Search-for-yield in Portuguese fixed-income mutual funds and monetary policy

This paper studies the effects of monetary policy on mutual fund risk taking using a sample of Portuguese fixed-income mutual funds in the 2000-2012 period. Firstly I estimate time-varying measures of risk exposure (betas) for the individual funds, for the benchmark portfolio, as well as for a representative equally-weighted portfolio, through 24-month rolling regressions of a two-factor model with two systematic risk factors: interest rate risk (TERM) and default risk (DEF). Next, in the second phase, using the estimated betas, I try to understand what portion of the risk exposure is in excess of the benchmark (active risk) and how it relates to monetary policy proxies (one-month rate, Taylor residual, real rate and first principal component of a cross-section of government yields and rates). Using this methodology, I provide empirical evidence that Portuguese fixed-income mutual funds respond to accommodative monetary policy by significantly increasing exposure, in excess of their benchmarks, to default risk rate and slightly to interest risk rate as well. I also find that the increase in funds’ risk exposure to gain a boost in return (search-for-yield) is more pronounced following the 2007-2009 global financial crisis, indicating that the current historic low interest rates may incentivize excessive risk taking. My results suggest that monetary policy affects the risk appetite of non-bank financial intermediaries.

PERFORMANCE ANALYSIS OF A TACTICAL ASSET ALLOCATION – Evidence from the Black–Litterman model based fixed income portfolio

Over time the demand for quantitative portfolio management has increased among financial institutions but there is still a lack of practical tools. In 2008 EDHEC Risk and Asset Management Research Centre conducted a survey of European investment practices. It revealed that the majority of asset or fund management companies, pension funds and institutional investors do not use more sophisticated models to compensate the flaws of the Markowitz mean-variance portfolio optimization. Furthermore, tactical asset allocation managers employ a variety of methods to estimate return and risk of assets, but also need sophisticated portfolio management models to outperform their benchmarks. Recent development in portfolio management suggests that new innovations are slowly gaining ground, but still need to be studied carefully. This thesis tries to provide a practical tactical asset allocation (TAA) application to the Black–Litterman (B–L) approach and unbiased evaluation of B–L models’ qualities. Mean-variance framework, issues related to asset allocation decisions and return forecasting are examined carefully to uncover issues effecting active portfolio management. European fixed income data is employed in an empirical study that tries to reveal whether a B–L model based TAA portfolio is able outperform its strategic benchmark. The tactical asset allocation utilizes Vector Autoregressive (VAR) model to create return forecasts from lagged values of asset classes as well as economic variables. Sample data (31.12.1999–31.12.2012) is divided into two. In-sample data is used for calibrating a strategic portfolio and the out-of-sample period is for testing the tactical portfolio against the strategic benchmark. Results show that B–L model based tactical asset allocation outperforms the benchmark portfolio in terms of risk-adjusted return and mean excess return. The VAR-model is able to pick up the change in investor sentiment and the B–L model adjusts portfolio weights in a controlled manner. TAA portfolio shows promise especially in moderately shifting allocation to more risky assets while market is turning bullish, but without overweighting investments with high beta. Based on findings in thesis, Black–Litterman model offers a good platform for active asset managers to quantify their views on investments and implement their strategies. B–L model shows potential and offers interesting research avenues. However, success of tactical asset allocation is still highly dependent on the quality of input estimates.

Dynamic Performance Evaluation of Canadian Fixed-Income Funds using Markov Regime Switching Models

This thesis examines the performance of Canadian fixed-income mutual funds in the context of an unobservable market factor that affects mutual fund returns. We use various selection and timing models augmented with univariate and multivariate regime-switching structures. These models assume a joint distribution of an unobservable latent variable and fund returns. The fund sample comprises six Canadian value-weighted portfolios with different investing objectives from 1980 to 2011. These are the Canadian fixed-income funds, the Canadian inflation protected fixed-income funds, the Canadian long-term fixed-income funds, the Canadian money market funds, the Canadian short-term fixed-income funds and the high yield fixed-income funds. We find strong evidence that more than one state variable is necessary to explain the dynamics of the returns on Canadian fixed-income funds. For instance, Canadian fixed-income funds clearly show that there are two regimes that can be identified with a turning point during the mid-eighties. This structural break corresponds to an increase in the Canadian bond index from its low values in the early 1980s to its current high values. Other fixed-income funds results show latent state variables that mimic the behaviour of the general economic activity. Generally, we report that Canadian bond fund alphas are negative. In other words, fund managers do not add value through their selection abilities. We find evidence that Canadian fixed-income fund portfolio managers are successful market timers who shift portfolio weights between risky and riskless financial assets according to expected market conditions. Conversely, Canadian inflation protected funds, Canadian long-term fixed-income funds and Canadian money market funds have no market timing ability. We conclude that these managers generally do not have positive performance by actively managing their portfolios. We also report that the Canadian fixed-income fund portfolios perform asymmetrically under different economic regimes. In particular, these portfolio managers demonstrate poorer selection skills during recessions. Finally, we demonstrate that the multivariate regime-switching model is superior to univariate models given the dynamic market conditions and the correlation between fund portfolios.

