With the advent of big data in economics machine learning algorithms become more and more appealing to economists. Despite some attempts of establishing artificial neural networks in in the early 1990s, only little is known about their ability of estimating causal effects in policy evaluation....

The context of European Union farms is markedly diverse. This is verified when, for example, several dimensions of the agricultural sector are analyzed, considering variables related with economic, social, or environmental dynamics. Indeed, frequently the farms in EU countries present relevant...

This paper attempts to examine the dependence structure of four major cryptocurrencies chosen by current market capitalisation. It is a well known fact that there is huge volatility in the prices of these cryptocurrencies. The Vine Copula model is used to get some insights about the dependence...

This study have uniquely mad use of Box-Jenkins ARIMA models to address the core of the threes objectives set out in view of the focus to add meaningful value to knowledge exploration. The outcome of the research have testify the achievements of this through successful nine months out-of-sample...

This paper investigates the finite sample properties of the two-step estimators of dynamic factor models when unobservable common factors are estimated by the principal components methods in the first step. Effects of the number of individual series on the estimation of an auto-regressive model...

Purpose – The purpose of this paper is to model asymmetric information and study the profitability of venture capital (VC) backed initial public offerings (IPOs). Our mixtures approach endogenously separates IPOs into differentiated groups based on their returns’ determinants. We also...

In this study we examine how Specified Purpose Acquisition Companies (SPACs) were used as a financing tool for companies in the shipping industry in period 2004-2011. We confirm that SPACs focused on acquisitions in the shipping industry have similar characteristics as the population of SPACs...

In this study, we examine characteristics of Specified Purpose Acquisition Companies (SPACs) used as a financing tool for companies from China in period 2004-2011. We offer the evidence that, similarly to evidence from studies on reverse mergers focusing on China, SPACs that focus on China are...

This paper studies how institutional characteristics of Specified Purpose Acquisition Companies (SPACs) are related to their post-merger survival. SPACs are unique financial firms that conduct the IPO with the solely purpose to use the proceeds to acquire another private company. Paper finds...

Specified Purpose Acquisition Companies (SPACs) are a special type of public companies currently available to investors in financial markets. As an investment vehicle, modern SPACs are traced back to 18-th century England where blank checks were first mentioned as blind pools during the infamous...