Information and Investor Behavior Surrounding Earnings Announcements

The goal of this paper is to analyze the impact of annual earnings announcements on the market through the order flow data in addition to the usual transaction data. In this respect, examining order flow data can potentially reveal valuable information that is not available from transaction data. In fact, the data allow us to test hypotheses about asymmetric information and investor behavior and to test if the behavior varies with investor sophistication. In addition, the paper tries to identify the determinants of the impact on a firm's value using assumptions about investor behavior.     

Strategic framework for commercialisation of fly ash innovations

Numerous innovative applications have been developed to utilise large quantity of fly ash generated at coal fired thermal power plants (TPPs) worldwide. However, this requires power plants to undertake the role of third-party innovation intermediaries, that is, commercialising technological innovations developed by others. As commercialising an innovation requires considerable resources, a well-considered selection and promotion are desired. The paper presents a strategic framework for commercialisation of fly ash innovations. Explanation for step-by-step implementation and generic pointers for strategy formulation for typical problems are suggested. The proposed framework is expected to assist coal-fired TPPs in formulating strategies to commercialise innovative utilisation of fly ash. The study contributes to scarcely addressed aspects of an open innovation paradigm, that is, challenges faced by third-party intermediaries.     

When it pays to have a friend on the inside: contingent effects of buyer advocacy on B2B suppliers

As organizational buying systems grow more complex and sophisticated, suppliers increasingly rely on buyer advocacy: an individual buyer’s efforts to influence his/her colleagues such that the supplier’s standing is improved. Drawing from cognitive response theory, the authors hypothesize an inverted U-shaped relationship between a buyer’s advocacy for a supplier and the customer’s purchases from that supplier. They theorize that this effect is moderated by the advocate’s industry experience and customer–supplier relationship characteristics. An analysis of multisource data from a B2B service provider (Study 1) supports the predicted inverted U-shaped relationship, while a unique dataset from a large industrial supplier (Study 2) provides broad support for the hypothesized moderators. Finally, a randomized experiment (Study 3) replicates key findings and corroborates the theorized cognitive response mechanisms. Findings contribute to the limited literature on buyer advocacy within the organizational buying domain and offer practical implications for suppliers and buyers.

     

The impact of FTAs on MENA trade in agricultural and industrial products

This article analyses the impact of Free Trade Agreements (FTAs) on Middle East and North African Countries (MENA) trade for the period 1994–2010. The analysis distinguishes between industrial and agricultural trade to take into account the different liberalization schedules. An augmented gravity model is estimated using up-to-date panel data techniques to control for all time-invariant bilateral factors that influence bilateral trade as well as for the so-called multilateral resistance factors. We also control for the endogeneity of the agreements and test for self-selection bias due to the presence of zero trade in our sample. The main findings indicate that North–South-FTAs and South–South-FTAs have a differential impact in terms of increasing trade in MENA countries, with the former being more beneficial in terms of exports for MENA countries, but both showing greater global market integration. We also find that FTAs that include agricultural products, in which MENA countries have a clear comparative advantage, have more favourable effects for these countries than those only including industrial products.     

Credibility in Loss Reserving

This article proposes using credibility theory in the context of stochastic claims reserving. We consider the situation where an insurer has access to the claims experience of its peer competitors and has the potential to improve prediction of outstanding liabilities by incorporating information from other insurers. Based on the framework of Bayesian linear models, we show that the development factor in the classical chain-ladder setting has a credibility expression: a weighted average of the prior mean and the best estimate from the data. In the empirical analysis, we examine loss triangles for the line of commercial auto insurance from a portfolio of insurers in the United States. We employ hierarchical model for the specification of prior and show that prediction could be improved through borrowing strength among insurers based on a hold-out sample validation.     

Exploring human capital: putting ‘human’ back into strategic human resource management

The field of strategic human resource management has seemingly rediscovered human capital with increasing research focused on human capital as a mediator in the relationship between HR practices and performance. In this paper we review human capital definitions and measurement approaches within this literature. We then identify some of the issues emerging with human capital research. Finally, we propose some future directions for research on human capital in organisations.     

Trading Partners and Trading Volumes: Implementing the Helpman–Melitz–Rubinstein Model Empirically

Helpman, Melitz and Rubinstein [Quarterly Journal of Economics (2008) Vol. 123, pp. 441–487] (HMR) present a rich theoretical model to study the determinants of bilateral trade flows across countries. The model is then empirically implemented through a two‐stage estimation procedure. We argue that this estimation procedure is only valid under the strong distributional assumptions maintained in the article. Statistical tests using the HMR sample, however, clearly reject such assumptions. Moreover, we perform numerical experiments which show that the HMR two‐stage estimator is very sensitive to departures from the assumption of homoskedasticity. These findings cast doubts on any inference drawn from the empirical implementation of the HMR model.     

The shared environmental responsibility principle: new developments applied to the case of marine ecosystems

Estuaries provide advantageous sites for both harbors and fish habitats. In many countries, harbor expansion in estuaries contributed to the decline of fish populations with impacts at the global scale. Restoring these habitats is important to prevent a global biodiversity crisis but is costly and potentially unaffordable for polluters under the Polluter Pays Principle. Such affordability issues prompt decision-makers to reduce environmental targets of restoration programs. Harbor infrastructures destroy fish habitats but generate benefits for society and contribute to the public interest, raising some questions on who is responsible for environmental degradations and who can afford environmental restoration costs? One way to allocate restoration costs is to analyze the amount of harbor services consumed by economic sectors. This paper addresses these questions by computing burden sharing scenarios with an input–output matrix. These scenarios are simulated under the shared responsibility principle to distribute restoration costs among stakeholders in the Seine estuary, France.     

Why did the equity home bias fall during the financial panic of 2008?

Investors tend to put most of their wealth in local stocks; theories of portfolio choice and uncertainty aversion jointly predict that this home bias should increase during a financial crisis. Yet, using a sample of 45 countries, I document that the equity home bias fell during the financial panic of 2008. Exploiting bilateral stock holdings, I find that investors actively increased their home bias, but large valuation changes subsumed these trades. Across countries, the change in home bias is consistent with partial portfolio rebalancing and increased information asymmetries during the crisis.