|
Sort Order |
|
|
|
Items / Page
|
|
|
|
|
|
|
Srl | Item |
1 |
ID:
078039
|
|
|
Publication |
2007.
|
Summary/Abstract |
In the presence of de jure capital account inconvertibility, but in spite of high trade openness of China, existing empirical work, using daily data, has not found any evidence of international financial integration of its A-share market. In this paper we shed new light on this issue, examining a long sample of active trading, over 1992-2005, within the framework of a regime-switching error correction model, with a major focus on the role of temporal aggregation. With end-of-week closing prices we do not find any long run relationship between the Shanghai market and either the New York or the Hong Kong market, thus replicating previous findings. However, with weekly-averaged indices, up to late 1996, the Shanghai index was cointegrated with the S&P 500. Subsequently, this relationship broke down and a long run relationship with the Hang Seng index gradually arose. Information flows, as well as the prospects of de jure financial opening, and the growing awareness of valuation concepts among Chinese domestic investors, in the presence of identical fundamentals (multiple listing of Mainland firms), help explain the evidence of long run financial integration in spite of capital controls
|
|
|
|
|
|
|
|
|
|
2 |
ID:
136063
|
|
|
Summary/Abstract |
Despite of the fact that poverty is one of the major issues concerning policy makers, it has received less attention with respect to its linkages with services sector growth. In this research study, an attempt was made to quantitatively explore the nexus between growth in services sector of Pakistan and its poverty reducing impact. A time series data ranging from 1951 to 2010 were used in this study. The services sector was disaggregated into six sub-sectors. An Augmented Dickey–Fuller test was applied to check the stationarity of the data. An Auto-Regressive Distributed Lag approach to co-integration and error correction model was applied to estimate long- and short-run coefficients, respectively. The results of the study indicate that growth in wholesale and retail trade and the ownership of dwelling reduce poverty only in the short run. Growth in finance and insurance worsen poverty. The greatest impacts on poverty reduction occur as result of growth in community services (CS) and transportation, storage and communication (TSC). Among all variables, community services were found highly significant with the coefficients 0.62 and 0.308 in the long run and short run respectively. Therefore, it was concluded that relatively more stress should be given on community services such as education, and health, etc., in order to reduce poverty in Pakistan.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|