Submitted by Rafael Burjack Farias Duarte (burjack86@gmail.com) on 2016-04-08T00:01:56Z No. of bitstreams: 1 Final_bib.pdf: 5471404 bytes, checksum: 29bf9321d29ec324d42b89681de3eb28 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2016-06-02T16:47:53Z (GMT) No. of bitstreams: 1 Final_bib.pdf: 5471404 bytes, checksum: 29bf9321d29ec324d42b89681de3eb28 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2016-06-13T18:12:59Z (GMT) No. of bitstreams: 1 Final_bib.pdf: 5471404 bytes, checksum: 29bf9321d29ec324d42b89681de3eb28 (MD5) / Made available in DSpace on 2016-06-13T18:13:41Z (GMT). No. of bitstreams: 1 Final_bib.pdf: 5471404 bytes, checksum: 29bf9321d29ec324d42b89681de3eb28 (MD5) Previous issue date: 2015-11-27 / Using a unique dataset on Brazilian nominal and real yield curves combined with daily survey forecasts of macroeconomic variables such as GDP growth, inflation, and exchange rate movements, we identify the effect of surprises to the Brazilian interbank target rate on expected future nominal and real short rates, term premia, and inflation expectations. We find that positive surprises to target rates lead to higher expected nominal and real interest rates and reduced nominal and inflation term premia. We also find a strongly positive relation between both real and nominal term premia and measures of dispersion in survey forecasts. Uncertainty about future exchange rates is a particularly important driver of variations in Brazilian term premia.

Submitted by Fernando Junqueira de Assis Buratto (fernandojab@gmail.com) on 2017-09-18T15:06:20Z No. of bitstreams: 1 Dissertação_Versao_Final - Fernando Buratto.pdf: 2220875 bytes, checksum: aaaf1960784be71ac2001853d43ad4ac (MD5) / Rejected by Thais Oliveira (thais.oliveira@fgv.br), reason: Prezado Fernando, boa tarde. Para que possamos aprovar o seu trabalho, serão necessárias duas alterações: -Retirar o nome da Escola na contracapa (deixar somente na capa); -Corrigir a Ficha Catalográfica. Qualquer dúvida entre em contato pelo e-mail no mestradoprofissional@fgv.br ou ligue 3799-7764 Att, Thais Oliveira on 2017-09-18T18:22:39Z (GMT) / Submitted by Fernando Junqueira de Assis Buratto (fernandojab@gmail.com) on 2017-09-19T21:20:31Z No. of bitstreams: 1 Dissertação_Versao_Final - Fernando Buratto.pdf: 2219820 bytes, checksum: acf215f88771a0bc8605acb79234006c (MD5) / Approved for entry into archive by Thais Oliveira (thais.oliveira@fgv.br) on 2017-09-19T21:50:03Z (GMT) No. of bitstreams: 1 Dissertação_Versao_Final - Fernando Buratto.pdf: 2219820 bytes, checksum: acf215f88771a0bc8605acb79234006c (MD5) / Made available in DSpace on 2017-09-20T12:49:58Z (GMT). No. of bitstreams: 1 Dissertação_Versao_Final - Fernando Buratto.pdf: 2219820 bytes, checksum: acf215f88771a0bc8605acb79234006c (MD5) Previous issue date: 2017-08-22 / This paper intends to build a historical series for the risk premium of the Brazilian interest market and to develop a model that is capable of explaining it. This series construction will be based on the studies of Wright (2011) and Crump (2016), both of which use researches on the economic agents’ expectations for the main macroeconomic variables in the estimative of the risk premium of the interest market of other countries. After analyzing these studies, explanation models for the difference of the risk premium in the Brazilian interest market were estimated with weekly and monthly frequencies for several maturities of the interest curve. The results of these estimates have showed coefficients of determination varying from 15% to 59% and also indicate that rises in the risk premium of the Brazilian interest market are related to increases in the risk premium and in the expectation of interest in the US market, increases in the brazilian 5 years Credit Default Swap, depreciations in the real exchange rate per US dollar, increases in the volatility of inflation expectations and increases in the implied volatility of the interest rate and foreign exchange market. In addition, it is presented that the type of monetary cycle (rising or falling current interest) also influences the risk premium. / Este trabalho propõe construir uma série histórica para o prêmio de risco do mercado de juros brasileiro e desenvolver um modelo capaz de explicá-lo. A construção dessa série será baseada nos estudos de Wright (2011) e Crump (2016), que utilizam pesquisas sobre as expectativas dos agentes econômicos para as principais variáveis macroeconômicas na estimação do prêmio de risco do mercado de juros de outros países. Após a análise desses estudos, foram estimados modelos de explicação para a diferença do prêmio de risco no mercado de juros brasileiro, em diferença com frequências semanais e mensais para diversas maturidades da curva de juros. Os resultados dessas estimações mostraram coeficientes de explicação ou determinação que variam de 15% a 59% e apontam que elevações no prêmio de risco do mercado de juros brasileiro se relacionam com aumentos no prêmio de risco e na expectativa de juros do mercado norte-americano, aumentos de 5 anos no Credit Default Swap brasileiro, depreciações na taxa de câmbio pronto real por dólar americano, elevações da volatilidade da expectativa de inflação e aumentos na volatilidade implícita do mercado de opções de juros e câmbio. Além disso, apresenta-se que o tipo de ciclo monetário (juros correntes em queda ou alta) também influencia o prêmio de risco.

