Information Disclosure, Market Discipline and the Management of Bank Capital: Evidence from the Chinese Financial Sector

Is there evidence that market forces effectively discipline risk management behaviour within Chinese financial institutions? This study analyses information from a comprehensive sample of Chinese banks over the 1998-2008 period. Market discipline is captured through the impact of four sets of factors namely, market concentration, interbank deposits, information disclosure, and ownership structure. We find some evidence of a market disciplining effect in that: (i) higher (lower) levels of market concentration lead banks to operate with a lower (higher) capital buffer; (ii) joint-equity banks that disclose more information to the public maintain larger capital ratios; (iii) full state ownership reduces the sensitivity of changes in a bank's capital buffer to its level of risk;(iv) banks that release more transparent financial information hold more capital against their non-performing loans. © 2010 Springer Science+Business Media, LLC.

Social Inclusion or Market Competitiveness? A Comparison of Rural Development Policies in the European Union and the United States

The language of EU rural development policy appears more interested in social inclusion and that of US policy more interested in market competitiveness. We seek to determine why policies directed at rural development in the EU and the USA differ. In both contexts new rural development policies emphasize partnership and participation but we find local participation is used to promote social inclusion in the EU and market competitiveness in the USA. An examination of these dimensions illustrates important transcontinental differences and similarities in rural development policies. We explore the socio-historical reasons for differences in the commitment to social inclusion, while also noting similarities in the priority of market competitiveness.

Effect of European Sovereign debt crisis on banks’ stock market performances: application to Portuguese data

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

The impact of credit conditions on market liquidity – a case for European stock markets

The recent financial crisis has drawn the attention of researchers and regulators to the importance of liquidity for stock market stability and efficiency. The ability of market-makers and investors to provide liquidity is constrained by the willingness of financial institutions to supply funding capital. This paper sheds light on the liquidity linkages between the Central Bank, Monetary Financial Institutions and market-makers as crucial elements to the well-functioning of markets. Results suggest the existence of causality between credit conditions and stock market liquidity for the Eurozone between 2003 and 2015. Similar evidence is found for the UK during the post-crisis period. Keywords: stock

Juan Valdez in the coffe market of France

El objetivo de este trabajo es presentar un marco organizacional en profundidad de las operaciones de Juan Valdez y sus posibilidades de incursionar en el mercado Francés. El Análisis se presenta en base a una investigación de mercados que tiene como referencia las tendencias de consumo, más exactamente hacía bebidas con alto contenido de cafeína, (Bebidas energizantes, deportivas, café etc.). Igualmente se analizan los socios estratégicos con más fuerza de realizar alianzas con la empresa colombiana, sus posibilidades financieras, así como su experiencia y conocimiento de su mercado local, y la similitud de procesos o cultura organizacional. La investigación de la propuesta nos lleva a generar una aplicación y conocimiento más a fondo de aspectos teóricos relacionados con el estudio del consumidor, la diversidad cultural y su influencia en el momento de realizar estrategias de mercadeo, el concepto de red y complejidad, así como aspectos teóricos relacionados con la organización y desafíos de una empresa al optar el camino de la internacionalización.

Reviewing the EU ETS review? Report of the CEPS TAsk Force on "Does the ETS market produce the 'right' price signal"? CEPS Task Force Report, 12 November 2012

Drawing on discussions within a CEPS Task Force on the revised EU emissions trading system, this report provides a comprehensive assessment of the pros and cons of the various measures put forward by different stakeholders to address the level and stability of the price of carbon in the EU. It argues that the European Commission, the member states, the European Parliament and other stakeholders need to give serious consideration to introducing some kind of ‘dynamic’ adjustment provision to address the relatively inelastic supply. The report also suggests that there is a need to improve communication of market-sensitive information, for example by leaving the management of the ETS to a specialised body.

