Stock Price and Volume Effects Associated with Compositional Changes in European Stock Indices

This paper provides further evidence of price and volume effects associated with index compositional changes by analysing the inclusions (exclusions) from the French CAC40 and SBF120 indices, as well as the FTSE100. I find evidence supporting the price pressure hypothesis associated with index fund rebalancing, but weak or no evidence for the imperfect substitution, liquidity and information hypotheses. The results improve on recent evidence from the S&P500 index. The evidence for the FTSE100 additions shows, in particular, that markets learn about an imminent inclusion and incorporate this information into prices, even before the announcement date.     

Environmental protection versus economic growth

This paper presents and analyses the differences in the eco-models implemented worldwide （such as whether and how carbon taxes being ＂recycled＂）, or in their efficiency parameters （inconsistent parameter values that account for different results）. This is the assumption that a real tradeoff exists between the production of environmental goods. The present article empirically proves that something must be given up in order to gain something else, and once equations are specified to trace out the path of the economy over time, the natural economic formulation of such equations will embody the notion of economic and bio-tradeoffs.     

Three Corrected Score Tests for Generalized Linear Models with Dispersion Covariates

We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) .     

Fiscal stabilizations: When do they work and why

This paper studies the determinants and channels through which fiscal contractions influence the dynamics of the debt-to-GDP ratio and GDP growth. Using data from a panel of OECD countries, the paper shows that the success of fiscal adjustments in decreasing the debt-to-GDP ratio depends on the size of the fiscal contraction and less on its composition. The rate of growth of output matters too, but higher GDP growth does not drive the success of a fiscal stabilization. In contrast, whether a fiscal adjustment is expansionary depends largely on the composition of the fiscal maneuvre. In particular, stabilizations implemented by cutting public spending lead to higher GDP growth rates. The effects of the composition on growth work mostly through the labor market rather than through agents’ expectations of future fiscal policy. Finally, the evidence suggests that successful and expansionary fiscal contractions are not the result of accompanying expansionary monetary policy or exchange rate devaluations.     

Can negative interest rates really affect option pricing? Empirical evidence from an explicitly solvable stochastic volatility model

The profound financial crisis generated by the collapse of Lehman Brothers and the European sovereign debt crisis in 2011 have caused negative values of government bond yields both in the USA and in the EURO area. This paper investigates whether the use of models which allow for negative interest rates can improve option pricing and implied volatility forecasting. This is done with special attention to foreign exchange and index options. To this end, we carried out an empirical analysis on the prices of call and put options on the US S&P 500 index and Eurodollar futures using a generalization of the Heston model in the stochastic interest rate framework. Specifically, the dynamics of the option’s underlying asset is described by two factors: a stochastic variance and a stochastic interest rate. The volatility is not allowed to be negative, but the interest rate is. Explicit formulas for the transition probability density function and moments are derived. These formulas are used to estimate the model parameters efficiently. Three empirical analyses are illustrated. The first two show that the use of models which allow for negative interest rates can efficiently reproduce implied volatility and forecast option prices (i.e. S&P index and foreign exchange options). The last studies how the US three-month government bond yield affects the US S&P 500 index.     

Microeconometric Analysis of Residential Water Demand

This paper develops a structural model for obtaining price elasticities and evaluating consumer’s response to changes in nonlinear tariffs when only panel data on household consumption are available. The model and the empirical strategy address problems implied by nonlinear tariffs, existence of a fixed cost, and use of limited data, giving rise to a random effects model with a nonlinear individual effect. Results show that the estimated model does well at fitting data and demand is inelastic, although elasticity varies by initial consumption block. Then, I estimate welfare consequences of implementing several demand policies.     

Measuring image: shopping centre case studies

The first goal of the paper is to define the concept of micro-marketing, overcoming the 'specialized' perspectives and definitions that have prevailed so far. Micro-marketing relates to ways of controlling environment complexity, facilitated by information technology and required by highly competitive markets. Such control has three forms: segmentation , which reduces complexity to a controllable number of variables; organization , which absorbs a certain amount of complexity by modelling the structure onto the environment; technology , which explores complexity and dominates it through simplification. The second goal is to demonstrate that micro-marketing can build a sustained competitive advantage. Finally, the theoretical implication of the diffusion of a micromarketing approach in the retailing industry is discussed. The areas of strategy, organization, channel relationships, and customer satisfaction are examined. Should micro-marketing become widespread in the retailing industry, we argue that its final result would be increased welfare for the consumer, as long as retailers capitalize on the power of information and stand as a 'countervailing power' to suppliers in the channel.     

The average consumer, the unfair commercial practices directive, and the cognitive revolution

This article examines the merit of the test of the average consumer as a basis for judicial and regulatory action. In the first part, we describe the origin of the test, its application in the Unfair Commercial Practices Directive and its possible developments. In the second part, we discuss the theoretical grounds of the average consumer test (i.e., information and rationality), drawing upon the studies of cognitive psychology and behavioural economics concerning consumers’ behaviour. The result of our analysis is that we call into serious question the practical workability of the test of the average consumer, which requires consumers an overly demanding standard of rationality and information without dedicating much attention to the real functioning of consumer behaviour. The average consumer may be described as an interesting, anti-paternalistic and, to some extent, useful notion. It is, however, an overly simplistic concept with little correspondence with the real world of individual consumer behaviour and should be reinterpreted more flexibly, or even abandoned to mirror consumer behaviour more effectively.

Challenges faced by world tourism cities – London’s perspective

World tourism cities perform multiple functions and exhibit various characteristics that influence tourism development within their boundaries. They are the main gateway for tourists visiting a country and their success has a direct impact on the visitor economy of that destination. London, the focus of this research, has been one of the world’s top tourism cities for many years, and a key gateway for domestic and international visitors. But despite the important role tourism plays in the economy of the city, there is limited research on the development of this activity in the capital. Using London as an exploratory case study, this paper contributes to better understanding the challenges faced by policy makers when planning and managing tourism in world cities. The adopted research method offers the advantage of gathering insightful information using multiple data collection techniques. Examining this new evidence contributes to expanding the knowledge on the particularities of tourism development in one of the top world cities, which could help policy makers in their efforts to better prepare for potential challenges faced by these complex but important destinations.