Scale economies and input price elasticities in microfinance institutions

We evaluate the efficiency of microfinance institutions (MFIs) using a structural approach which also captures these institutions’ outreach and sustainability objectives. We estimate economies of scale and input price elasticities for lending-only and deposit-mobilizing MFIs using a large sample of high-quality panel data. The results confirm conjectures that improvements in efficiency can come from the growth or consolidations of MFIs, as we find substantial increasing returns to scale for all but profitability-focused deposit-mobilizing MFIs. Our results support the existence of a trade-off between outreach and sustainability. All inputs are inelastic substitutes, but we find differences in own-price elasticities in lending-only and deposit-mobilizing MFIs.     

Analysing the risk premium in the Italian stock market: ARCH-M models versus non-parametric models

This Paper investigates the variability of the risk premium in the Italian stock market, over the period 1978–89. We have modelled voatility using two different approaches: ARCH-M models and non-parametric models. The estimate of the ARCH-M models confirm the existence of both an ARCH process in the variance and a time-varying risk premium. Also the non-parametric specification confirms the existence of a time varying risk premium. Moreover in both models the acceleration in the inflation rate has a negative effect on stock prices.     

Economic policy uncertainty in the US: Does it matter for the Euro area?

We investigate the effects of a US economic policy uncertainty shock on some Euro area macroeconomic aggregates via Structural VARs. We model the indicators of economic policy uncertainty recently developed by  Baker et al. (2013) jointly with the aggregate price indexes and alternative indicators of the business cycle for the two above indicated economic areas. According to our SVARs, a one standard deviation shock to US economic policy uncertainty leads to a statistically significant fall in the European industrial production and prices of −0.12% and −0.06%, respectively. The contribution of the US uncertainty shock on the European aggregates is shown to be quantitatively larger than the one exerted by an Euro area-specific uncertainty shock.     

Public service motivation and public sector employment preference: Comparing Italian and British students

ABSTRACT

Previous research has suggested that an individual’s public service motivation (PSM) is positively linked to a preference for public sector employment. The authors explore this link using a sample of British and Italian undergraduate students. They found a positive relationship between PSM and public sector job preferences among Italian students but not with the British students. The UK has implemented more NPM-style reforms than Italy and this could be impacting on public sector recruitment. Implications for recruitment and retention the public sector are discussed.     

Bootstrap refinements for QML estimators of the GARCH(1,1) parameters

This paper reconsiders a block bootstrap procedure for Quasi Maximum Likelihood estimation of GARCH models, based on the resampling of the likelihood function, as proposed by Gonçalves and White [2004. Maximum likelihood and the bootstrap for nonlinear dynamic models. Journal of Econometrics 119, 199–219]. First, we provide necessary conditions and sufficient conditions, in terms of moments of the innovation process, for the existence of the Edgeworth expansion of the GARCH(1,1) estimator, up to the k$k$-th term. Second, we provide sufficient conditions for higher order refinements for equally tailed and symmetric test statistics. In particular, the bootstrap estimator based on resampling the likelihood has the same higher order improvements in terms of error in the rejection probabilities as those in Andrews [2002. Higher-order improvements of a computationally attractive k$k$-step bootstrap for extremum estimators. Econometrica 70, 119–162].     

A model for R&D performance measurement

R&D activities are increasingly costly and risky and, as a consequence, measuring their performance and contribution to value becomes critical. This paper illustrates a formal model for measuring R&D performance, based upon a balanced and synthetic evaluation of quantitative indicators from five different perspectives of performance: financial, customer, innovation and learning, internal business, alliances, and networks. The model is built in coherence with the suggestions coming from the theory of measurement in soft systems, which gives relevant guidelines for ensuring validity, objectivity and inter-subjectivity of the model. Then, an application in a real R&D setting is described, which helps to understand the model and to enlighten its main advantages and limits.     

Mean–variance dominant trading strategies

The paper examines the relative importance of ten anomaly-based trading strategies. We employ Mean Variance spanning methodologies in a classical unconditional setting and a novel conditional setting. Fixed-weight optimal portfolios stemming from the unconditional methodology indicate that all the strategies are needed to enhance the mean–variance tradeoff. This conclusion is completely reversed when we allow for time-varying portfolio weights as a nonlinear function of lagged economic indicators. The overall results suggest that diversified anomaly-based holdings are of limited benefit to sophisticated investors who employ dynamic trading strategies.     

Riding the yield curve: a spanning analysis

The average return on long-term bonds exceeds the return on short-term bills by a large amount over short investment horizons. A riding-the-yield-curve investment strategy takes advantage of the higher returns on longer term bonds. This strategy involves the purchase of bonds with maturities longer than the investment horizon and the sale of these bonds, before they mature, at the end of the investment horizon. Most of the literature that evaluates this strategy compares only ex post average returns or Sharpe ratios. In this paper, we use spanning tests to provide formal statistical evidence on the benefits of investing in long bonds when the investment horizon is short. The results for both the United States and Canada indicate that an investor with a short horizon is better off investing in short-term debt instruments than long-term bonds.     

Does family ownership structure affect investment-cash flow sensitivity? Evidence from Italian SMEs

The aim of this article is to investigate whether family control, family management and family ownership concentration affect the investment-cash flow sensitivity of small- and medium-sized enterprises (SMEs). By analysing a sample of Italian SMEs for the period 2004–2013, I find that family-owned businesses are significantly associated with higher investment-cash flow dependence. This relation, however, is found to be driven by two distinct factors: (i) the presence of a highly concentrated family ownership (ownership concentration channel) and (ii) the active involvement of the family in the business (family management channel).