Die Elektronisierung der Finanzmärkte ist in den letzten Jahren weit vorangeschritten. Praktisch jede Börse verfügt über ein elektronisches Handelssystem. In diesem Kontext beschreibt der Begriff Algorithmic Trading ein Phänomen, bei dem Computerprogramme den Menschen im Wertpapierhandel ersetzen. Sie helfen dabei Investmententscheidungen zu treffen oder Transaktionen durchzuführen. Algorithmic Trading selbst ist dabei nur eine unter vielen Innovationen, welche die Entwicklung des Börsenhandels geprägt haben. Hier sind z.B. die Erfindung der Telegraphie, des Telefons, des FAX oder der elektronische Wertpapierabwicklung zu nennen. Die Frage ist heute nicht mehr, ob Computerprogramme im Börsenhandel eingesetzt werden. Sondern die Frage ist, wo die Grenze zwischen vollautomatischem Börsenhandel (durch Computer) und manuellem Börsenhandel (von Menschen) verläuft. Bei der Erforschung von Algorithmic Trading wird die Wissenschaft mit dem Problem konfrontiert, dass keinerlei Informationen über diese Computerprogramme zugänglich sind. Die Idee dieser Dissertation bestand darin, dieses Problem zu umgehen und Informationen über Algorithmic Trading indirekt aus der Analyse von (Fonds-)Renditen zu extrahieren. Johannes Gomolka untersucht daher die Forschungsfrage, ob sich Aussagen über computergesteuerten Wertpapierhandel (kurz: Algorithmic Trading) aus der Analyse von (Fonds-)Renditen ziehen lassen. Zur Beantwortung dieser Forschungsfrage formuliert der Autor eine neue Definition von Algorithmic Trading und unterscheidet mit Buy-Side und Sell-Side Algorithmic Trading zwei grundlegende Funktionen der Computerprogramme (die Entscheidungs- und die Transaktionsunterstützung). Für seine empirische Untersuchung greift Gomolka auf das Multifaktorenmodell zur Style-Analyse von Fung und Hsieh (1997) zurück. Mit Hilfe dieses Modells ist es möglich, die Zeitreihen von Fondsrenditen in interpretierbare Grundbestandteile zu zerlegen und den einzelnen Regressionsfaktoren eine inhaltliche Bedeutung zuzuordnen. Die Ergebnisse dieser Dissertation zeigen, dass man mit Hilfe der Style-Analyse Aussagen über Algorithmic Trading aus der Analyse von (Fonds-)Renditen machen kann. Die Aussagen sind jedoch keiner technischen Natur, sondern auf die Analyse von Handelsstrategien (Investment-Styles) begrenzt. / During the last decade the electronic trading on the stock exchanges advanced rapidly. Today almost every exchange is running an electronic trading system. In this context the term algorithmic trading describes a phenomenon, where computer programs are replacing the human trader, when making investment decisions or facilitating transactions. Algorithmic trading itself stands in a row of many other innovations that helped to develop the financial markets technologically (see for example telegraphy, the telephone, FAX or electronic settlement). Today the question is not, whether computer programs are used or not. The question arising is rather, where the border between automatic, computer driven and human trading can be drawn. Conducting research on algorithmic trading confronts scientists always with the problem of limited availability of information. The idea of this dissertation is to circumnavigate this problem and to extract information indirectly from an analysis of a time series of (fund)-returns data. The research question here is: Is it possible to draw conclusions about algorithmic trading from an analysis of (funds-)return data? To answer this question, the author develops a complete definition of algorithmic trading. He differentiates between Buy-Side and Sell-Side algorithmic trading, depending on the functions of the computer programs (supporting investment-decisions or transaction management). Further, the author applies the multifactor model of the style analysis, formely introduced by Fung and Hsieh (1997). The multifactor model allows to separate fund returns into regression factors that can be attributed to different reasons. The results of this dissertation do show that it is possible to draw conclusions about algorithmic trading out of the analysis of funds returns. Yet these conclusions cannot be of technical nature. They rather have to be attributed to investment strategies (investment styles).

