This paper presents a framework for the construction of a residential real estate price index for Jamaica. This real estate price index will consist of a sales value-weighted aggregation of price sub-indices across geographical regions or zones. In this study, a hedonic price imputation model for housing in the parishes of Kingston & St. Andrew is estimated using mortgage transaction and assess...

In this paper, it is shown how one can employ the wavelet analysis to reconstruct data based only on the subset of information that differentiates the two fundamentally related time series: spot and futures indices. Such an analysis allows researchers to focus on examining the relationship between the two price series. Furthermore, it also enables examination and comparison of reconstructed pri...

Scanner data offer new opportunities for CPI or HICP calculation. They can be obtained from a wide variety of retailers (supermarkets, home electronics, Internet shops, etc.) and provide information at the level barcode. One advantages using scanner is fact that they contain complete transaction information, i.e. prices quantities every sold item. After clearing unifying product names, products...

The application of deep learning approaches to finance has received a great deal of attention from both investors and researchers. This study presents a novel deep learning framework where wavelet transforms (WT), stacked autoencoders (SAEs) and long-short term memory (LSTM) are combined for stock price forecasting. The SAEs for hierarchically extracted deep features is introduced into stock pr...