This paper provides a comprehensive study of the syndicate structure and its relationship to information asymmetry and loan spread by using principal component analysis on a large set of 40 structure-related variables. A total of six structure components are identified and related to syndicate...

This paper investigates the relationship between federal election outcomes and expected returns and volatilities in the Canadian money, bond, equity and currency markets from 1951 to 2006. There is little evidence that investment opportunities are different in minority versus majority...

This study examines 16 models of monthly Value-at-Risk (VaR) for three equity indices with an emphasis on the filtered historical simulation (FHS) technique. We investigate the importance of historical simulation versus a parametrized approach, the presence of filter versus a static modeling of...

This paper provides a descriptive analysis of the international network of syndicated loan lenders through an examination of its topology and structure using network theory measures. The author studies both the undirected and directed graphs, weighted and unweighted connections, as well as...

Purpose – The purpose of this paper is to study the impact of cross-listing and cross-listing location on the terms of the private debt of firms not located in the USA. Specifically, the paper examines the empirical relationship between three syndicated loan terms (pricing, maturity and...

"The impact of past syndicate alliances on the consolidation of financial institutions is examined. The odds of two lenders combining increases with the intensity and exclusivity of their prior syndicated loan alliances. The impact is higher for international mergers and acquisitions (M&As) and...

<heading id="h1" level="1" implicit="yes" format="display">Abstract</heading>The empirical finance literature reveals that conditional models estimated with monthly data generally improve fund performance. Furthermore, it has been shown that using daily instead of monthly returns in an unconditional framework increases the proportion of abnormal performances...

The estimation of multivariate GARCH time series models is a difficult task mainly due to the excessive parametrization exhibited by the problem, usually referred to as the “curse of dimensionality”. For the VEC family, the number of parameters involved in the model grows as a polynomial of...

We show how to use asset market data to restrict the admissible region for the first-order autocorrelation of the stochastic discount factor (SDF). We interpret this statistic as a measure of a model’s economic time variation across two periods. Estimating bounds for nominal and real SDFs at...