Hedge funds are a debated subject in today’s financial industry. During 2008, despite hedge funds absolute return target, the global hedge fund industry showed a negative performance whilst the Swedish hedge fund market performed relatively well in comparison. Many studies have been made investigating the effect on incorporating hedge funds in a traditional portfolio though none focused separately on the Swedish market. In a global perspective it is quite easy to invest in hedge fund portfolios due to the existence of investable indices. To invest on the Swedish market is a more complex matter. SIX Harcourt HFXS Index is a Swedish hedge fund index representing the Swedish hedge fund market though it is not investable. Hence it would be interesting to see if it is possible to create an investable version of SIX Harcourt HFXS. When creating an investable index, several administrative costs will arise and in order to cover these costs it would be interesting to see whether or not it possible to optimize SIX Harcourt HFXS Index in purpose of achieving a outperformance which could cover any administrative costs for setting up the investable version. Also, since the optimized version must replicate the standard SIX Harcourt HFXS Index it must maintain a certain level of correlation. This thesis, which is based on a positivistic epistemology, is built upon a quantitative case study where SIX Harcourt HFXS Index is optimized in purpose of achieving an outperformance in terms of the risk-adjusted return. The optimization uses an adjusted mean-variance methodology and is limited to a maintained correlation above 0,9 towards the standard SIX Harcourt HFXS Index. The optimization is created through the use of an Excel application created by Harcourt Investment Consulting. Also, based on the outperformance by Swedish hedge funds compared to global hedge funds, this study aims to show the effect of incorporating Swedish hedge funds in a traditional portfolio consisting of equities and bonds. This effect is analyzed by the use of several performance-and risk measures. The study shows that it is possible to optimize SIX Harcourt HFXS Index and produce an outperformance of approximately 1,5% per annum with a maintained correlation above 0,9. It also shows that the effect of incorporating Swedish hedge funds to a traditional portfolio is positive in regards to both risk and return.

Bakgrund: De flesta svenskarna sparar i form av värdepapper för att investera sina pengar och få en avkastning. Vilket placeringsalternativ ska de välja mellan investering i traditionella eller speciella fonder? De traditionella fonderna har en relativ avkastning och en stor risk, medan de speciella eller hedgefonderna har en lägre risk och en absolut positiv avkastning oavsett marknadsläge.I denna studie kommer att undersökas om hedgefonders avkastningsmönster är trovärdig, och om deras målsättning har uppnåtts under åtta års period. Syfte: Syftet med denna studie är att undersöka om det finns ett samband mellan olika svenska hedgefonders investeringsstrategier och avkastningsmönster samt undersöka hur dessa hedgefonder skiljer sig från de traditionella fonderna och marknadsindexet. Delsyftet är att studera två olika perioder och urskilja hur fonderna presterar under hög respektive låg konjunktur läge. Metod: Studien är baserad på forskningsstrategin kvantitativa metoden. Sekundär data i form av historiska avkastningssiffror för åttaårsperiod är avhämtad. Olika nyckeltal är valda för uträckningen och analysen. Korrelation, regression och hypotesprövning är de utvalda statistiska metoder som ska leda författaren att analysera och dra slutsats. Slutsats: De hedgefonderna har under de olika perioderna genererat en genomsnittlig positiv avkastning trots de låga värden. De har lägre totalrisk samt marknadsrisk än de traditionella, och en låg korrelation mellan varandra. Vidare har studien visat att räntearbitrage och marknadsneutrala strategier har presterat bäst under låg konjunktur.Sammanfattningsvis hedgefonders avkastningsmönster skiljer sig mellan de olika strategierna och inom varje strategi. Trots på den låga positiva avkastningen anses hedgefonder ett bättre placeringsalternativ än traditionella fonder i tider där marknaden går ner.Avkastningsmönster är en fördom på kortsikt men anses vara en verklighet långsiktigt. / Background: The majority of the Swedish population saves in the form of securities to invest and receive a return. Which investment option should they choose? Should they invest in mutual or special funds? The mutual funds have a relative return and come with a high risk, while the special funds, also known as hedge funds, have an absolute positive return regardless of the market situation and this fund type accounts for a lower risk. This study will investigate whether the return pattern in the hedge funds are valid or not, and if their objective was achieved during this 8 year period. Purpose: The purpose of this study is to investigate if there is a relationship between Swedish hedge funds' investment strategies and their return pattern as well as examining how these hedge funds differ from the mutual funds and the market index. The sub focus is studying two different periods and discerns how the funds perform under high and low economic situation. Methodology: The study is based on results obtained from the research strategy, of a quantitative character. Secondary data in the form of historical returns for the eight-year period is utilized. Different ratios are utilized for calculations and analysis. Correlation, regression, and hypothesis testing are the chosen statistical methods that will lead the author to analyze and draw conclusions. Conclusions: The hedge funds have in the different periods generated an average positive return despite the low values. They have lower total risk and market risk than mutual ones, and a low correlation between each other. Furthermore, the study has shown that rate arbitrage and market neutral strategies perform best under low economy context.In summary, hedge funds' return pattern differs between the diverse strategies and within each strategy. Despite the low positive returns hedge funds are considered a better investment option than mutual funds in times when the market is unstable.The return pattern does not apply to short term investments but it does apply to long term investments.