Estimating the term structure of volatility and fixed income derivative pricing

Estimating the parameters of the instantaneous spot interest rate process is of crucial importance for pricing fixed income derivative securities. This paper presents an estimation for the parameters of the Gaussian interest rate model for pricing fixed income derivatives based on the term structure of volatility. We estimate the term structure of volatility for US treasury rates for the period 1983 - 1995, based on a history of yield curves. We estimate both conditional and first differences term structures of volatility and subsequently estimate the implied parameters of the Gaussian model with non-linear least squares estimation. Results for bond options illustrate the effects of differing parameters in pricing.

Fundos de ações com benchmark em renda fixa mais do que compensam o investidor relativamente aos fundos com benchmark em renda variável?

Este trabalho estuda o diferencial de retorno entre fundos de ações com benchmark em índices de renda fixa e fundos de ações com benchmark em índices de renda variável. A escolha de um índice de renda fixa como benchmark para um FIA, em média tende a ser pior para o cotista, pois gera um potencial de ganho financeiro para o gestor não associado ao real valor por ele criado. Portanto, como a remuneração dos gestores através da taxa de performance depende em parte do benchmark escolhido, fundos com benchmark em renda fixa deveriam apresentar melhores desempenhos a fim de compensarem seus cotistas por este custo. Os resultados encontrados sugerem que os gestores de fundos com benchmark em renda fixa obtêm um retorno líquido de taxas de performance e administração superior para seus cotistas e também apresentam uma menor correlação com o Índice Bovespa.

The performance of open-end Brazilian fixed income mutual funds for retail clients

From a financial perspective, this dissertation analyzes the Brazilian mutual fund industry performance for an average retail client. The most representative funds for the local population, that are the fixed income open-end ones, will be selected and their performance will be measured aiming to answer if clients of this industry obtained a proper return over their investments in the period between August 2010 and August 2013. A proper return will be understood as the preservation of the purchasing power of the individual´s savings, what is achieved with a positive performance of a mutual fund after discounting taxes, administrative fees and inflation. After obtaining an answer for the previous question, this dissertation will explore a possible alternative solution: Tesouro Direto, that is an example of a financial approach that could foster the disintermediation between savings and investments through electronic channels. New electronic platforms, with a broader scope, could be utilized to increase the efficiency of funding productive investments through better remunerating Brazilian savings. Tesouro Direto may point towards a new paradigm.

Estimation of random coefficients logit demand models: an application to the Brazilian fixed income fund market

Estimation of demand and supply in differentiated products markets is a central issue in Empirical Industrial Organization and has been used to study the effects of taxes, merges, introduction of new goods, market power, among others. Logit and Random Coefficients Logit are examples of demand models used to study these effects. For the supply side it is generally supposed a Nash equilibrium in prices. This work presents a detailed discussion of these models of demand and supply as well as the procedure for estimation. Lastly, is made an application to the Brazilian fixed income fund market.

ASSESSING THE PERFORMANCE OF EMERGING MARKET MUTUAL FUNDS IN CANADA

Emerging markets have received wide attention from investors around the globe because of their return potential and risk diversification. This research examines the selection and timing performance of Canadian mutual funds which invest in fixed-income and equity securities in emerging markets. We use (un)conditional two- and five-factor benchmark models that accommodate the dynamics of returns in emerging markets. We also adopt the cross-sectional bootstrap methodology to distinguish between ‘skill’ and ‘luck’ for individual funds. All the tests are conducted using a comprehensive data set of bond and equity emerging funds over the period of 1989-2011. The risk-adjusted measures of performance are estimated using the least squares method with the Newey-West adjustment for standard errors that are robust to conditional heteroskedasticity and autocorrelation. The performance statistics of the emerging funds before (after) management-related costs are insignificantly positive (significantly negative). They are sensitive to the chosen benchmark model and conditional information improves selection performance. The timing statistics are largely insignificant throughout the sample period and are not sensitive to the benchmark model. Evidence of timing and selecting abilities is obtained in a small number of funds which is not sensitive to the fees structure. We also find evidence that a majority of individual funds provide zero (very few provide positive) abnormal return before fees and a significantly negative return after fees. At the negative end of the tail of performance distribution, our resampling tests fail to reject the role of bad luck in the poor performance of funds and we conclude that most of them are merely ‘unlucky’.

Uma formulação por média-variância multi-período para o erro de rastreamento em carteiras de investimento.