The focus of this study is to map, classify and analyse how different risk premia strategies that are fully implementable, perform and are affected by different economic environments. The results are of interest for practitioners who currently invest in or are thinking about investing in risk premia strategies. The study also makes a theoretical contribution since there currently is a lack of publicised work on this subject. A combination of the statistical methods cluster tree, spanning tree and principal component analysis are used to first categorise the investigated risk premia strategies into different clusters based on their correlation characteristics and secondly to find the strategies’ most important return drivers. Lastly, an analysis of how the clusters of strategies perform in different macroeconomic environments, here represented by inflation and growth, is conducted. The results show that the three most important drivers for the investigated risk premia strategies are a crisis factor, an equity directional factor and an interest rate factor. These three components explained about 18 percent, 14 percent and 10 percent of the variation in the data, respectively. The results also show that all four clusters, despite containing different types of risk premia strategies, experienced positive total returns during all macroeconomic phases sampled in this study. These results can be seen as indicative of a lower macroeconomic sensitivity among the risk premia strategies and more of an “alpha-like” behaviour. / Denna studie fokuserar på att kartlägga, klassificera och analysera hur riskpremie-strategier, som är fullt implementerbara, presterar och påverkas av olika makroekonomiska miljöer. Studiens resultat är av intresse för investerare som antingen redan investerar i riskpremiestrategier eller som funderar på att investera. Studien lämnar även ett teoretiskt bidrag eftersom det i dagsläget finns få publicerade verk som behandlar detta ämne. För att analysera strategierna har en kombination av de statistiska metoderna cluster tree, spanning  tree  och  principal  component  analysis  använts.  Detta  för  att  dels  kategorisera riskpremie-strategierna i olika kluster, baserat på deras inbördes korrelation, men också för att finna de faktorer som driver riskpremiestrategiernas avkastning. Slutligen har också en analys över hur de olika strategierna presterar under olika makroekonomiska miljöer genomförts där de makroekonomiska miljöerna representeras av inflation- och tillväxtindikatorer. Resultaten  visar  att  de  tre  viktigaste  faktorerna  som  driver  riskpremiestrategiernas avkastning  är  en  krisfaktor,  en  aktiemarknadsfaktor och  en  räntefaktor.  Dessa  tre  faktorer förklarar ungefär 18 procent, 14 procent och 10 procent av den undersökta datans totala varians. Resultaten  visar  också  att  alla  fyra  kluster,  trots  att  de  innehåller  olika  typer  av riskpremiestrategier,  genererade  positiv  avkastning  under  alla  makroekonmiska  faser  som studerades. Detta resultat ses som ett tecken på en lägre makroekonomisk känslighet bland riskpremiestrategier och mer av ett alfabeteende.