Impacts of pollution and climate change on ombrotrophic Sphagnum species in the UK: analysis of uncertainties in two empirical niche models

A significant challenge in the prediction of climate change impacts on ecosystems and biodiversity is quantifying the sources of uncertainty that emerge within and between different models. Statistical species niche models have grown in popularity, yet no single best technique has been identified reflecting differing performance in different situations. Our aim was to quantify uncertainties associated with the application of 2 complimentary modelling techniques. Generalised linear mixed models (GLMM) and generalised additive mixed models (GAMM) were used to model the realised niche of ombrotrophic Sphagnum species in British peatlands. These models were then used to predict changes in Sphagnum cover between 2020 and 2050 based on projections of climate change and atmospheric deposition of nitrogen and sulphur. Over 90% of the variation in the GLMM predictions was due to niche model parameter uncertainty, dropping to 14% for the GAMM. After having covaried out other factors, average variation in predicted values of Sphagnum cover across UK peatlands was the next largest source of variation (8% for the GLMM and 86% for the GAMM). The better performance of the GAMM needs to be weighed against its tendency to overfit the training data. While our niche models are only a first approximation, we used them to undertake a preliminary evaluation of the relative importance of climate change and nitrogen and sulphur deposition and the geographic locations of the largest expected changes in Sphagnum cover. Predicted changes in cover were all small (generally <1% in an average 4 m2 unit area) but also highly uncertain. Peatlands expected to be most affected by climate change in combination with atmospheric pollution were Dartmoor, Brecon Beacons and the western Lake District.

The effects of information presentation on real estate market perceptions

The study seeks to identify systematic differences in perception of the real estate market caused by the frames through which people obtain market information. We operationalise the frames through manipulation of data presentation in a commercial real estate market report, selectively controlling time scale, proportionality distortion and negative value presentation. Our findings suggest that such differences are real and their effects should be taken into account in the design and interpretation of market reports.

The market in freehold land, 1300-1509: the evidence of feet of fines

This article provides time series data on the medieval market in freehold land, including the changing social composition of freeholders, level of market activity, size and complexity of landholdings, and shifts in the market value of land. These are subjects hitherto largely ignored due, in part, to the disparate nature of the evidence. It argues that feet of fines, despite archival limitations, if employed with care and an understanding of the underlying changes in the common law of real property, are capable of providing quantifiable evidence spanning hundreds of years and comparable across large areas of England.

Tobit estiamtion with unknown point of censoring with an application to milk market participation in the Ethiopian highlands

Data augmentation is a powerful technique for estimating models with latent or missing data, but applications in agricultural economics have thus far been few. This paper showcases the technique in an application to data on milk market participation in the Ethiopian highlands. There, a key impediment to economic development is an apparently low rate of market participation. Consequently, economic interest centers on the “locations” of nonparticipants in relation to the market and their “reservation values” across covariates. These quantities are of policy interest because they provide measures of the additional inputs necessary in order for nonparticipants to enter the market. One quantity of primary interest is the minimum amount of surplus milk (the “minimum efficient scale of operations”) that the household must acquire before market participation becomes feasible. We estimate this quantity through routine application of data augmentation and Gibbs sampling applied to a random-censored Tobit regression. Incorporating random censoring affects markedly the marketable-surplus requirements of the household, but only slightly the covariates requirements estimates and, generally, leads to more plausible policy estimates than the estimates obtained from the zero-censored formulation

Building the niche through time: using 13,000 years of data to predict the effects of climate change on three tree species in Europe

Aim  Species distribution models (SDMs) based on current species ranges underestimate the potential distribution when projected in time and/or space. A multi-temporal model calibration approach has been suggested as an alternative, and we evaluate this using 13,000 years of data. Location  Europe. Methods  We used fossil-based records of presence for Picea abies, Abies alba and Fagus sylvatica and six climatic variables for the period 13,000 to 1000 yr bp. To measure the contribution of each 1000-year time step to the total niche of each species (the niche measured by pooling all the data), we employed a principal components analysis (PCA) calibrated with data over the entire range of possible climates. Then we projected both the total niche and the partial niches from single time frames into the PCA space, and tested if the partial niches were more similar to the total niche than random. Using an ensemble forecasting approach, we calibrated SDMs for each time frame and for the pooled database. We projected each model to current climate and evaluated the results against current pollen data. We also projected all models into the future. Results  Niche similarity between the partial and the total-SDMs was almost always statistically significant and increased through time. SDMs calibrated from single time frames gave different results when projected to current climate, providing evidence of a change in the species realized niches through time. Moreover, they predicted limited climate suitability when compared with the total-SDMs. The same results were obtained when projected to future climates. Main conclusions  The realized climatic niche of species differed for current and future climates when SDMs were calibrated considering different past climates. Building the niche as an ensemble through time represents a way forward to a better understanding of a species' range and its ecology in a changing climate.

