Speculative bubbles and contagion: analysis of volatility’s clusters during the DotCom bubble based on the dynamic conditional correlation model

Revendo a definição e determinação de bolhas especulativas no contexto de contágio, este estudo analisa a bolha do DotCom nos mercados acionistas americanos e europeus usando o modelo de correlação condicional dinâmica (DCC) proposto por Engle e Sheppard (2001) como uma explicação econométrica e, por outro lado, as finanças comportamentais como uma explicação psicológica. Contágio é definido, neste contexto, como a quebra estatística nos DCC’s estimados, medidos através das alterações das suas médias e medianas. Surpreendentemente, o contágio é menor durante bolhas de preços, sendo que o resultado principal indica a presença de contágio entre os diferentes índices dos dois continentes e demonstra a presença de alterações estruturais durante a crise financeira.

Speculative bubbles and contagion: analysis of volatility's clusters during the DotCom bubble based on the dynamic conditional correlation model

Reviewing the de nition and measurement of speculative bubbles in context of contagion, this paper analyses the DotCom bubble in American and European equity markets using the dynamic conditional correlation (DCC) model proposed by (Engle and Sheppard 2001) as on one hand as an econometrics explanation and on the other hand the behavioral nance as an psychological explanation. Contagion is de ned in this context as the statistical break in the computed DCCs as measured by the shifts in their means and medians. Even it is astonishing, that the contagion is lower during price bubbles, the main nding indicates the presence of contagion in the di¤erent indices among those two continents and proves the presence of structural changes during nancial crisis

Political institutions as substitute for democracy: a political economy analysis of economic growth

This manuscript empirically assesses the effects of political institutions on economic growth. It analyzes how political institutions affect economic growth in different stages of democratization and economic development by means of dynamic panel estimation with interaction terms. The new empirical results obtained show that political institutions work as a substitute for democracy promoting economic growth. In other words, political institutions are important for increasing economic growth, mainly when democracy is not consolidated. Moreover, political institutions are extremely relevant to economic outcomes in periods of transition to democracy and in poor countries with high ethnical fractionalization.

Unemployment insurance an analysis of optimal mechanisms under aggregate shocks

The purpose of this work is to provide a brief overview of the literature on the optimal design of unemployment insurance systems by analyzing some of the most influential articles published over the last three decades on the subject and extend the main results to a multiple aggregate shocks environment. The properties of optimal contracts are discussed in light of the key assumptions commonly made in theoretical publications on the area. Moreover, the implications of relaxing each of these hypothesis is reckoned as well. The analysis of models of only one unemployment spell starts from the seminal work of Shavell and Weiss (1979). In a simple and common setting, unemployment benefits policies, wage taxes and search effort assignments are covered. Further, the idea that the UI distortion of the relative price of leisure and consumption is the only explanation for the marginal incentives to search for a job is discussed, putting into question the reduction in labor supply caused by social insurance, usually interpreted as solely an evidence of a dynamic moral hazard caused by a substitution effect. In addition, the paper presents one characterization of optimal unemployment insurance contracts in environments in which workers experience multiple unemployment spells. Finally, an extension to multiple aggregate shocks environment is considered. The paper ends with a numerical analysis of the implications of i.i.d. shocks to the optimal unemployment insurance mechanism.

Analysis of contagion from the constant conditional correlation model with Markov regime switching

Over the last decades, the analysis of the transmissions of international nancial events has become the subject of many academic studies focused on multivariate volatility models volatility. The goal of this study is to evaluate the nancial contagion between stock market returns. The econometric approach employed was originally presented by Pelletier (2006), named Regime Switching Dynamic Correlation (RSDC). This methodology involves the combination of Constant Conditional Correlation Model (CCC) proposed by Bollerslev (1990) with Markov Regime Switching Model suggested by Hamilton and Susmel (1994). A modi cation was made in the original RSDC model, the introduction of the GJR-GARCH model formulated in Glosten, Jagannathan e Runkle (1993), on the equation of the conditional univariate variances to allow asymmetric e ects in volatility be captured. The database was built with the series of daily closing stock market indices in the United States (SP500), United Kingdom (FTSE100), Brazil (IBOVESPA) and South Korea (KOSPI) for the period from 02/01/2003 to 09/20/2012. Throughout the work the methodology was compared with others most widespread in the literature, and the model RSDC with two regimes was de ned as the most appropriate for the selected sample. The set of results provide evidence for the existence of nancial contagion between markets of the four countries considering the de nition of nancial contagion from the World Bank called very restrictive. Such a conclusion should be evaluated carefully considering the wide diversity of de nitions of contagion in the literature.

