Technical efficiency and scale efficiency in the Italian banking sector: a non-parametric approach

Measures of technical and scale efficiencies are derived in the Italian banking industries by implementing non-parametric Data Envelopment Analysis on a cross section of 174 Italian banks taken in 1991. The methodology of the parametric and non-parametric approaches to measure efficiency are discussed. The existence of both technical and allocative efficiency is established. This result is robust to modifications in the specification of inputs and outputs suggested by the Intermediation Approach and by the Asset Approach. In implementing both the Intermediation and the Asset Approach the traditional specification of inputs is modified to allow an explicit role for financial capital. In addition, regression analysis is used on a bank-specific measure of inefficiency to investigate determinants of banks' efficiency. Efficiency is best explained by productive specialization, size and, to a lesser extent, by location.     

Well-posedness and invariant measures for HJM models with deterministic volatility and Lévy noise

We give sufficient conditions for the existence, uniqueness and ergodicity of invariant measures for Musiela's stochastic partial differential equation with deterministic volatility and a Hilbert space valued driving Lévy noise. Conditions for the absence of arbitrage and for the existence of mild solutions are also discussed.     

Reluctant regulation

We study the effect of state ownership on the market-to-book ratios of publicly traded European utilities from 1994 to 2005. We find that when the company is subject to independent regulation, state ownership seems positively associated with firm value. This relation tends to appear in countries where weak checks and balances and political fragmentation do not constrain the power of the executive. Our results suggest that, where political institutions are weak, politicians may influence regulatory agencies in order to benefit state-owned firms.     

Forecasting and combining competing models of exchange rate determination

This article investigates the out-of-sample forecast performance of a set of competing models of exchange rate determination. We compare standard linear models with models that characterize the relationship between exchange rate and the underlying fundamentals by nonlinear dynamics. Linear models tend to outperform at short forecast horizons especially when deviations from long-term equilibrium are small. In contrast, nonlinear models with more elaborate mean-reverting components dominate at longer horizons especially when deviations from long-term equilibrium are large. The results also suggest that combining different forecasting procedures generally produces more accurate forecasts than can be attained from a single model.     

Average Internal Rate of Return and Investment Decisions: A New Perspective

The internal rate of return (IRR) is often used by managers and practitioners for investment decisions. Unfortunately, it has serious flaws: (1) multiple real-valued IRRs may arise; (2) complex-valued IRRs may arise; (3) the IRR is, in general, incompatible with the net present value (NPV) in accept/reject decisions; (4) the IRR ranking is, in general, different from the NPV ranking; (5) the IRR criterion is not applicable with variable costs of capital. The efforts of economists and management scientists in providing a reliable project rate of return have generated over the decades an immense bulk of contributions aiming to solve these shortcomings. This article offers a complete solution to this long-standing unresolved issue by changing the usual perspective: the IRR equation is dismissed and the evaluator is allowed to describe the project as an investment or a borrowing at his discretion. This permits showing that any arithmetic mean of the one-period return rates implicit in a project reliably informs about a project's profitability and correctly ranks competing projects. With such a measure, which we call average internal rate of return, complex-valued numbers disappear and all the above-mentioned problems are wiped out. The economic meaning is compelling: it is the project return rate implicitly determined by the market. The traditional IRR notion may be found as a particular case.     

Technology investment and alternative regulatory regimes with demand uncertainty

A vertically integrated incumbent and an OLO (Other Licensed Operator) compete in the market for broadband access. The incumbent has the option to invest in building a Next Generation Network that covers all urban areas with similar demand structures. The investment return in terms of demand increase is uncertain. We compare the impact of different access regulation regimes – full regulation, partial regulation (only the copper network is regulated), risk sharing – on investment incentives and social welfare. We find that, when the alternative for the OLO is using the copper network rather than leaving the market entirely, exclusion of the OLO does not necessarily happen in equilibrium even when the incumbent is better in offering value-added services. Risk sharing emerges as the most preferable regime both from a consumer and a social welfare perspective for a large range of parameters.     

Intra-Industry Gaps in Technology and Investments in Technological Capabilities: Firm-level evidence from Chile

This paper develops a theoretical framework to analyse intra-industry gaps in technology, and tests it with enterprise-level data from a developing country. Following neoclassical theory, the existence of inter-firm technological gaps is explained by factor market segmentation that determines different factor prices and therefore different firms' technological choices. However, intra-industry gaps in technology may also result from the nature of the process of technological development, and from the different level of investments in technological capabilities.The empirical analysis is based on a sample of 338 industrial enterprises from Chile, and shows that it is possible to define technological thresholds, characterised by significant shifts in technology, independently of factor market segmentation. The analysis focuses on five major sectors: food processing, textile and garments, woodworking, metalworking and paper. Firms with different levels of technological complexity coexist within the same industry, and differences in technology are discrete, with different clusters sharing similar characteristics within the same industry. These results also have important policy implications for industrial development, which are drawn in a final section.     

Explaining co-movements between stock markets: The case of US and Germany

We explain co-movements between stock markets by explicitly considering the distinction between interdependence and contagion. We propose and implement a full-information approach on data for US and Germany to provide answers to the following questions:

(i) Is there long-term interdependence between US and German stock markets?

(ii) Is there short-term interdependence and contagion between US and German stock markets, i.e. do short-term fluctuations of the US share prices spill over to German share prices and is such co-movement unstable over high-volatility episodes?

Our answers are, respectively, no to the first question and yes to the second one.     

Do hybrid flexible delivery teaching methods improve accounting students' learning outcomes?

This study investigates the association between the learning outcomes of students and two teaching models: a traditional face-to-face lecture/tutorial teaching model and a hybrid flexible delivery model. The hybrid flexible model is delivered using a combination of face-to-face seminars and electronic delivery and communication tools. It is found that academic performance is higher for students who studied under the flexible delivery model, achieved higher marks in prerequisite units, were female, or were younger. Evidence is provided that flexible delivery teaching models utilizing electronic delivery media can be used to achieve the benefits of small class sizes when teaching large student numbers. The results should be of interest to administrators and educators as they attempt to address the challenges of supplying tertiary education to an increasing number of students as well as meeting the perceived demand for flexible course delivery in a manner that can enhance students' learning outcomes.