This article compares the direct regulation of hedge funds in the U.S. prior to the Dodd-Frank Act with the direct regulatory measures to address potential systemic risks of hedge funds ensued in its aftermaths. The direct regulation involves regulatory measures focusing immediately on the...

The central problem for financial regulation is reducing systemic risk. Systemic risk is the risk that the failure of one significant institution can cause or significantly contribute to the failure of other significant institutions. This paper addresses the five most important policies for...

This working paper reviews the work of the Financial Stability Oversight Council (FSOC) in terms of identifying potential systemic risk in the nonbank sector under authority from the Dodd-Frank Wall Street Reform Act of 2010. We discuss past efforts by the agencies represented within the FSOC to...

In the present paper an attempt will be made to show econometrically with panel data that as globalization increases, banking risk goes also up but not by as much. Panel data are elaborated by means of Eviews software package. The sample covers during 1999–2007 Western Europe and the United States

Starting from the observation that at the multilateral level shareholder activism is considered as an important aspect of good corporate governance, this paper examines several legal and economic obstacles to institutional investor activism in the EU and in the US. We find that investors in the...

This paper examines the economic consequences of institutional investors outsourcing research and voting decisions in public company elections to proxy advisory firms. We investigate the implications of these decisions in the context of shareholder say-on-pay voting required in 2011 under the...

This paper discusses the design and analyzes the potential benefits and costs of executive pay package policy within the US 2009 Emergency Economic Stabilization Act (EESA), commonly known "Bailout". It shows that the ultimate effect of the EESA on executive compensation is generally difficult...

We investigate the use of machine learning (ML) and other robust-estimation techniques in event studies conducted on single securities for the purpose of securities litigation. Single-firm event studies are widely used in civil litigation, with billions of dollars in settlements hinging on the...

I have divided this testimony into four sections, which discuss: (1) several types of automation currently being deployed in capital markets and the financial sector, and how they affect decision-making; (2) how machine learning (ML) and automation can help and hurt workers by disruption of the...