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Forecasting Reurns to Pure Factors: A Study of Time Varying Risk PremiaFamy, George 28 April 2006 (has links)
I find evidence of predictability in out-of-sample data for four risk premia using simple econometric models. Two factor return models are used, an APT model and the Wilshire Atlas. I demonstrate that investors can exploit conditioning information to manage their exposures to risk factors. The results suggest that the investment opportunities set changes in a large and an economically significant way. I show that the growth rate in money supply and trend in stock market valuations are the main drivers respectfully of the risk premia associated with the Book-to-Market and Size factors from the Wilshire model. The predictability results are mixed with respect to Business Cycle Theory. At times investors price business cycle risk while at other times they exhibit herding tendencies.
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The evolution of residential property price premia in a metropolis: Reconstitution or contamination?Huston, Simon Unknown Date (has links)
Residential property price premia (‘premia’) have long fascinated investors, particularly in times of euphoria, but their social, climatic and urban ramifications are much wider. A proper understanding of premia is hindered by the variety of exogenous influences determining them. They occur within idiosyncratic, complex, and continuously reconfiguring metropoli, conditioned by topography, history, regime, commerce, and culture. Given imperfectly competitive housing markets, conventional explanations for premia are either restricted to their financial dissection, trawl though metrics or cast around for hedonic coefficients. However, premia illuminate affordability and other problems in the broader planning and social debate. With the general significance of premia clarified, the research question of the project becomes: ‘What drives residential property price premium evolution in a metropolis?’ A complete answer involves dissecting the nature and establishing the location of putative premia and disentangling the influence and interactions of their various price drivers. To provide it, the project conducts a property and urban literature review. Based on theory’s insight that higher order contains lower order systems, it develops and investigates a general systems model of residential premia with two modes. The system is conditioned by ideology but forced by population and capital inflows. Within it, premia mutate, influenced by a nested hierarchy of more or less contaminated information. To investigate the model and its different modes, the project employs tests across system pointers, at the macro, meso (all urban) and micro spatial resolutions. First, the turbulence and permeability of residential property markets to exogenous influences is assessed. The project then looks at the urban mosaic in the growing Sunbelt migration city of Brisbane, Australia, over the boom period from 1998-2004. Locally, it conducts a case study and survey in one micro-location, seeking clues in transaction patterns (output), property system agents (components) and the information they use (feedback mechanisms). Finally, the project draws some relevant policy implications. Its key findings are that urban housing markets are open, complex and polarised. In an exuberant economic climate, migration and debt fuel metropolitan price escalation. Public urban initiatives reinforce central incumbent affluence or spark fresh bouts of speculation. Individual premia are heterogeneous but often feed off local construction projects or iconic refurbishment. Reflecting their demographics and motives, agent risk appetites are diverse although investors are usually less averse to renewal. System feedback involves a congruence of media and local activity signals. Neither local conviviality nor Bohemian influences are, by themselves, significant. Rather, buyer rationality is validated by post-purchase infrastructure completions. The thesis of this project is, hence, that in euphoric capital markets, migration and debt accelerates the endogenous mutation of property from homes within a community towards speculative paper assets. The implication is that the excessive proliferation of premia indicates economic imbalance and urban malaise which requires recognition and treatment. While premia are paid for perceived privilege or prospects, cognitive risk representations and expectations evolve. Sometimes judgment is contaminated by media fantasy but often validated by accommodating government policy and central revitalisation projects. Yet, within a wider social and ecological remit, rampant premia suggest flaws in urban strategy, governance and planning practice. In terms of windfall events or unearned rent, the cumulative effects of ill-considered projects and price distortions can be ugly and wasteful. They alienate and accentuate spatial privilege without generating sustainable jobs. The project has procedural and substantive policy implications. The dynamics of residential premia cannot be disentangled from capital market volatility, urban fragmentation and reconstitution. Enlightened property development requires visionary urban planning beyond electoral cycles. Rather than unregulated markets or disjointed incrementalism, the project points to the advantages of cohesive projects and inclusive hubs. It impels ecological and people-focused development to nurture capable, connected and considerate edge communities. Its first steps are theoretical recognition, policy clarification, government reform, market constraints, price and tax rationalisation and spatial transparency.
