Unemployment insurance benefits and income smoothing

Labor unemployment insurance reduces unemployment concerns. We argue that these benefits moderate incentives to smooth earnings to reduce employees’ concerns about unemployment risk. Using exogenous variations in unemployment insurance benefits, we find evidence consistent with this argument. We also find that the link between unemployment insurance benefits and income smoothing is stronger when there is higher unemployment risk and when the firm is likely to employ more low-wage workers, who find unemployment insurance benefits especially useful. Our paper contributes to the literature by showing that public policy decisions such as unemployment insurance have significant, albeit probably unintended, externalities on corporate financial reporting.     

私人银行业务法律问题研究

我国经济的稳步增长带来了社会财富总量的扩大和个人财富的集中,这为私人银行业务带来了巨大的市场发展潜力,中外资商业银行都在积极抓住这一难得的历史机遇。在为客户提供私人银行服务的同时,中外资商业银行也必须关注新兴业务带来的法律风险,并采取有效的措施加以防范。本文在对私人银行业务的发展历史、特点、现状进行详细分析的基础上,提出:现阶段法律法规应明确界定私人银行机构的业务范围以及私人银行机构与客户的关系,完善外汇管理方面的法律法规,同时私人银行机构也要关注反洗钱方面的监管规定,确保依法合规开展私人银行业务。     

Economic policy uncertainty and stock price crash risk

This paper studies the impact of economic policy uncertainty on stock price crash risk using data from China. We develop a new index to measure Chinese economic policy uncertainty and find that economic policy uncertainty has a remarkable positive effect on stock price crash risk. However, the effect reverses later. The results also indicate that the positive effect of economic policy uncertainty on stock price crash risk is more prominent for state‐owned enterprises. Moreover, this effect is more prominent for firms with higher information asymmetry and firms with greater disagreement among investors, indicating that economic policy uncertainty affects crash risk through two mechanisms: managers’ concealment of bad news and investors’ heterogeneous beliefs.     

Does corporate social responsibility reduce financial distress risk?

This paper examines how corporate social responsibility (CSR) affects the level of financial distress risk (FDR). Using a sample of 1201 US-listed firms during 1991–2012, our results indicate that firms with higher CSR levels have lower FDR, suggesting that a better CSR performance makes firms more creditworthy and have better access to financing, which is rewarded with less financial defaults. This finding is robust to using alternative proxies of FDR, to controlling for potential endogeneity, and is mainly driven by the community, diversity, employee relations, and environmental dimensions of CSR. Moreover, this relationship is more prevalent in firms with strong governance mechanisms and high product market competition. It is also more exacerbated for less distressed firms and during non-crisis periods. Overall, our findings suggest that the adoption of CSR practices comes with less distress and default risks, likely leading to a more attractive corporate environment, better financial stability and more crisis-resilient economies.     

Risk Preferences,Production Risk and Firm Heterogeneity*

A new technique is proposed for deriving the risk preference function under production risk and expected utility of profit maximization. The derivation depends on neither a specific parametric form of the utility function nor any distribution of the error term representing production risk. The proposed risk preference function is flexible enough to test different types of risk behavior and symmetry of the output distribution. Furthermore, our production risk specification allows for inputs with positive and negative marginal risk. The econometric model accommodates production risk, risk preferences and firm heterogeneity simultaneously. Norwegian salmon farming data are used as an application.     

农业高新技术投资项目风险评价

The agricultural high-teeh investment project （AHIP） is eharaeterized by technology-intensive, high risk and great profit. This article analyzes essential factors of the risks of the agricultural high-tech investment projects and the traditional risk evaluation method of agrtcultral projects. We think that the applications of the sensitivity, analysis and probability ore defer. Therefore; this article introduces a structural model to evaluate the risks of the agricultural high-tech investment projects and the system of the concrete evaluation indexes.     

Offshoring and employment structure in the EU periphery: the case of Spain

The effects of offshoring of production have received a great deal of interest due to their implications on labour markets. However, the main theoretical predictions related to this issue are not always fulfilled in the empirical analysis; according to the Stolper–Samuelson theorem, there seems to be unanimous support for its effects in advanced countries whose production is relocated but not at all for recipient economies of the same. Additionally, there is a lack of empirical evidence in countries specialized in unskilled-labour tasks which are, at the same time, economies with higher relative wages in a global framework such as the Spanish economy. In this sense, the aim of this article is to analyse the effects of material offshoring in the relative composition of employment in the Spanish manufacturing industry during the period 1990–2007. Furthermore, we investigate the effects of immigrant labour and the temporary employment rate due to its increasing relevance in the Spanish economy during the period analysed. Using a generalized methods of moments (GMM) approach, our results suggest that, as opposed to most developed countries, offshoring in Spain has favoured the demand for blue-collar workers. In addition, we confirm that the increase in immigration and the increasing use of temporary contracts have enlarged the share of low-skilled workers.     

Funding liquidity risk and the low-volatility anomaly: Evidence from the Taiwan stock market

We investigate whether the funding liquidity risk to institutional investors influences the negative relation between expected returns and variance (the ‘‘Low-volatility anomaly’’). With the Taiwan stock market as a setting, we implement a multivariate Markov switching model and use the funding liquidity risk to model the time-varying transition probabilities of the regime-switching process to capture changes in the funding liquidity risk regime. Our evidence documents that the low-volatility anomaly is most pronounced when there is high funding liquidity risk. When there is low funding liquidity risk, however, the low-volatility anomaly has a significant reversal. These results imply that the increased funding liquidity risk due to financial shock transmitted from parent banks is associated with higher selling pressure on institutional investors’ high-volatility stocks, leading to the low-volatility anomaly.     

关于资产证券化及会计处理的探讨

资产证券化是金融创新浪潮中崛起的一种主流融资技术。它使贷款成了具有流动性的证券,盘活企业的存量资产,并优化其财务比率。然而,也相应地引发了一系列的会计问题。主要集中在转让方式或出售方式的会计确认、定价计量、会计报表合并及报表披露。     

Identifying crime generators and spatially overlapping high-risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain)

The behavior and spatial distribution of crime events can be explained through the characterization of an area in terms of its demography, socioeconomy, and built environment. In particular, recent studies on the incidence of crime in a city have focused on the identification of features of the built environment (specific places or facilities) that may increase crime risk within a certain radius. However, it is hard to identify environmental characteristics that consistently explain crime occurrence across cities and crime types. This article focuses on the assessment of the effect that certain types of places have on the incidence of property crime, robbery, and vandalism in three cities of the Valencian region (Spain): Alicante, Castellon, and Valencia. A nonlinear effects model is used to identify such places and to construct a risk map over the three cities considering the three crime types under research. The results obtained suggest that there are remarkable differences across cities and crime types in terms of the types of places associated with crime outcomes. The identification of high-risk areas allows verifying that crime is highly concentrated, and also that there is a high level of spatial overlap between the high-risk areas corresponding to different crime types.