Brazil and Turkey, a comparative analysis of both countries' economic development and institutional design from the Great Depression to the early 21st century

Apos uma década de rápido crescimento econômico na primeira década do século 21, Brasil e Turquia foram considerados duas das economias emergentes mais dinâmicas e promissoras. No entanto, vários sinais de dificuldades econômicas e tensões políticas reapareceram recentemente e simultaneamente nos dois países. Acreditamos que esses sinais e a sua simultaneidade podem ser entendidos melhor com um olhar retrospectivo sobre a história econômica dos dois países, que revela ser surpreendentemente paralela. Numa primeira parte, empreendemos uma comparação abrangente da história econômica brasileira e turca para mostrar as numerosas similaridades entre os desafios de política econômica que os dois países enfrentaram, assim como entre as respostas que eles lhes deram desde a virada da Grande Depressão até a primeira década do século 21. Essas escolhas de política econômica comuns dão forma a uma trajetória de desenvolvimento notavelmente análoga, caracterizada primeiro pela adoção do modelo de industrialização por substituição das importações (ISI) no contexto da recessão mundial dos anos 1930; depois pela intensificação e crise final desse modelo nos anos 1980; e finalmente por duas décadas de estabilização e transição para um modelo econômico mais liberal. Numa segunda parte, o desenvolvimento das instituições econômicas e políticas, assim como da economia política subjacente nos dois países, são analisados comparativamente a fim de prover alguns elementos de explicação do paralelo observado na primeira parte. Sustentamos que o marco institucional estabelecido nos dois países durante esse período também têm varias características fundamentais em comum e contribui a explicar as escolhas de política econômica e as performances econômicas comparáveis, detalhadas na primeira parte. Este estudo aborda elementos do contexto histórico úteis para compreender a situação econômica e política atual nos dois países. Potencialmente também constitui uma tentativa de considerar as economias emergentes numa perspectiva histórica e comparativa mais ampla para entender melhor as suas fraquezas institucionais e adotar um olhar mais equilibrado sobre seu potencial econômico.

Exploring different social media users from the millennials’ generation: a cross-cultural behavioral analysis of brazilian users of Facebook and chinese users of RenRen

With the increasing importance of digital communication and its distinct characteristics, marketing tools and strategies adopted by companies have changed dramatically. Among the many digital marketing tools and new media channels available for marketers, the phenomenon known as social media is one of the most complex and enigmatic. It has a range that still is quite unexplored and deeply transforms the present view on the promotion mix (Mangold & Faulds, 2009). Conversations among users on social media directly affect their perceptions on products, services and brands. But more than that, a wide range of other subjects can also become topics of conversations on social media. Hit songs, sporting events, celebrity news and even natural disasters and politics are topics that often become viral on the web. Thus, companies must grasp that, and in order to become more interesting and relevant, they must take part in these conversations inserting their brands in these online dynamic dialogues. This paper focuses on how these social interactions are manifested in the web in to two distinct cultures, Brazil and China. By understanding the similarities and differences of these cultures, this study helps firms to better adjust its marketing efforts across regions, targeting and positioning themselves, not only geographically and culturally, but also across different web platforms (Facebook and RenRen). By examining how companies should focus their efforts according to each segment in social media, firms can also maximize its results in communication and mitigate risks. The findings suggest that differences in cultural dimensions in these two countries directly affect their virtual social networking behavior in many dimensions (Identity, Presence, Relationships, Reputation, Groups, Conversations and Sharing). Accordingly, marketing efforts must be tailored to each comportment and expectations.

Convergence analysis of sampling-based decomposition methods for risk-averse multistage stochastic convex programs

We consider a class of sampling-based decomposition methods to solve risk-averse multistage stochastic convex programs. We prove a formula for the computation of the cuts necessary to build the outer linearizations of the recourse functions. This formula can be used to obtain an efficient implementation of Stochastic Dual Dynamic Programming applied to convex nonlinear problems. We prove the almost sure convergence of these decomposition methods when the relatively complete recourse assumption holds. We also prove the almost sure convergence of these algorithms when applied to risk-averse multistage stochastic linear programs that do not satisfy the relatively complete recourse assumption. The analysis is first done assuming the underlying stochastic process is interstage independent and discrete, with a finite set of possible realizations at each stage. We then indicate two ways of extending the methods and convergence analysis to the case when the process is interstage dependent.