Monopoly with resale

We examine the intricacies associated with the design of revenue‐maximizing mechanisms for a monopolist who expects her buyers to resell. We consider two cases: resale to a third party who does not participate in the primary market and interbidder resale, where the winner resells to the losers. To influence the resale outcome, the monopolist must design an allocation rule and a disclosure policy that optimally fashion the beliefs of the participants in the secondary market. Our results show that the revenue‐maximizing mechanism may require a stochastic selling procedure and a disclosure policy richer than the simple announcement of the decision to sell to a particular buyer.     

The effect of the dynamics of knowledge base complexity on Schumpeterian patterns of innovation: the upstream petroleum industry

This article analyzes important changes in technological innovation in the upstream petroleum industry. It provides evidence that shifts in sectoral patterns of innovation over the petroleum industry's lifecycle from the 1970s up to 2005 were dependent on the dynamics of knowledge base complexity (KBC), a key dimension of an industry's technological regime. Accordingly, observed shifts in innovation patterns are understood to be the aggregated strategic response of industry innovators to changes in the technological regime. The article proposes a quantitative method for exploring KBC and Schumpeterian patterns of innovation, and interactions between the two at the industry level. As the industry evolved, its knowledge base moved to higher orders of complexity creating a shift in the Schumpeterian pattern of innovation. Increased KBC was found to alter Schumpeterian patterns from Mark I toward a ‘modified’ Mark II. Instead of coming predominantly from ‘traditional’ established oil operators, technological innovation was increasingly triggered by a new class of emergent integrated service companies – ‘second tier’ systems integrators of the upstream sector able to cope with increased KBC.     

Asset liquidity and financial contracts: Evidence from aircraft leases

Financial contracting theories agree that more-liquid assets decrease the expected cost of external financing, thus making leasing more attractive and reducing lessors’ equilibrium return. However, the literature has ambiguous predictions about the effect of liquidity on the maturity of leases. These predictions are further complicated by the existence of two types of lease contracts—operating and capital—that differ in whether asset ownership transfers to the lessee at the end of the contract. Using data from commercial aircraft, I find that more-liquid assets (1) make leasing, operating leasing in particular, more likely; (2) have shorter operating leases; (3) have longer capital leases; and (4) command lower markups of operating lease rates.     

The Board of Directors and The Adoption of Quality Management Tools

Abstract

The article examines the role of the board of directors in Local Public Utilities (LPUs). It aims at verifying empirically if a correlation exists between specific characteristics of the board of directors and the adoption of innovative arrangements addressing emerging needs of users and citizens (i.e. quality). By means of applying multivariate statistical methods to a random sample of sixty Italian LPUs, this study finds the relational capital of the boards affecting the take up of quality-oriented actions by LPUs. These results support the resource-dependence theory, neglected by mainstream literature.     

A market-consistent framework for the fair evaluation of insurance contracts under Solvency II

Decisions in Economics and Finance - The entry into force of the Solvency II regulatory regime is pushing insurance companies in engaging into market consistence evaluation of their balance sheet,...     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

Sequential conditional correlations: Inference and evaluation

This paper presents a new approach to the modeling of conditional correlation matrices within the multivariate GARCH framework. The procedure, which consists of breaking the matrix into the product of a sequence of matrices with desirable characteristics, in effect converts a highly dimensional and intractable optimization problem into a series of simple and feasible estimations. This in turn allows for richer parameterizations and complex functional forms for the single components. An empirical application involving the conditional second moments of 69 selected stocks from the NASDAQ100 shows how the new procedure results in strikingly accurate measures of the conditional correlations.     

Does VC fund diversification pay off? An empirical investigation of the effects of VC portfolio diversification on fund performance

The paper tests different theories of how diversification by Venture Capital (VC) firms affects fund performance. The Financial Intermediation and the Resource-based Theory suggest that lower financial risk associated with diversification implies a lower return. However, the assumptions of these theories are questionable in the context of venture capital. We test their validity using data on VC portfolio diversification by industry and country using an original dataset of 649 VC funds originating in the United Kingdom over the period 1981–2000. Results show that higher diversification by industry does indeed lower VC fund success rates. Diversification by geographical region, on the contrary, increases returns.