This essay introduces a new featured section, to be published in Small Axe annually, that explores the critical vocabulary of field Caribbean studies.

Abstract “Queer” is a relatively recent and somewhat controversial term in African studies. Yet it proving to be productive, not only for understanding subjectivities of sexuality gender, but also situating Africa’s position the larger economy knowledge. Otu van Klinken explore productive tensions between “queer” “Africa,” aim read Africa as queer from Africa. Thus, rather than imagining polar ...

We study the forecasting of future realized volatility in the foreign exchange, stock, and bond markets from variables in the information set, including implied volatility backed out from option prices. Realized volatility is separated into its continuous and jump components, and the heterogeneous autoregressive (HAR) model is applied with implied volatility as an additional forecasting variabl...

The timeliness, precision, and low cost of search data have great potential for projecting tourist volume. Obtaining valuable information decision-making, particularly predicting, is hampered by the vast amount data. A systematic investigation keyword selection processing has been conducted. Using Beijing volume as an example, 11 different feature extraction algorithms were selected combined wi...

Text analysis methods for the automatic identification of emerging technologies by analyzing the scientific publications, are gaining attention because of their socio-economic impact. The approaches so far have been mainly focused on retrospective analysis by mapping scientific topic evolution over time. We propose regression based approaches to predict future keyword distribution. The predicti...

a r t i c l e i n f o Keywords: Sales forecasting Computer wholesaler Multivariate adaptive regression splines Artificial neural networks IT industry Artificial neural networks (ANNs) have been found to be useful for sales/demand forecasting. However, one of the main shortcomings of ANNs is their inability to identify important forecasting variables. This study uses multivariate adaptive regres...