Size and diversity in VC syndicates and their impact on IPO performance

This paper investigates the impact of venture capital (VC) syndicate size and composition on the IPO and post-IPO performances of investee companies in an attempt to shed some light on the extent to which larger and more diverse syndicates are more likely to suffer from internal agency problems which might hinder the decision-making process and lead to less value added for their portfolio companies. The question is of great relevance because, while the vast majority of the empirical literature compares VC backed IPOs with non-VC backed ones, most VC funding is provided by syndicates of two or more financiers. We construct alternative measures of size as well as diversity based on several VC characteristics such as age, geographic location, type and affiliation of VC firms and find that larger and more diverse syndicates are associated with higher underpricing and lower valuation at the IPO date. Furthermore, we provide evidence that that diversity and size are negatively correlated to the long-term performance of the IPO firms and this finding is robust to several alternative measures of long-term performance.     

Estimating the Degree of Market Integration

Existing tests of spatial market integration are commonly based on statistical criteria without an explicit link to an economic model of price determination. This article proposes new measures of market integration defined directly in terms of a well-known spatial price determination model and develops an econometric methodology for estimating these measures. Due to the intractability of the conditional density function of prices, we use indirect inference to estimate the model parameters and market integration measures. The methodology is illustrated with simulated data and is applied to soybean price data for the United States, Brazil, and the EU.     

Testing a theoretical model of mortgage demand on UK data

This study explores whether the long-run purchasing power parity (PPP) hypothesis holds for selected real exchange rates from Turkish economy during the period 1982M1–2003M12. In addition to conventional unit root tests, five different unit root test procedures have been applied including efficient point-optimal tests, extended M tests and GLS-detrended variants of DF tests, to four monthly real exchange rate series defined in terms of both producer and consumer price indices. The countries analysed are the USA, the UK, Germany and Italy which are major trade partners of Turkey. Mixed evidence is found for the long-run PPP hypothesis when real exchange rate is defined in terms of German DM and Italian Lira. However, the empirical analysis reveals that the PPP hypothesis holds strongly in the long-run for the UK£ and US$ based real exchange rates series using either PPI or CPI. In corroboration with other studies in the literature, the bias correlated half-life estimates suggest relatively faster speeds of adjustment supporting the view that the deviations from the PPP rate dissipate rather quickly for relatively high inflation countries.