环境规制、技术创新与中国火电行业的效率提升

基于效率的视角,本文对2004年中国30个省(自治区、直辖市)火电行业的环境规制进行分析。首先利用三阶段DEA模型排除经营环境与统计噪音对中国火电行业效率的影响,然后从非规制、弱规制、强规制三个层次分析环境规制程度与中国火电行业效率的关系。实证结果表明,环境规制可以提升中国火电行业整体的效率水平,总体上存在技术创新激励效应,但并非适用各个地区。最后本文根据环境规制与技术效率的关系,将中国各地区火电行业的发展模式划分为内力驱动环境友好型、环境弱友好型和外力推动环境友好型三种,并给出各自适应的规制建议。     

The housing price boom of the late 1990s: Did inflation targeting matter?

The recent boom in the housing markets of most developed economies has spurred criticism that inflation targeting central banks may have neglected the build-up of financial imbalances. This paper provides a formal empirical test of such claims, using a standard program evaluation methodology to control for a possible bias due to self-selection into inflation targeting. We consider 17 industrial economies over the period 1980–2007, among which nine countries have targeted inflation at some point. We find robust evidence of a significant positive effect of inflation targeting on real house price growth and on the house price-to-rent ratio.     

国家风险对我国出口贸易效应的实证分析

2008年金融危机导致全球贸易环境恶化,国家风险加大,我国出口贸易规模下降。本文运用回归模型,分析了金融危机前后中国的国别出口规模与其对应进口国的国家风险之间的相关性以及出口市场结构对相关性的影响。论文提出在国家风险评级相对下调的发达市场,中国要缓解出口的下滑,以及在收入水平较低的新兴市场,中国要扩大对其出口规模,及时识别、防范并化解国家风险具有重要意义。论文从出口信用保险的角度为我国化解国家风险、发展对外贸易提出了相关政策性建议。     

Traffic density,congestion externalities,and urbanization in China

ABSTRACT

Although there is an abundant regional literature analyzing traffic congestion, only a few studies have explored extending such analysis with spatial effects. This study uses a dynamic spatial Durbin model and city-level panel data for the period 2003–14 to investigate the spatial spillover effects of traffic congestion on urbanization in China. The results show that there is an inverted ‘U’-shaped relationship between urbanization and traffic density in local and neighbouring cities, and congestion effects have appeared. In the short and long run, the spatial effects of traffic congestion have become an important force restricting the effective promotion of urbanization in China.     

Which covariates should be controlled in propensity score matching? Evidence from a simulation study

Propensity score matching is a widely‐used method to measure the effect of a treatment in social as well as medicine sciences. An important issue in propensity score matching is how to select conditioning variables in estimation of the propensity scores. It is commonly mentioned that variables which affect both program participation and outcomes are selected. Using Monte Carlo simulation, this paper shows that efficiency in estimation of the Average Treatment Effect on the Treated can be gained if all the available observed variables in the outcome equation are included in the estimation of propensity scores. This result still holds in the presence of non‐sampling errors in the observed control variables.     

Dynamic time series momentum of cryptocurrencies

This paper examines the momentum effect for twenty cryptocurrencies compared to the US stock market. For this purpose, we implement a dynamic modeling approach to define and test momentum periods that follow a formation period for interday and various intraday price levels. We find evidence that large proportions of the asset classes’ formation periods are followed by momentum periods, strongly supporting the momentum effect. In particular cryptocurrencies have significantly larger and longer momentum periods in all frequencies which we attribute to the lower derivability of their intrinsic value leading to a higher degree of noise traders in the market. A momentum trading strategy based on the identical approach outperforms a buy-hold strategy for both asset classes, while only cryptocurrencies have higher risk-adjusted returns and lower downside risks than a passive investment. We also find critical price levels during structural elements of the momentum period where the volatility shortly but intensively increases and consequently initiates a price impulse in the direction of the momentum.     

Horse race of weekly idiosyncratic momentum strategies with respect to various risk metrics: Evidence from the Chinese stock market

This paper focuses on the horse race of weekly idiosyncratic momentum (IMOM) with respect to various idiosyncratic risk metrics. Using the A-share individual stocks in the Chinese market from January 1997 to December 2017, we first evaluate the performance of the weekly momentum based on raw returns and idiosyncratic returns, respectively. After that the univariate portfolio analysis is conducted to investigate the return predictability with respect to various idiosyncratic risk metrics. Further, we perform a comparative study on the performance of the IMOM portfolios with respect to various risk metrics. At last, we explore the possible explanations to IMOM as well as risk-based IMOM portfolios. We find that 1) there are prevailing contrarian effect and IMOM effect for the whole sample; 2) the negative relations exist between most of the idiosyncratic risk metrics and the cross-sectional stock returns, and better performance is linked to idiosyncratic volatility (IVol) and maximum drawdowns (IMDs); 3) additionally, the IVol-based and IMD-based IMOM portfolios exhibit better explanatory power to the IMOM portfolios with respect to other risk metrics; 4) finally, higher profitability of IMOM as well as IVol-based and IMD-based IMOM portfolios is found to be related to upside market states, high levels of liquidity and high levels of investor sentiment.     

Forecasting the volatility of asset returns: The informational gains from option prices

A new class of forecasting models is proposed that extends the realized GARCH class of models through the inclusion of option prices to forecast the variance of asset returns. The VIX is used to approximate option prices, resulting in a set of cross-equation restrictions on the model’s parameters. The full model is characterized by a nonlinear system of three equations containing asset returns, the realized variance, and the VIX, with estimation of the parameters based on maximum likelihood methods. The forecasting properties of the new class of forecasting models, as well as a number of special cases, are investigated and applied to forecasting the daily S&P500 index realized variance using intra-day and daily data from September 2001 to November 2017. The forecasting results provide strong support for including the realized variance and the VIX to improve variance forecasts, with linear conditional variance models performing well for short-term one-day-ahead forecasts, whereas log-linear conditional variance models tend to perform better for intermediate five-day-ahead forecasts.     

阿里巴巴并购饿了么的动因和财务风险分析

在经济全球化的背景下,为扩大企业经营规模,并购成为企业很好的选择。论文以阿里巴巴收购饿了么为例,研究阿里巴巴收购饿了么的动因,分析并购为阿里巴巴这个典型的互联网企业带来的财务风险,并为互联网企业的并购提供宝贵的建议。     

SMW围护结构施工技术

文章结合天津地铁1号线二纬路站SMW围护结构的施工,介绍了其施工工艺、方法及为保证其止水效果所采取的技术措施。