This thesis consists of four chapters that investigate the performance and capital flows of hedge funds. The first two chapters of the thesis focus on hedge funds that have a pure emerging market strategy. Hedge funds should be well equipped to take advantage of opportunities in emerging markets due to their flexibility in investment strategy and lockup periods. However, the results show that, at the strategy level, emerging market hedge funds have only generated risk-adjusted returns in the most recent years of the sample period. Although emerging market hedge funds have performed poorly in the past, an important finding is the upward trend over time in performance. Given that other hedge fund strategies have a declining trend in alpha during the same period, the emerging market strategy may be where future alpha can be found. The third chapter investigates if there are capacity constraints in hedge fund strategies. The idea is that the alpha opportunities in the markets are limited. Thus, the more capital coming in to hedge funds, the higher competition for the investment opportunities. The findings reveal that mainly strategies that rely on liquidity in their underlying market show evidence of capacity constraints. That is, high past capital flows have a negative effect on current risk-adjusted returns. The last chapter investigates the out-of-sample performance of five allocation models relative to an equally weighted portfolio, when optimizing over hedge fund strategies. The findings show that for hedge fund investors the naive allocation model (1/N) with equal weights in each asset is not an efficient allocation. The risk-adjusted performance can be improved by using an optimal sample-based allocation model. Moreover, significant improvement in out-of-sample alpha can be made if the investor optimizes over non-systematic returns instead of total returns, which is an important results for investors seeking alpha. / <p>Diss. Stockholm : Handelshögskolan, 2008</p>

Made available in DSpace on 2008-05-13T13:47:35Z (GMT). No. of bitstreams: 1 2235.pdf: 287767 bytes, checksum: fa47b402b80359b85773581138f77c99 (MD5) Previous issue date: 2007-05-24 / The recent literature shows that an array of strategies used by hedge funds generates non-linear returns. Following the methodology proposed in Agarwal and Naik (2004), this article shows a number of Brazilian hedge funds presents result that are similar to the Bovespa put and call strategy. Using a factor model, we introduce an index based on the options performance, therefore we can show this especific variable can explain better than the traditional risk factors the non linearity of the hedge funds` returns. / Estudos recentes apontam que diversas estratégias implementadas em hedge funds geram retornos com características não lineares. Seguindo as sugestões encontradas no paper de Agarwal e Naik (2004), este trabalho mostra que uma série de hedge funds dentro da indústria de fundos de investimentos no Brasil apresenta retornos que se assemelham ao de uma estratégia em opções de compra e venda no índice de mercado Bovespa. Partindo de um modelo de fatores, introduzimos um índice referenciado no retorno sobre opções de modo que tal fator possa explicar melhor que os tradicionais fatores de risco a característica não linear dos retornos dos fundos de investimento.