Market research and the ethics of big data

The term 'big data' has recently emerged to describe a range of technological and commercial trends enabling the storage and analysis of huge amounts of customer data, such as that generated by social networks and mobile devices. Much of the commercial promise of big data is in the ability to generate valuable insights from collecting new types and volumes of data in ways that were not previously economically viable. At the same time a number of questions have been raised about the implications for individual privacy. This paper explores key perspectives underlying the emergence of big data, and considers both the opportunities and ethical challenges raised for market research.

STABILITY ANALYSIS WITH APPLICATIONS OF A TWO-DIMENSIONAL DYNAMICAL SYSTEM ARISING FROM A STOCHASTIC MODEL FOR AN ASSET MARKET

We analyze the stability properties of equilibrium solutions and periodicity of orbits in a two-dimensional dynamical system whose orbits mimic the evolution of the price of an asset and the excess demand for that asset. The construction of the system is grounded upon a heterogeneous interacting agent model for a single risky asset market. An advantage of this construction procedure is that the resulting dynamical system becomes a macroscopic market model which mirrors the market quantities and qualities that would typically be taken into account solely at the microscopic level of modeling. The system`s parameters correspond to: (a) the proportion of speculators in a market; (b) the traders` speculative trend; (c) the degree of heterogeneity of idiosyncratic evaluations of the market agents with respect to the asset`s fundamental value; and (d) the strength of the feedback of the population excess demand on the asset price update increment. This correspondence allows us to employ our results in order to infer plausible causes for the emergence of price and demand fluctuations in a real asset market. The employment of dynamical systems for studying evolution of stochastic models of socio-economic phenomena is quite usual in the area of heterogeneous interacting agent models. However, in the vast majority of the cases present in the literature, these dynamical systems are one-dimensional. Our work is among the few in the area that construct and study analytically a two-dimensional dynamical system and apply it for explanation of socio-economic phenomena.

Internet share of advertising expenditure : growth drivers and inhibitors in the brazilian market

Os investimentos com publicidade na Internet como uma percentagem das despesas totais de publicidade variam significativamente de um país para outro. O número é tão baixo quanto 4,7% no mercado brasileiro e tão alto como 28,5% no mercado britânico (ZenithOptimedia, 2011b). Algumas razões explicam tal disparidade. No nível macro, a participação dos gastos com publicidade na Internet está fortemente ligada a variáveis como o produto interno bruto per capita e à penetração da Internet na população. No nível micro, uma pesquisa qualitativa foi feita para identificar os fatores que contribuem e inibem o crescimento da participação da publicidade online no mercado brasileiro. A vasta lista de inibidores parece ter profundo impacto sobre como os profissionais de mercado tomar decisões de alocação de investimento em publicidade por tipo de mídia. Devido à legislação, à auto-regulamentação e às dinâmicas da indústria, grande parte da tomada de decisão é realizada por agências de publicidade. Estas parecem ter fortes incentivos econômicos para selecionar outros tipos de mídia e não a Internet ao definir planos de mídia. Ao mesmo tempo, a legislação e a auto-regulamentação fornecem desincentivos para corretores de mídia a operar no mercado local. A falta de profissionais qualificados e a padronização limitada também desempenham papéis importante para inibir uma maior participação da Internet nos gastos com publicidade no Brasil. A convergência dos resultados quantitativos com os qualitativos indica possíveis motivos pelos quais a participação da publicidade online no Brasil é tão baixa. Em primeiro lugar, a participação é explicada pelo estágio de desenvolvimento dos países. Quanto mais rico e mais desenvolvido um país, maior a proporção de gastos com publicidade online tende a ser. Em segundo lugar, o estágio econômico emergente do Brasil potencialmente dá espaço para o aumento do ineficiências do mercado, tais como programas de descontos oferecidos de forma desproporcional para os principais decisores de alocação de investimentos de mídia. Este fato aparentemente produz um feedback negativo, contribuindo para manter a baixa participação da publicidade online no total dos investimentos publicitários.