We explore the efficiency in the oil industry employing a sample of around 300 companies operating in Europe over 2010-2019. We construct efficiency scores by means of DEA non-parametric techniques. Average efficiency in the sample is modest, 0.27 and decreasing over time. We examine the...

We investigate the effect of uncertainty on investment. We employ a unique dataset of 25000 Greek firms' balance sheets for 14 years covering the period before and after the eurozone crisis. A dynamic factor model is employed to proxy uncertainty. The investment performance of 14 sectors is...

We use the Bayesian method introduced by Gallant and McCulloch (2009) to estimate consumption-based asset pricing models featuring smooth ambiguity preferences. We rely on semi-nonparametric estimation of a flexible auxiliary model in our structural estimation. Based on the market and aggregate...

We are familiar with the maximum score estimator of (Manski, C.F., 1975, Journal of Econometrics 3, 205-228). A generalization of the maximum score estimator is the maximum profit estimator of (Skouras, S., 2003, Computational Statistics and Data Analysis 42, 349-361). The general case is the...

Modern Algorithmic Trading ("Algo") allows institutional investors and traders to liquidate or establish big security positions in a fully automated or low-touch manner. Most existing academic or industrial Algos focus on how to "slice" a big parent order into smaller child orders over a given...

One of the main drawbacks of the original CreditRisk+ methodology is that it models the default rates of the sectors (e.g. industry) as independently distributed random variables. Such an assumption has been considered as unrealistic and various approaches have been proposed in order to overcome...

We investigate whether alternative asset classes should be included in optimal portfolios of the most prominent investor personae in the Behavioral Finance literature, namely, the Cumulative Prospect Theory, the Markowitz and the Loss Averse types of investors. We develop a stochastic spanning...

We used advances in data envelopment analysis (DEA) techniques to examine efficiency scores and investigate the issue of convergence and divergence in a cross-country analysis. Specifically, we used bootstrapping techniques to examine a data set of 52 developed and developing countries. We found...

Using firm and industry data, we establish two facts: (i) Uncertainty about demand conditions not only reduces export sales and exporting probabilities but also makes exports less sensitive to trade policy; (ii) the most productive exporters are more affected by higher industry-wide expenditure...

Theoretical models point at various channels of the impact of inflation on corporate investment. This article attempts to answer the question what the direction and strength of this possible impact is, examining the relationship between corporate investment and inflation on the sample of 21 OECD...