This thesis is the first study that provides comprehensive empirical evidence on both the impacts of the target interest rate news from the Reserve Bank of Australia (RBA) on the Australian financial markets, and the spillover effects of the target interest rate news from the US Federal Reserves (Fed) and the European Central Bank (ECB) on the Asia Pacific's equity and currency markets. This thesis contributes to the current literature in several ways. First, while there is ample evidence in the literature suggesting that the markets would not react to what is already expected but will react to the news, the current literature on the RBA's target rate effects is still limited to the investigation of the overall announcement impact on the first moment of the Australian market return only. Therefore, this thesis firstly comprehensively investigates the impacts of the unexpected components of the RBA's target rate announcements (or news) on the first two moments of various segments of the Australian financial markets including interest rate changes, the Australian dollar and stock market returns. In so doing, this thesis contributes to the current literature on the impacts of domestic target interest rate news. Second, while the established literature seems to be missing a thorough investigation of the spillover effects of the Fed's and the ECB's news on the Asia Pacific markets, this thesis provides comprehensive evidence on the spillover effects of the Fed's and the ECB's target rate news on both the mean and volatility of the Asia Pacific's stock and currency returns. Furthermore, we not only document the presence of the news spillover effects but also highlight the incremental explanatory power of the target interest rate news in the presence of the indirect effects from the US's and euro area's markets to the Asia-Pacific markets. To this end, this thesis contributes to the literature on spillover effects of foreign target interest rate news. Third, while the literature is silent on how quickly the target interest rate news is absorbed in foreign markets, this thesis takes a step forward and breaks down the daily horizon into the overnight and the intraday horizons. In so doing, the thesis examines the absorption speed of target rate news in the Asia-Pacific markets. This is an important issue because there might be potential for a diverse array of response dynamics across countries due to heterogeneous market developments, nature of monetary policy synchronization, and financial and real integration with the U.S. and the euro area. Specifically, this thesis presents three independent empirical inquiries that contribute to the literature on domestic and spillover effects of the target interest rate news. Chapter 4 provides comprehensive empirical evidence for the impacts of the RBA's target rate news on various segments of the Australian financial markets during the period from 1998 to 2006. We also investigate the spillover effects of the US Fed's news on the Australian financial markets. We show that the RBA's and the Fed's news significantly affect the Australian financial markets in line with a priori expectations. However, while the RBA's news raises volatility in the Australian financial markets, the volatility was significantly lower in all market segments following the Fed's news. The spillover effects of the US Fed's and the ECB's target interest rate news on the mean and the volatility of twelve Asia Pacific's stock markets' returns are examined in Chapter 5, and seven Asia Pacific exchange rates against the US dollar and the euro over the period 1999-2006 are carried out in Chapter 6. The spillover effects on the conditional mean are generally consistent with the literature where a majority of Asia Pacific stock markets shows significant negative returns and a majority of currencies depreciates against the US dollar and the euro in response to the Fed's and the ECB's unexpected rate rises. Furthermore, in response to the two target rate news, the conditional volatility of the Asia Pacific stock markets was higher while the market calming effects have been observed for the currency markets and both the Fed and the ECB news elicit persisting volatility responses. We conjecture that as the ECB's news tends to confirm the Fed's earlier decision, this relationship might help reduce uncertainties in the Asia Pacific currency markets upon the future path of target interest rates from both the Central Banks, which ultimately results in into a lower volatility level. These findings are important not only to the Asia Pacific’s policy makers to help them improve the conduct of monetary policy but also to market participants in designing trading mechanisms as well as risk management strategies in response to both domestic and external interest rate shocks. Furthermore, these findings also shed light on the lead-lag relationship between the Fed and the ECB in making policy decisions. The notion that the ECB follows the Fed in setting its policy is so strong amongst market participants that empirical evidence seems to be crucial. Despite the fact that the ECB's news arrives after the Fed's news, this study provides evidence that the ECB's news has its own merits in the Asia Pacific markets and helps resolve differences in beliefs among market participants.