CAT-Bonds und Wetterderivate sind die Endprodukte eines Verbriefungprozesses, der nicht handelbare Risikofaktoren (Wetterschäden oder Naturkatastrophenschäden) in handelbare Finanzanlagen verwandelt. Als Ergebnis sind die Märkte für diese Produkte in der Regel unvollständig. Da geeignete Risikomaße in Bezug auf einen bestimmten Preis Voraussetzung sind zur Preisbestimmung, ist es notwendig den Marktpreis des Risikos (MPR), welcher ein wichtiger Parameter des zugehörigen äquivalenten Martingalmaß ist, zu berücksichtigen. Die Mehrheit der bisherigen Veröffentlichungen haben die Preise der nicht handelbaren Vermögenswerte mittels der Annahme geschätzt, dass der MPR gleich null ist. Diese Annahme verzerrt allerdings die Preise und wurde bisher noch nicht quantifiziert. Diese Doktorarbeit beschäftigt sich mit den Unterschieden zwischen dem historischen und dem risikoneutralen Verhalten der nicht handelbaren Basiswerte und gibt Einblicke in den Marktpreis für Wetterrisiko und die Wetterrisikoprämie. Diese Arbeit beginnt mit einer Darstellung der Instrumente zur Übertragung der Risiken, gefolgt von den finanziellen - statistischen Verfahren und endet mit einer Untersuchung reeller Daten, wobei der Schwerpunkt auf die implizierten Trigger-Intensitätsraten eines parametrischen CAT-Bond für Erdbeben und auf den MPR der Temperatur Derivate gelegt wird. / CAT bonds and weather derivatives are end-products of a process known as securitization that transform non-tradable (natural catastrophes or weather related) risk factors into tradable financial assets. As a result the markets for such products are typically incomplete. Since appropiate measures of the risk associated to a particular price become necessary for pricing, one essentially needs to incorporate the market price of risk (MPR), which is an important parameter of the associated equivalent martingale measure. The majority of papers so far has priced non-tradable assets assuming zero MPR, but this assumption yields biased prices and has never been quantified earlier. This thesis deals with the differences between historical and risk neutral behaviors of the non-tradable underlyings and gives insights into the behaviour of the market price of weather risk and weather risk premium. The thesis starts by introducing the risk transfering instruments, the financial - statistical techniques and ends up by examining the real data applications with particular focus on the implied trigger intensity rates of a parametric CAT bond for earthquakes and the MPR of temperature derivatives.

This collection of essays examines the topic of macroeconomic stabilisation in an international context, focusing on monetary policy, capital controls and exchange rates. Chapter 1, written in collaboration with Giancarlo Corsetti and Joao Duarte, reconsiders the effects of common monetary policy shocks across countries in the euro area, using a data-rich factor model and identifying shocks with high-frequency surprises around policy announcements. We show that the degree of heterogeneity in the response to shocks, while being low in financial variables and output, is significant in consumption, consumer prices and macro variables related to the labour and housing markets. Mirroring country-specific institutional and market differences, we find that home ownership rates are significantly correlated with the strength of the housing channel in monetary policy transmission. We document a high dispersion in the response to shocks of house prices and rents and show that, similar to responses in the US, these variables tend to move in different directions. In Chapter 2, I build a two-country, two-good model to examine the welfare effects of capital controls, finding that under certain circumstances, a shut-down in asset trade can be a Pareto improvement. Further, I examine the robustness of the result to parameter changes, explore a wider set of policy instruments and confront computational issues in this class of international macroeconomic models. I document that within an empirically relevant parameter span for the trade elasticity, the gains from capital controls might be significantly larger than suggested by previous contributions. Moreover, I establish that a refined form of capital controls in the shape of taxes and tariffs cannot improve upon the outcome under financial autarky. Finally, results show that the conjunction of pruning methods and endogenous discount factors can remove explosive behaviour from this class of models and restore equilibrating properties. In Chapter 3, I use a panel of 20 emerging market currencies to assess whether a model that combines fundamental and non-fundamental exchange rate forecasting approaches can successfully predict risk premia (i.e. currency excess returns) over the short horizon. In doing so, I aim to overcome three main shortcomings of earlier research: i) Sensitivity to the chosen sample period; ii) seemingly arbitrary selection of explanatory variables that differs from currency to currency; and iii) difficulty in interpreting forecasts beyond the numerical signal. Based on a theoretical model of currency risk premia, I use real exchange rate strength combined with indicators for carry, momentum and economic sentiment to homogeneously forecast risk premia across all 20 currencies in the sample at a monthly frequency. In doing so, the model remains largely agnostic about structural choices, keeping arbitrarily imposed restrictions to a minimum. Results from portfolio construction suggest that returns are significant and robust both across currencies as well as over time, with Sharpe Ratios in out-of-sample tests above 0.7.

