Aircraft safety analysis using clustering algorithms

In recent years, there have been many cost-benefit studies on aviation safety, which deal mainly with economic issues, omitting some strictly technical aspects. This study compares aircraft accidents in relation to the characteristics of the aircraft, environmental conditions, route, and traffic type. The study was conducted using a database of over 1500 aircraft accidents worldwide, occurring between 1985 and 2010. The data were processed and then aggregated into groups, using cluster analysis based on an algorithm of partition binary ‘Hard c means.’ For each cluster, the ‘cluster representative’ accident was identified as the average of all the different characteristics of the accident. Moreover, a ‘hazard index’ was defined for each cluster (according to annual movements); using this index, it was possible to establish the dangerousness of each ‘cluster’ in terms of aviation accidents. Obtained results allowed the construction of an easy-to-use predictive model for accidents using multivariate analysis.     

Exploring factors motivating entrepreneurial intentions: the case of Italian university students

This study aims to identify the factors motivating the intentions of university students to become entrepreneurs. Leveraging data from a survey of 941 Italian students and adopting Ajzen's theory of planned behaviour, this paper employs the structural equation model to identify factors explaining students’ entrepreneurial intentions. The findings show that attitudes, subjective norms and perceived behavioural control positively shape Italian students’ intentions. Moreover, the findings signal that the skills acquired during the university pathway play a crucial role in encouraging students to consider entrepreneurial choices. The paper extends and complements the academic and policy debate in the field of entrepreneurship offering a comprehensive investigation of the factors affecting entrepreneurial intentions. It also allows us to contend that higher education may have an important role to play in fostering the entrepreneurial intentions of young people. This is especially significant given current global economic conditions and the renewed importance of self‐employment strategies.     

Complex Reduced Rank Models For Seasonally Cointegrated Time Series

This paper introduces a new representation for seasonally cointegrated variables, namely the complex error correction model, which allows statistical inference to be performed by reduced rank regression. The suggested estimators and tests statistics are asymptotically equivalent to their maximum likelihood counterparts. The small sample properties are evaluated by a Monte Carlo study and an empirical example is presented to illustrate the concepts and methods.     

Modelling Intra-Group Relationships

Within a group of companies, a model is given for management of the relationships between the parent company and its subsidiaries. This is particularly relevant for groups originating from mergers and takeovers, because firms acquired often differ substantially in organizational structure from each other and from the parent company. The model provides a means of harmonizing the organizational structures of parent company and subsidiaries, so as to provide a complete coverage of necessary activities without duplication, and a means of identifying which activities should, in economic terms, be centralized by the parent company, and which should be delegated to the subsidiary. Finally, there is an empirical application of the model to one of the principal Italian banking groups.     

A Reduced Rank Regression Approach to Coincident and Leading Indexes Building*

This paper proposes a reduced rank regression framework for constructing a coincident index (CI) and a leading index (LI). Based on a formal definition that requires that the first differences of the LI are the best linear predictor of the first differences of the CI, it is shown that the notion of polynomial serial correlation common features can be used to build these composite variables. Concepts and methods are illustrated by an empirical investigation of the US business cycle indicators.     

Back from Beyond the Bid–Ask Spread: Estimating Liquidity in International Markets

Research on the topic of liquidity has greatly benefited from the improved availability of data. Researchers have addressed questions regarding the factors that influence bid–ask spreads and the relationship between spreads and risk, return and liquidity. Intraday data have been used to measure the effective spread, and researchers have been able to refine the concepts of liquidity to include the price impact of transactions on a trade-by-trade analysis. The growth in the creation of tax-transparent securities has greatly enhanced the visibility of securitized real estate, and has naturally led to the question of whether the increased visibility of real estate has caused market liquidity to change. Although the growth in the public market for securitized real estate has occurred in international markets, it has not been accompanied by universal publication of transaction data. Therefore, this article develops an aggregate daily data-based test for liquidity and applies the test to U.S. data in order to check for consistency with the results of prior intraday analysis. If the two approaches produce similar results, we can apply the same technique to markets in which less detailed data are available and offer conclusions on the liquidity of a wider set of markets.     

Dynamics of Asset Prices and Transaction Activity in Illiquid Markets: the Case of Private Commercial Real Estate

This paper investigates the relationship between capital flows, turnover and returns for the UK private real estate market. We examine a number of possible implications of capital flows and turnover on capital returns testing for evidence of a price pressure effect, ‘return chasing’ behaviour and information revelation. The main tool of analysis is a panel vector autoregressive (VAR) regression model in which institutional capital flows, turnover and returns are specified as endogenous variables in a two equation system in which we also control for macro-economic variables. Data on flows, turnover and returns are obtained for the ten market segments covering the main UK commercial real estate sectors. Our results do not support the widely-held belief among practitioners that capital flows have a ‘price pressure’ effect on property prices. However, we do find a significant positive relationship between lagged turnover and contemporaneous capital returns, suggesting that asset turnover provides increased price revelation which, in turn, reduces investment risk and increases property values.     

Real exchange rate persistence and monetary policy rules

The objective of this paper is to analyze the effects of alternative monetary rules on real exchange rate persistence. Using a two-country stochastic dynamic general equilibrium with nominal price stickiness and local currency pricing, we will show how the persistence of purchasing power parity deviations can be related to a monetary theory of these deviations. When monetary policy lean against the wind, there is no relationship of proportionality between the time during which prices remain sticky and the persistence of the response of the real exchange rate: in this case high nominal price rigidity is not sufficient, per se, in generating any persistence following a monetary shock. Moreover, we emphasize the role of interest rates smoothing policies and relative price stickiness within countries in understanding the relationship between the real exchange rate and monetary shocks. With reasonable parameters values, a wide range of monetary policy rules can generate real exchange rate autocorrelations around the ones observed in the data.     

Technology shocks, structural breaks and the effects on the business cycle

It is shown that time-series of US productivity and hours are apparently affected by a structural break in the late 60s. Moreover, the importance of technology shocks over the business cycle has sharply decreased after the break.