This paper investigates the role of credit market sentiments and investor beliefs on credit cycle dynamics and their propagation to business cycle fluctuations. Using US data from 1968 to 2019, we show that credit market sentiments are indeed able to detect asymmetries in a small-scale macroeconomic model. By exploiting recent developments in behavioral finance on expectation formation in financial markets, we are able to identify an unexpected credit market news shock exhibiting different impacts in an optimistic and pessimistic credit market environment. While an unexpected movement in the optimistic regime leads to a rather low to muted impact on output and credit, we find a significant and persistent negative impact on those variables in the pessimistic regime. Therefore, this article departs from the current literature on the role of financial frictions for explaining business cycle behavior in macroeconomics and argues in line with recent theoretical contributions on the relevance of expectation formation and beliefs as source of cyclicity and instability in financial markets. / Series: Department of Economics Working Paper Series

Este trabalho tem objetivo de estudar os ciclos de crédito em cinco países da América Latina – Brasil, Chile, Colômbia, México e Peru - usando modelos com mudança de regime markoviano univariados e multivariados. Alguns dos modelos são capazes de captar períodos de crises bancárias nos países individualmente datados em Laeven e Valencia (2008, 2012) e Reinhart e Rogoff (2008), enquanto o modelo multivariado capta uma dinâmica comum nos países estudados. O ciclo que o modelo multivariado revela está de acordo com conhecidos períodos de expansão e contração da taxa de crescimento do crédito real ao setor privado conhecidos na literatura, em especial o boom da primeira metade da década de 1990 e sua desaceleração subseqüente. / This paper aims to study credit cycles in five Latin American countries in a Markov Switching Approach with univariate and multivariate models. The univariate models, for some countries, identified periods of banking crises dated in Laeven and Valencia (2008; 2012) and Reinhart and Rogoff (2008) while the multivariate model captured a common dynamic in those countries studied. The cycle revealed with this model is in accordance with known periods of expansion and contraction of the growth rate credit in Latin America, in special the early 1990’s boom and it’s subsequent slowdown.

Este trabalho tem objetivo de estudar os ciclos de crédito em cinco países da América Latina – Brasil, Chile, Colômbia, México e Peru - usando modelos com mudança de regime markoviano univariados e multivariados. Alguns dos modelos são capazes de captar períodos de crises bancárias nos países individualmente datados em Laeven e Valencia (2008, 2012) e Reinhart e Rogoff (2008), enquanto o modelo multivariado capta uma dinâmica comum nos países estudados. O ciclo que o modelo multivariado revela está de acordo com conhecidos períodos de expansão e contração da taxa de crescimento do crédito real ao setor privado conhecidos na literatura, em especial o boom da primeira metade da década de 1990 e sua desaceleração subseqüente. / This paper aims to study credit cycles in five Latin American countries in a Markov Switching Approach with univariate and multivariate models. The univariate models, for some countries, identified periods of banking crises dated in Laeven and Valencia (2008; 2012) and Reinhart and Rogoff (2008) while the multivariate model captured a common dynamic in those countries studied. The cycle revealed with this model is in accordance with known periods of expansion and contraction of the growth rate credit in Latin America, in special the early 1990’s boom and it’s subsequent slowdown.

Este trabalho tem objetivo de estudar os ciclos de crédito em cinco países da América Latina – Brasil, Chile, Colômbia, México e Peru - usando modelos com mudança de regime markoviano univariados e multivariados. Alguns dos modelos são capazes de captar períodos de crises bancárias nos países individualmente datados em Laeven e Valencia (2008, 2012) e Reinhart e Rogoff (2008), enquanto o modelo multivariado capta uma dinâmica comum nos países estudados. O ciclo que o modelo multivariado revela está de acordo com conhecidos períodos de expansão e contração da taxa de crescimento do crédito real ao setor privado conhecidos na literatura, em especial o boom da primeira metade da década de 1990 e sua desaceleração subseqüente. / This paper aims to study credit cycles in five Latin American countries in a Markov Switching Approach with univariate and multivariate models. The univariate models, for some countries, identified periods of banking crises dated in Laeven and Valencia (2008; 2012) and Reinhart and Rogoff (2008) while the multivariate model captured a common dynamic in those countries studied. The cycle revealed with this model is in accordance with known periods of expansion and contraction of the growth rate credit in Latin America, in special the early 1990’s boom and it’s subsequent slowdown.

