This paper develops ensemble machine learning models (XGBoost, Gradient Boosting, and AdaBoost in addition to Random Forest) for predicting stock returns of Indian banks using technical indicators. These indicators are based on three broad categories of technical analysis: Price, Volume, and...

This paper presents an overview of the contemporary issues and challenges of Indian higher education, and looks in particular at ways in which potential foreign participants can legitimately play a role in the sector. It does not seek to make a case for increased foreign participation, but...

Riders for Health is an independent UK-based NGO that operates in a number of African countries. Its focus is on the health sector, particularly in developing ways of adapting and maintaining transport systems that are uniquely suited to African terrain and conditions. Although officially a...

Historically, foreign participation has had an unimpressive record and has faced numerous functional and ideological barriers. However, subtle changes are emerging in the government’s views on the subject. The ability of the foreign universities to take advantage of these changes will depend...

This paper develops ensemble machine learning models (XGBoost, Gradient Boosting, and AdaBoost in addition to Random Forest) for predicting stock returns of Indian banks using technical indicators. These indicators are based on three broad categories of technical analysis: Price, Volume, and...

The paper examines the state of public sector hospitals, how they are being compelled to transform into profit churning units through reforms, and in the process alienating poor and the underprivileged groups from public hospital inpatient care.

Falling costs of coordination and communication have allowed firms in rich countries to fragment their production process and offshore an increasing share of the value chain to low-wage countries. This paper proposes a Ricardian model where both of these effects are present and analyzes the...