A theory of optimal expropriation, mergers and industry competition

We model a competitive industry where managers choose quantities and costs to maximize a combination of firm profits and benefits from expropriation. Expropriation is possible because of corporate governance ‘slack’ permitted by the government. We show that corporate governance slack induces managers to choose levels of output and costs that are higher than would otherwise be optimal. This, in turn, benefits consumers - the equilibrium price is lower - and other stakeholders such as suppliers and employees. Depending on the government’s social welfare objective, less-than-perfect investor protection can be optimal. We show why some mechanisms suggested by the literature as improving investor protection - legal change, cross-listing, domestic mergers - may not be effective. We provide a theoretical argument showing the efficacy of cross-border mergers. The stronger corporate governance of a foreign acquirer, imposed on the domestic target firm, benefits merging shareholders and those of competing unmerged domestic firms.     

Does financial liberalization improve the allocation of investment?: Micro-evidence from developing countries

Using firm level panel data from 12 developing countries we explore whether financial liberalization improves the efficiency with which investment funds are allocated. A summary index of the efficiency of investment allocation that measures whether investment funds are going to firms with a higher marginal return to capital is developed. We examine the relationship between this and various measures of financial liberalization and find that liberalization increases the efficiency with which investment funds are allocated. This holds after various robustness checks and is consistent with firm level evidence of a stronger association between investment and fundamentals after financial liberalization.     

Decomposition of gender differentials in agricultural productivity in Ethiopia

A number of studies document gender differentials in agricultural productivity. However, they are limited to region and crop‐specific estimates of the mean gender gap. This article improves on previous work in three ways. First, data representative at the national level and for a wide variety of crops is exploited. Second, decomposition methods—traditionally used in the analysis of wage gender gaps—are employed. Third, heterogeneous effects by women's marital status and along the productivity distribution are analyzed. Drawing on data from the 2011–2012 Ethiopian Rural Socioeconomic Survey, we find an overall 23.4 percentage point productivity differential in favor of men, of which 13.5 percentage points (57%) remain unexplained after accounting for gender differences in land manager characteristics, land attributes, and access to resources. The magnitude of the unexplained fraction is large relative to prior estimates in the literature. A more detailed analysis suggests that differences in the returns to extension services, land certification, land extension, and product diversification may contribute to the unexplained fraction. Moreover, the productivity gap is mostly driven by non‐married female managers—particularly divorced women—; married female managers do not display a disadvantage. Finally, overall and unexplained gender differentials are more pronounced at mid‐levels of productivity.     

Equity-worthiness and equity-willingness: Key factors in private equity deals

While access to private equity funds (PEFs) provides a unique opportunity for firms to set up sturdy growth paths, how PEFs select companies is an unknown process to entrepreneurs and business owners. This study aims to offer insights regarding the private equity market to entrepreneurs searching for external capital. We analyzed a novel dataset of 240 pre-deal negotiations between small- and medium-sized Italian companies and a closed-end fund. Results indicate that the successful closing of a deal depends on more than just the target firm's equity-worthiness (i.e., the company's ability to meet the expectations of a private equity investor). In fact, there is another dimension: the target firm's equity-willingness (i.e., the company's motivations to accept an outside equity investor). We summarize the results of our study by building a 2x2 positioning matrix on the basis of the target firm's equity-worthiness and equity-willingness. This matrix enables entrepreneurs to grasp how private equity investors evaluate their firms.     

Multi-tranche securitisation structures: more than just a zero-sum game?

This paper explains multi-tranche structuring and the yield that securitisation bonds offer by incorporating several factors into a comprehensive model. Results indicate that the degree of complexity of multi-tranche securitisation structures is related to market completeness and solving information asymmetry problems. We also find that the complexity of multi-tranche structure enables the yield offered by triple-A bonds to be reduced but not the average yield, concluding that tranching is a zero-sum game. This research uses a database comprising of all the MBS and ABS issues (1993–2011) in Spain, one of the world’s main securitisation markets. Analysing this long period has allowed us, for the first time, to contrast the Great Financial Crisis (GFC) disruptive effect on the analysed relationships in the securitisation market.     

Localised Estimates of Dynamics of Multi‐dimensional Disadvantage: An Application of the Small Area Estimation Technique Using Australian Survey and Census Data

Deep and persistent disadvantage is an important, but statistically rare, phenomenon in the population, and sample sizes are usually not large enough to provide reliable estimates for disaggregated analysis. Survey samples are typically designed to produce estimates of population characteristics of planned areas. The sample sizes are calculated so that the survey estimator for each of the planned areas is of a desired level of precision. However, in many instances, estimators are required for areas of the population for which the survey providing the data was unplanned. Then, for areas with small sample sizes, direct estimation of population characteristics based only on the data available from the particular area tends to be unreliable. This has led to the development of a class of indirect estimators that make use of information from related areas through modelling. A model is used to link similar areas to enhance the estimation of unplanned areas; in other words, they borrow strength from the other areas. Doing so improves the precision of estimated characteristics in the small area, especially in areas with smaller sample sizes. Social science researchers have increasingly employed small area estimation to provide localised estimates of population characteristics from surveys. We explore how to extend this approach within the context of deep and persistent disadvantage in Australia. We find that because of the unique circumstances of the Australian population distribution, direct estimates of disadvantage have substantial variation, but by applying small area estimation, there are significant improvements in precision of estimates.     

The value of information in cross-listing

Until 2004, the London Stock Exchange allowed firms to be traded in the specialized SEAQ-I platform without the firm's involvement. Trading only required an application by one LSE trading member firm. Such an institutional arrangement, which made cross-listings possible without a firms' approval, allows for a direct test of different theories of foreign listing. In particular, we can differentiate between market segmentation and liquidity hypotheses, which rely on a firm trading in a foreign exchange and informational hypotheses, which assume that a firm makes the decision to trade in a foreign exchange. We identify a sample of international firms that are admitted to trading on London's SEAQ-I platform without their involvement. We estimate the valuation effects of this multi-market trading event and compare them to those enjoyed by firms that pursue a standard London Stock Exchange cross-listing. A cross-sectional abnormal returns analysis documents significant evidence in support of information-related hypotheses of cross-listing. An analysis of the firms' home market price volatility corroborates the results.     

Computationally simple lattice methods for option and bond pricing

We propose new lattice-based algorithms for option and bond pricing, which rely on computationally simple trees, i.e., trees with the number of nodes that grows at most linearly in the number of time intervals. Contrary to commonly used methods, the target diffusion is approximated directly, without having to transform the original process into a constant volatility process. The discrete approximating process converges to the target continuous process, and the proposed algorithms are shown to be efficient and accurate for pricing purposes.     

Dynamic appraisal of infrastructure investments

The assessment of the reciprocal impacts of infrastructure investments and their socio-economic environment requires that a number of such aspects be simultaneously considered. Some of those aspects, however, have not been traditionally incorporated in such assessments due (in part) to the limitations inherent in the techniques utilized in current practice. This paper presents a conceptual framework for the use of dynamic simulation in the assessment of packages of infrastructure investments. The concepts are then applied to case studies involving the evaluation of coordinated sets of infrastructure projects in rural areas.