Short and long-term interactions between venture capital returns and the macroeconomy: evidence for the United States

The main purpose of this paper is to empirically model the influence of macroeconomic and financial variables on the performance of risk capital in the US. We start our investigation using a static long-run equilibrium model. In contrast to previous studies, we analyze the effect of several factors simultaneously within the framework of a vector error correction model (VECM). This allows us to study short- and long-term interactions to overcome the problem of endogeneity, and to discover causal mechanisms. The results show that the value of venture capital investments is positively related to industrial production, the exit channel Nasdaq, and the long-term interest rate. However, the value of venture capital investments is negatively related to the short-term interest rate. According to the short-term dynamics, VEC Granger causality confirms that only industrial production influences venture capital performance, while venture capital returns Granger causes Nasdaq performance.     

Semitractability of optimal stopping problems via a weighted stochastic mesh algorithm

In this paper, we propose a Weighted Stochastic Mesh (WSM) algorithm for approximating the value of discrete‐ and continuous‐time optimal stopping problems. In this context, we consider tractability of such problems via a useful notion of semitractability and the introduction of a tractability index for a particular numerical solution algorithm. It is shown that in the discrete‐time case the WSM algorithm leads to semitractability of the corresponding optimal stopping problem in the sense that its complexity is bounded in order by with being the dimension of the underlying Markov chain. Furthermore, we study the WSM approach in the context of continuous‐time optimal stopping problems and derive the corresponding complexity bounds. Although we cannot prove semitractability in this case, our bounds turn out to be the tightest ones among the complexity bounds known in the literature. We illustrate our theoretical findings by a numerical example.     

Backpackers in Hong Kong – motivations,preferences and contribution to sustainable tourism

This paper examines the backpacker market in Hong Kong, in terms of profile, motivation, preferences, and contribution to sustainable tourism development. The purpose is to provide an understanding of this market to help in marketing and promoting services and products that meet backpackers’ needs as part of expanding Hong Kong’s target market. Currently, Hong Kong relies on tourists from mainland China and recent reports reveal the issue of social conflicts between mainland tourists and Hong Kong residents. Based on a survey of backpackers in youth hostels and hiking trails in Hong Kong, this study revealed that backpackers are pushed by the search for new ideas and pulled by the uniquefood culture of Hong Kong, preferring to experience such a unique food culture in a traditional setting. Moreover, they are less likely to spend on international brands in Hong Kong as part of promoting sustainable tourism development.     

Sensitivities for Bermudan options by regression methods

In this article, we propose several pathwise and finite difference-based methods for calculating sensitivities of Bermudan options using regression methods and Monte Carlo simulation. These methods rely on conditional probabilistic representations that allow, in combination with a regression approach, for efficient simultaneous computation of sensitivities at many initial positions. Assuming that the price of a Bermudan option can be evaluated sufficiently accurate, we develop a method for constructing deltas based on least squares. We finally propose a testing procedure for assessing the performance of the developed methods and give a numerical illustration.     

International Comparisons of Australia's Infrastructure Performance

International benchmarking has played a key role in the reform of Australia's infrastructure industries by promoting indirect or yardstick competition, in highlighting the need for further reform and building a consensus for implementing necessary changes. The international benchmarking of infrastructure performance by the Bureau of Industry Economics (BIE) between 1991 and 1996 did much to focus attention on the need for change. The BIE examined the performance of eight infrastructure industries relative to international best practice: electricity, rail freight, telecommunications, the waterfront, road freight, coastal shipping, aviation and gas supply. Performance comparisons concentrated on indicators of price, service quality, labour productivity and capital productivity. This paper reviews and summarises the performance comparisons the BIE undertook over the last three years of its infrastructure benchmarking program. The BIE international benchmarking program provides a useful role model for other countries wanting to seriously pursue reform of their infrastructure industries.     

Agricultural disaster payments in the southeastern US: do weather and climate variability matter?

Governments around the world are forced to react to disasters caused by weather. The agricultural sector is particularly susceptible to weather extremes and adverse climate conditions. In the US, agricultural disaster payments account for a significant part of total agricultural subsidies. The payments, and their distribution, are more important in the areas most affected by disastrous weather events, usually coinciding with areas of pronounced impact of the El Nino Southern Oscillation (ENSO). In this article, the impact of weather and climate, as well as some economic variables, on disaster payments is analysed using county level data from four states in the southeastern United States. The results suggest that weather and climate variables explain most of the crop disaster payments at the county level while socioeconomic variables do not, suggesting that advancements in weather and climate forecasts could be helpful in planning for disaster compensation.     

Cultural Inertia and Uniformity in Organizations

We analyze aspects of the structure of organizational culture.We show that old and culturally uniform organizations are proneto cultural inertia, that is, they are reluctant to adopt adifferent culture in response to a change in the environment.Cultural uniformity can be beneficial because the associatedinertia ex post protects and therefore ex ante encourages culture-specificinvestments by agents. We also explore the model's implicationsfor such issues as cultural uniformity within an organization,cultural heterogeneity across organizations, the destabilizingeffect of growth and mergers, and the conflicts arising in themanagement of culture.     

Efficient local IV estimation of an empirical auction model

In this paper we examine semiparametric efficiency bounds and efficient estimators for the case of a linear local instrument variable (LIV) model under the assumptions studied in Abadie et al. (2002). We apply the semiparametrically efficient estimation method to analyze the relation between bid dispersion and early bidding in an online auction dataset, which is collected from a natural experiment conducted in Nekipelov (2007). The results confirm the theoretical findings developed in Nekipelov (2007). The semiparametric efficient estimation procedure substantially improves the statistical significance of the effect of jump bidding on bid dispersion.     

ANALYSIS OF THE CURRENT ACCOUNT POSITION OF FOUR ASIAN COUNTRIES BEFORE THE 1997 CRISIS

Abstract.  The current paper presents an empirical analysis of the current account positions during the pre Asian crisis period, in the four most crisis-hit countries (namely Thailand, the Philippines, South Korea and Indonesia). We have employed the procedures advocated by Husted for the presence of stationarity in current accounts by estimating a cointegration relationship between any country's exports and imports. The results do not substantiate the presence of cointegration between the series, implying that the macroeconomic fundamentals in these countries prior to the crisis were far from robust, at least from the perspective of current account sustainability.     

Becoming A Leader In A Complex Organization

For a new leader, the process of entering and establishing a position of leadership in a complex organization presents a major challenge. This challenge seems particularly acute when authority, goals and technology are ambiguous, as in many professional service organizations. In this paper, we integrate ideas from the literature on socialization and role theory as well as that on executive succession processes to view new leader integration as a mutual adjustment process between two trajectories – that of the organization and that of the new leader. It is argued that this may lead to four possible types of integration outcomes: assimilation, transformation, accommodation and parallelism. Drawing on a case study of a large hospital, the paper identifies several mechanisms that can be mobilized by the new leader to enhance his or her room for manœuvre as the integration process evolves. The mechanisms can be classified as collaborative or affirmative, with each type having different risks and advantages. The case analysis further reveals that leader integration processes may be differentiated between different activity domains, dynamic over time (as the use of one type of integration approach alters the potential for another later), and interactive across different activity domains (as events in one part of the organization have consequences for those occurring in another).