Investor protection,regulation and bank risk-taking behavior

This paper examines whether the influence of investor protection on banks’ risk is channeled through banking regulation, and vice-versa, using panel data from a sample of 567 European and US banks for the 2004–2015 period. As banking regulatory factors, we consider capital stringency, activity restrictions and private monitoring, whereas as investor protection factors, we consider the level of shareholder and creditor protection. We find that banking regulation moderates the positive direct influence of investor protection on banks’ risk, while investor protection reinforces the negative direct influence of banking regulation on risk. Moreover, we show that the negative effect of national regulations on banks’ risk is more pronounced during systemic crisis years. Finally, taking into account market competition, we argue that private monitoring only has a direct effect on banks’ risk, whereas the effects of capital stringency and activity restriction are channeled through market competition.     

自然灾害背景下农村金融消费者权益保护问题探讨

目前，农村金融消费者权益保护工作力量薄弱，自然灾害对农村金融消费者影响较大；同时，金融产品设计对农村金融消费者权益保护考虑不足。为保护农村金融消费者权益，并最大限度地规避自然灾害给农户带来的经济损失，应循序渐进、阶段性地推动金融消费立法，完善农村金融服务体系，构建农村金融消费者自然灾害权益保护机制，开展针对农村金融消费者的常态化宣传教育活动。     

Intellectual property rights in a quality-ladder model with persistent leadership

This paper analyzes the effects of intellectual property rights in a quality-ladder model of endogenous growth in which incumbent firms preemptively innovate in order to keep their position of leadership. Unlike in models with leapfrogging, granting forward protection, and imposing a non-obviousness requirement reduces growth. In the main case where entrants and incumbents have free access to the same R&D technology, infinite protection against imitation, granted independently of the size of the lead, maximizes growth. If entrants have to engage in costly catch up before they can undertake frontier R&D, growth is maximal for a finite (expected) length of protection against imitation.     

Do economic institutions matter for trade liberalization? Evidence from China’s Open Door Policy

Trade liberalization can promote export by inducing better resource allocation and more advanced technologies. Although the literature emphasizes the mechanism of geographic proximity, this paper identifies an institutional effect. Using infant mortality rate as an instrument that is irrelevant to export and geographic effects, we confirm that the openness due to China’s Open Door Policy promotes firm exports. We further document that the positive relationship between openness and firm exports is mediated by property rights protection and corporate autonomy, either of which reflects institutional quality at the constraint on the government’s strategic behavior. In particular, our estimates are robust to different samples, different estimation methods, and endogeneity bias.     

When do retail investors pay attention to their trading platforms?

Buying and selling securities through online trading platforms has become increasingly popular among U.S. households in recent years. This study tracks U.S. households' attention to their online trading platforms using daily data for 2004 to August 2017. The analysis covers the 10 most popular online trading platforms among U.S. investors. The findings indicate that market shocks, captured by several proxies, as well as macroeconomic announcements attract investors' attention to trading platforms. We also document that the ostrich effect weakens when considering greater changes in the VIX. Our findings do not support the avoidance of information theory, but do support the theoretical argument that risk-averse agents engage in more information gathering when uncertainty prevails in hopes of reducing their risks.     

S&P 500 Affiliation and Stock Price Informativeness

Abstract

When firms are added to a stock index, more information should be discovered, traded on, and incorporated into their stock prices, making them more informative. We test this hypothesis using a large sample of additions to the S&P 500 index. Using two alternative statistical tests, we find that the stocks added experience more random, less predictable return and, thus, appear to be priced more efficiently information-wise. We further find concurrent increases in institutional ownership and investor awareness, which tend to contribute to the higher pricing efficiency, adding to the literature. These findings should be of interest to academics and practitioners.     

Islamic and conventional portfolios optimization under investor sentiment states: Bayesian vs Markowitz portfolio analysis

This paper investigates the portfolio optimization under investor’s sentiment states of Hidden Markov model and over a different time horizon during the period 2004–2016. To compare the efficient portfolios of the Islamic and the conventional stock indexes, we have employed two approaches: the Bayesian and Markowitz mean-variance. Our findings reveal that the Bayesian efficient frontier of Islamic and conventional stock portfolios is affected by the investor’s sentiment state and the time horizon. Our findings also indicate that the investor’s sentiment regimes change the Islamic and the conventional optimal diversified portfolios.Moreover, the results show that the potential diversification benefits seem to be more important when using the Bayesian approach than when applying the Markowitz approach. This finding is valid for the bearish, depressed, bullish and calm states in Islamic stock markets. However, the diversification of potential portfolios is significant only for the bullish and the bubble states in the conventional financial markets.The findings of the study provided additional evidence for investors to exploit googling investor sentiment states to evaluate the portfolio performance and make an optimal portfolio allocation.     

The risk-based approach under the new EU data protection regulation: a critical perspective

Abstract

The first broad reform of personal data protection legislation in the European Union entered into force in May 2018 (Regulation (EU) 2016/679, the General Data Protection Regulation). Remarkably, with this reform a risk-based approach has been introduced as the core data protection enforcement model, while data protection authorities see their regulatory role significantly weakened. The risk-based approach is to be implemented by the data controllers (i.e. the operators) via data protection impact assessments (evoking the established environmental impact assessment procedure) and notification of breaches, among other procedures. Hence the scope of both the concepts of risk and risk regulation spread beyond conventional domains, namely the environment, public health or safety, i.e. physical risks, to encompass risks to intangible values, i.e. individual rights and freedoms, presumably harder to assess and manage. Strikingly, the reform has been accompanied by a confident discourse by EU institutions, and their avowed belief in the reform’s ability to safeguard the fundamental right to data protection in the face of evolving data processing techniques, specifically, big data, the Internet of Things, and related algorithmic decision-making. However, one may wonder whether there isn’t cause for concern in view of the way the risk-based approach has been designed in the data protection legislation. In this article, the risk-based approach to data protection is analysed in the light of the reform’s underlying rationality. Comparison with the risk regulatory experience in environmental law, particularly the environmental impact assessment procedure, is drawn upon to assist us in pondering the shortcomings, as well as the opportunities of the novel risk-based approach.     

济南市古生物化石赋存特征及保护区划研究

为贯彻《古生物化石保护条例》,提高济南市古生物化石保护水平,在对区内古生物化石资源进行野外勘查和综合整理的基础上,依据古生物化石鉴定结果及其赋存地层分布特征,得出济南市古生物化石的分布特征,划分了古生物化石产地,选择化石完整程度、富集程度、剖面出露程度、周边地质环境、工程活动影响五个评价因子,运用综合指数法,建立了符合济南实际的古生物化石保护区划分体系,将区内古生物化石产地进行了保护区分级,并按照“保护优先,结合实际”的原则,制定了符合济南市实际的古生物化石保护措施。     

Does Investor Sentiment Affect the Value Relevance of Accounting Information?

We investigate whether investor sentiment affects the relationships between accounting variables and contemporaneous stock returns. Using price-relevant accounting variables identified by Chen and Zhang (2007) and the investor sentiment index constructed by Baker and Wurgler (2006), we find that the value relevance of accounting variables is collectively lower in high sentiment periods than in low sentiment periods. More importantly, earnings yield appears to be more related to contemporaneous stock returns in high sentiment periods, while other accounting variables are more related to stock returns in low sentiment periods. The effect of investor sentiment on the value relevance of accounting information is stronger for firms that are more difficult to value and to arbitrage.