If the Financial System Is Complex, How Can We Regulate It
Bibliographic Data
| ID | 12155195 |
|---|---|
| Authors | Edoardo Gaffeo (0000-0002-2236-2104, University of Trento, corresponding author), Roberto Tamborini (0000-0003-0416-1437, University of Trento) |
| Year | 2011 |
| Volume | 40 |
| Issue | 2 |
| Pages | 79-97 |
| Publication date | 2011-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Political Economy (JOURNAL) |
| Journal identifiers | ISSN: 0891-1916 • E-ISSN: 1558-0970 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.2753/ijp0891-1916400205 |
| OpenAlex | W2063100645 |
| Language | EN |
| Citations received | 4 |
| References cited | 34 |
The great financial crisis that erupted in 2007 has shaken not only the world economy but also the so-called mainstream of economics. As a major corollary, the issue of how financial markets are or should be regulated is in the eye of the storm. In this article, we discuss a new approach to economic analysis that is gradually emerging from the current debate, that of complexity, which is gaining ground especially in finance, particularly in the field of network analysis. We discuss the relationship between economic complexity and economic policy from the perspective of the search for new regulatory tools of financial systems. Our main point is that the complexity approach to financial markets by way of network analysis may represent a major stride in our understanding of these systems but also that we should be aware that this approach poses formidable challenges to policy design
Business · Corollary · Economic system · Economics · Field (mathematics · Financial crisis · Financial market · Financial regulation · Macroeconomics · Mainstream · Perspective (graphical · Point (geometry · Political science · Banking stability, regulation, efficiency · Complex Systems and Time Series Analysis · Computer Science · Economic theories and models · Finance
The Science of Monetary Policy
Random graphs with arbitrary degree distributions and their applications
Complex Social Networks
The Sensory Order
Beyond DSGE Models
Financial Contagion
Social and Economic Networks
Keynote Address to the 2003 Hope Conference
Whom or What Does the Representative Individual Represent
A Macroprudential Approach to Financial Regulation
Macroeconomics after the Crisis
The Macroeconomist as Scientist and Engineer
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2010 - 2022 (13) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |