Time,space and accounting at Nonantola Abbey (1350–1449)

Accounting historians have provided several accounts of monastic life and accounting's role in it, considering important settings such as Montecassino and San Pietro abbeys in Italy and Durham Cathedral Priory in England. Research has shown how their governance arrangements and common values enabled the Benedictines to manage their monasteries in an efficient manner which was essential in tackling the misappropriation of resources by organisational actors, including abbots. Other studies have shed light on the use of practical and effective accounting practices by the Benedictines to manage their considerable wealth and pursue their spiritual and temporal goals. Nevertheless, this body of literature is yet to explicitly consider the dimensions of time and space and their relationship with accounting practices. This study begins to address this oversight by analysing the surviving accounting records of the Benedictine abbey of Nonantola in northern Italy from 1350 to 1449. In the accounting books of Nonantola Abbey linear and cyclical conceptions of time coexisted and had an impact on the way in which transactions were reflected in the accounts. At the same time, the abbey was at the centre of a complex network of accountabilities which included lay accountants, farmers and the lessees of the abbey's properties. The main characteristic of this system was not the accuracy of the records in detailing the assets, liabilities, expenses and revenue of the abbey but the maintenance of a control system to administer an extensive agricultural network and the identification of the relationships between the abbey and the stakeholders inhabiting its space.     

Trade Costs in Bilateral Trade Flows: Heterogeneity and Zeroes in Structural Gravity Models

This paper contributes to the explanation of international trade flows with structural gravity models taking heterogeneity and excess zeroes into account. We introduce a more general hypothesis on the structure of trade costs in Helpman et al. (The Quarterly Journal of Economics, 2008; 123 , 2, 441) theoretical model that is capable of explaining over‐dispersion in trade data. Zero‐inflated negative binomial models are considered to analyse the impact of trade costs, measured in terms of geographical distance and contiguity effects. An analysis related to a sample of 37 countries' trade flows, with heterogeneous effects across sectors and trade‐integrated areas, such as APEC and EU, is presented. The size of exporting and destination economies and cultural and institutional factors are considered as influencing both the extensive and the intensive margin of trade.     

Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach

Focusing on credit risk modelling, this paper introduces a novel approach for ensemble modelling based on a normative linear pooling. Models are first classified as dominant and competitive, and the pooling is run using the competitive models only. Numerical experiments based on parametric (logit, Bayesian model averaging) and nonparametric (classification tree, random forest, bagging, boosting) model comparison shows that the proposed ensemble performs better than alternative approaches, in particular when different modelling cultures are mixed together (logit and classification tree). Copyright © 2016 John Wiley & Sons, Ltd.     

The rise of risk-based pricing of mortgage interest rates in Italy

This paper assesses how much mortgage interest rates in Italy are priced on credit risk as proxied by the probability of household mortgage delinquency estimated using the EU-Silc database. Owing to data availability, we restrict the analysis of mortgage pricing to Italian households. Consistent with the more widespread use of credit scoring, estimates indicate that Italian lenders have increasingly priced mortgage interest rates on household credit risk. For mortgages granted between 2000 and 2007, we find that a 1% point increase in the probability of default is associated with a 21 basis point rise in mortgage interest rates, lower than the 38 basis point premium Edelberg (2006) estimated for the US at the end of the 1990s.     

A New Framework to Estimate the Near-Term Path of the Fed Funds Rate

We propose a forward-looking method to estimate the path for the federal funds target rate. We utilize six-month out probabilities of inflationary and disinflationary pressures, along with a labor market index, to estimate the fed funds rate. We further suggest that due to the changing nature of economies and impending risks to the economic outlook, a time-varying method (consistent with the nature of risks) would help decision makers to improve effective decision making. Our econometric results suggest disinflation (or disinflationary pressure), not inflationary pressure, best explains fed funds rate movements from the 1990s forward. Based on June 2016 data, there is a 55 percent chance that the inflation rate would stay below 1.5 percent during the next six months. The recent higher disinflationary pressure probability may be one reason the FOMC has repeatedly lowered its path for the fed funds rate. Unfortunately, the low-inflation zombie is real.     

Is Predicting Recessions Enough?

We propose an ordered probit framework to simultaneously predict the probabilities of recession, weaker recovery, and stronger recovery. Our approach helps identify (a) whether the next phase is a recession, (b) when the recovery period starts, and (c) whether the recovery would be a weak or strong one compared to historical standards. We believe our approach would help policy makers decide when would be appropriate to (1) start expansionary policies (higher probabilities of recession), (2) continue expansionary policies (higher probabilities of weaker recovery), or (3) turn to neutral/contractionary policies (higher probabilities of stronger recovery). The ordered probit model shows the probabilities of recession staying above 50 percent during all five recessions in our simulated out-of-sample analysis of 1980:Q1–2016:Q1. The probabilities of weaker recovery are consistent with actual periods of below trend growth. Based on 2016:Q1 data, the model suggests a meaningfully higher chance of continuing below trend growth. One key result is that the probability of weaker growth has been persistently higher than the other two scenarios for the past several years. These higher probabilities of weak growth are consistent with the accommodative monetary policy stance of the past eight years.     

The entrepreneurial motivation in academia: a multidimensional construct

In this paper we propose a model to analyse the motivation of academic entrepreneurs that comprises six dimensions: personal, relating to the entrepreneurial opportunity, to scientific knowledge, to the availability of resources, to the incubator organization, and to the social environment. The model is tested based on information from a survey administered to 152 Spanish academic entrepreneurs. Our results show that entrepreneurial opportunity is not part of the entrepreneurial motivation, but is of the utmost importance to academic entrepreneurs. Also, we find the scientific knowledge is the main driver of entrepreneurial activity in the academia.     

Optimal investment models with vintage capital: Dynamic programming approach

The dynamic programming approach for a family of optimal investment models with vintage capital is here developed. The problem falls into the class of infinite horizon optimal control problems of PDE’s with age structure that have been studied in various papers (12, 11, 33 and 35) either in cases when explicit solutions can be found or using Maximum Principle techniques.