Working Papers
URI permanente desta comunidadehttps://repositorio.insper.edu.br/handle/11224/3232
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Working Paper A macro-financial analysis of the corporate bond market(2018) Dewachter, Hans; Iania, Leonardo; Lemke, Wolfgang; Lyrio, Marco Túlio PereiraWe assess the contribution of economic and Önancial factors in the determination of euro area corporate bond spreads over the period 2001-2015. The proposed multi-market, no arbitrage a¢ ne term structure model is based on the methodology proposed by Dewachter, Iania, Lyrio, and Perea (2015). We model jointly the ërisk-free curveí, measured by overnight index swap (OIS) rates, and the corporate yield curves for two rating classes (A and BBB). The model includes four spanned and six unspanned factors. We Önd that, in general, both economic (real activity and ináation) and Önancial factors (proxying risk aversion, áight to liquidity and general Önancial market stress) play a signiÖcant role in the determination of the spanned factors and hence in the dynamics of the risk-free yield curve and corporate bond spreads. Across the risk-free OIS curve, macroeconomic and Önancial factors are each responsible on average for explaining 30 and 65 percent of yield varation, respectively. For A and BBB-rated corporate debt, the selected Önancial variables explain on average 50 percent of the variation in corporate spreads during the last decade.Working Paper Previsão dos preços de commodities por meio das taxas de câmbio(2013) Rosolen, Davi; Araujo, Michael Viriato; Lyrio, Marco Túlio PereiraEsse trabalho procura modelar e prever o comportamento dos preços de commodities utilizando taxas de câmbio de países exportadores de commodities. O entendimento do comportamento dos preços de commodities é importante para um apropriado controle da inflação e planejamento da produção. Os resultados obtidos apontam para uma relação de causalidade entre a taxa de câmbio e os preços de commodities para os países estudados, com exceção da África do Sul e Argentina. Para Austrália, Brasil, Canadá, Chile, Colômbia e Nova Zelândia, a taxa de câmbio se mostra uma informação significativa para previsões de preços de commodities para o período dentro da amostra. No caso da Austrália e do Canadá, a relação também é significativa para o período fora da amostra. Os resultados encontrados confirmam os obtidos por Chen, Rogoff e Rossi (2010), além de extender aquele trabalho aos casos da Argentina, do Brasil e da Colômbia.Working Paper Dynamic Forecasting Rules and the Complexity of Exchange Rate Dynamics(2011) Dewachter, Hans; Houssa, Romain; Lyrio, Marco Túlio Pereira; Kaltwasser, Pablo RoviraThis paper investigates the exchange rate dynamics implied by a heterogeneous agent model proposed in De Grauwe and Grimaldi (2006). The two groups of agents, chartists and fundamentalists, use simple forecasting rules and the ex post relative profitability to decide whether to switch to the other group. We extend this model by introducing a simple evolutionary selection mechanism which allows agents not only to switch between groups but also to adapt the forecasting rule of each group over time. This selection process naturally leads agents to choose forecasting rules over time which results in the convergence of the exchange rate to its fundamental value. However, our learning rule is not robust to the introduction of shocks to the fundamental. In particular, once we allow for random variation in the fundamental, the model exhibits again all of the nonlinear features discussed in De Grauwe and Grimaldi (2006): the disconnect puzzle, volatility clustering and fat tails.Working Paper A New-Keynesian Model of the Yield Curve with Learning Dynamics: A Bayesian Evaluation(2011) Dewachter, Hans; Iania, Leonardo; Lyrio, Marco Túlio PereiraWe estimate a New-Keynesian macro-finance model of the yield curve incorporating learning by private agents with respect to the long-run expectation of ináation and the equilibrium real interest rate. A preliminary analysis shows that some liquidity premia, expressed as a degree of mispricing relative to no-arbitrage restrictions, and time variation in the prices of risk are important features of the data. These features are, therefore, included in our learning model. The model is estimated on U.S. data using Bayesian techniques. The learning model succeeds in explaining the yield curve movements in terms of macroeconomic shocks. The results also show that the introduction of a learning dynamics is not sufficient to explain the rejection of the extended expectations hypothesis. The learning mechanism, however, reveals some interesting points. We observe an important diference between the estimated ináation target of the central bank and the perceived long-run ináation expectation of private agents, implying the latter were weakly anchored. This is especially the case for the period from mid-1970s to mid-1990s. The learning model also allows a new interpretation of the standard level, slope, and curvature factors based on macroeconomic variables. In line with standard macro-finance models, the slope and curvature factors are mainly driven by exogenous monetary policy shocks. Most of the variation in the level factor, however, is due to shocks to the output-neutral real rate, in contrast to the mentioned literature which attributes most of its variation to long-run ináation expectations.Working Paper Information in the Yield Curve: A Macro-Finance Approach(2011) Dewachter, Hans; Iania, Leonardo; Lyrio, Marco Túlio PereiraThis paper uses an affine term structure model that incorporates macroeconomic and financial factors to study the term premium in the U.S. bond market. The results corroborate the known rejection of the expectation hypothesis and indicate that one factor, closely related to the Cochrane and Piazzesi (2005) factor (the CP factor), is responsible for most of then variation in bond premia. Furthermore, the model-implied bond premia are able to explain around 32% and 40% of the variability of one- and two-year excess returns and their out-of-sample performance is comparable to the one obtained with the CP factor. The model is also used to decompose yield spreads into an expectations and a term premium componente in order to forecast GDP growth and ináation. Although this decomposition does not seem important to forecast GDP growth it is crucial to forecast ináation for most forecasting horizons. Also, the inclusion of control variables such as the short-term interest rate and lagged variables does not drive out the predictive power of the yield spread decomposition.