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Risk premia estimation in Brazil: wait until 2041 / Estimação de prêmios de risco no Brasil: aguarde até 2041Elias Cavalcante Filho 20 June 2016 (has links)
The estimation results of Brazilian risk premia are not robust in the literature. For instance, among the 133 market risk premium estimates reported on the literature, 41 are positives, 18 are negatives and the remainder are not significant. In this study, we investigate the grounds for this lack of consensus. First of all, we analyze the sensitivity of the US risk premia estimation to two relevant constraints present in the Brazilian market: the small number of assets (137 eligible stocks) and the short time-series sample available for estimation (14 years). We conclude that the second constrain, small T, has greater impact on the results. Following, we evaluate the two potential causes of problems for the risk premia estimation with small T: i) small sample bias on betas; ii) divergence between ex-post and ex-ante risk premia. Through Monte Carlo simulations, we conclude that for the T available for Brazil, the betas estimates are no longer a problem. However, it is necessary to wait until 2041 to be able to estimate ex-ante risk premia with Brazilian data. / Os resultados das estimações de prêmios de risco brasileiros não são robustos na literatura. Por exemplo, dentre 133 estimativas de prêmio de risco de mercado documentadas, 41 são positivas, 18 negativas e o restante não é significante. No presente trabalho, investigamos os motivos da falta de consenso. Primeiramente, analisamos a sensibilidade da estimação dos prêmios de risco norte-americanos a duas restrições presentes no mercado brasileiro: o baixo número de ativos (137 ações elegíveis) e a pequena quantidade de meses disponíveis para estimação (14 anos). Concluímos que a segunda restrição, T pequeno, tem maior impacto sobre os resultados. Em seguida, avaliamos as duas potenciais causas de problemas para a estimação de prêmios de risco em amostras com T pequeno: i) viés de pequenas amostras nas estimativas dos betas; e ii) divergência entre prêmio de risco ex-post e ex-ante. Através de exercícios de Monte Carlo, concluímos que para o T disponível no Brasil, a estimativa dos betas já não é mais um problema. No entanto, ainda precisamos esperar até 2041 para conseguirmos estimar corretamente os prêmios ex-ante com os dados brasileiros.
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Essays on currency premiaWang, Jingye 17 November 2022 (has links)
This thesis studies currency premia and their connections with macroeconomics.
In the first essay, I link currency premia to capital-output ratios and the well-known “Lucas Paradox”. The “Lucas Paradox” states that there are large and persistent differences in capital-output ratios across countries, suggesting capital is not flowing to countries where it is relatively scarce. In the data, capital-output ratios vary a lot cross-sectionally even within developed countries, and they are negatively correlated with currency risk premia and risk-free rates. To rationalize these patterns, I build a quantitative multi-country model of capital accumulation with external habit and heterogeneous exposures to a global productivity shock. I show that currency risk in this model generates cross-country variations in risk-free rates and capital-output ratios that are consistent with the data. I estimate the model using GDP data from countries issuing the G10 currencies and find two main results: (1) The heterogenous loadings that I extract from GDP data alone are highly correlated with capital-output ratios; and (2) when I feed the estimated loadings into the model, model-generated capital-output ratios account for roughly 55% of the cross-country variation in the data. I conclude that variation in currency risk and therefore currency risk premia have significant effects on the real economy.
In the second essay, I identify a quantitative puzzle when using canonical consumption-based asset pricing models to match currency premia under complete markets. Canonical long-run risk and habit models induce a strong, negative correlation between the variance and the mean of the log stochastic discount factor to address the well-known equity premium puzzle. When applied to an open economy with complete markets, this key feature requires that differences in currency returns should arise primarily from predictable appreciations, a requirement that is at odds with the data. We term this tension between a high equity premium, smooth risk-free rates, and largely unpredictable exchange rates the currency premium puzzle and argue it is the underlying reason why existing international asset pricing models have struggled to simultaneously match data on currency returns, equity returns, and risk-free rates.