Cette thèse se compose de trois essais empiriques qui étudient l'impact de la responsabilité sociale des entreprises (RSE) dans les opérations de fusions et acquisitions (F&A). Le premier chapitre traite de la relation entre la performance RSE des firmes et leur propension à faire l'objet d'offres de rachats. Nous constatons que la performance RSE des firmes est positivement liée à la probabilité qu'elles ont d'être ciblées dans le cadre d'opérations de F&A, et que la performance RSE des firmes ciblées est supérieure en moyenne à celle d'entreprises similaires mais non-ciblées. Dans le deuxième essai, nous nous intéressons à la relation entre la performance RSE des firmes ciblées dans le cadre d'opérations de F&A et la prime d’acquisition offerte par les acquéreurs. Nous constatons que la performance RSE des firmes ciblées est positivement liée à la prime d'acquisition offerte. Nous constatons que la prime d'acquisition est en partie expliquée par la performance environnementale et la performance sociale, mais que la performance sociale n’a d’impact que dans le cadre des opérations transfrontalières. Enfin, dans le troisième essai, nous analysons l'impact de la performance RSE des acquéreurs sur l'incertitude entourant les opérations de F&A. Nous trouvons une relation négative entre la performance RSE des acquéreurs et le spread d'arbitrage, suggérant que les opérations de F&A menées par des acquéreurs à forte performance RSE sont perçues comme ayant une probabilité accrue de réussite. Globalement, nos résultats suggèrent que la performance RSE détermine de manière statistiquement significative les décisions de F&A et leurs perceptions par les acteurs de marché. / This thesis consists of three empirical essays investigating the impact of corporate social responsibility (CSR) on mergers and acquisitions (M&A). In the first essay, we investigate whether the CSR performance of firms impacts their propensity to become M&A targets. We find that the CSR performance of firms is positively related to takeover likelihood. We also show that the CSR performance of target firms is higher on average than the CSR performance of comparable non-target firms. In the second essay, we study the relationship between M&A targets’ CSR performance and the acquisition premium offered by acquirers. We show that CSR is positively and significantly associated with the premium offered by acquirers. We also find that the premium is explained by the environmental and social performances of firms but that social performance only commands a premium in the case of cross-border transactions. Finally, in the third essay, we analyze the impact of acquirers' CSR performance on M&A deal uncertainty. We document a negative association between arbitrage spreads and acquirers' CSR performance, showing that deal uncertainty decreases when M&A operations are initiated by high-CSR acquirers. Overall, our results suggest that CSR performance is a significant determinant of M&A decisions and expected outcomes.

This doctoral thesis is a collection of four papers on the analysis of the term structure of interest rates with a focus at the intersection of macroeconomics and finance. "Risk in Macroeconomic Fundamentals and Bond Return Predictability" documents that factors related to risks underlying the macroeconomy such as expectations, uncertainty and downside (upside) macroeconomic risks are able to explain variation in bond risk premia. The information provided is found to be, to a large extent, unrelated to that contained in forward rates and current macroeconomic conditions. "Out-of-sample bond excess returns predictability" provides evidence that macroeconomic variables, risks in macroeconomic outcomes as well as the combination of these different sources of information are able to generate statistical as well as economic bond excess returns predictability in an out-of-sample setting. Results suggest that this finding is not driven by revisions in macroeconomic data. The term spread (yield curve slope) is largely used as an indicator of future economic activity. "Re-examining the predictive power of the yield curve with quantile regression" provides new evidence on the predictive ability of the term spread by studying the whole conditional distribution of GDP growth. "Modeling and forecasting the yield curve by extended Nelson-Siegel class of models: a quantile regression approach" deals with yield curve prediction. More flexible Nelson-Siegel models are found to provide better fitting to the data, even when penalizing for additional model complexity. For the forecasting exercise, quantile-based models are found to overcome all competitors. / <p>Diss. Stockholm :  Stockholm School of Economics, 2014. Introduction together with 4 papers.</p>

