中国贸易条件变动趋势分析——基于1993-2017年月度数据的研究

基于1993-2017年月度数据研究发现:中国三大贸易条件指数(2010=100)中价格贸易条件上下波动明显,标准差为6.0;收入贸易条件长期稳步上升,近三年相对于最高点下降了15%~20%;要素贸易条件一直呈上升趋势,标准差为66.2.人民币汇率一次性大幅度变动时,中国价格贸易条件有显著变动.人民币显著升值时,价格贸易条件马上明显改善,但维持时间不长,随后又发生逆转.人民币一次性大幅度贬值导致价格贸易条件长期恶化有一定的时滞.国外发生经济或金融危机而中国宏观经济较稳定发展期间,中国价格贸易条件改善.为此,我国应积极推动人民币汇率向均衡汇率靠拢,针对性地采取限产计划,以提升国际分工地位,从根本上改善贸易条件和增加经济福利.     

Annual report readability and corporate agency costs

Annual reports are the main sources of information for outside investors’ investment decisions and enable shareholders to supervise the management. Difficulties with the readability of these reports may therefore have serious consequences. Using 19,221 firm-year observations of Chinese A-share listed firms from 2001 to 2015, we investigate the association between annual report readability and corporate agency costs, where readability is proxied by report file length and/or file size. We find that firms with better annual report readability experience lower agency costs, and the negative association between readability and agency costs is more pronounced in firms with higher external audit quality, internal control quality or analyst coverage. These results hold after several robustness checks. The positive effect of annual report readability is stronger in private firms than in state-owned enterprises, and becomes stronger after the implementation of new accounting standards in 2007. Readable annual reports can help in monitoring corporate insiders’ opportunistic behavior and thus reduce agency costs.     

The Indonesian macroeconomy and the yield curve: A dynamic latent factor approach

We develop a fine representation of the term structure of interest rates in Indonesia and create a link between the yield curve and macroeconomic fundamentals. We construct a state-space representation of the yield curve as a function of three time-varying parameters: level, slope, and curvature factors. The model is then expanded to include three macroeconomic variables: real activity, inflation, and interest rates. We find that the dynamic latent factor model provides a very good fit to characterise the Indonesian yield curve in terms of the statistical properties for each maturity, and in terms of the properties of three latent yield-curve factors. With regards to the relationship to the macroeconomy, we find that there is a large amount of idiosyncratic variation in the yield curve movements. Therefore, macroeconomic variables can only explain small dynamics in the yield curve.     

Cost-benefit analysis of airport security: Are airports too safe?

This paper assesses the risks and cost-effectiveness of measures designed to further protect airport terminals and associated facilities such as car parks from terrorist attack in the U.S., Europe, and the Asia-Pacific area. The analysis considers threat likelihood, the cost of security measures, hazard likelihood, risk reduction and expected losses to compare the costs and benefits of security measures to decide the optimal security measures to airports. Monte-Carlo simulation methods were used to propagate hazard likelihood, risk reduction and loss uncertainties in the calculation of net benefits that also allows probability of cost-effectiveness to be calculated. It is found that attack probabilities had to be much higher than currently observed to justify additional protective measures. Overall, then, it is questionable whether special efforts to further protect airports are sensible expenditures. Indeed, some relaxation of the measures already in place may well be justified.     

Why you should care about the Target data breach

Data breaches are becoming more frequent and more damaging to the bottom line of many businesses. The Target data breach marked the beginning of increased scrutiny of cybersecurity practices. In the past, data breaches were seen as a cost of doing business, but Target's negligence and the scale of the data loss forced businesses and the courts to reevaluate current practices and regulatory frameworks. Businesses must make strategic use of their chief information officers, adopt cybersecurity best practices, and effectively train their employees to respond to growing security threats. They must also shape the cybersecurity narrative to influence regulatory responses to these threats.     

Factor substitution and taxation in a finance constrained economy

In this paper, we examine the effects of constant-rate factor taxation on macroeconomic stability in the Woodford (1986) model. Our focus is on how the degree of factor substitution, as measured by the elasticity of factor substitution (EOS) in production, affects different balanced-budget tax rules. Analytically, we show that indeterminacy can occur under capital income taxation only when the EOS is very low, whereas indeterminacy under labor income taxation is not subject to the EOS restriction. This finding is robust when we tax all of the factor incomes with equal rates. Thus, in terms of macroeconomic stability, taxing capital income is preferred to taxing labor income.     

FDI in Sub-Saharan Africa: A longitudinal perspective on location-specific factors (2003–2010)

This paper examines the characteristics of Location Specific Factors (LSFs) in Sub-Saharan Africa (SSA) regarding inward Foreign Direct Investment (FDI) by Multinational Enterprises (MNEs). Exploratory Factor Analysis (EFA) of 758 MNEs in 2003, 1216 in 2005 and 2402 in 2010 is used to compare the variability in LSFs in ten, 15 and 19 SSA countries respectively. We find firstly the most powerful factors, influencing the political-economy and trade dynamics of hosts to FDI, stable over time. Secondly, by 2010, production inputs become the most important factor for FDI followed by political-economic stability. This result reflects findings in International Business (IB) literature. Policy implications point to unwavering need by SSA to reduce transaction costs for FDI; increase the predictability of the policy environment; and increase the productivity-adjusted cost efficiency of inputs.     

阿联酋粮食战略储备项目的先进性和创新性

阿联酋粮食战略储备项目，筒仓仓容276760 t，粮食品种为小麦和稻谷，项目建设点储粮环境恶劣，图纸审查严格，整个项目设计均采用最先进的技术，并严格遵循欧美规范和标准进行设计。     

Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes

This paper contributes to the nascent literature on nowcasting and forecasting GDP in emerging market economies using big data methods. This is done by analyzing the usefulness of various dimension-reduction, machine learning and shrinkage methods, including sparse principal component analysis (SPCA), the elastic net, the least absolute shrinkage operator, and least angle regression when constructing predictions using latent global macroeconomic and financial factors (diffusion indexes) in a dynamic factor model (DFM). We also utilize a judgmental dimension-reduction method called the Bloomberg Relevance Index (BRI), which is an index that assigns a measure of importance to each variable in a dataset depending on the variable’s usage by market participants. Our empirical analysis shows that, when specified using dimension-reduction methods (particularly BRI and SPCA), DFMs yield superior predictions relative to both benchmark linear econometric models and simple DFMs. Moreover, global financial and macroeconomic (business cycle) diffusion indexes constructed using targeted predictors are found to be important in four of the five emerging market economies that we study (Brazil, Mexico, South Africa, and Turkey). These findings point to the importance of spillover effects across emerging market economies, and underscore the significance of characterizing such linkages parsimoniously when utilizing high-dimensional global datasets.     

The impact of shareholders and creditors rights on IPO performance: An international study

This paper examines the impact of cross-country variation in shareholders' and debt holders' rights on post-IPO performance and survival of newly listed stocks across the globe. Using a sample of 10,490 initial public offerings (IPOs) in 40 countries between 2000 and 2013, we find that post-IPO performance and survival is better in countries with stronger shareholder protection, but the impact of creditor protection is negative i.e. stronger creditor protection leads to poor post-IPO performance and survival. This effect is driven by rules requiring creditors’ consent for company reorganization and the mandatory replacement of incumbent managers. Reputable IPO advisors exacerbate the positive impact of shareholder rights and the negative impact of creditor rights.