Corporate financing and anticipated credit rating changes

Firm circumstances change but rating agencies may not make timely revisions to their ratings, thereby increasing information asymmetry between firms and the market. We examine whether firms time the securities market before a credit rating agency publicly reveals its decision to change a firm’s credit rating. Using quarterly data, we show that firms adjust their financing structures before credit rating downgrades are publicly revealed. Specifically, firms on average increase their debt financing by 1.29 % before the disclosure of a rating downgrade, and this increase is due to the issuance of debt rather than the repurchase of equity. In contrast, firms do not take significant financing actions before credit rating upgrades.     

Econophysics review: I. Empirical facts

This article and the companion paper aim at reviewing recent empirical and theoretical developments usually grouped under the term Econophysics. Since the name was coined in 1995 by merging the words ‘Economics’ and ‘Physics’, this new interdisciplinary field has grown in various directions: theoretical macroeconomics (wealth distribution), microstructure of financial markets (order book modeling), econometrics of financial bubbles and crashes, etc. We discuss the interactions between Physics, Mathematics, Economics and Finance that led to the emergence of Econophysics. We then present empirical studies revealing the statistical properties of financial time series. We begin the presentation with the widely acknowledged ‘stylized facts’, which describe the returns of financial assets—fat tails, volatility clustering, autocorrelation, etc.—and recall that some of these properties are directly linked to the way ‘time’ is taken into account. We continue with the statistical properties observed on order books in financial markets. For the sake of illustrating this review, (nearly) all the stated facts are reproduced using our own high-frequency financial database. Finally, contributions to the study of correlations of assets such as random matrix theory and graph theory are presented. The companion paper will review models in Econophysics from the point of view of agent-based modeling.     

Corporate Social Responsibility as a Strategic Shield Against Costs of Earnings Management Practices

We highlight how Corporate Social Responsibility (CSR) can be strategically used against the negative perception from earnings management (EM). Using international data, we analyse the effect of CSR and EM on the cost of capital and corporate reputation. Results confirm that CSR strategy is positively valued by investors and other stakeholders. Contrary to EM, CSR has a positive effect on corporate reputation and lowers the cost of capital. In addition, we also find that the favourable effect of CSR on cost of capital is consistently more intense in firms that show signs of EM indicating that the market does not identify when CSR practices are used as a strategy to mask EM. We also demonstrate how institutional factors influence the above relationship.     

Cointegration in Panel Data with Structural Breaks and Cross‐Section Dependence

The power of standard panel cointegration statistics may be affected by misspecification errors if structural breaks in the parameters generating the process are not considered. In addition, the presence of cross‐section dependence among the panel units can distort the empirical size of the statistics. We therefore design a testing procedure that allows for both structural breaks and cross‐section dependence when testing the null hypothesis of no cointegration. The paper proposes test statistics that can be used when one or both features are present. We illustrate our proposal by analysing the pass‐through of import prices on a sample of European countries. Copyright © 2013 John Wiley & Sons, Ltd.     

WHO WILL RETURN AND WHEN? AN ANALYSIS OF RURAL-TO-URBAN MIGRANTS IN INDIA*

An analysis of temporary migration in India is presented. In particular, the author examines, within a multivariate context, the importance of various socioeconomic factors that influence the future plans of rural-urban migrants and their intended timing of return to the rural area. The data are from a 1975-1976 survey of 1,615 migrant heads of households in Delhi.     

On the specification and estimation of macro rural-urban migration functions: with an application to Indian data

The authors suggest several extensions and modifications to the existing specifications of macro migration functions as suggested by Todar through a more careful investigation of the micro theory underlying migration decisions. They use a probabilistic migration model to examine internal migration in India and present evidence that migration tends first to rise and then to fall as rural income rises