Enforcing international financial standards in Brazil: limits and possibilities for adoption of IOSCO principles

Foreign capital and institutional investors play a key role in the Brazilian capital and financial markets. Internationally promoted regulatory patterns, especially IOSCO principles, have been increasingly influencing administrative rule making by the Brazilian Securities and Exchange Commission (CVM) as well as the adoption of transnational rules in Brazil by means of self-regulatory activity. Even though there is a certain level of convergence of market regulatory standards at the transnational level, implementation and enforcement of rules remains essentially domestic. We analyze two case studies regarding the transposition of international standards into the Brazilian legal system, which illustrate this tension between the transnational and domestic dimensions of financial markets regulation. The first case concerns a CVM rule on disclosure of executive compensation and the its interpretation by local courts. The second case refers to the adoption of suitability rules.

Inglorious revolution : sovereign debt, tropical credibility, and financial underdevelopment in imperial Brazil

In 1824 the creation of institutions that constrained the monarch’s ability to unilaterally tax, spend, and debase the currency put Brazil on a path toward a revolution in public finance, roughly analogous to the financial consequences of England’s Glorious Revolution. This credible commitment to honor sovereign debt resulted in successful long-term funded borrowing at home and abroad from the 1820s through the 1880s that was unrivalled in Latin America. Some domestic bonds, denominated in the home currency and bearing exchange clauses, eventually circulated in European financial markets. The share of total debt accounted for by long-term funded issues grew, and domestic debt came to dominate foreign debt. Sovereign debt yields fell over time in London and Rio de Janeiro, and the cost of new borrowing declined on average. The market’s assessment of the probability of default tended to decrease. Imperial Brazil enjoyed favorable conditions for borrowing, and escaped the strong form of “original sin” stressed by recent work on sovereign debt. The development of vibrant private financial markets did not, however, follow from the enhanced credibility of government debt. Private finance in Imperial Brazil suffered from politicized market interventions that undermined the development of domestic capital markets. Private interest rates remained high, entry into commercial banking was heavily restricted, and limited-liability joint-stock companies were tightly controlled. The Brazilian case provides a powerful counterexample to the general proposition of North and Weingast that institutional changes that credibly commit the government to honor its obligations necessarily promote the development of private finance. The very institutions that enhanced the credibility of sovereign debt permitted the systematic repression of private financial development. In terms of its consequences for domestic capital markets, the liberal Constitution of 1824 represented an “inglorious” revolution.

Regional financial cooperation

Includes bibliography

Multilateral banking and development financing in a context of financial volatility

Includes bibliography

Reforming the international financial architecture: consensus and divergence

Includes bibliography

International asymmetries and the design of the International Financial System

Includes bibliography

Financial repression and the Latin American finance pattern

Includes bibliography

The State, the markets and development financing

Includes bibliography

Identifying financial crises in real time

Following the thermodynamic formulation of a multifractal measure that was shown to enable the detection of large fluctuations at an early stage, here we propose a new index which permits us to distinguish events like financial crises in real time. We calculate the partition function from which we can obtain thermodynamic quantities analogous to the free energy and specific heat. The index is defined as the normalized energy variation and it can be used to study the behavior of stochastic time series, such as financial market daily data. Famous financial market crashes-Black Thursday (1929), Black Monday (1987) and the subprime crisis (2008)-are identified with clear and robust results. The method is also applied to the market fluctuations of 2011. From these results it appears as if the apparent crisis of 2011 is of a different nature to the other three. We also show that the analysis has forecasting capabilities. © 2012 Elsevier B.V. All rights reserved.

The global financial crisis: what happened and what’s next

Global economic conditions have been deteriorating sharply since mid- September 2008. Lending has dropped abruptly, credit spreads have widened sharply, stock markets have plunged and economies everywhere are stumbling. Governments around the world have undertaken unprecedented measures, including some coordinated intervention. However, global economic prospects remain troubled, and further policy action is required. In order to better understand the task before policy makers as they chart a new direction, this paper examines how the global economy arrived at its current predicament, looking back at the sequence of events that contributed to create havoc in financial markets, as well as the policy response they produced. In light of these events, we examine the impact on Latin American financial markets in particular. The global nature of the current crisis underscores the need for coordinating the policy response at the global level, as well as advancing towards a new international financial architecture that will make possible a more effective response to the build-up of systemic pressures.

The current financial and economic crisis: empirical and methodological issues

In this paper we describe the main causes of the recent financial crisis as a result of many theoretical, methodological, and practical shortcomings mostly according to heterodox, but also including some important orthodox economists. At theoretical level, there are problems concerning teaching and using economic models with overly unrealistic assumptions. In the methodological front, we find the unsuspected shadow of Milton Friedman’s ‘unrealisticism of assumptions’ thesis lurking behind the construction of this kind of models and the widespread neglect of methodological issues. Of course, the most evident shortcomings are at the practical level: (i) huge interests of the participants in the financial markets (banks, central bankers, regulators, rating agencies mortgage brokers, politicians, governments, executives, economists, etc. mainly in the US, Canada and Europe, but also in Japan and the rest of the world), (ii) in an almost completely free financial and economic market, that is, one (almost) without any regulation or supervision, (iii) decision-taking upon some not well regarded qualities, like irresponsibility, ignorance, and inertia; and (iv) difficulties to understand the current crisis as well as some biases directing economic rescues by governments. Following many others, we propose that we take this episode as an opportunity to reflect on, and hopefully redirect, economic theory and practice.