Submitted by ANDERSON TEIXEIRA (andisu_7@hotmail.com) on 2014-08-28T23:41:37Z No. of bitstreams: 1 Dissertacao Final.pdf: 2749375 bytes, checksum: aeb92d2552a8d73a4a238d90bce0e3af (MD5) / Rejected by JOANA MARTORINI (joana.martorini@fgv.br), reason: Anderson, o titulo "resumo" e "Abstrat" deverá ser em letra maiúscula, por gentileza ajustar esse procedimento. Aguardo. on 2014-08-29T20:14:52Z (GMT) / Submitted by ANDERSON TEIXEIRA (andisu_7@hotmail.com) on 2014-08-29T20:57:35Z No. of bitstreams: 1 Dissertacao Final.pdf: 2750834 bytes, checksum: b056c57b7f07fe0bfb7a7aff0ba04ff5 (MD5) / Rejected by JOANA MARTORINI (joana.martorini@fgv.br), reason: Anderson, Esta faltando a pagina da assinatura dos professores. Seu prazo para a entrega da versão final expira hoje 01/09/2014. Aguardo a correção. on 2014-09-01T12:24:23Z (GMT) / Submitted by ANDERSON TEIXEIRA (andisu_7@hotmail.com) on 2014-09-01T15:04:36Z No. of bitstreams: 1 Dissertacao Final.pdf: 2752315 bytes, checksum: 1f4757805c3cf85bc5bd201146f9b6cb (MD5) / Rejected by JOANA MARTORINI (joana.martorini@fgv.br), reason: Anderson, A pagina das assinaturas não está nos padrões adequados. on 2014-09-01T15:09:53Z (GMT) / Submitted by ANDERSON TEIXEIRA (andisu_7@hotmail.com) on 2014-09-01T20:00:48Z No. of bitstreams: 1 Dissertacao Final.pdf: 2753769 bytes, checksum: 5b3fdf9115d83d697763f83b0a85dad9 (MD5) / Approved for entry into archive by Vera Lúcia Mourão (vera.mourao@fgv.br) on 2014-09-01T20:25:15Z (GMT) No. of bitstreams: 1 Dissertacao Final.pdf: 2753769 bytes, checksum: 5b3fdf9115d83d697763f83b0a85dad9 (MD5) / Made available in DSpace on 2014-09-01T20:28:24Z (GMT). No. of bitstreams: 1 Dissertacao Final.pdf: 2753769 bytes, checksum: 5b3fdf9115d83d697763f83b0a85dad9 (MD5) Previous issue date: 2014-08-01 / Leverage in hedge funds has been a matter of concern for investors and scholars in past years. Recent examples of such strategies have proved advantageous in periods of low uncertainty in the economy, but disastrous in times of crisis. In the field of quantitative finance, researchers have been trying to find a level of leverage that optimizes the return of an investment given the risk. In the literature, studies have been more qualitative than the quantitative , and have made little use of computational methods. One way to assess whether a leverage strategy earns higher returns than another is to define the objective function that relates risk and return for each strategy, find the constraints for the problem and solve it numerically through Monte Carlo simulations. This dissertation has adopted this approach to treat the investment in a long-short equity strategy in different scenarios: different forms of leverage, stock prices dynamics and levels of correlation between these prices. Dynamics simulations of invested capital due to changes in stock prices over time were made. Some criteria of credit guarantee, the possibility of buying and selling stocks during the investment period and the risk profile of the investor were considered in the simulations. Finally, we studied the distribution of the return on investment for different levels of leverage and it was possible to quantify which of these levels is more advantageous to the investment strategy given the constraints of risk. / Alavancagem em hedge funds tem preocupado investidores e estudiosos nos últimos anos. Exemplos recentes de estratégias desse tipo se mostraram vantajosos em períodos de pouca incerteza na economia, porém desastrosos em épocas de crise. No campo das finanças quantitativas, tem-se procurado encontrar o nível de alavancagem que otimize o retorno de um investimento dado o risco que se corre. Na literatura, os estudos têm se mostrado mais qualitativos do que quantitativos e pouco se tem usado de métodos computacionais para encontrar uma solução. Uma forma de avaliar se alguma estratégia de alavancagem aufere ganhos superiores do que outra é definir uma função objetivo que relacione risco e retorno para cada estratégia, encontrar as restrições do problema e resolvê-lo numericamente por meio de simulações de Monte Carlo. A presente dissertação adotou esta abordagem para tratar o investimento em uma estratégia long-short em um fundo de investimento de ações em diferentes cenários: diferentes formas de alavancagem, dinâmicas de preço das ações e níveis de correlação entre esses preços. Foram feitas simulações da dinâmica do capital investido em função das mudanças dos preços das ações ao longo do tempo. Considerou-se alguns critérios de garantia de crédito, assim como a possibilidade de compra e venda de ações durante o período de investimento e o perfil de risco do investidor. Finalmente, estudou-se a distribuição do retorno do investimento para diferentes níveis de alavancagem e foi possível quantificar qual desses níveis é mais vantajoso para a estratégia de investimento dadas as restrições de risco.

