We study the effects of various environmental regulations on environmental performance measured as emission intensity. Moreover, we aim to test whether any such effects are persistent or only temporary. Conventional theory predicts that indirect regulations as opposed to direct regulations...

Increasingly popular tailored regulation (TR) initiatives like EPA's Project XL allow plants to voluntarily substitute site-specific environmental performance standards for command-and-control regulations that dictate pollution abatement strategies. TR can significantly reduce participants'...

Achieving good regulatory outcomes normally requires high quality design, implementation and review of the regulatory regime. Major regulatory theories focus on concepts such as the public interest, the role of interest groups, and regulatory capture to explain why regulations come into...

The regulatory and institutional environment of a nation plays a critical role in shaping the level of entrepreneurship. By creating a conducive regulatory and institutional environment, governments can encourage entrepreneurial activity, leading to job creation, innovation, and economic growth....

Over the past decade, Africa has been experiencing an economic resurgence. Yet, the continent is facing several difficult challenges and many economies of the region continue to be among the least competitive in the world. Africa's competitiveness is adversely affected by: (i) poor regional...

This paper reviews the state of knowledge on the effectiveness of donor interventions aimed at improving the regulatory environment for private sector development in developing countries. Where regulatory reform is undertaken, the expectation is that there will be improvements to economic and...

Hybrid governance structures between markets and hierarchies in many industries, e.g., in energy and telecommunications, challenge antitrust and regulation policy. The paper focuses on the theoretical and methodological basis provided by the New Institutional Economics (NIE) for analyzing the...

We propose a novel method of Mean-Capital Requirement portfolio optimization. The optimization is performed using a parallel framework for optimization based on the Nondominated Sorting Genetic Algorithm II. Capital requirements for market risk include an additional stress component introduced...

Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from many limitations. HF data feature microstructure problem,...