Traditional approaches to predicting business cycles are limited by their omission of financial variables, which, in turn, leads to failures to signal financial-sector crises and to misestimate the duration and intensity of economic events. This study addresses this challenge by constructing a...

This study applies machine learning methods to predict the Canadian yield curve using a comprehensive set of macroeconomic variables. Lagged values of the yield curve and a wide array of Canadian and international macroeconomic variables are utilized across various machine learning models....

The present research intends to identify the various factors which influences consumers intentions towards the adoption of e-wallets. “(TAM) & (UTAUT) are utilised to propose a model. Sample size for this study was 370 which were further analyses using SPSS to extract the factors and test...

Understanding disparities in contest success is central to explaining how competition shapes the distribution of rewards, influence, or market shares. We introduce the Proportional Play Equilibrium (PPE), a boundedly rational alternative to Nash Equilibrium (NE) grounded in the Illusion of...

Understanding disparities in contest success is central to explaining how competition shapes the distribution of rewards, influence, or market shares. We introduce the Proportional Play Equilibrium (PPE), a boundedly rational alternative to Nash Equilibrium (NE) grounded in the Illusion of...