Countries participating in a common currency area increase their integration within the area. This paper investigates the impact common currency areas have for economic integration with economies of different characteristic outside the area. Results for a common currency group compares to a sovereign currency group. The common currency group consists of three countries who have adopted the euro, while the sovereign currency group consist of three European countries with sovereign currencies. The level of economic integration is examined towards three different economies; European drivers, global markets and emerging markets. The period ranges from 1993M01 to 2017M09 and includes industrial production indices and stock market indices. Economic integration is studied through a DCC-EGARCH model, on both aggregated and time-dependent level, which yield correlations. In comparison to previous studies, this paper also applies a cross-quantilogram method to examine the impact of different market conditions have on the correlations. Higher correlations for the common currency group than for the sovereign currency group do exist with the European drivers and the global countries. With the emerging markets such pattern is not found, instead low correlations are mainly examined. Besides the correlation with the emerging countries, the results indicate membership in a common currency area, in this case the EMU, to increase the economic integration. Overall, highest levels of correlation are found with the European drivers, followed by the US as a global economy, corresponding with the importance of homogeneity for high economic integration. Due to no conclusive change in correlations during the euro implementation, membership in a common currency area per se does not increase economic integration. However, a common currency area with a strong currency do along with other characteristics influence the economic integration. We find evidence that market regimes have an impact on economic integration. Adverse market conditions overall seem to influence the integration in a higher degree than normal or good conditions. The results indicate that the adverse conditions increase the economic integration, this is in particularly seen for the common currency countries correlation with the European drivers and the US.

This thesis examines the volatility forecasting performance of six commonly used forecasting models; the simple moving average, the exponentially weighted moving average, the ARCH model, the GARCH model, the EGARCH model and the GJR-GARCH model. The dataset used in this report are three different Nordic equity indices, OMXS30, OMXC20 and OMXH25. The objective of this paper is to compare the volatility models in terms of the in-sample and out-of-sample fit. The results were very mixed. In terms of the in-sample fit, the result was clear and unequivocally implied that assuming a heavier tailed error distribution than the normal distribution and modeling the conditional mean significantly improves the fit. Moreover a main conclusion is that yes, the more complex models do provide a better in-sample fit than the more parsimonious models. However in terms of the out-of-sample forecasting performance the result was inconclusive. There is not a single volatility model that is preferred based on all the loss functions. An important finding is however not only that the ranking differs when using different loss functions but how dramatically it can differ. This illuminates the importance of choosing an adequate loss function for the intended purpose of the forecast. Moreover it is not necessarily the model with the best in-sample fit that produces the best out-of-sample forecast. Since the out-of-sample forecast performance is so vital to the objective of the analysis one can question whether the in-sample fit should even be used at all to support the choice of a specific volatility model.