In the third essay, I show that perturbation methods lead to significant computational errors when used to solve international risk-sharing models with Epstein and Zin (1989) preferences. In particular, if countries feature different sizes, the simulating results violate law of iterated expectations. Even under symmetric setups, the errors along a typical simulation path are non-negligible. I conclude that perturbation-based solutions of EZ risk-sharing models should be used with caution.
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Two Essays on Mergers and AcquisitionsLai, Shaojie 06 April 2018 (has links)
No description available.
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[en] ESSAYS IN CURRENCY RISK AND MARKET MICROSTRUCTURE / [pt] ENSAIOS SOBRE RISCO DE TAXA DE CÂMBIO E MICROESTRUTURA DE MERCADOSYLVIO KLEIN TROMPOWSKY HECK 18 February 2009 (has links)
[pt] Esta tese de doutorado compõe-se de três artigos, sendo dois em finanças
empíricas e um em microestrutura de mercado. O primeiro artigo estuda de que
forma movimentos nas curvas de juros futuros em Reais e Dólares Americanos
negociados na BM&F estariam relacionados com duas medidas de prêmio de
risco cambial, uma à priori, calculada com base nas expectativas de variação
cambial três meses à frente apuradas pelo Focus-BC, e outra à posteriori,
calculada sobre a variação cambial efetiva realizada nos mesmos três meses. Os
resultados mostram que movimentos da curva de DI parecem mais
correlacionados com a variação cambial efetiva do que com as expectativas
coletadas entre os agentes. O segundo artigo é uma variação do modelo de Ang e
Piazzesi (2003), e investiga a contribuição do mercado de câmbio sobre o
prêmio a termo na curva de juros futuros em Reais no Brasil. Usa-se uma UIP no
lugar de uma Regra de Taylor para modelar a dinâmica da taxa de curto prazo, o
que nos permite substituir as variáveis macro usuais de inflação e produto pela
expectativa de variação cambial e prêmio de risco cambial na especificação do
prêmio a termo na curva. O terceiro artigo propõe um modelo de mercado interdealer
em três estágios onde o processo de revelação de informação é modelado
como um sinal ruidoso e invertido de forma seqüencial nos dois estágios de
negociação no mercado inter-dealer que se seguem à transação inicial. As
simulações realizadas sugerem que a diversificação de risco na economia
diminui quanto maior a precisão do sinal nos dois estágios. / [en] In this thesis we discuss two empirical essays in finance
and one in market
microstructure. The first article studies the joint
dynamics of the two most liquid
term structure of interest rates traded at BM&F, one in
Brazilian reais and the
other in US dollars, and two currency risk premia measures.
One currency risk
premia measure is obtained using currency expectation
surveys conducted by the
Central Bank of Brazil, while the other will be residual
from the three month
forward premium traded each day and the effective currency
observed on the
liquidation date three months after. Results show that the
term structures will
explain some of the realized currency risk premia observed
three months after.
We see this as an evidence in favor of information in the
curves more correlated
to the effective currency movement in three months than the
expected
devaluation. The second article proposes and extension of
the framework
introduced by Ang and Piazzesi (2003) to accommodate a no-
arbitrage term
structure model with macro factors. We replace the usual
inflation and output
macro factors for two currency variables, the expected
currency devaluation and
the currency risk premia. Results here show a better fit
when compared to
existing models estimated for Brazil. The third article
proposes an inter-dealer
market model in three stages, where disclosure of
information is modeled by
noisy informative signals. Simulations show that dealers
better informed will
play strategically to avoid revealing information and the
risk-sharing in the
economy will be lower when we increase the precision of the
informative
signals.
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What is the 'Economic Value' of learning English in Spain?Robbins, Molly M 01 January 2015 (has links)
This paper uses historical and economic references to evaluate the economic value of learning English in Spain. Seeing that English is the lingua franca in politics, business, and technology, it is a necessary skill for Spanish citizens to possess in order to efficiently interact in foreign relations of all kinds. Due to Franco’s harsh language policies, and Spain’s ineffective education system, Spain has lacked the same linguistic exposure to foreign languages—especially English—than the rest of Europe. By referencing the previous literature written about the relationship between language and earnings, this paper seeks to find the economic incentive for Spaniards to learn English. The six issues introduced by language economist, Francois Grin, provide an economic, cultural, and social compass to evaluate the overall impact English language learning would have on the Spanish labor market and national economy. The six issues analyze the relevance language has on economic processes, human capital, social investments, policies, wage distribution, and the general market. With tourism as Spain’s most lucrative business sector, better skills in English communication would only add to its economic success. While the Spanish government has named English as one of the seven basic skills within the labor market, effective teaching programs still have to be developed.