The aim of this thesis is to model the dynamics of international term structure of interest rates taking into consideration several dependence channels.Thanks to a new international Treasury yield curve database, we observe that the explained variability decision criterion, suggested by the literature, is not able to select the best combination of factors characterizing the joint dynamics of yield curves. We propose a new methodology based on the maximisation of the likelihood function of a Gaussian state-space model with common and local factors. The associated identification problem is solved in an innovative way. By estimating several sets of countries, we select two global (and three local) factors which are also useful to forecast macroeconomic variables in each considered economy.In addition, our method allows us to detect hidden factors in the international bond returns. They are not visible through a classical principal component analysis of expected bond returns but they are helpful to forecast inflation and industrial production. Keywords: International treasury yield curves, common and local factors, state-space models, EM algorithm, International bond risk premia, principal components.

Over the last decades, Mergers and Acquisitions (M&A) have become key strategic alternatives to organic growth, enabling firms to expand in new geographies, broaden their product or service portfolios, increase their market power or diversify their business activities, for instance. Historically, although M&A deals have occurred in cyclical patterns, the number of transactions as well the total amount invested have followed an increasing trend. For instance, in 2021, the number of M&A deals conducted worldwide even peaked at an absolute record of 63,215 deals, for a total amount of $5,800 billion, comparable to the annual GDP of a country like Japan. Although the literature on M&A is vast and multi-disciplinarian, the performance of such transactions as well as their influencing factors have remained debated issues. This paper-based dissertation investigates the implications of corporate social responsibility (CSR) on financial markets’ anticipations in the context of M&A announcements. The first manuscript (Manuscript A) corresponds to a literature review on the determinants to financial markets’ reactions around M&A announcements. The second manuscript (Manuscript B) investigates the impact of both acquirers- and targets’ CSR engagements as well as their CSR profiles distance on synergetic gains anticipated by financial markets around M&A announcements. The third manuscript (Manuscript C) focuses on the impact of acquiring firms’ CSR engagement on the accuracy of financial markets’ anticipations with regards to the long-term operating performance of M&A deals. The fourth manuscript (Manuscript D) analyses whether acquirers’ CSR performance impacts M&A premia, since the premia offered to target shareholders contain acquiring managements’ anticipations regarding potential synergetic gains and are by the way critical to the deals’ value creation processes.

Cette thèse concerne la modélisation de la dynamique des courbes des taux internationales avec prise en compte de plusieurs canaux de dépendance. A l’aide d’une nouvelle base de données des taux souverains internationaux, nous observons que le critère de la variabilité expliquée, proposé par la littérature, n’est pas capable de sélectionner une meilleure combinaison des facteurs décrivant la dynamique jointe des courbes des taux. Nous proposons une méthode nouvelle de section des facteurs fondée sur la maximisation de vraisemblance d’un modèle espace-état linéaire gaussien avec facteurs communs et locaux. Le problème d’identification associée est résolu d’une façon novatrice. En estimant différents combinaisons de pays, nous sélectionnons des deux facteurs globaux et trois locaux ayant un pouvoir prédictif des variables macro-économiques (activité économique et taux d’inflation) dans chaque économie considérée. Notre méthode nous permet aussi de détecter des facteurs cachés dans les rendements obligataires. Ils ne sont pas visibles à travers une analyse classique en composant principales des rendements obligataires et ils contribuent à la prévision du taux d’inflation et du taux de croissance de la production industrielle. / The aim of this thesis is to model the dynamics of international term structure of interest rates taking into consideration several dependence channels.Thanks to a new international Treasury yield curve database, we observe that the explained variability decision criterion, suggested by the literature, is not able to select the best combination of factors characterizing the joint dynamics of yield curves. We propose a new methodology based on the maximisation of the likelihood function of a Gaussian state-space model with common and local factors. The associated identification problem is solved in an innovative way. By estimating several sets of countries, we select two global (and three local) factors which are also useful to forecast macroeconomic variables in each considered economy.In addition, our method allows us to detect hidden factors in the international bond returns. They are not visible through a classical principal component analysis of expected bond returns but they are helpful to forecast inflation and industrial production. Keywords: International treasury yield curves, common and local factors, state-space models, EM algorithm, International bond risk premia, principal components.