In today’s financial markets, volatility is a fundamental concept in regards of the risk assessment of assets and instruments. Financial volatility is commonly used to measure the quantitative aspects of risk and is given a significant amount of attention in past literature and research. The leverage effect refers to the well-established negative relationship between return and future volatility. The relation is usually explained by the increased leverage ratio that arises from a drop in the share price for a firm. A lower price means lower value of the equity and while the debt remains unchanged, the leverage ratio will rise. The leverage ratio affect how risky the equity is from an investor’s perspective, hence affects the volatility of the stock. This paper aims to analyse whether the theory is applicable on the Swedish stock exchange and takes both individual stocks and the OMXS30-index into account. Further theories related to the model is acknowledged in order to enhance the analysis of the findings. The study is performed by a regression model where volatility, estimated through an EGARCH model, represents the dependent variable. Lagged return, together with a number of control variables, constitutes the explanatory variables. The findings claims that the leverage effect is present for individual stocks but can be rejected on the index level. Additionally, significant improvement was noticed when a dynamic approach was added to the model. The conclusions drawn is that the Swedish stock exchange facilitates the leverage effect for individual firms but it is off-set by other theories such as risk-return trade-off and volatility clustering for the index. / I dagens finansiella marknader är volatilitet ett fundamentalt koncept som är ytterst relevant i risk bedömningen av tillgångar och instrument. Finansiell volatilitet används ofta för att mäta risk i kvantitativ form och har på senare tiden uppmärksammats i allt större utsträckning. Leverage effekten (en.”the leverage effect”) refererar till det! väletablerade negativa samband som finns mellan avkastning i nuvarande period och framtida volatilitet. Sambandet mellan dessa faktorer har av många förklarats av en ökning i skuldsättningsgraden för ett företag. Skuldsättningsgraden ökar enligt teorin som en konsekvens av att aktiekursen sjunker, innebärande en värdeminskning av det egna kapitalet, samtidigt som skulderna förblir oförändrade. Skuldsättningsgraden påverkar i sin tur aktiens volatilitet genom en uppfattning av hur stor risk som kan förknippas med en investering i aktien. För att stärka analysen diskuteras, förutom leverage effekten, ett antal teorier som kan relateras till modellen. Uppsatsen syfte är att avgöra om leverage effekten är signifikant applicerbar på den svenska aktiemarknaden, både för individuella aktier samt OMXS30 indexet. Studien utförs genom en regressions modell där volatiliteten, estimerad genom en EGARCH model, representerar den beroende variabeln. Avkastningen i föregående period samt ett antal kontroll variabler utgör de oberoende variablerna. Resultatet visar att leverage effekten har stor applicerbarhet på de individuella aktierna men kan uteslutas på en index nivå. Dessutom ökar relevansen signifikant när en dynamisk angreppsätt adderades till modellen. Slutsatsen är att leverage effekten är närvarande på en individuell nivå men neutraliseras av teorier så som ”risk return trade off” och ”volatilitets klustring” på index nivå.

Covid19 hit the world’s financial markets by surprise in March 2020 and ensuing volatility marked an end to the prior low-volatility environment. This Black Swan engendered numerous publications establishing how the equity market responded to the exogenous shock. However, there is no applicable comparison to Nasdaq100 regarding how models perform during extreme conditions such as ante, amid and post Covid19. Furthermore, goodness of fit together with forecasting accuracy are further examined in the light of new intra-day data from Oxford Man Institute covering this time-period. This thesis presents a comparison of volatility models incorporating economic intuition, sentiment, historical values of volatility and stochastics. By exploiting intra-day at 5 min interval the trade-off between noise and loss of valuable information effectively kept at a minimum yielding considerable robustness to the thesis’ result. Linear ARCH-models, Implied Volatility and HARRV applied with the addition of several different combinations of hold-out periods enable multiple vantagepoints for evaluation. This thesis finds HARRV’s series of one-step ahead prediction of future conditional volatility to be superior throughout all hold-out periods. I am able to present empirical evidence supporting the idea that HARRV’s additive cascades of volatility is superior to sentiment-driven implied volatility and ARCH-models pertaining to Nasdaq100.

