989 resultados para Australian bond markets


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Includes bibliography

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In this work we studied the efficiency of the benchmarks used in the asset management industry. In chapter 2 we analyzed the efficiency of the benchmark used for the government bond markets. We found that for the Emerging Market Bonds an equally weighted index for the country weights is probably the more suited because guarantees maximum diversification of country risk but for the Eurozone government bond market we found a GDP weighted index is better because the most important matter is to avoid a higher weight for highly indebted countries. In chapter 3 we analyzed the efficiency of a Derivatives Index to invest in the European corporate bond market instead of a Cash Index. We can state that the two indexes are similar in terms of returns, but that the Derivatives Index is less risky because it has a lower volatility, has values of skewness and kurtosis closer to those of a normal distribution and is a more liquid instrument, as the autocorrelation is not significant. In chapter 4 it is analyzed the impact of fallen angels on the corporate bond portfolios. Our analysis investigated the impact of the month-end rebalancing of the ML Emu Non Financial Corporate Index for the exit of downgraded bond (the event). We can conclude a flexible approach to the month-end rebalancing is better in order to avoid a loss of valued due to the benchmark construction rules. In chapter 5 we did a comparison between the equally weighted and capitalization weighted method for the European equity market. The benefit which results from reweighting the portfolio into equal weights can be attributed to the fact that EW portfolios implicitly follow a contrarian investment strategy, because they mechanically rebalance away from stocks that increase in price.

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This paper focuses on the possible instruments for ‘ex-ante’/’preventive’/’precautionary’ interventions which can be deployed by the ESM and the ECB in order to prevent a debt crisis in a eurozone country. The potential of Eurobonds will also be discussed in this crisis management perspective. The first part of this paper traces the underlying trends of the evolution of interest rates in eurozone countries over the last decades. The second part discusses the principles of a preventive intervention in sovereign bond markets for the purpose of lowering borrowing costs of countries facing refinancing constraints; the limits and main issues of an ex-ante intervention will be underlined. In the third part, the properties of the ESM’s precautionary financial assistance and secondary market support facility will be discussed in details. The ECB preemptive intervention policies and, in particular, the OMT will be analyzed in the fourth part of the paper. The most likely course of action – a combined intervention by the ESM and the ECB – will be discussed in the fifth part. Finally, I will point out the core challenges of introducing Eurobonds as additional instruments to mitigate the rise of borrowing costs in the short term.

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Many studies suggest that balanced budget rules can restrain sovereign debt and lower sovereign borrowing costs, even if those rules are never enforced in court. Typically, this is explained as a result of a legal deterrence logic, in which the threat of judicial enforcement deters sovereigns from violating the rules. By contrast, we argue that balanced budget rules work by coordinating decentralized punishment of sovereigns by bond markets, rather than by posing a credible threat of judicial enforcement. Therefore, the clarity of the focal point provided by the rule, rather than the strength of its judicial enforcement mechanisms, determines its effectiveness. We develop a formal model that captures the logic of our argument, and we assess this model using data on US states. We then consider implications of our argument for the impact of the balanced budget rules recently imposed on eurozone states in the Fiscal Compact Treaty.

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A dividend imputation tax system provides shareholders with a credit (for corporate tax paid) that can be used to offset personal tax on dividend income. This paper shows how to infer the value of imputation tax credits from the prices of derivative securities that are unique to Australian retail markets. We also test whether a tax law amendment that was designed to prevent the trading of imputation credits affected their economic value. Before the amendment, tax credits were worth up to 50% of face value in large, high-yielding companies, but Subsequently it is difficult to detect any value at all. (C) 2003 Elsevier B.V. All rights reserved.

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Australian heroin markets have recently undergone dramatic change, sparking debate about the nature of such markets. This study aimed to determine the onset, peak and decline of the heroin shortage in New South Wales (NSW), using the most appropriate available methods to detect market level changes. The parameters of the heroin shortage were determined by reviewing: reports of heroin users about availability and price (derived from the existing literature and the Illicit Drug Reporting System); qualitative interviews with injecting drug users, and health and law enforcement professionals working in the illicit drug field; and examining data on heroin seizures over the past decade. There was a marked reduction in heroin supply in NSW in early 2001. An increase in the price of heroin occurred in 2001, whereas it had decreased steadily since 1996. A reduction in purity also occurred, as reported by drug users and heroin seizures. The peak period of the shortage appears to have been January to April 2001. The market appears to have stabilised since that time, although it has not returned to pre- 2001 levels: heroin prices have decreased in NSW for street grams, but not to former levels, and the price of `caps' (street deals) remain elevated. Heroin purity in NSW has remained low, with perhaps a 10% increase above the lowest recorded levels. These data support the notion that the heroin market in NSW underwent significant changes, which appear to have involved a lasting shift in the nature of the market.

