Capital Flows to Latin America and the Caribbean: 2014 Overview

Divergence in macro trends and in monetary policy in advanced economies was a dominant driver of rates and currencies in emerging markets in 2014. Diverging macroeconomic developments were reflected in different monetary policy actions in 2014, with the European Central Bank (ECB) and the Bank of Japan (BOJ) moving in the opposite direction of the U.S. Federal Reserve. The unwinding of the U.S. monetary stimulus, while the ECB and the BOJ step up their monetary stimulus, has underpinned an appreciation by the U.S. dollar, in which most commodities are priced. Latin American markets, which started the year under pressure from fears of the U.S. Federal Reserve tapering off its quantitative easing program and concerns over stability, ended 2014 under pressure from a stronger U.S. dollar. However, there are many signs that a slowdown in LAC financial markets – particularly debt markets, which have been breaking records in debt issuance for the past six years – is under way. The region’s growth prospects look somewhat brighter in 2015 relative to 2014, but a strengthening U.S. dollar, uneven global growth and weakness in commodity prices are skewing the risk toward the downside for the 2015 forecasts across the region.

Finanças comportamentais e modelos baseados em agentes

Pós-graduação em Economia - FCLAR

Confidence and the Stock Market: An Agent-Based Approach

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The bias in reversing the Box-Cox transformation in time series forecasting: An empirical study based on neural networks

The Box-Cox transformation is a technique mostly utilized to turn the probabilistic distribution of a time series data into approximately normal. And this helps statistical and neural models to perform more accurate forecastings. However, it introduces a bias when the reversion of the transformation is conducted with the predicted data. The statistical methods to perform a bias-free reversion require, necessarily, the assumption of Gaussianity of the transformed data distribution, which is a rare event in real-world time series. So, the aim of this study was to provide an effective method of removing the bias when the reversion of the Box-Cox transformation is executed. Thus, the developed method is based on a focused time lagged feedforward neural network, which does not require any assumption about the transformed data distribution. Therefore, to evaluate the performance of the proposed method, numerical simulations were conducted and the Mean Absolute Percentage Error, the Theil Inequality Index and the Signal-to-Noise ratio of 20-step-ahead forecasts of 40 time series were compared, and the results obtained indicate that the proposed reversion method is valid and justifies new studies. (C) 2014 Elsevier B.V. All rights reserved.

Finanças comportamentais e a formação de bolhas especulativas

Economic crises caused by speculative bubbles are recurring in economic history but there is still no consensus on how it begins, grows and overflows. Economists and regulators seem to be inefficient in predicting and preventing this process, which is so detrimental to economic functioning. This failure proved to be obvious with the American subprime crises, which had great impact on various sectors of the U.S. economy. In this paper, we perform a literature review of the traditional theory of finance, mainly represented by the Efficient Market Hypothesis. According to this theory, asset prices always reflect their intrinsic value, assumption that doesn’t match the price boom followed by a crash, observed in the crisis generated by speculative bubbles. Finally, we present a new way to analyze this phenomenon, in the light of the investors’ behavioral aspects and the flaws inherent to the financial markets

A crise do subprime e seus efeitos sobre os Estados Unidos e reflexos no Brasil

Between December 2007 and June 2009 the United States witnessed 18 months of recession that became known as the subprime crisis. Beginning in the housing market, the crisis moved into the banking and financial markets and spread throughout the entire economy through a domino effect, affecting the majority of other businesses. A major reflection of this was the large rise in unemployment rates due to business slashing jobs in an attempt to preserve cash. Although the crisis has officially ended, the unemployment rate reached over 10% in 2010 in the United States. American's continue to seek new jobs in a very difficult employment market, while attempting to manage the family household budget. American household income, which decreased either by pay cuts, job loss, and the effects of inflation, leads the majority of Americans to declare that the crisis had not yet ended. The crisis has spread to the world in varying degrees. Brazil was one of the countries least affected due to government policies and the large amount of foreign exchange. Although the crisis has affected Brazil only slightly, we will show how it reached this country and how the government solved this problem. This research paper will explain how the subprime crisis began, how it manifested itself in the U.S. economy and throughout the population. Also, it will show the crisis’ effects in Brazil and show some statements from Americans with their respective views and their experiences relative to the crisis

Sincronia das bolsas de valores

This study aims to analyze various index stock exchanges around the world, with mathematical methods, analyzing the Product Distribution function (PDF), cumulative distribution and correlation. It is thought that the world economy is connected, as if the financial markets were a network, where the fluctuation of a market generates a variation on another and another, creating a pattern, that this change will affect the entire network, thus creating what we might call the domino effect. From this we intend to study, using as a basis the main index of the major stock exchanges around the world the relationship they have with each other, analyzing the influence and correlation that generates this effect, showing that markets are connected and influence each other. We can see this effect in the crisis of 2008, where the U.S. market from one moment to the other was shaken, affecting the whole world in a few days, creating effects that are felt in the present day