Submitted by Maria Manuela de Orleans e Bragança (manubraganca@gmail.com) on 2015-07-22T20:40:40Z No. of bitstreams: 1 Dissertacao_MMOB.pdf: 7738596 bytes, checksum: e3007f71d369f339e417608a7d909a31 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2015-07-23T19:16:14Z (GMT) No. of bitstreams: 1 Dissertacao_MMOB.pdf: 7738596 bytes, checksum: e3007f71d369f339e417608a7d909a31 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2015-07-24T19:03:54Z (GMT) No. of bitstreams: 1 Dissertacao_MMOB.pdf: 7738596 bytes, checksum: e3007f71d369f339e417608a7d909a31 (MD5) / Made available in DSpace on 2015-07-24T19:04:18Z (GMT). No. of bitstreams: 1 Dissertacao_MMOB.pdf: 7738596 bytes, checksum: e3007f71d369f339e417608a7d909a31 (MD5) Previous issue date: 2015-05-25 / This work aims to verify if brazilian Hedge Funds generate significant positive alphas, that is, if managers have skill and contribute positively to the return of their funds during the period 2003 through 2013. To find the alphas, we estimate a sevenfactor model based, mainly, on the work of Edwards and Caglayan (2001), including an iliquidity factor to the model. We found that, on average, these funds earn negative alphas. However, despite the fact that the percentage of funds with positive alpha is low, their magnitude is significant. The results differ widely by Anbima classification and by sample. We also verify if there is performance persistence over time by using a non-parametric model based on contingency tables. We did not find evidence of persistence, not even when the funds were separated by classification. / O objetivo deste trabalho é verificar se os fundos de investimento Multimercado no Brasil geram alphas significativamente positivos, ou seja, se os gestores possuem habilidade e contribuem positivamente para o retorno de seus fundos. Para calcular o alpha dos fundos, foi utilizado um modelo com sete fatores, baseado, principalmente, em Edwards e Caglayan (2001), com a inclusão do fator de iliquidez de uma ação. O período analisado vai de 2003 a 2013. Encontramos que, em média, os fundos multimercado geram alpha negativo. Porém, apesar de o percentual dos que geram interceptos positivos ser baixo, a magnitude dos mesmos é expressiva. Os resultados diferem bastante por classificação Anbima e por base de dados utilizada. Verifica-se também se a performance desses fundos é persistente através de um modelo não-paramétrico baseado em tabelas de contingência. Não encontramos evidências de persistência, nem quando separamos os fundos por classificação.

Submitted by Laura Simonsen Leal (arula@fgvmail.br) on 2016-06-22T12:59:34Z No. of bitstreams: 1 laura_tese14(final).pdf: 1036208 bytes, checksum: eac8007047195b00593f30884e72a3e2 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2016-06-22T13:18:16Z (GMT) No. of bitstreams: 1 laura_tese14(final).pdf: 1036208 bytes, checksum: eac8007047195b00593f30884e72a3e2 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2016-06-29T13:38:50Z (GMT) No. of bitstreams: 1 laura_tese14(final).pdf: 1036208 bytes, checksum: eac8007047195b00593f30884e72a3e2 (MD5) / Made available in DSpace on 2016-06-29T13:39:56Z (GMT). No. of bitstreams: 1 laura_tese14(final).pdf: 1036208 bytes, checksum: eac8007047195b00593f30884e72a3e2 (MD5) Previous issue date: 2016-03-21 / The main purpose of this paper is to propose a methodology to obtain a hedge fund tail risk measure. Our measure builds on the methodologies proposed by Almeida and Garcia (2015) and Almeida, Ardison, Garcia, and Vicente (2016), which rely in solving dual minimization problems of Cressie Read discrepancy functions in spaces of probability measures. Due to the recently documented robustness of the Hellinger estimator (Kitamura et al., 2013), we adopt within the Cressie Read family, this specific discrepancy as loss function. From this choice, we derive a minimum Hellinger risk-neutral measure that correctly prices an observed panel of hedge fund returns. The estimated risk-neutral measure is used to construct our tail risk measure by pricing synthetic out-of-the-money put options on hedge fund returns of ten specific categories. We provide a detailed description of our methodology, extract the aggregate Tail risk hedge fund factor for Brazilian funds, and as a by product, a set of individual Tail risk factors for each specific hedge fund category.

