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南京大学经济学系于1978年恢复建系,设有2个本科专业:经济学、财政学。4个硕士专业:政治经济学、国民经济学(投资经济方向)、西方经济学、数量经济学以及理论经济学一级学科博士授权点和理论经济学博士后流动站。
Assessment of poverty has generally been carried out using “money-metric” measures. But since poverty is multidimensional, these measures fall short of generating a comprehensive picture of the poor. ...
区块链技术作为数字货币的底层技术,其在数字货币领域的推广与应用有助于推动数字货币的纵深发展,进而推动数字金融的快速发展。在概述数字货币定义、特征及现状,系统梳理和研究区块链的技术特征及原理的基础上,以区块链技术在比特币中的应用为切入点,从数字货币的信用属性、支付清算效率、交易安全性等方面研究区块链技术在数字货币领域应用的价值前景及发展态势。
选取2006-2014年沪深A股ST公司的财务数据作为样本,采用Logistic回归模型实证分析货币政策波动与企业财务困境风险化解的关系,实证结果表明:货币政策趋紧与企业财务困境风险化解有显著的负相关关系,即货币政策趋紧不利于企业化解财务困境风险;相较于货币政策趋紧对国有困境企业风险化解的负面影响,非国有困境企业在货币政策趋紧时受到的负面影响更为显著。
本文利用1998-2014年中国35个大中城市的年度土地出让面积和成交价格、年度商品房销售面积和销售金额以及央行M2数据,统计分析货币供应量、地价对于房价的影响关系。研究发现,东部地区房价对于地价反应明显,中部和西部对于货币反应明显;相应,不同地区应基于地域特征,分别从土地供应量及结构控制、资金流入及流出控制引导等不同侧重点,结合对市场购房需求的引导,推动房地产市场平稳、健康发展。
在经济新常态下,影响人民币汇率动态稳定的因素更加复杂,这加大了人民币汇率动态管理的难度。本文在现有研究的基础上,构建一个一般均衡模型,并通过贝叶斯方法进行参数估计,进而运用模型参数进行了脉冲响应分析,来模拟动态调整的过程。研究结果显示,技术进步、外部市场需求变动、财政货币政策调整和预期等因素都会影响人民币汇率的动态稳定。因此,目前宏观调控过程中要注重经济内外均衡协调,避免汇率的长期持续失衡,并加强...
We present two alternative approaches for estimating VaR. Both approaches are based on the observation that each trading day is very diverse and we can observe K different phases of the trading day. W...
The aim of this paper is to critically assess Austrian Business Cycle (ABC) theory. Its foundation was laid in Theory of Money and Credit (1912) by Ludwig von Mises, which F. A. Hayek elaborated in mo...
Paper deals with the analysis of investment in the business cycle. Analysis is based on available quarterly data for the Czech Republic since 1st quarter 1999 till 1st quarter 2014. It concludes that ...
The article deals with the liquidity risk in the banks in the context of the financial crisis. At first, the balance sheet and market liquidity are defined and the main principles of the methods for m...
Implementation of monetary policy assumes that monetary policy instruments stabilize O/N interest rates to the proximity of main policy rate to archive monetary targets. The function of stabilizing me...
We consider the problem of utilizing human power to categorize a large number of objects.In this problem, we are given an initial catego-ry hierarchy and a set of objects, and our goal is to find the ...
We develop a new class of time series models to identify nonlinearities in the dataand to evaluate DSGE models. U.S. output growth and the federal funds rate displaynonlinear conditional mean dynamics...
In this note we extend the search-based monetary DSGE model studied in Aruoba and Schorfheide (2010) and introduce liquid capital claims. More specifically, buyers in the decentralized market can use ...
We develop a two-sector monetary model with a centralized and decentralized market. Activities in the centralizedmarket resemble those in a standard New Keynesian economy with price rigidities. In the...

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