Ane Tamayo

Bio: Ane Tamayo is an academic researcher from London School of Economics and Political Science. The author has contributed to research in topics: Corporate social responsibility & Social capital. The author has an hindex of 22, co-authored 42 publications receiving 4333 citations. Previous affiliations of Ane Tamayo include London Business School.

Social Capital, Trust, and Firm Performance: The Value of Corporate Social Responsibility during the Financial Crisis

Abstract: During the 2008-2009 financial crisis, firms with high social capital, measured as corporate social responsibility (CSR) intensity, had stock returns that were four to seven percentage points higher than firms with low social capital. High-CSR firms also experienced higher profitability, growth, and sales per employee relative to low-CSR firms, and they raised more debt. This evidence suggests that the trust between the firm and both its stakeholders and investors, built through investments in social capital, pays off when the overall level of trust in corporations and markets suffers a negative shock.

The Impact of Corporate Social Responsibility on Firm Value: The Role of Customer Awareness

Abstract: This paper shows that corporate social responsibility (CSR) and firm value are positively related for firms with high customer awareness, as proxied by advertising expenditures. For firms with low customer awareness, the relation is either negative or insignificant. In addition, we find that the effect of awareness on the value-CSR relation is reversed for firms with a poor prior reputation as corporate citizens. This evidence is consistent with the view that CSR activities can add value to the firm but only under certain conditions.

The Impact of Corporate Social Responsibility on Firm Value: The Role of Customer Awareness

Abstract: This paper shows that corporate social responsibility (CSR) and firm value are positively related for firms with high customer awareness, as proxied by advertising expenditures. For firms with low customer awareness, the relation is either negative or insignificant. In addition, we find that the effect of awareness on the CSR–value relation is reversed for firms with a poor prior reputation as corporate citizens. This evidence is consistent with the view that CSR activities can add value to the firm but only under certain conditions. This paper was accepted by Bruno Cassiman, business strategy.

Social Capital, Trust, and Firm Performance: The Value of Corporate Social Responsibility during the Financial Crisis

Abstract: During the 2008-2009 financial crisis, firms with high social capital, measured as corporate social responsibility (CSR) intensity, had stock returns that were four to seven percentage points higher than firms with low social capital. High-CSR firms also experienced higher profitability, growth, and sales per employee relative to low-CSR firms, and they raised more debt. This evidence suggests that the trust between the firm and both its stakeholders and investors, built through investments in social capital, pays off when the overall level of trust in corporations and markets suffers a negative shock.

Have Rating Agencies Become More Conservative? Implications for Capital Structure and Debt Pricing

Abstract: Rating agencies have become more conservative in assigning corporate credit ratings over the period 1985 to 2009; holding firm characteristics constant, average ratings have dropped by three notches. This change does not appear to be fully warranted because defaults have declined over this period. Firms affected more by conservatism issue less debt, have lower leverage, hold more cash, are less likely to obtain a debt rating, and experience lower growth. Their debt spreads are lower than those of unaffected firms with the same rating, which implies that the market partly undoes the impact of conservatism on debt prices. This evidence suggests that firms and capital markets do not perceive the increase in conservatism to be fully warranted.

Forecasting, Structural Time Series Models and the Kalman Filter

Abstract: In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

An Overview of Innovation

Abstract: Models that depict innovation as a smooth, well-behaved linear process badly misspecify the nature and direction of the causal factors at work. Innovation is complex, uncertain, somewhat disorderly, and subject to changes of many sorts. Innovation is also difficult to measure and demands close coordination of adequate technical knowledge and excellent market judgment in order to satisfy economic, technological, and other types of constraints—all simultaneously. The process of innovation must be viewed as a series of changes in a complete system not only of hardware, but also of market environment, production facilities and knowledge, and the social contexts of the innovation organization.