The demand for tourism in North East England with special reference to Northumbria: an empirical analysis

This paper examines the trends of tourism in North East England. In particular, we focus on the area of Northumbria to show the potential of tourism for economic development in the region. Within this analysis, we concentrate on the demand for tourism in the region, and in particular we are concerned with tourism by UK residents in Northumbria (‘domestic’ tourism). The long run relationship between domestic tourism demand, and a number of economic factors effecting this demand, is considered using the Johansen and Juselius (1990, 1992) Multivariate Cointegration analysis. An error-correction model is then proposed for short-run forecasting of domestic demand for tourism in Northumbria.     

The components of the bid-ask spread: a general approach

A simple time-series market microstructure model is constructedwithin which existing models of spread components are reconciled.We show that existing models fail to decompose the spread intoall its components. Two alternative extensions of the simplemodel are developed to identify all the components of the spreadand to estimate the spread at which trades occur. The empiricalresults support the presence of a large order processing componentand smaller, albeit significant, adverse selection and inventorycomponents. The spread components differ significantly accordingto trade size and are also sensitive to assumptions about therelation between orders and trades.     

Stock market structure and volatility

The procedure for opening stocks on the NYSE appears to affectprice volatility. An analytical framework for assessing themagnitude of the structurally induced volatility is presented.The ratio of variance of open-to-open returns to close-to-closereturns is shown to be consistently greater than one for NYSEcommon stocks during the period 1982 through 1986. The greatervolatility at the open is not attributable to the way in whichpublic information is released since both the open-to-open returnand the close-to-close return span the same period of time.Instead, the greater volatility appears to be attributable toprivate information revealed in trading and to temporary pricedeviations induced by specialist and other traders. The impliedcost of immediacy at the open is significantly higher than atthe close. Other empirical evidence in this article documentsthe volume of trading at the open, the time delays between theexchange opening and the first transaction in a stock, the differencein daytime volatility versus overnight volatility, and the extendto which volatility is related to trading volume.     

Market microstructure and stock return predictions

To what extent are the empirical regularities implied by marketmicrostructure theories useful in predicting the short-run behaviorof stock returns? A two-equation econometric model of quoterevisions and transaction returns is developed and used to identifythe relative importance of different microstructure theoriesand to make predictions. Microstructure variables and laggedstock index futures returns have in-sample and out-of-samplepredictive power based on data observed at five-minute intervals.The most striking microstructure implication of the model, confirmedby the empirical results, specifies that the expected quotereturn is positively related to the deviation between the transactionprice and the quote midpoint while the expected transactionreturn is negatively related to the same variable.