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The literature on bond markets and interest rates has focused largely on the term structure of interest rates, specifically, on the so-called expectations hypothesis. At the same time, little is known about the nature of the spread of the interest rates in the money market beyond the fact that such spreads are generally unstable. However, with the evolution of complex financial instruments, it has become imperative to identify the time series process that can help one accurately forecast such spreads into the future. This article explores the nature of the time series process underlying the spread between three-month and one-year US rates, and concludes that the movements in this spread over time is best captured by a GARCH(1,1) process. It also suggests the use of a relatively long term measure of interest rate volatility as an explanatory variable. This exercise has gained added importance in view of the revelation that GARCH based estimates of option prices consistently outperform the corresponding estimates based on the stylized Black-Scholes algorithm.

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This paper explores the effect of credit rating agency’s (CRA) reputation on the discretionary disclosures of corporate bond issuers. Academics, practitioners, and regulators disagree on the informational role played by major CRAs and the usefulness of credit ratings in influencing investors’ perception of the credit risk of bond issuers. Using management earnings forecasts as a measure of discretionary disclosure, I find that investors demand more (less) disclosure from bond issuers when the ratings become less (more) credible. In addition, using content analytics, I find that bond issuers disclose more qualitative information during periods of low CRA reputation to aid investors better assess credit risk. That the corporate managers alter their voluntary disclosure in response to CRA reputation shocks is consistent with credit ratings providing incremental information to investors and reducing adverse selection in lending markets. Overall, my findings suggest that managers rely on voluntary disclosure as a credible mechanism to reduce information asymmetry in bond markets.

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A zona euro e mais concretamente o conjunto de países constituído por Grécia, Itália, Portugal, Espanha e Irlanda chamado de GIPSI, atravessam uma das maiores crises desde a Grande Depressão. De forma a ajudar estes países mais afetados, um conjunto de organizações internacionais (FMI/BCE/CE) apelidado de Troika, tem unido esforços para debelar as dificuldades de financiamento e criarem políticas de reforma com o objetivo de devolver a independência e potenciar o crescimento económico dos mesmos. As ações e comunicados destas organizações passaram assim a gozar de uma maior visibilidade e interesse por parte dos investidores. Tendo isso em conta, neste trabalho estudamos o impacto das notícias da Troika nos mercados acionista e obrigacionista dos GIPSI, com um maior foco no mercado português. Em Portugal não encontramos evidência de que as notícias diretamente relacionadas com as ações e comunicações da Troika têm efetivamente impactos significativos, quer no mercado acionista, quer no obrigacionista. No entanto, as notícias de carácter internacional sobre a crise, respeitantes aos outros países afetados, impactaram de forma significativa o PSI 20, especialmente quando estas foram boas, assim como outras notícias relativas a avaliações, anúncios de apoio ou críticas de outras organizações europeias e mundiais, bem como como de líderes de países intervenientes na ajuda aos países afetados e anúncios macroeconómicos, sendo que aqui esse impacto foi mais sentido nas más notícias. No mercado obrigacionista, voltamos a ter impactos significativos dos mesmos tipos de notícias juntando-se aqui as notícias relativas às medidas tomadas pelo Governo português e outros agentes governamentais. Os restantes mercados, Espanha e Grécia apresentaram impactos significativos no mercado acionista e obrigacionista, o que nos leva a confirmar estudos anteriores de que notícias relacionadas com a crise têm efeitos para além do país visado e impactam de forma significativa outros mercados, em especial os mais afetados.

