This paper compares various machine learning models to predict the cross-section of emerging market stock returns. We document that allowing for non-linearities and interactions leads to economically and statistically superior out-of-sample returns compared to traditional linear models. Although...

We examine the F score in global emerging markets and show there is a meaningful premium attached to high F score stocks which is unrelated to the size, value and momentum premiums. It is larger for high value stocks, moderately higher for high momentum stocks and unrelated to stock size. This...

Financial institutions have witnessed numerous episodes of financial crises all over the world during the last four decades. The researchers, academicians and policy makers in the field of finance studied these episodes extensively and to mitigate the risk involved in these crises have proposed...

We develop a classification methodology for the context and content of news articles to predict risk and return in stock markets in 51 developed and emerging economies. A parsimonious summary of news, including topic-specific sentiment, frequency, and unusualness (entropy) of word flow, predicts...

This paper examines the quarter-ahead out-of-sample predictability of Brazil, Mexico, the Philippines and Turkey credit spreads before and after the Lehman Brothers' default. A model based on the country-specific credit spread curve factors predicts no better than the random walk and slope...

In the event that the COVID-19 pandemic spreads across various stock markets, this study may be deemed as one of the primary studies to evaluate cross-market interactions. The study examines the spread of contagious effects originating from developed economies (the United States, the United...

In almost all stages of forecasting volatility, certain subjective decisions need to be made. Despite of an enormous literature in the area, these subjectivities are hindrances to reaching an overall conclusion on the performances of the models. In order to find out outperforming model in...

We propose a coherent framework using support vector regression (SRV) for generating and ranking a set of high quality models for predicting emerging market sovereign credit spreads. Our framework adapts a global optimization algorithm employing an hv-block cross-validation metric, pertinent for...

Foreign portfolio flows constitute a key component of economic activity in small open economies such as Colombia. The dynamics of these flows are subject to the influence of both external (push) factors and domestic (pull) factors. Consequently, economic crises and episodes of financial distress...

This presentation is about poverty and redistribution in emerging economics. It was prepared for the Asian Development Bank’s Distinguished Speakers Program held on 25 October 2011 at the ADB Headquarters. Various types of poverty alleviation programs are discussed, and the central role of...