While numerous studies have investigated the impact of oil prices on the stock market, Chapter 2 is the first to examine the association between corporate bond yields and oil returns. We examine the association between oil-returns and corporate bond yields of four major U.S. industrial and financial sectors (including thirteen sub-sectors). Chapter 3 examines the reaction of stock markets in the U.K. and the Netherlands to a major composite event in the oil industry – the merger of the Royal Dutch Shell (RDSA) and the BG Group (BRGYY) on April 8, 2015, and the subsequent discovery of oil in southern England on April 9. We employ an exponential autoregressive conditionally heteroskedastic (EGARCH (1, 1)) framework in both Chapters, which allows for asymmetry of the effects between positive and negative external shocks including oil return shocks, shows the effects on both the yields/stock returns and their volatilities, and permits the persistence of the shocks to be measured. Three main results are obtained in Chapter 2. First, oil returns are significantly associated with the yield levels of corporate bonds issued in ten out of the thirteen sub-sectors considered within the oil-substitute, oil-related, oil-user, and financial services sectors. The three exceptions are the Petroleum Refinery, Building, and Chemical sub-sectors. Second, the return volatilities of corporate bonds issued in the Plastic & Rubber sub-sector demonstrate asymmetric responses to positive and negative shocks. To elaborate, negative shocks lead to lower volatility in the Plastic & Rubber sub-sector than positive shocks of the same magnitude. Third, the half-life, or the time it takes for the volatility of the portfolio of bonds in the Industrial Machinery sub-sector to move halfway back to its conditional mean after a shock is introduced, is 8.6 months. For bonds in all other sub-sectors, the half-life is less than 2.5 months. We obtain several results in Chapter 3. First, the composite event of merger and oil discovery generated significant abnormal returns in six out of the thirteen sub-sectors considered in the U.K. and three out of ten sub-sectors in the Netherlands. The remaining seven sub-sectors in the U.K. and the other seven sub-sectors in the Netherlands show no sensitivity in returns to the shock. Second, there is evidence of some information leakage about the composite event as demonstrated in the significant abnormal returns for Coal, Oil & Gas Extraction, Depository Institute, Chemical and Plastic & Rubber sub-sectors in U.K. and Coal, Depository Institute and Air Transportation sub-sectors in the Netherlands up to three days before the announcement of the composite event. Third, the behavioral patterns of four of the thirteen sub-sectors considered in the U.K. and four of the ten sub-sectors considered in the Netherlands demonstrate asymmetry in response to external shocks to their respective returns. These results have three main implications. First, investors holding bonds issued by the two sub-sectors with asymmetric oil shock effects need to add bonds from oil-related and oil-substitute sectors to lower the volatility of their bond portfolio because the latter do not exhibit asymmetry. Second, considering the overall finding of sensitivity to oil price changes, institutional investors need to examine the sensitivity of their bond portfolios to oil return changes and to guard against excessive risk. Similarly, corporations should monitor oil price variations and hedge the volatility risk accordingly. Finally, stock investors in the U.K. and the Netherlands might benefit from monitoring the key events that may affect the oil supply and oil prices, and acting accordingly. / Economics

Agency theory suggests that information asymmetry between mutual fund managers and mutual fund investors can be mitigated if managers are compensated for the private information that influences mutual fund risk and performance. This study investigates the role of active management in influencing returns and return volatility of mutual funds. Chapter 1 investigates whether real estate mutual funds (REMFs) outperform Carhart’s (1997) four-factor and index benchmarks using daily return data from the CRSP survivorship bias-free mutual fund database from September 1998 to December 2013. We employ generalized autoregressive conditionally heteroscedastic (GARCH) volatility models to estimate more precise alphas than those generated in the extant studies. We document that risk-adjusted alphas of actively managed REMFs are statistically and economically significant, reflecting the informational advantage and skills of active managers. We also show that actively managed REMFs outperform the real estate index benchmark (Ziman Real Estate Index) and generate a yearly buy-and-hold abnormal return of 3.64%. Active