Subsampling the distribution of diverging statistics with applications to finance

In this paper we propose a subsampling estimator for the distribution of statistics diverging at either known or unknown rates when the underlying time series is strictly stationary and strong mixing. Based on our results we provide a detailed discussion of how to estimate extreme order statistics with dependent data and present two applications to assessing financial market risk. Our method performs well in estimating Value at Risk and provides a superior alternative to Hill's estimator in operationalizing Safety First portfolio selection.     

An empirical comparison of continuous-time models of implied volatility indices

We explore the ability of alternative popular continuous-time diffusion and jump-diffusion processes to capture the dynamics of implied volatility indices over time. The performance of the various models is assessed under both econometric and financial metrics. To this end, data are employed from major European and American implied volatility indices and the rapidly growing CBOE volatility futures market. We find that the addition of jumps is necessary to capture the evolution of implied volatility indices under both metrics. Mean reversion is of second-order importance though. The results are consistent across the various metrics, markets, and construction methodologies.     

Mixed Poisson Distributions

Mixed Poisson distributions have been used in a wide range of scientific fields for modeling nonhomogeneous populations. This paper aims at reviewing the existing literature on Poisson mixtures by bringing together a great number of properties, while, at the same time, providing tangential information on general mixtures. A selective presentation of some of the most prominent members of the family of Poisson mixtures is made.     

Assessing the Transmission of Monetary Policy Using Time‐varying Parameter Dynamic Factor Models*

This article extends the current literature which questions the stability of the monetary transmission mechanism, by proposing a factor‐augmented vector autoregressive (VAR) model with time‐varying coefficients and stochastic volatility. The VAR coefficients and error covariances may change gradually in every period or be subject to abrupt breaks. The model is applied to 143 post‐World War II quarterly variables fully describing the US economy. I show that both endogenous and exogenous shocks to the US economy resulted in the high inflation volatility during the 1970s and early 1980s. The time‐varying factor augmented VAR produces impulse responses of inflation which significantly reduce the price puzzle. Impulse responses of other indicators of the economy show that the most notable changes in the transmission of unanticipated monetary policy shocks occurred for gross domestic product, investment, exchange rates and money.     

An investigation into international assignment directions of R&D MNE employees: evidence from Greece

In this study, we explore the effects of the roles of research and development (R&D) laboratories, roles of subsidiaries and level of technological intensity of the sector in which multinational enterprise (MNE) subsidiaries operate on international assignment directions of R&D employees. International assignments are an underinvestigated issue in the international human resource management literature despite its significant research and managerial importance. In particular, to the best of our knowledge, no prior research on international assignments of R&D employees has been undertaken and so the current study aims at filling this void in the literature. Based on a large quantitative research on MNE subsidiaries operating in Greece, the findings suggest that variables of the aforementioned categories of factors influence different international assignment directions, with roles of the R&D subsidiary exerting the most crucial effect. Researchers may examine the unexplored issue of R&D employee international assignments to a larger extent, while MNE management can particularly take into account the micro (laboratory) context of R&D international assignees when developing effective international human resource management programmes.     

Personality traits discriminating between employees in public- and in private-sector organizations

Based on data collected from public and private organizations in Greece, this paper examines the differences in individual traits between public and private-sector employees, differences which eventually influence employees' attitudes and behaviours towards their organizations and their consequent performance, specifically in organizational commitment and neglect behaviour. The findings indicate that there are some differences between the two groups of employees. In only three out of ten personality characteristics examined here (security needs, pay needs and Protestant work ethic), are there no distinctions between the groups. These findings imply that, besides the environmental and structural characteristics of the two sectors which may be the source of attitudinal differences, it might also be that persons attracted to the public sector have different personality characteristics from those attracted to the private sector. Regardless of the source of differences, results point to the need for changing recruitment and selection practices in public organizations as well as for implementing a number of human resource management practices, the lack of which seems to drive junior qualified staff away from the public sector where they are mostly needed. The later seems to be the case in Greece where the lower pay and the non-competitive, non-challenging atmosphere prevailing in most public-sector organizations seem to play an important role in driving most dynamic employees away from the public sector.     

Openness,Efficiency and Technology: An Industry Assessment

Most trade and macroeconomic models imply positive impacts on the economy from greater openness. And a key factor linking openness and progress is the efficiency with which resources are used. Empirically, however, the efficiency impacts of trade have been ambiguous. Using a stochastic frontier analysis, we examine the impact of openness on technical (in)efficiency for a sample of OECD economies. Unlike the bulk of related studies, we work at the industry level. Given recent debates, we additionally examine whether Information and Communication Technologies (ICT) expenditures impact openness and efficiency. We establish the elasticity of openness with respect to (in)efficiency; TFP and Scale Economies; and Technical Inefficiency across countries and sectors. Both openness and ICT usage have robustly positive impacts on efficiency. Our results shed light on the impact of, spillovers between, and heterogeneity across countries and industries from, increasing openness interacted with the use of advanced technologies.     

The option to expand to a next generation access network infrastructure and the role of regulation in a discrete time setting: A real options approach

Serious concerns have been raised, especially across Europe, about the role of regulation in network infrastructure investments. More specifically, the installation of optical fiber closer to customer premises, the so-called next generation access networks, requires massive investments in the face of demand and regulatory uncertainty. The purpose of this paper is to assess whether specific regulatory scenarios (permanent regulation, regulatory forbearance, regulatory holidays and sunset clauses) alter the timing of the investment decision of an incumbent to expand to a new network infrastructure exploiting the binomial lattice approach from real options analysis.     

Inflation,Monetary Policy and Reserve Requirement Ratio Adjustments in China

This study examines the relationship between inflation rate and reserve requirement ratio in China. Our findings show that there is a long-term relationship between reserve requirement ratio and inflation rate. In the short-run, the central bank adjusts the reserve requirement ratio upwards faster than they adjust them downwards. The asymmetric adjustment reflects the fact the Chinese economy was overheating over the past few years as a result of the stimulus package implemented after the onset of the global financial crisis and inflation was threatening the stability of the society.