Access and use of financial markets for basic education expenses

As a result of the financial crisis of 2008, the macroeconomic adjustment has affected Mexican homes through greater unemployment and a drop in purchasing power. Moreover, families had to keep financing education costs, sometimes going into debt in the formal or informal financial market. The hypothesis of this article proposes that the access and use of formal and informal financial products makes it possible to reduce financial problems associated to education expenses at the basic education levels. The probit model is estimated with a sample comprised of four hundred homes in the municipality of San Pedro Cholula (state of Puebla). The results indicate that a worsening in the work conditions and the loss of employment are associated to a greater probability of facing financial difficulties. Likewise, the access to the formal financial market allows reducing the probability of facing these difficulties, whereas for the informal market the results are a function of the characteristics of each financial intermediary.     

Asset commonality,debt maturity and systemic risk

We develop a model in which asset commonality and short-term debt of banks interact to generate excessive systemic risk. Banks swap assets to diversify their individual risk. Two asset structures arise. In a clustered structure, groups of banks hold common asset portfolios and default together. In an unclustered structure, defaults are more dispersed. Portfolio quality of individual banks is opaque but can be inferred by creditors from aggregate signals about bank solvency. When bank debt is short-term, creditors do not roll over in response to adverse signals and all banks are inefficiently liquidated. This information contagion is more likely under clustered asset structures. In contrast, when bank debt is long-term, welfare is the same under both asset structures.     

Trade,technology and skills: Evidence from Turkish microdata

In this paper we report evidence on the relationship between trade openness, technology adoption and the relative demand for skilled labour in the Turkish manufacturing sector, using firm-level data over the period 1980–2001. In a dynamic panel data setting, using a unique database comprising data from 17,462 firms, we estimate an augmented cost share equation whereby the wage bill share of skilled workers in a given firm is related to international exposure and technology adoption.It emerges that R&D expenditures are positive and significantly related to skill upgrading. This result supports the skill-biased technological change argument in the case of a middle-income country such as Turkey.Moreover, the firm-level analysis reveals a positive impact of technological transfer from abroad, foreign ownership and exporting status on the demand for skills, highlighting the role of increasing international openness in fostering skill upgrading within firms.Our microdata also allow us to investigate the direct impact of import flows in shaping the relative demand for skills. The results show that those firms belonging to the sectors experiencing rapid increase in the share of inputs imported from industrialised countries also experience a higher increase in the labour cost share of skilled workers. This finding provides further support for the hypothesis that imports from industrialised countries imply a transfer of new technologies, in turn leading to a higher demand for skilled labour (the so-called skill-enhancing trade hypothesis).     

Market structure and the impact of imports on price cost margins

This paper provides a conceptual analysis of the impact of imports on domestic price-cost margins via the interaction of economies of scale, conjectural variations, and demand elasticities. Positive or negative impacts can be theoretically justified based on the relative strength of these factors.     

Long term spread option valuation and hedging

This paper investigates the valuation and hedging of spread options on two commodity prices which in the long run are in dynamic equilibrium (i.e., cointegrated). The spread exhibits properties different from its two underlying commodity prices and should therefore be modelled directly. This approach offers significant advantages relative to the traditional two price methods since the correlation between two asset returns is notoriously hard to model. In this paper, we propose a two factor model for the spot spread and develop pricing and hedging formulae for options on spot and futures spreads. Two examples of spreads in energy markets – the crack spread between heating oil and WTI crude oil and the location spread between Brent blend and WTI crude oil – are analyzed to illustrate the results.     

Ecological consumer behaviour: an empirical analysis

Increasingly, consumers choose ecological products when they do the shopping, not only because it is a healthier option but also because it helps to sustain the environment for future generations. They are prepared to switch products for ecological reasons and stop buying products from companies that cause pollution. Firms and other economic institutions are aware of the importance of reflecting these attitudes towards the environment in developing their products. This paper is focused on environmental attitudes as meaningful predictor of ecological behaviour. A three‐dimensional approach to this variable has been developed, which addresses its emotional, cognitive and conative components. A random sample survey of 573 individuals was used to verify the conceptual model and framework. This model was assessed initially by principal factor analysis and subsequently, by structural equation modelling. Findings of this study showed that environmental attitudes have a significant effect on ecological behaviour. This research improves our understanding of how consumers feel and what attitudes best define their way of behaving in relation to environmental problems.     

How Analysts Process Information: Technical and Financial Disclosures in the Microprocessor Industry

Abstract

Following Bradshaw (‘Analyst information processing, financial regulation, and academic research’ [2009], and Analysts' forecasts: What do we know after decades of work? [2011]), this paper examines how analysts process information, particularly in an information environment characterised by multiple and potentially complementary information sources. The setting is the microprocessor industry, one in which technical information is particularly significant and complex to digest. Based on 3837 analyst earnings-forecast revisions, issued by 134 analysts, we examine quantitatively the speed, magnitude, and information content of the reactions of individual analysts and subgroups of analysts to both periodic and timely technical disclosures, and as a complement to periodic financial disclosure. We find that analysts are much slower to react to timely technical disclosures than they are to periodic financial disclosures. We find also that technical and financial disclosures complement each other. Furthermore, we find that there is a ‘hierarchy’ of analysts in this particular industry, as evidenced through the strength of reaction to timely technical disclosures. Finally, we find that lower speed in reacting to timely technical disclosures and a higher intensity in the use of timely technical disclosure (in conjunction with periodic financial disclosure) result in greater accuracy, and that more experienced analysts tend to be less accurate. We suggest that the findings may have implications for other industries such as Bio-Tech Pharma.