The structure and resilience of financial market networks

Financial markets can be viewed as a highly complex evolving system that is very sensitive to economic instabilities. The complex organization of the market can be represented in a suitable fashion in terms of complex networks, which can be constructed from stock prices such that each pair of stocks is connected by a weighted edge that encodes the distance between them. In this work, we propose an approach to analyze the topological and dynamic evolution of financial networks based on the stock correlation matrices. An entropy-related measurement is adopted to quantify the robustness of the evolving financial market organization. It is verified that the network topological organization suffers strong variation during financial instabilities and the networks in such periods become less robust. A statistical robust regression model is proposed to quantity the relationship between the network structure and resilience. The obtained coefficients of such model indicate that the average shortest path length is the measurement most related to network resilience coefficient. This result indicates that a collective behavior is observed between stocks during financial crisis. More specifically, stocks tend to synchronize their price evolution, leading to a high correlation between pair of stock prices, which contributes to the increase in distance between them and, consequently, decrease the network resilience. (C) 2012 American Institute of Physics. [doi:10.1063/1.3683467]

Econometric models of financial risks

The goal of this dissertation is to use statistical tools to analyze specific financial risks that have played dominant roles in the US financial crisis of 2008-2009. The first risk relates to the level of aggregate stress in the financial markets. I estimate the impact of financial stress on economic activity and monetary policy using structural VAR analysis. The second set of risks concerns the US housing market. There are in fact two prominent risks associated with a US mortgage, as borrowers can both prepay or default on a mortgage. I test the existence of unobservable heterogeneity in the borrower's decision to default or prepay on his mortgage by estimating a multinomial logit model with borrower-specific random coefficients.

Quantifying and modeling financial market fluctuations

Die Entstehung eines Marktpreises für einen Vermögenswert kann als Superposition der einzelnen Aktionen der Marktteilnehmer aufgefasst werden, die damit kumulativ Angebot und Nachfrage erzeugen. Dies ist in der statistischen Physik mit der Entstehung makroskopischer Eigenschaften vergleichbar, die von mikroskopischen Wechselwirkungen zwischen den beteiligten Systemkomponenten hervorgerufen werden. Die Verteilung der Preisänderungen an Finanzmärkten unterscheidet sich deutlich von einer Gaußverteilung. Dies führt zu empirischen Besonderheiten des Preisprozesses, zu denen neben dem Skalierungsverhalten nicht-triviale Korrelationsfunktionen und zeitlich gehäufte Volatilität zählen. In der vorliegenden Arbeit liegt der Fokus auf der Analyse von Finanzmarktzeitreihen und den darin enthaltenen Korrelationen. Es wird ein neues Verfahren zur Quantifizierung von Muster-basierten komplexen Korrelationen einer Zeitreihe entwickelt. Mit dieser Methodik werden signifikante Anzeichen dafür gefunden, dass sich typische Verhaltensmuster von Finanzmarktteilnehmern auf kurzen Zeitskalen manifestieren, dass also die Reaktion auf einen gegebenen Preisverlauf nicht rein zufällig ist, sondern vielmehr ähnliche Preisverläufe auch ähnliche Reaktionen hervorrufen. Ausgehend von der Untersuchung der komplexen Korrelationen in Finanzmarktzeitreihen wird die Frage behandelt, welche Eigenschaften sich beim Wechsel von einem positiven Trend zu einem negativen Trend verändern. Eine empirische Quantifizierung mittels Reskalierung liefert das Resultat, dass unabhängig von der betrachteten Zeitskala neue Preisextrema mit einem Anstieg des Transaktionsvolumens und einer Reduktion der Zeitintervalle zwischen Transaktionen einhergehen. Diese Abhängigkeiten weisen Charakteristika auf, die man auch in anderen komplexen Systemen in der Natur und speziell in physikalischen Systemen vorfindet. Über 9 Größenordnungen in der Zeit sind diese Eigenschaften auch unabhängig vom analysierten Markt - Trends, die nur für Sekunden bestehen, zeigen die gleiche Charakteristik wie Trends auf Zeitskalen von Monaten. Dies eröffnet die Möglichkeit, mehr über Finanzmarktblasen und deren Zusammenbrüche zu lernen, da Trends auf kleinen Zeitskalen viel häufiger auftreten. Zusätzlich wird eine Monte Carlo-basierte Simulation des Finanzmarktes analysiert und erweitert, um die empirischen Eigenschaften zu reproduzieren und Einblicke in deren Ursachen zu erhalten, die zum einen in der Finanzmarktmikrostruktur und andererseits in der Risikoaversion der Handelsteilnehmer zu suchen sind. Für die rechenzeitintensiven Verfahren kann mittels Parallelisierung auf einer Graphikkartenarchitektur eine deutliche Rechenzeitreduktion erreicht werden. Um das weite Spektrum an Einsatzbereichen von Graphikkarten zu aufzuzeigen, wird auch ein Standardmodell der statistischen Physik - das Ising-Modell - auf die Graphikkarte mit signifikanten Laufzeitvorteilen portiert. Teilresultate der Arbeit sind publiziert in [PGPS07, PPS08, Pre11, PVPS09b, PVPS09a, PS09, PS10a, SBF+10, BVP10, Pre10, PS10b, PSS10, SBF+11, PB10].

A Generic Model of Financial Repression

The paper develops a growth model in an overlapping generations framework of a financially repressed small open economy, and analyzes the effects of financial liberalization. The following observations are made: An increase (decrease) of interest rate (reserve requirements) reduces (increases) the steady-state stock of capital and the trade balance, but improves (deteriorates) the level of foreign exchange reserves. However, financial liberalization, in any form, is always welfare-improving. The paper, thus, advocates financial liberalization policies to be oriented towards reduction of reserve requirements rather than interest rate deregulation, if foreign reserve holding is not in a critical position.