Made available in DSpace on 2010-04-20T20:51:08Z (GMT). No. of bitstreams: 3 154942.pdf.jpg: 18952 bytes, checksum: 23e574558dce7d0f2a386af838a81bbe (MD5) 154942.pdf: 506907 bytes, checksum: 04eae2214c9bdd57e0cbeb2bb4459728 (MD5) 154942.pdf.txt: 81444 bytes, checksum: 047630fc773c90c68757120835adddab (MD5) Previous issue date: 2006-02-15T00:00:00Z / Mutual funds performance evaluation is, traditionally, made using Sharpe Ratio that considers only the first and the second moments of the return distribution (mean and variance), but it requires assumptions on the normality of the returns distribution and on the investor’s utility function as quadratic. However, it is well known that a quadratic utility function is inconsistent with investor behavior and some funds, like hedge funds, have returns distributions far from a normal distribution Keating and Shadwick (2002a, 2002b) proposed a new measure called Omega that incorporates all the moments of the distribution, and has the advantage of requiring no assumptions on the returns distribution or on the utility function of a risk averse investor. The purpose of this work is to verify if this measure has a greater forecast power than other performance measures, like Sharpe and Sortino Ratios. The empiric study indicated that Omega measure makes a ranking, most of the time, different from the other measures. Despite the portfolios constructed with Omega have had an average return greater than the average return of the portfolios constructed using the other measures, in almost all the tests, this difference of averages of returns was significant only in some cases. In spite of this, there is a light indication that Omega measure is the most appropriate for the use of investors when is made the performance evaluation of mutual funds. / A avaliação de desempenho de fundos de investimentos é, tradicionalmente, realizada utilizando-se o Índice de Sharpe, que leva em consideração apenas os dois primeiros momentos da distribuição de retornos (média e variância), assumindo as premissas de normalidade da distribuição de retornos e função quadrática de utilidade do investidor. Entretanto, é sabido que uma função de utilidade quadrática é inconsistente com o comportamento do investidor e que as distribuições de retornos de determinados fundos, como os hedge funds, estão longe de serem uma distribuição normal. Keating e Shadwick (2002a, 2002b) introduziram uma nova medida denominada Ômega que incorpora todos os momentos da distribuição, e tem a vantagem de não ser necessário fazer premissas sobre a distribuição dos retornos nem da função de utilidade de um investidor avesso ao risco. O objetivo deste trabalho é verificar se esta medida Ômega tem um poder de previsibilidade maior que outras medidas de avaliação de desempenho, como o Índice de Sharpe e o Índice de Sortino. O estudo empírico indicou que a medida Ômega gera um ranqueamento, na maioria das vezes, relativamente diferente das outras medidas testadas. Apesar das carteiras formadas com base na medida Ômega terem gerado um retorno médio maior que o retorno médio das carteiras formadas pelas outras medidas em praticamente todos os testes, esta diferença entre as médias dos retornos só foi significativa em alguns casos. Mesmo assim, há uma leve indicação de que a medida Ômega é a mais apropriada para utilização do investidor ao fazer a avaliação de desempenho dos fundos de investimentos.

The main aim of this graduation theses was to characterize the bad debt and is then analyzed in the reporting entity. The most important part of this graduation theses is aplication of lawful rectifying item and amortization of debts in practice and after that resulting effect on tax base and income range. After a complete analysis and mapping of debts can be stated that the company has an overview of overdue debts, records all borrowers and applied hedge funds. Also accounting entity should not fear to make up rectifying items to overdue debts because if they will be in step with law No. 593/1992 Sb. about backlog for finding the base of income tax it can have the only the positive impact for the base tax and high of tax as well.