We augment a model of endogenous credit cycles by Matsuyama et al.(2016) with human capital to study the impact of human capital on the stability of central economic aggregates. Thus we offer a linkage between human capital formation and credit market instability on a macrolevel combined with an analysis of functional income distribution. Human capital is modelled as pure external effect of production following a learning-by-producing approach. Agents have access to two different investment projects, which differ substantially in their next generations spillover effects. Some generate pecuniary externalities and technological spillovers through human capital formation whereas others fail to do so and are subject to financial frictions. Due to this endogenous credit cycles occur and a pattern of boom and bust cycles can be observed. We explore the impact of human capital on the stability of the system by numerical simulations which indicate that human capital has an ambiguous effect on the evolution of the output. Depending on the strength of the financial friction and the output share of human capital it either amplifies or mitigates output fluctuations. This analysis shows that human capital is an essential factor for economic stability and sustainable growth as a high human capital share tends to make the system's stability robust against shocks. / Series: Department of Economics Working Paper Series

Este trabajo de investigación se busca estimar el impacto que tiene el precio del cobre sobre la dinámica de los créditos al sector privado en la economía peruana. La literatura nos muestra que el crecimiento del crédito desmesurado puede debilitar el sistema financiero en una economía y más aún si esta depende de la exportación de commodities. El efecto de los denominados booms de commodities suelen llevar a incrementos atípicos en el crédito otorgado al sector privado. Este comportamiento a largo y mediano plazo puede conducir a crisis financieras. Para el caso del Perú, no solo se sigue el modelo primario exportador, sino que también se ha registrado en su economía un crecimiento persistente en los créditos otorgados al sector privado a lo largo de casi 20 años. Sumado a esto, la incertidumbre provocada por la guerra comercial EE. UU y China ha impactado en los precios de los commodities y la balanza comercial peruana ya que ha disminuido la demanda de cobre, la exportación principal del Perú, del gigante asiático, su mayor comerciante. Cabe resaltar que en este trabajo no se está tomando en consideración los posibles efectos de la actual crisis sanitaria causada por el SARS-CoV-2 (COVID-19). Dada la literatura sobre los orígenes de las crisis financieras y la coyuntura actual del Perú, se analizará el comportamiento del precio del cobre, commodity principal exportado del país, y su relación a largo plazo con el crédito total privado peruano. El periodo de análisis escogido es desde el 2004 hasta el primer trimestre del 2020 debido a que a partir de ese periodo es que el crédito demuestra un crecimiento inusual que se ha mantenido hasta la fecha. / This paper seeks to estimate the impact that the Price of the cooper has on the private credit Dynamic for the peruvian economy. Literature shows that excessive growth of private credit could have a negative effect on the financial system and it could be even worse if said economy is commodity dependent. The effect of the so called commodity boom usually leads to an unsual increase on the private credit. In the long run, if such behavior persists, it could end up in a financial crisis. For the peruvian case, not only are its economy commodity dependant but his economy has registered a persistent growth of the credit provided to the private sector for almost 20 years. Moreover, the uncertainty caused by the trade war between USA and China has impacted the prices of some of the most important commodities to Peru and therefore had negative implications on their comercial balance. Copper demand from China has decreased, copper been the main commodity exported by Perú and China its bigger partner. It should be noticed that this paper will not take in consideration the possible effects of the SARS-CoV-2 (COVID-19). By taking in consideration the literature about financial crisis and given the peruvian economic enviroment, in this work we will focus on analysing the intenational prices of cooper, main commodity exported by Peru, and it’s relationship with the private credit. Our time period will be from 2004 to the first quarter of 2020. / Trabajo de investigación

