Monetary Expressions of Labour Time and Market Prices: Theory and Evidence from China,Japan and Korea

This article presents estimates of labour values and prices of production following two approaches: the first is based on the classical and Marxian theory of value and distribution; the second on the so-called ‘new solution’ to the ‘transformation problem’ and its variant, the Temporary Single-System Interpretation (TSSI). The major advantage of the latter approach is its simplicity, along with the relatively low data requirements. Our empirical findings from the economies of China, Japan and South Korea suggest that both approaches give estimates of labour values and prices of production which are extremely close to each other as well as to actual market prices. On further examination, however, we conclude that our empirical findings are absolutely consistent with the theoretical requirements of the classical approach and contradict those of the TSSI.     

Cognitive abilities and portfolio choice

We study the relation between cognitive abilities and stockholding using the recent Survey of Health, Ageing and Retirement in Europe (SHARE), which has detailed data on wealth and portfolio composition of individuals aged 50+ in 11 European countries and three indicators of cognitive abilities: mathematical, verbal fluency, and recall skills. We find that the propensity to invest in stocks is strongly associated with cognitive abilities, for both direct stock market participation and indirect participation through mutual funds and retirement accounts. Since the decision to invest in less information-intensive assets (such as bonds) is less strongly related to cognitive abilities, we conclude that the association between cognitive abilities and stockholding is driven by information constraints, rather than by features of preferences or psychological traits.     

Divergence of Opinion and Post-Acquisition Performance

Abstract:  We examine the relation between divergence of opinion about the value of the acquiring firm in the pre-acquisition announcement period and post-acquisition stock returns. We find that acquirers subject to high opinion dispersion earn lower future returns than acquirers subject to low dispersion. It appears that, on average, only acquirers in the high divergence of opinion subset experience significant negative post-event abnormal returns. In the spirit of Miller (1977) , such evidence implies that high pre-event investor disagreement leads to systematic overpricing of acquirers that manifests itself through long-run underperformance of their stock. The documented misvaluation persists irrespective of the opinion divergence proxy and performance evaluation method used and after controlling for several common deal and acquirer characteristics.     

Heterogeneity of the determinants of euro-area sovereign bond spreads; what does it tell us about financial stability?

In this paper, we assess the movements of euro area sovereign bond yield spreads vis-à-vis the German Bund as processes specified across different levels of volatility and subject to movements in asset prices and economic conditions. The determinants we use are grouped into domestic and euro-area aggregates, thus allowing us to derive results on their relative explanatory power and compare them across time and the spectrum of countries. We find that volatility influences the deterministic processes of the euro area sovereign spreads and that identical determinants have effects on spreads that vary considerably across countries. Furthermore, we find that variables reflecting investment confidence conditions and perceptions for the upcoming economic activity are significant determinants and their significance remains, to a large extent, even when controlling for fiscal variables.     

A CDS approach to induce facilities-based competition over NGA networks

The current regulatory framework in the European NGA market provides the basic principles for the gradual migration from service-based competition over the legacy copper access networks to facilities-based competition over fiber-based Next Generation Access (NGA) networks. This paper initially reviews the related literature and shows that: (i) an unbundling policy that boosts entry by alternative operators promotes service-based competition but provides operators with disincentives to invest in network upgrade; (ii) there is no consensus about the optimal regulatory policy that promotes competition and encourages investments in NGA networks; and (iii) the reviewed research articles are not consistent with the current regulatory framework in the European NGA market in terms of both the evolution of the regulatory goals over time and the recommended regulatory settings. This paper aims to propose a novel approach in order to effectively meet the current regulatory goals using the recommended settings. It is shown that the proposed approach, which is based on the basic principles governing a Credit Default Swap (CDS), provides an effective migration path towards facilities-based competition over NGA networks.     

Individual investors and social ownership structures in the UK before the 1930s: Joint holdings and trustee investment

After the introduction of limited liability, a growing number of individuals in Britain from a widening social spectrum, including the less affluent, began to own stocks and shares. Drawing upon a unique and large dataset of 35 848 investors between 1870 and 1935, this study analyses joint holdings which have been a neglected aspect of investor behaviour. Our findings reveal that joint holdings were quite common and that about one in five UK investors were involved in a joint investment. Men were more likely to be joint holders than women for reasons related to institutions of social ownership such as trusts and executorships.     

BAYESIAN DYNAMIC VARIABLE SELECTION IN HIGH DIMENSIONS

This article addresses the issue of inference in time-varying parameter regression models in the presence of many predictors and develops a novel dynamic variable selection strategy. The proposed variational Bayes dynamic variable selection algorithm allows for assessing at each time period in the sample which predictors are relevant (or not) for forecasting the dependent variable. The algorithm is used to forecast inflation using over 400 macroeconomic, financial, and global predictors, many of which are potentially irrelevant or short-lived. The new methodology is able to ensure parsimonious solutions to this high-dimensional estimation problem, which translate into excellent forecast performance.