Neste trabalho, deriva-se uma política de escolha ótima baseada na análise de média-variância para o Erro de Rastreamento no cenário Multi-período - ERM -. Referindo-se ao ERM como a diferença entre o capital acumulado pela carteira escolhida e o acumulado pela carteira de um benchmark. Assim, foi aplicada a metodologia abordada por Li-Ng em [24] para a solução analítica, obtendo-se dessa maneira uma generalização do caso uniperíodo introduzido por Roll em [38]. Em seguida, selecionou-se um portfólio do mercado de ações brasileiro baseado no fator de orrelação, e adotou-se como benchmark o índice da bolsa de valores do estado de São Paulo IBOVESPA, além da taxa básica de juros SELIC como ativo de renda fixa. Dois casos foram abordados: carteira composta somente de ativos de risco, caso I, e carteira com um ativo sem risco indexado à SELIC - e ativos do caso I (caso II).

Testing the random walk hypothesis with variance ratio statistics

Mestrado em Finanças

Arvopaperistaminen ja CDO-lainat

Tutkimuksen tavoitteena on tarkastella kansainvälisillä rahoitusmarkkinoilla nopeasti yleistynyttä arvopaperistamista prosessina sekä arvopaperistamalla muodostettuja sijoitustuotteita pääomamarkkinainstrumentteina ja sijoituskohteina. Yksittäisistä arvopaperistamalla luoduista sijoitusinstrumenteista tutkielmassa keskitytään erityisesti collateralized debt obligation -tyyppiin. Tutkimuksen ensimmäisessä osassa selvitetään arvopaperistamistoiminnan perusrakenteita sekä erilaisten arvopaperistamistapojen eroja toisiinsa nähden. Toisessa osassa perehdytään collateralized debt obligaton instrumenttiin, sen ominaispiirteisiin ja eroihin perinteisiin joukkovelkakirjalainoihin ja sijoitusrahastoihin verrattuna. Tutkimuksen kolmannessa osassa selvitetään institutionaalisen sijoittajan kannalta mahdollisuuksia ja ongelmia sijoitettaessa arvopaperistettuihin sijoitusinstrumentteihin. Viimeisessä osassa tarkastellaan arvopaperistettujen sijoitustuotteiden markkinaa yleisesti ja sen aiheuttamien ongelmien vaikutusta koko rahoitusmarkkinoihin.

Pk-yritysten rahoituspalveluiden kehittäminen Varkauden talousalueella

Tässä tutkimuksessa selvitettiin Varkauden talousalueen pk-yritysten rahoituspalveluiden kehitystarpeita. Kuvailevaa tutkimusta käyttämällä selvitettiin mitä ongelmakohtia yritykset näkevät rahaliikenteessään, miten rahoitusrakennetta suunnitellaan ja minkälaisia tuotteita yrityksillä on käytössään. Mittareina tutkimuksessa käytettiin mm. kasvutavoitetta, pääomarakennetta ja tuottovaatimusten muodostamista. Tavoitteena oli tutkia mitkä tekijät vaikuttavat sijoituspäätöksentekoon ja mitä tekijöitä arvostetaan pankista saadussa palvelussa. Tutkimukseen valittiin Varkauden talousalueen suurimmat ja parhaan luottoluokituksen omaavat yritykset. Aineisto kerättiin luomalla sähköinen kyselylomake, joka lähetettiin 48 yritykseen tammikuussa 2009. Tutkimustulosten mukaan yritykset näkivät suurimmat kehitystarpeet sähköisessä taloushallinnossa, eri investointirahoitusvaihtoehdoissa ja julkisten sekä yksityisten rahoittajien yhteistyössä. Parempaa rahoitusneuvontaa kaivattiin investointirahoitukseen ja yrityskauppoihin liittyen. Suurimmalla osalla yrityksistä oli selkeät kasvutavoitteet sekä suunniteltu pääomarakenne. Suurimpia puutteita havaittiin mm. korkosuojaus- ja kassanhallinnan ratkaisuissa. Varainhoidon tuotteista mielenkiintoisimpana nähtiin pääomaturvatut ja kiinteää tuottoa maksavat vaihtoehdot. Sijoituspäätöksiin vaikuttavat paljon pankin luotettavuus sekä toimihenkilön asiantuntemus. Vastaavasti sijoituspäätös voi jäädä tekemättä, mikäli tuote on liian monimutkainen tai prosessi vaatii paljon aikaa ja paneutumista. Pankin palveluissa arvostetaan niin ikään luotettavuutta, helppoa asiointia sekä henkilökohtaista palvelua. Vastaajien koulutustaustalla ei näytä valittujen mittareiden perusteella olevan vaikutusta rahoitusosaamiseen. Alueella rahoitusongelmia kohdanneista yrityksistä lähes kaikki olivat kasvuhakuisia.