In recent years, the total GDP of myanmar has been increasing year by year. The year of 2018, the CPI growth rate reached 6.9%, although, the GDP growth rate of myanmar has increased to 6.8%, High economic growth and high inflation coexist. Myanmar’s unemployment rate is at a low level, stable at less than 2 percent. The import and export trade is in deficit. The net inflow of FDI is at a relatively stable low level. But there has been a big increase since 2010.In terms of international balance of payments, since 2012, with a large influx of foreign investment into myanmar’s infrastructure and other industries, the import demand for machinery and equipment has expanded significantly, and myanmar’s current account deficit has significantly expanded.

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From 2012 to 2018, the annual GDP growth rate of Cambodia exceeded 7%, maintaining rapid development for 7 consecutive years, and it is one of the fastest economic growth rates among developing countries in Asia in recent years. The overall unemployment rate is low, the inflation is moderate and controllable, the trade deficit between import and export, the net inflow of foreign direct investment is increasing by years, and the foreign exchange reserve is growing steadily. In the future, the macro economy of Cambodia will continue to maintain a strong growth momentum.

In recent years, the economy of Bangladesh has a rapid growth, with the total GDP increasing by years, reaching $274 billion in 2018. GDP per capita is relatively low, but it grows steadily every year. GDP growth has been above 7% since 2016, and reached 7.86% in 2018.Bangladesh’s unemployment rate remains around 4.2%; the rate of inflation is generally on the decline, and the total volume of imports and exports increases steadily. But, its import and export trade has been in deficit, and the deficit has been expanding by years. Foreign direct investment is at a low level, accounting for less than 2% of GDP. The current account balance fluctuates in a large range, and it ran a current account deficit in 2017.

-we build the threshold-based state-dependent autoregressive jump intensity-GARCH model to study smooth fluctuations and jump changes of individual stocks listed in China. It makes the jump intensity not only driven by idiosyncratic factors, but impacted by external state variables. Comparing with the existing models, it boasts better goodness of fit and explanatory ability. It not only can more clearly describe the time variation, clustering and threshold-based state-dependence of jump changes as well as capture the asymmetry and clustering in normal volatility, but also can better illustrate the risk contagion between cross-shareholding companies.