A importância do mercado de capitais: considerações das teorias econômica e financeira

This paper attempts to analyze and highlight the importance of the capital market for growth and economic development of the country, sustainable business growth and growth of the assets of an individual, as an alternative investment and financing. Were also examined the barriers to further growth of this market and relevant criticism about this. The study is guided from analyzes of economic and financial theories, concepts and fundamental principles for understanding the functioning of financial markets, even more specific, empirical analysis of the efficiency of markets and the stock market, in the context of Brazilian reality

Estudo e análise estatística no mercado de ações brasileiro

The objective of this paper is to verify and analyze the existence in Brazil of stylized facts observed in financial time series: volatility clustering, probability distributions with fat tails, the presence of long run memory in absolute return time series, absence of linear return autocorrelation, gain/loss asymmetry, aggregative gaussianity, slow absolute return autocorrelation decay, trading volume/volatility correlation and leverage effect. We analyzed intraday prices for 10 stocks traded at the BM&FBovespa, responsible for 52.1% of the Ibovespa portfolio on Sept. 01, 2009. The data analysis confirms the stylized facts, whose behavior is consistent with what is observed in international markets.

Do cooperativismo ao corporativismo: um estudo sobre a produção e comercialização de flores e plantas em Holambra/SP

Cooperatives as, in theory, an alternative front to the logic of financial markets, the territory has, in theory, an organization which differs from the structure based on the competitiveness of the capitalist system. The municipality of Holambra (SP) presents the marketing of flowers and ornamental plants, along with their production, the cooperative system, which started in the Cooperative Veiling Holambra. However, this cooperative as it is effective in cooperative study in question, it is questionable as to its structure and operation, by taking features that most resemble the corporatist practices of the cooperative. And because the cozy territory of all new technical systems that have and are being installed, the study seeks to understand these cooperative structures from the use made by the renewed objects and actions of the territory

The relationship between banking market competition and risk-taking: Do size and capitalization matter?

This paper addresses the effects of bank competition on the risk-taking behaviors of banks in 10 Latin American countries between 2003 and 2008. We conduct our empirical approach in two steps. First, we estimate the Boone indicator, which is a measure of competition. We then regress this measure and other explanatory variables on the banking "stability inefficiency" derived simultaneously from the estimation of a stability stochastic frontier. Unlike previous findings, this paper concludes that competition affects risk-taking behavior in a non-linear way as both high and low competition levels enhance financial stability, while we find the opposite effect for average competition. In addition, bank size and capitalization are essential factors in explaining this relationship. On the one hand, the larger a bank is, the more it benefits from competition. On the other hand, a greater capital ratio is advantageous for banks that operate in collusive markets, while capitalization only enhances the stability of larger banks under high and average competition. These results are of extreme importance when considering bank regulations, especially in light of the recent turmoil in the global financial markets. (C) 2012 Elsevier B.V. All rights reserved.

Il conflitto fra trasparenza sui mercati finanziari ed esigenza di riservatezza della società

The thesis main topic is the conflict between disclosure in financial markets and the need for confidentiality of the firm. After a recognition of the major dynamics of information production and dissemination in the stock market, the analysis moves to the interactions between the information that a firm is tipically interested in keeping confidential, such as trade secrets or the data usually covered by patent protection, and the countervailing demand for disclosure arising from finacial markets. The analysis demonstrates that despite the seeming divergence between informational contents tipically disclosed to investors and information usually covered by intellectual property protection, the overlapping areas are nonetheless wide and the conflict between transparency in financial markets and the firm’s need for confidentiality arises frequently and sistematically. Indeed, the company’s disclosure policy is based on a continuous trade-off between the costs and the benefits related to the public dissemination of information. Such costs are mainly represented by the competitive harm caused by competitors’ access to sensitive data, while the benefits mainly refer to the lower cost of capital that the firm obtains as a consequence of more disclosure. Secrecy shields the value of costly produced information against third parties’ free riding and constitutes therefore a means to protect the firm’s incentives toward the production of new information and especially toward technological and business innovation. Excessively demanding standards of transparency in financial markets might hinder such set of incentives and thus jeopardize the dynamics of innovation production. Within Italian securities regulation, there are two sets of rules mostly relevant with respect to such an issue: the first one is the rule that mandates issuers to promptly disclose all price-sensitive information to the market on an ongoing basis; the second one is the duty to disclose in the prospectus all the information “necessary to enable investors to make an informed assessment” of the issuers’ financial and economic perspectives. Both rules impose high disclosure standards and have potentially unlimited scope. Yet, they have safe harbours aimed at protecting the issuer need for confidentiality. Despite the structural incompatibility between public dissemination of information and the firm’s need to keep certain data confidential, there are certain ways to convey information to the market while preserving at the same time the firm’s need for confidentality. Such means are insider trading and selective disclosure: both are based on mechanics whereby the process of price reaction to the new information takes place without any corresponding activity of public release of data. Therefore, they offer a solution to the conflict between disclosure and the need for confidentiality that enhances market efficiency and preserves at the same time the private set of incentives toward innovation.

