Range-based multivariate volatility model with double smooth transition in conditional correlation

This paper proposes a multivariate model named Double Smooth Transition Conditional Correlation Conditional Autoregressive Range (DSTCC-CARR for short). Determined by two transition variables, the correlations smoothly transit from one state to another. Together with the DSTCC-GARCH model, the model is employed to investigate the interdependence between Hong Kong's and international stock markets. It is proved by the empirical analysis that the DSTCC-CARR model is more credible and efficient than the DSTCC-GARCH model. Linkages among Hong Kong's and other world's markets captured by these two models are testified to be consistent with history, and have meaningful interpretations.     

基于pair-copula的社保基金投资组合风险测度研究

社保基金是社会保障事业健康发展的基石,风险管理是社保基金保值增值的关键问题之一。提出了pair-copula-GARCH-EVT模型以测度社保基金投资组合风险,与传统的n维copula-GARCH-EVT模型相比,该模型不仅考虑了维数的影响,而且还能灵活地选择copula的类型。实证研究发现,基于pair-copula-GARCH-EVT的模型测度社保基金投资组合风险的准确性要高于传统的copula-GARCH-EVT模型。     

Categorization of tourist attractions and the modeling of tourist cities: based on the co-plot method of multivariate analysis

This paper examines the relation between the trip characteristics of tourists and the attractions that they visit. This analysis was made possible by means of a new method of multivariate analysis—co-plot—that enables the simultaneous analysis of observations and variables and the graphic presentation of the interrelations among them. Jerusalem was seen as an “ideal” city for the demonstration of the co-plot method of data analysis due to the heterogeneity of its tourism. The research was conducted between September 1998 and March 1999. The results of the statistical analysis show that Jerusalem's tourist attractions can be categorized into four distinct groups and that there is a tendency of spatial concentration among sights belonging to the same group. Based on these results, a spatial model of tourism consumption in large cities was developed.     

Testing export-led growth in Bangladesh in a multivarate VAR framework

Although the link between trade and growth has long been discussed, systematic empirical investigation of the relationship has been undertaken only relatively recently. A number of time-series studies exist for individual countries in the area of export-led growth, but for Bangladesh there has been little work in this area. This study seeks to bridge an important gap in the literature, and is perhaps the first to use Johansen's multivariate framework taking the terms of trade as an additional variable for Bangladesh. The findings suggest that the direction of both long and short-term causality is from income to exports. This result is hardly surprising as, for most of the period covered, Bangladesh has followed an inward-looking strategy of development that discriminated against exports.     

The response of term rates to monetary policy uncertainty

This paper shows that greater uncertainty about monetary policy can lead to a decline in nominal interest rates. In the context of a limited participation model, monetary policy uncertainty is modeled as a mean preserving spread in the distribution for the money growth process. This increase in uncertainty lowers the yield on short-term maturity bonds because the household sector responds by increasing liquidity in the banking sector. Long-term maturity bonds also have lower yields but this decrease is a result of the effect that greater uncertainty has on the nominal intertemporal rate of substitution—which is a convex function of money growth. We examine the nature of these relations empirically by introducing the GARCH-SVAR model—a multivariate generalization of the GARCH-M model. The predictions of the model are broadly supported by the data: higher uncertainty in the federal funds rate can lower the yields of the three- and six-month treasury bill rates.     

商业银行操作风险内部衡量法及其应用研究

内部衡量法是巴塞尔委员会推荐使用的操作风险高级计量法中的主要方法之一,是标准法与其他高级法之间的一种过渡方法。在新资本协议实施中,它成为操作风险度量的主要方法。本文从操作风险预期损失EL和总资本要求计算方法入手,分别运用保险精算法与Copula函数对内部衡量法进行了深入的研究,提出了基于中等频数和中等损失情况下的内部衡量法计算公式,并设计了一个通过内部衡量法度量操作风险的使用框架。     

Long-run equilibrium, short-term adjustment, and spillover effects across Chinese segmented stock markets and the Hong Kong stock market

This paper adopts a novel FIVECM-BEKK GARCH approach to examine the bilateral relationships among the A-share and B-share stock markets in China and the Hong Kong stock market. The evidence shows that these stock markets are fractionally cointegrated. Analyses of the spillover effects across these markets indicate that the A-share markets are most influential. The relaxation of government restrictions on the purchase of B shares by domestic residents accelerates the market integration process of A-share markets with the B-share and Hong Kong markets. The effects of the Asian crisis on the stock-return dynamic correlations vary across these markets.     

Order aggressiveness and order book dynamics

In this paper, we study the determinants of order aggressiveness and traders’ order submission strategy in an open limit order book market. Applying an order classification scheme, we model the most aggressive market orders, limit orders as well as cancellations on both sides of the market employing a six-dimensional autoregressive conditional intensity model. Using order book data from the Australian Stock Exchange, we find that market depth, the queued volume, the bid-ask spread, recent volatility, as well as recent changes in both the order flow and the price play an important role in explaining the determinants of order aggressiveness. Overall, our empirical results broadly confirm theoretical predictions on limit order book trading. However, we also find evidence for behavior that can be attributed to particular liquidity and volatility effects.

外债风险预警模型及中国金融安全状况评估

本文提出了一个用于预警一国外债风险的动态模型 ,即多元累计和模型。模型的用户 (债权人和债务国 )能很早地预测到可能导致债务国重订债务期限的金融危机。实证分析结果表明 ,模型具有提前 3年探测到债务国潜在的还债困难的能力。对中国经济金融安全状况的评估结果表明 ,模型可提前 1年发出预警信号。