 12 quarters on a panel of 14 countries, both advanced and developing. First, we build a financial stress index to identify the starting dates of systemic financial crises for each country in the panel. Second, early warning indicators for the assessment and prediction of systemic risk are selected in a two-step approach; we find relevant prediction horizons for each indicator by a univariate logit model followed by the application of Bayesian model averaging to identify the most useful indicators. Finally, we observe the performance of the constructed EWS over both horizons on the Czech data and find that the model over the long horizon outperforms the EWS over the short horizon. For both horizons, out-of-sample probability estimates do not deviate substantially from their in-sample estimates, indicating a good out-of-sample performance for the Czech Republic.     

Properties of Census Dual System Population Size Estimators

We study parametric and non‐parametric approaches for assessing the accuracy and coverage of a population census based on dual system surveys. The two parametric approaches being considered are post‐stratification and logistic regression, which have been or will be implemented for the US Census dual system surveys. We show that the parametric model‐based approaches are generally biased unless the model is correctly specified. We then study a local post‐stratification approach based on a non‐parametric kernel estimate of the Census enumeration functions. We illustrate that the non‐parametric approach avoids the risk of model mis‐specification and is consistent under relatively weak conditions. The performances of these estimators are evaluated numerically via simulation studies and an empirical analysis based on the 2000 US Census post‐enumeration survey data.     

Intraday bidirectional volatility spillover across international stock markets: does the global financial crisis matter?

This article studies volatility spillover between the US and the three largest European stock markets (Frankfurt, London and Paris) around the time of the recent Subprime crisis. In order to investigate the impact of the latter, we break our sample down into two sub-periods: a pre-crisis period and a post-crisis period, using a structural break test that has the advantage of endogenously testing for further breaks in the data. Unlike previous studies that have frequently investigated this issue using low frequency data, our article makes use of intraday data. Accordingly, using Threshold generalized autoregressive conditional heteroscedasticity (GARCH) model estimations, we find weak evidence of volatility transmission between the two regions before the Subprime crisis. However, during the post-crisis period, we record returns and volatility spillover from US to European markets and vice versa at different times of the trading day, indicating that the two regions became more dependent during the recent Subprime crisis, a finding that supports the contagion hypothesis between the US and European stock markets.     

Analysing job creation effects of scaling up infrastructure spending in South Africa

In a first for South Africa, this article draws on literature on infrastructure productivity to model dynamic economy-wide employment impacts of infrastructure investment funded with different fiscal tools. Using a dynamic computable general equilibrium model, the South African investment plan is modelled, given the infrastructure externality. Alternative fiscal scenarios to finance the policy are modelled in the article. In the long run, unemployment decreases for all types of workers under one of the scenarios. In the short run, only elementary occupation workers benefit from a decrease in unemployment; for the rest, unemployment rises.     

The World Is Not Enough! Small Open Economies and Regional Dependence

In this paper, we explicitly introduce regional factors into a global dynamic factor model. We combine new open economy factor models (emphasizing global shocks) with the recent findings of regional importance in the business cycle synchronization literature. The analysis is applied to a large panel of domestic data for four small open economies. We find that global and regional shocks explain roughly 30 and 20 percent, respectively, of the business cycle variation in all countries. While global shocks have most impact on trade variables, regional shocks explain a relatively large share of the variation in cost variables.     

Converting retirement benefit into a life care annuity with graded benefits*

This paper deals with life care annuities, i.e. bundled products comprising a life annuity and long-term care insurance. It aims to assess the cost of converting retirement benefit into a life care annuity with graded benefits using a pre-existing public pay-as-you-go pension scheme. With this objective in mind, we present an actuarial method based on array calculus for valuing this type of life care annuity. The health dynamics of the annuitant rely on a reversible illness-death multistate framework. The paper contains a numerical example in which mortality and disability assumptions are based on data from the USA and Australia, although this should be viewed simply as an illustration. In addition, in order to check the coherence of these data, we compute life expectancy for both healthy and dependent persons, and then for dependent persons in each of the states of dependence. The effect of ruling out the recovery assumption on the annuity’s cost is also assessed. The analysis provides valuable insights into how much it would cost to introduce these annuities and enables us to make some policy recommendations to help ensure that this combined pension scheme has a good actuarial design.     

Location choice in low-income countries: Evidence from Japanese investments in East Asia

Unlike most existing studies, this paper examines the location choices of multinational enterprises (MNEs) in low-income countries. Specifically, we investigate the location choices of Japanese MNEs among East Asian developing countries by estimating a four-stage nested logit model and a mixed logit model at the province level. Our findings are as follows. First, Japanese MNEs consider Cambodia, Laos, Myanmar, and Vietnam to be host countries different from China and the forerunners of ASEAN. In other words, for Japanese investors, ASEAN forerunners are countries replaceable by China. Second, the mechanics of vertical FDI are more likely to appear in FDIs in low-income countries. For example, rather than the market size of the host country, tariff rates on products from investing countries are more crucial location elements.