management, therefore, provides value beyond the diversification benefits that can be generated by investing into the real estate index. While active managers of REMFs generate abnormal returns (gross of expenses), they capture the entire amount themselves, sharing none with investors (net of expenses). Accordingly, the average abnormal return to investors is close to zero due to expenses associated with REMFs, such as management fees, 12b-1 fees, waivers, and reimbursements. Finally, we find that passively managed REMFs do not generate abnormal risk-adjusted alphas in Carhart’s (1997) four-factor model. Chapter 2 examines managed volatility mutual funds (MVMFs) that utilize a range of investment strategies focused on portfolio volatility. These funds have increased in popularity in the wake of the financial crisis (December 2007 to June 2009) which introduced considerable volatility into the markets. We test whether MVMFs provide better performance during periods of recessions and expansions as compared to conventional mutual funds (MFs). We obtain several interesting results. First, MVMFs underperform compared to conventional MFs by more than 2% during the entire sample period. Second, MVMFs outperform conventional MFs in recessions by over 4% annually. Third, MVMFs underperform conventional MFs by more than 2.5% during expansions. Our results suggest that MVMFs can benefit investors during periods of recessions at the cost of performing worse during expansions. Chapter 3 studies MF return volatility patterns by testing a host of hypotheses for MFs with various style objectives. To conduct the tests, we use daily returns data from the CRSP survivorship bias-free mutual fund database from September 1998 to December 2013. We examine volatility patterns across the following nine styles: Passively Managed, Actively Managed, Sector, Capitalization, Growth and Income, Income, Growth, Hedged, and Dedicated Short Bias. We employ the exponential generalized autoregressive conditionally heteroscedastic (EGARCH) volatility model. Several results are obtained. First, we show that the financial crisis of 2007-2009 had a positive or a negative impact on volatility, depending on the investment style. Second, MF volatility behavior exhibits significant cluster effects in all styles, indicating that larger return shocks lead to greater increases in return volatility. Third, shock-persistence patterns differ across various MF styles with shocks to Dedicated Short Bias MFs being the least persistent and Capitalization and Growth and Income being the most persistent. Lastly, there is considerable negative asymmetry in MF return volatility changes in response to good and bad news in the sense that negative shocks to MF returns increase volatility more than positive shocks of the same magnitude for many Actively Managed MF styles. Significant negative asymmetry of this type makes the industry vulnerable to market downturns and should be addressed by regulators, MF managers, and investors. / Business Administration/Finance

Este trabalho consiste em um estudo comparativo de diversos modelos para cálculo do Valor em Risco de um portifólio. São comparados modelos que consideram a série univariada de log-retornos do portifólio versus mo- delos multivariados, que consideram as séries de log-retornos de cada ativo que compõe o portifólio e suas correlações condicionais. Além disso, são testados modelo propostos recentemente, que possuem pouca literatura a respeito, como o PS-GARCH e o VARMA-GARCH. Também propomos um novo modelo, que utiliza o resultado acumulado do portifólio nos últimos dias como variável exógena. Os diferentes modelos são avaliados em termos de sua adequação às exigëncias do Acordo de Basileia e seu impacto financeiro, em um período que inclui épocas de alta volatilidade. De forma geral, não foram notadas grandes diferenças de performance entre modelos univariados e multivariados. Os modelos mais complexos mostraram-se mais eficientes, produzindo resultados satisfatórios inclusive em tempos de crise. / The present work consists of a comparative study of several portfolio Value-at-Risk models. Univariate models, which consider only the portfolio log-returns series, are compared to multivariate models, which consider the log-returns series of each asset individually and their conditional correlations. Additionally, recently proposed models such as PS-GARCH and VARMA-GARCH are tested. We also propose a new model that uses past cumulative returns as exogenous variables. All models are evaluated in terms of their compliance to Basel Accord and financial impact, in period that includes high volatility times. In general, univariate and multivariate models performed similarly. More complex models yielded more accurate results, with satisfactory performance including in crisis periods.