Black-scholes type equations

In this work we are concerned with the analysis and numerical solution of Black-Scholes type equations arising in the modeling of incomplete financial markets and an inverse problem of determining the local volatility function in a generalized Black-Scholes model from observed option prices. In the first chapter a fully nonlinear Black-Scholes equation which models transaction costs arising in option pricing is discretized by a new high order compact scheme. The compact scheme is proved to be unconditionally stable and non-oscillatory and is very efficient compared to classical schemes. Moreover, it is shown that the finite difference solution converges locally uniformly to the unique viscosity solution of the continuous equation. In the next chapter we turn to the calibration problem of computing local volatility functions from market data in a generalized Black-Scholes setting. We follow an optimal control approach in a Lagrangian framework. We show the existence of a global solution and study first- and second-order optimality conditions. Furthermore, we propose an algorithm that is based on a globalized sequential quadratic programming method and a primal-dual active set strategy, and present numerical results. In the last chapter we consider a quasilinear parabolic equation with quadratic gradient terms, which arises in the modeling of an optimal portfolio in incomplete markets. The existence of weak solutions is shown by considering a sequence of approximate solutions. The main difficulty of the proof is to infer the strong convergence of the sequence. Furthermore, we prove the uniqueness of weak solutions under a smallness condition on the derivatives of the covariance matrices with respect to the solution, but without additional regularity assumptions on the solution. The results are illustrated by a numerical example.

Banking Regulation in Turkey and Russia: An Economic Analysis

The importance of the banks and financial markets relies on the fact that they promote economic efficiency by allocating savings efficiently to profitable investment opportunities.An efficient banking system is a key determinant for the financial stability.The theory of market failure forms the basis for understanding financial regulation.Following the detrimental economic and financial consequences in theaftermath of the crisis, academics and policymakers started to focus their attention on the construction of an appropriate regulatory and supervisory framework of the banking sector. This dissertation aims at understanding the impact of regulations and supervision on banks’ performance focusing on two emerging market economies, Turkey and Russia. It aims at examining the way in which regulations matter for financial stability and banking performance from a law & economics perspective. A review of the theory of banking regulation, particularly as applied to emerging economies, shows that the efficiency of certain solutions regarding banking regulation is open to debate. Therefore, in the context of emerging countries, whether a certain approach is efficient or not will be presented as an empirical question to which this dissertation will try to find an answer.

Scenari finanziari e portafogli ottimi: modelli di previsione e strategie per l'asset allocation tattica

Le scelte di asset allocation costituiscono un problema ricorrente per ogni investitore. Quest’ultimo è continuamente impegnato a combinare diverse asset class per giungere ad un investimento coerente con le proprie preferenze. L’esigenza di supportare gli asset manager nello svolgimento delle proprie mansioni ha alimentato nel tempo una vasta letteratura che ha proposto numerose strategie e modelli di portfolio construction. Questa tesi tenta di fornire una rassegna di alcuni modelli innovativi di previsione e di alcune strategie nell’ambito dell’asset allocation tattica, per poi valutarne i risvolti pratici. In primis verificheremo la sussistenza di eventuali relazioni tra la dinamica di alcune variabili macroeconomiche ed i mercati finanziari. Lo scopo è quello di individuare un modello econometrico capace di orientare le strategie dei gestori nella costruzione dei propri portafogli di investimento. L’analisi prende in considerazione il mercato americano, durante un periodo caratterizzato da rapide trasformazioni economiche e da un’elevata volatilità dei prezzi azionari. In secondo luogo verrà esaminata la validità delle strategie di trading momentum e contrarian nei mercati futures, in particolare quelli dell’Eurozona, che ben si prestano all’implementazione delle stesse, grazie all’assenza di vincoli sulle operazioni di shorting ed ai ridotti costi di transazione. Dall’indagine emerge che entrambe le anomalie si presentano con carattere di stabilità. I rendimenti anomali permangono anche qualora vengano utilizzati i tradizionali modelli di asset pricing, quali il CAPM, il modello di Fama e French e quello di Carhart. Infine, utilizzando l’approccio EGARCH-M, verranno formulate previsioni sulla volatilità dei rendimenti dei titoli appartenenti al Dow Jones. Quest’ultime saranno poi utilizzate come input per determinare le views da inserire nel modello di Black e Litterman. I risultati ottenuti, evidenziano, per diversi valori dello scalare tau, extra rendimenti medi del new combined vector superiori al vettore degli extra rendimenti di equilibrio di mercato, seppur con livelli più elevati di rischio.