Submitted by Daniel Nobre Martins Pinheiro (dnobre.mp@hotmail.com) on 2018-10-23T14:04:33Z No. of bitstreams: 1 Dissert_DNobre(4-22).pdf: 838987 bytes, checksum: 3287880a5e85dcca4b0ed229a3cd6769 (MD5) / Approved for entry into archive by Thais Oliveira (thais.oliveira@fgv.br) on 2018-10-23T16:27:56Z (GMT) No. of bitstreams: 1 Dissert_DNobre(4-22).pdf: 838987 bytes, checksum: 3287880a5e85dcca4b0ed229a3cd6769 (MD5) / Approved for entry into archive by Suzane Guimarães (suzane.guimaraes@fgv.br) on 2018-10-23T16:58:56Z (GMT) No. of bitstreams: 1 Dissert_DNobre(4-22).pdf: 838987 bytes, checksum: 3287880a5e85dcca4b0ed229a3cd6769 (MD5) / Made available in DSpace on 2018-10-23T16:58:56Z (GMT). No. of bitstreams: 1 Dissert_DNobre(4-22).pdf: 838987 bytes, checksum: 3287880a5e85dcca4b0ed229a3cd6769 (MD5) Previous issue date: 2018-08-31 / O presente trabalho analisa a influência do crédito ao setor privado no ciclo de crédito experimentado pela economia brasileira entre 2003 e 2017. A motivação advém das mais recentes contribuições teóricas e empíricas publicadas após a crise financeira global sobre o papel dos aceleradores financeiros e mecanismos de transmissão em gerar fragilidades financeiras de caráter sistêmico. Conclusões em Adrian e Shin (2010) serão o ponto de partida, onde fatores que impactam o capital de intermediários financeiros operam como importantes canais de propagação de choques. A forte expansão do setor financeiro naquele período, junto a um crescimento sem precedentes do endividamento do setor privado, provém um cenário propício para testar este insight. Um modelo de Vetor de Correção de Erros (VECM) será estimado para identificar tendências comuns entre variáveis reais e financeiras, assim como identificar impactos decorrentes de choques e causalidade entre variáveis associadas a crédito, alavancagem, atividade, colaterais e oferta de fundos. Desta forma, a pesquisa espera contribuir à compressão daquele episódio, assim preenchendo um vácuo no debate polarizado entre aqueles que vêm o país como vítima de condições internacionais adversas, e outros que responsabilizam uma longa história de políticas econômicas equivocadas pela crise. / This monograph evaluates the role played by the credit to the private sector on the boom-bust cycle experienced by the Brazilian economy between 2003-2017. The study is motivated by recent theoretical and empirical contributions arriving after the Global Financial Crisis on the role played by financial accelerators and transmission channels in driving systemic financial fragility. It departs from a key insight from Adrian and Shin (2010) where factors affecting the equity base of financial intermediaries operate as a powerful transmission channel for shocks. The strong expansion of the financial activities during the period, coupled with the unprecedent growth of debt and leverage of the non-financial private sector, provide a promising scenario to test that insight. A Vector Error Correction Model (VECM) will be applied to identify common trends on financial and real variables to help to identify effects from shocks and causalities comprising variables related to debt, leverage, activity, collaterals, and funds supply. Thus, it aims at shedding new lights on the comprehension of that episode, so filling a gap on this debate polarized between those who see Brazil as a victim of a stressed global economy, and others who blame a long account of derailing economic policies in driving this fate.