Este trabalho consiste em um estudo comparativo de diversos modelos para cálculo do Valor em Risco de um portifólio. São comparados modelos que consideram a série univariada de log-retornos do portifólio versus mo- delos multivariados, que consideram as séries de log-retornos de cada ativo que compõe o portifólio e suas correlações condicionais. Além disso, são testados modelo propostos recentemente, que possuem pouca literatura a respeito, como o PS-GARCH e o VARMA-GARCH. Também propomos um novo modelo, que utiliza o resultado acumulado do portifólio nos últimos dias como variável exógena. Os diferentes modelos são avaliados em termos de sua adequação às exigëncias do Acordo de Basileia e seu impacto financeiro, em um período que inclui épocas de alta volatilidade. De forma geral, não foram notadas grandes diferenças de performance entre modelos univariados e multivariados. Os modelos mais complexos mostraram-se mais eficientes, produzindo resultados satisfatórios inclusive em tempos de crise. / The present work consists of a comparative study of several portfolio Value-at-Risk models. Univariate models, which consider only the portfolio log-returns series, are compared to multivariate models, which consider the log-returns series of each asset individually and their conditional correlations. Additionally, recently proposed models such as PS-GARCH and VARMA-GARCH are tested. We also propose a new model that uses past cumulative returns as exogenous variables. All models are evaluated in terms of their compliance to Basel Accord and financial impact, in period that includes high volatility times. In general, univariate and multivariate models performed similarly. More complex models yielded more accurate results, with satisfactory performance including in crisis periods.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The Beta-Skew-t-EGARCH model was recently proposed in literature to model the volatility of financial returns. The inferences over the model parameters are based on the maximum likelihood method. The maximum likelihood estimators present good asymptotic properties; however, in finite sample sizes they can be considerably biased. Monte Carlo simulations were used to evaluate the finite sample performance of point estimators. Numerical results indicated that the maximum likelihood estimators of some parameters are biased in sample sizes smaller than 3,000. Thus, bootstrap bias correction procedures were considered to obtain more accurate estimators in small samples. Better quality of forecasts was observed when the model with bias-corrected estimators was considered. In addition, we propose a likelihood ratio test to assist in the selection of the Beta-Skew-t-EGARCH model with one or two volatility components. The numerical evaluation of the two-component test showed distorted null rejection rates in sample sizes smaller than or equal to 1,000. To improve the performance of the proposed test in small samples, the bootstrap-based likelihood ratio test and the bootstrap Bartlett correction were considered. The bootstrap-based test exhibited the closest null rejection rates to the nominal values. The evaluation results of the two-component tests showed their practical usefulness. Finally, an application to the log-returns of the German stock index of the proposed methods was presented. / O modelo Beta-Skew-t-EGARCH foi recentemente proposto para modelar a volatilidade de retornos financeiros. A estimação dos parâmetros do modelo é feita via máxima verossimilhança. Esses estimadores possuem boas propriedades assintóticas, mas em amostras de tamanho finito eles podem ser consideravelmente viesados. Com a finalidade de avaliar as propriedades dos estimadores, em amostras de tamanho finito, realizou-se um estudo de simulações de Monte Carlo. Os resultados numéricos indicam que os estimadores de máxima verossimilhança de alguns parâmetros do modelo são viesados em amostras de tamanho inferior a 3000. Para obter estimadores pontuais mais acurados foram consideradas correções de viés via o método bootstrap. Verificou-se que os estimadores corrigidos apresentaram menor viés relativo percentual. Também foi observada melhor qualidade das previsões quando o modelo com estimadores corrigidos são considerados. Para auxiliar na seleção entre o modelo Beta-Skew-t-EGARCH com um ou dois componentes de volatilidade foi apresentado um teste da razão de verossimilhanças. A avaliação numérica do teste de dois componentes proposto demonstrou taxas de rejeição nula distorcidas em tamanhos amostrais menores ou iguais a 1000. Para melhorar o desempenho do teste foram consideradas a correção bootstrap e a correção de Bartlett bootstrap. Os resultados numéricos indicam a utilidade prática dos testes de dois componentes propostos. O teste bootstrap exibiu taxas de rejeição nula mais próximas dos valores nominais. Ao final do trabalho foi realizada uma aplicação dos testes de dois componentes e do modelo Beta-Skew-t-EGARCH, bem como suas versões corrigidas, a dados do índice de mercado da Alemanha.