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The relationship between carry trade currencies and equity markets, during the 2003-2012 time periodDumitrescu, Andrei, Tuovila, Antti January 2013 (has links)
One of the most popular investment and trading strategies over the last decade, has been the currency carry trade, which allows traders and investors to buy high-yielding currencies in the Foreign Exchange spot market by borrowing, low or zero interest rate currencies in the form of pairs, such as the Australian Dollar/Japanese Yen (AUD/JPY), with the purpose of investing the proceeds afterwards into fixed-income securities.To be able to determine the causality between the returns of equity markets and the foreign exchange market, we choose to observe the sensitivity and influence of two equity indexes on several pairs involved in carry trading. The reason for studying these relationships is to further explain the causes of the uncovered interest parity puzzle, thus adding our contribution to the academic field through this thesis.To accomplish our goals, data was gathered for daily quotes of 16 different currency pairs, grouped by interest differentials, and two equity indexes, the S&P 500 and FTSE All-World, along with data for the VIX volatility index, for the 2003-2012 period. The data was collected from Thomson Reuters Datastream and the selected ten year span was divided into three different periods. This was done in order to discover the differences on how equity indexes relate to typical carry trade currency pairs, depending on market developments before, during and after the world financial crisis.The tests conducted on the collected data measured the correlations, influences and sensitivity for the 16 different currency pairs with the S&P 500 Index, the FTSE All-World index, and the volatility index between the years of 2003-2012. For influences and sensitivity, we performed Maximum Likelihood (ML) regressions with Generalized Autoregressive Conditional Heteroscedasticity (GARCH) [1,1], in Eviews software.After analyzing the results, we found that, during our chosen time period, the majority of currency pair daily returns are positively correlated with the equity indexes and that the FX pairs show greater correlation with the FTSE All-World, than with the S&P 500. Factors such as the interest rate of a currency and the choice of funding currency played an important role in the foreign exchange markets, during the ten year time span, for every yield group of FX pairs.Regarding the influence and sensitivity between currency pairs and the S&P 500 with its VIX index, we found that our models explanatory power seems to be stronger when the interest rate differential between the currency pairs is smaller. Our regression analysis also uncovered that the characteristics of an individual currency can show noticeable effects for the relationship between its pair and the two indexes.
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An analysis of monetary policy transmission through bond yieldsLloyd, Simon Phillip January 2017 (has links)
In this thesis, I study the transmission of monetary policy through the term structure of interest rates. This is an important topic because, with short-term nominal interest rates in many advanced economies close to their effective lower bound since 2008-2009, central banks have used `unconventional' monetary policies, such as large-scale asset purchases and forward guidance, to stimulate macroeconomic activity by, inter alia, placing downward pressure on longer-term interest rates. I focus on the mechanisms through which monetary policy influences bond yields, domestically and globally, with reference to a canonical decomposition of longer-term interest rates into expectations of future short-term interest rates, and term premia. After an introduction in chapter 1, chapter 2 appraises the use of overnight indexed swap (OIS) rates as measures of expected future monetary policy. Unlike federal funds futures (FFFs), which have regularly been used to construct measures of US interest rate expectations, OIS rates are available in many countries. I find that US OIS rates provide measures of interest rate expectations that are as good as those from FFFs, and that US, UK, Eurozone and Japanese OIS rates up to a 2-year horizon tend to accurately measure interest rate expectations, providing comparable cross-country measures of monetary policy expectations. In chapter 3, I propose a novel method for estimating interest rate expectations and term premia at short and long-term horizons: a no-arbitrage Gaussian affine dynamic term structure model (GADTSM) augmented with OIS rates. Using 3 to 24-month OIS rates, the OIS-augmented model generates estimates of the expected path of short-term