Submitted by Murilo Resende Ferreira (muriloresende82@gmail.com) on 2014-10-28T15:22:42Z No. of bitstreams: 1 Tesedoutoradomuriloresende.PDF: 806113 bytes, checksum: e6d9cfcc660128de80d20f44f9c5213e (MD5) / Approved for entry into archive by BRUNA BARROS (bruna.barros@fgv.br) on 2014-11-10T11:34:49Z (GMT) No. of bitstreams: 1 Tesedoutoradomuriloresende.PDF: 806113 bytes, checksum: e6d9cfcc660128de80d20f44f9c5213e (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2014-11-13T13:40:01Z (GMT) No. of bitstreams: 1 Tesedoutoradomuriloresende.PDF: 806113 bytes, checksum: e6d9cfcc660128de80d20f44f9c5213e (MD5) / Made available in DSpace on 2014-11-13T13:40:15Z (GMT). No. of bitstreams: 1 Tesedoutoradomuriloresende.PDF: 806113 bytes, checksum: e6d9cfcc660128de80d20f44f9c5213e (MD5) Previous issue date: 2014-06-27 / This thesis contains two chapters, each one dealing with banking theory and the history of financiai arrangements. In Chapter 1, we extend a Diamond and Dybvig economy with imperfect monitoring of early withdrawals and make a welfare comparison between all possible allocations, as proposed by Prescott and Weinberg(2003) [37]. This imperfect monitoring is introduced by establishing indirect communication( trough a mean of payment) between the agents and the machine that is an aggregate of the financiai and the productive sector. The extension consists in studying allocations where a fraction of the agents can exploit imperfect monitoring and defraud the contracted arrangement by consuming more in the early period trough multiple means of payment. With limited punishment in the period of late consumption, this new allocation is called a separating allocation in contrast with pooling allocations where the agent with the ability of fraud is blocked from it by a costly mean of payment or by receiving enough future consumption to make fraud unattractive. The welfare comparison in the chosen range of parameters show that separating allocations are optimal for poor economies and pooling allocations for intermediary and rich ones. We end with a possible historical context for this kind of model, which connects with the historical narrative in chapter 2. In Chapter 2 we explore the quantitative properties of an early warning system for financiai crises based on the boom and bust framework described in more detail in appendix 1. The main variables are: real growth in equity and housing prices, the yield spread between the 10-year government bond and the 3-month interbank rate and the growth in total banking system assets. These variables display a higher degree of correct signals for recent crises (1984-2008) than comparable early warning systerns. Taking into account an increasing base-line risk ( due to increasing rates of credit expansion , lower interest rates and the accumulation of distortions) also proves to be informative and to help signaling crises in countries that did not go trough a great boom in previous years. / Esta tese contém dois capítulos, cada um lidando com a teoria e a história dos bancos e arranjos financeiros. No capítulo 1, busca-se extender uma economia Diamond-Dybvig com monitoramento imperfeito dos saques antecipados e realizar uma comparação do bem estar social em cada uma das alocações possíveis, como proposto em Presscott and Weinberg(2003). Esse monitoramento imperfeito é implementado a partir da comunicação indireta ( através de um meio de pagamento) entre os agentes e a máquina de depósitos e saques que é um agregado do setor produtivo e financeiro. A extensão consiste em estudar alocações onde uma fração dos agentes pode explorar o monitoramento imperfeito e fraudar a alocação contratada ao consumirem mais cedo além do limite, usando múltiplos meios de pagamento. Com a punição limitada no período de consumo tardio, essa nova alocação pode ser chamada de uma alocação separadora em contraste com as alocações agregadoras onde o agente com habilidade de fraudar é bloqueado por um meio de pagamento imune a fraude, mas custoso, ou por receber consumo futuro suficiente para tornar a fraude desinteressante. A comparação de bem estar na gama de parâmetros escolhida mostra que as alocações separadoras são ótimas para as economias com menor dotação e as agregadoras para as de nível intermediário e as ricas. O capítulo termina com um possível contexto histórico para o modelo, o qual se conecta com a narrativa histórica encontrada no capítulo 2. No capítulo 2 são exploradas as propriedade quantitativas de um sistema de previsão antecedente para crises financeiras, com as váriaveis sendo escolhidas a partir de um arcabouço de ``boom and bust'' descrito mais detalhadamente no apêndice 1. As principais variáveis são: o crescimento real nos preços de imóveis e ações, o diferencial entre os juros dos títulos governamentais de 10 anos e a taxa de 3 meses no mercado inter-bancário e o crescimento nos ativos totais do setor bancário. Essas variáveis produzem uma taxa mais elevada de sinais corretos para as crises bancárias recentes (1984-2008) do que os sistemas de indicadores antecedentes comparáveis. Levar em conta um risco de base crescente ( devido à tendência de acumulação de distorções no sistema de preços relativos em expansões anteriores) também provê informação e eleva o número de sinais corretos em países que não passaram por uma expansão creditícia e nos preços de ativos tão vigorosa.