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This PhD thesis contains three main chapters on macro finance, with a focus on the term structure of interest rates and the applications of state-of-the-art Bayesian econometrics. Except for Chapter 1 and Chapter 5, which set out the general introduction and conclusion, each of the chapters can be considered as a standalone piece of work. In Chapter 2, we model and predict the term structure of US interest rates in a data rich environment. We allow the model dimension and parameters to change over time, accounting for model uncertainty and sudden structural changes. The proposed timevarying parameter Nelson-Siegel Dynamic Model Averaging (DMA) predicts yields better than standard benchmarks. DMA performs better since it incorporates more macro-finance information during recessions. The proposed method allows us to estimate plausible realtime term premia, whose countercyclicality weakened during the financial crisis. Chapter 3 investigates global term structure dynamics using a Bayesian hierarchical factor model augmented with macroeconomic fundamentals. More than half of the variation in the bond yields of seven advanced economies is due to global co-movement. Our results suggest that global inflation is the most important factor among global macro fundamentals. Non-fundamental factors are essential in driving global co-movements, and are closely related to sentiment and economic uncertainty. Lastly, we analyze asymmetric spillovers in global bond markets connected to diverging monetary policies. Chapter 4 proposes a no-arbitrage framework of term structure modeling with learning and model uncertainty. The representative agent considers parameter instability, as well as the uncertainty in learning speed and model restrictions. The empirical evidence shows that apart from observational variance, parameter instability is the dominant source of predictive variance when compared with uncertainty in learning speed or model restrictions. When accounting for ambiguity aversion, the out-of-sample predictability of excess returns implied by the learning model can be translated into significant and consistent economic gains over the Expectations Hypothesis benchmark.

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This PhD thesis contains three main chapters on macro finance, with a focus on the term structure of interest rates and the applications of state-of-the-art Bayesian econometrics. Except for Chapter 1 and Chapter 5, which set out the general introduction and conclusion, each of the chapters can be considered as a standalone piece of work. In Chapter 2, we model and predict the term structure of US interest rates in a data rich environment. We allow the model dimension and parameters to change over time, accounting for model uncertainty and sudden structural changes. The proposed time-varying parameter Nelson-Siegel Dynamic Model Averaging (DMA) predicts yields better than standard benchmarks. DMA performs better since it incorporates more macro-finance information during recessions. The proposed method allows us to estimate plausible real-time term premia, whose countercyclicality weakened during the financial crisis. Chapter 3 investigates global term structure dynamics using a Bayesian hierarchical factor model augmented with macroeconomic fundamentals. More than half of the variation in the bond yields of seven advanced economies is due to global co-movement. Our results suggest that global inflation is the most important factor among global macro fundamentals. Non-fundamental factors are essential in driving global co-movements, and are closely related to sentiment and economic uncertainty. Lastly, we analyze asymmetric spillovers in global bond markets connected to diverging monetary policies. Chapter 4 proposes a no-arbitrage framework of term structure modeling with learning and model uncertainty. The representative agent considers parameter instability, as well as the uncertainty in learning speed and model restrictions. The empirical evidence shows that apart from observational variance, parameter instability is the dominant source of predictive variance when compared with uncertainty in learning speed or model restrictions. When accounting for ambiguity aversion, the out-of-sample predictability of excess returns implied by the learning model can be translated into significant and consistent economic gains over the Expectations Hypothesis benchmark.

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We utilize the default by Argentina in 2001 and the Global Financial Crisis in 2008, as natural experiments, to monitor the complex interactions between sovereign bonds when subjected to endogenous and exogenous shocks. By forming pairs of Latin American sovereign bonds, bundled into similar maturity class, the analysis highlights the complex nature of risk shifting, and the temporal nature of the volatility transmission and sharing mechanisms in the lead up to, and after, a crisis period. The results show that shorter maturity groups and longer maturity groups behave in fundamentally different ways in terms of volatility transmission, while one or two leading countries act as regional benchmarks. The dynamics are consistent with temporal but segmented investor preferences, with the arrival of crisis contributing to a breakdown in the previous relationships. In addition, there is additional economic benefit from utilizing knowledge of the volatility structure underlying the historic transmission channels to improve the portfolio outcomes of market participants.

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Using a large panel of Australian firms, we investigate if mispricing in the stock market has an impact on firm-level investment. A significantly positive relation is documented between investment and theproxies for mispricing, suggesting that overpriced (underpriced) firms tend to overinvest (underinvest). Furthermore, we find that equity-dependent firms display a more pronounced sensitivity of investment to stock misvaluation than do nonequity-dependent firms. Taken together, our findings evidence that mispricing in Australian capital markets may have significant influence on the real economy, and the influence works though an equity-financing channel.© 2007 Elsevier B.V. All rights reserved.