interest rates out to a 10-year horizon that closely correspond to those implied by FFFs rates and survey expectations, outperforming existing GADTSMs. I study the transmission of US unconventional monetary policies in chapter 4. Using the OIS-augmented GADTSM, I carry out an event study to demonstrate that US unconventional monetary policy announcements between November 2008 and April 2013 did significantly reduce US longer-term interest rates by affecting expectations and term premia. As a result of these declines, unconventional monetary policies aided US real economic outcomes. Using a structural vector autoregression, I show that changes in interest rate expectations, linked to monetary policy signalling, had more expansionary effects on US real economic outcomes than changes in term premia, associated with portfolio rebalancing. Chapter 5 assesses the international transmission of monetary policy through the term structure of interest rates between advanced economies. I present a micro-founded, two-country model with endogenous portfolio choice amongst country-specific short and long-term bonds, and equity. Within the model, US monetary policy has sizeable effects on longer-term interest rates in other advanced economies, which are similar to empirical estimates. Using the OIS-augmented GADTSM in an event study, I show that US monetary policy has led to changes in interest rate expectations in other advanced economies that amplify global spillovers, which have been partly mitigated by changes in term premia through portfolio rebalancing.
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O prêmio de inflação e a incerteza dos agentes econômicosDoi, Jonas Takayuki January 2015 (has links)
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Previous issue date: 2015 / O prêmio de inflação é calculado pela diferença entre a inflação implícita (diferença entre a taxa de juro nominal e a taxa de juro real encontrada nos títulos públicos) e a projeção de inflação dos agentes econômicos. A mediana do prêmio de inflação no Brasil varia entre 0.2% e 0.5% ao ano. O presente artigo encontra evidência empírica de que um aumento na incerteza dos agentes sobre a expectativa de inflação impacta positivamente o prêmio de inflação. O grau de incerteza dos agentes é medido neste trabalho pelo desvio padrão das projeções de inflação no relatório Focus do Banco Central. O primeiro modelo VAR foi testado com o desvio padrão e os prêmios de inflação para os horizontes de 3, 6, 9, 12, 24 e 36 meses, e apresentou resposta estatisticamente significativa positiva a um impulso no desvio padrão para todos os prêmios exceto os de horizontes de 3 e 6 meses. As respostas ao impulso são semelhantes para os diferentes horizontes. Um segundo modelo VAR foi testado com o desvio padrão, o prêmio de inflação com horizonte de 12 meses, a inclinação entre os prêmios de horizonte de 6 e 24 meses e uma borboleta entre os prêmios de horizonte de 3, 12 e 36 meses para verificar se a incerteza impacta também a forma da curva de prêmio de inflação. Esse não apresentou resposta estatisticamente significativa a um impulso no desvio padrão. Concluiu-se que a incerteza dos agentes impacta a curva de prêmio de inflação em nível, porém sem efeitos significativos no formato da curva. / The inflation premia is calculated by the difference between the inflation breakeven (difference between the nominal yield and the real yield embedded in the government bonds) with the inflation projection of the economic agents. The median of the inflation premia in Brazil vary from 0.2% to 0.5% per year. This article finds empirical evidence that an increase of the agents’ uncertainty over the inflation projections positively impacts the inflation premia. The uncertainty of the agents is measured by the standard deviation of the projections in the Focus report from the Brazil Central Bank. The first model VAR was tested with the standard deviation, the inflation premias for 3, 6, 9, 12, 25 and 36 months, and presented a statistically significant positive response to an impulse on the standard deviation to all inflation premias except for the 3 and 6 month maturities. The responses to the impulse are similar for all the maturities. The second model VAR was tested with the standard deviation, the 12 month inflation premia, the slope between 6 and 24 months and a butterfly between 3, 12 and 36 months inflation premia. This model did not presented a statistically significant response to an impulse on the standard deviation to the shape of the inflation premia curve. We concluded that the uncertainty of the projections impacts the level of the inflation premia curve, but without the significant effect on the shape of the curve.
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