The theoretical and practical importance of working capital management (Sharma & Kumar, 2011) and its strong link with the firm’s financial stability (Wang et al., 2020, p. 2; Kamel 2015, p. 35) make it one of the most important functional areas of corporate finance. Although literature and the corporate world recognize corporate sustainability mainly through corporate social responsibility (CSR), ESG emerged in the recent past and quickly made its strong footfall as an indicator of corporate sustainability. Literature is evident that studies have mainly focused on studying both working capital management (WCM) and corporate sustainability in relation to firm financial performance (FFP), while scant research has assessed the relationship between WCM and corporate sustainability (Barros et al., 2022, p. 1). The primary purpose of this study is to examine the relationship between corporate sustainability and WCM in the Swedish market to fill this gap in the literature and contribute to the existing body of knowledge on the subject matter through its findings, especially with reference to the use of ESG rating scores.  The relationship was examined through the quantitative approach. Sample data was comprised of 418 firm-year observations retrieved from Refinitiv Eikon on 38 firms listed on Nasdaq Stockholm between 2010-2020. ESG rating scores were used to measure corporate sustainability, while two proxy measures; cash conversion cycle (CCC) and working capital requirements (WCR) were for WCM. Stata software was used to find the results of the study by running the pertinent regression models using robust standard errors. Various statistical tests were performed to satisfy all the OLS classical assumptions. The empirical results of our study revealed mixed findings. The findings connected to CCC indicated no statistically significant relationship between ESG scores and CCC which allowed us to conclude that sustainable firms in Sweden do not operate with a shorter CCC (or cash cycle). The findings connected to WCR indicated a significant negative relationship of WCR with the environmental and social score, however no relationship with ESG and governance scores. These results allowed us to conclude that sustainable firms in Sweden are able to operate with WCR (or cash requirements), however, these effects entirely come from the environmental and social pillars, which indirectly implies more sustainable firms can operate with lower levels of debt than their counterparts. Since we found no significant effect from the ESG scores for both CCC and WCR, our findings were partially in line with the shareholder theory, the stakeholders’ theory, and the legitimacy theory we used as theoretical references in our study. The overall findings of our study allow us to suggest sustainable firms in Sweden reconsider their working capital policy decisions to achieve working capital efficiency (a shorter cash cycle) while staying aligned with their sustainability goals.

Det ökade fokuset på hållbarhet har gjort miljö-, social- och styrningsfaktorer (ESG) till kritiska faktorer när man fattar investeringsbeslut. Denna studie beskriver och analyserar sambandet mellan ESG-screening och finansiella prestandan hos portföljer inom STOXX Europe 600-indexet mellan 2019 och 2023. Studien tillämpar en kvantitativ ram för att analysera tre portföljer, var och en med olika tröskelvärden för ESG-screening, och undersöker om högre ESG-rating korrelerar med högre avkastning. Genom att tillämpa CAPM tillsammans med Fama Frenchs trefaktormodell samt prestationsmått som Sharpekvoten, Beta och Jensens Alfa, syftar studien till att ge en fördjupad jämförelse av portföljer med olika ESG-kriterier mot det europeiska aktieindexet. Resultaten visar att ESG-screenade portföljer inom STOXX Europe 600 inte överträffade indexet i hänsyn till deras riskjusterade avkastning. Denna studie bidrar till diskussionen om de ekonomiska fördelarna med hållbara investeringar, genom att visa att även om ESG-screenade portföljerna har högre hållbarhetsgrad, leder de inte nödvändigtvis till förbättrade finansiella resultat på de europeiska marknaderna. / The increasing focus on sustainability has made Environmental, Social and Governance (ESG) factors critical elements when making investment decisions. This study evaluates the relationship of ESG screening and the financial performance of portfolios within the STOXX Europe 600 index between 2019 and 2023. Using a quantitative framework, this study analyzed three portfolios – each with different ESG-screening thresholds – to investigate whether higher ESG-rating correlates with higher financial returns. By applying CAPM and the Fama-French three-factor model along with performance metrics such as the Sharpe ratio, Beta and Jensen’s Alpha, the study aims to provide an in-depth comparison of portfolios with ESG-criteria against the European stock index. The results indicate that ESG-screened portfolios within STOXX Europe 600 did not outperform the unscreened index, in terms of risk-adjusted returns.  This study adds to the ongoing discussion about the financial benefits of sustainable investing by showing that whilst ESG-screened portfolios have higher sustainability measures, they do not necessarily lead to improved financial results in the European markets.

It is generally acknowledged that the share price of listed companies is not usually a true reflection of the value imbedded in the said companies. The main purpose of this study is to explore the correlation between selected performance measurement tools, namely Return on Equity (ROE) and Economic Value Added (EVA®), and the share price of companies listed on the Johannesburg Stock Exchange. The study is a quantitative one as it uses data extracted from McGregor BFA database to investigate the relationship between the variables studied. Correlation and linear regression analyses were used in determining such relationships. This study found that there is a synergy in using ROE and EVA® as performance measurement tools and that their interaction explains 8.06% of the movement in the share price of listed companies, all things being equal. Hence it is recommended to identify and study possible synergies between other performance measurement tools. / Management Accounting / M. Phil. (Accounting Sciences)

本研究以台灣證券交易所1995年2月至2008年所有上市公司的資料為樣本，比較Jegadeesh and Titman (1993)提出的價格動能策略、Moskowitz and Grinblatt (1999)提出的產業動能策略以及George and Hwang (2004)的52週高價動能策略之間的獲利能力。研究分別進行了月平均報酬比較、元月效果檢視、配對比較、迴歸分析以及加入定錨效果的強韌性檢視。 / 結果發現，在持有期為6個月下，只有52週高價動能策略的獲利能力為顯著且報酬率最佳，月平均報酬率達1.12%，且其對報酬率的解釋能力無法被價格動能策略或產業動能策略給替代，然而52週高價動能策略卻能部分替代價格及產業動能策略的解釋能力，顯示52週高價動能策略相較於價格及產業動能策略而言有優勢性。本研究也發現動能策略投資組合的報酬率存在元月效應，無論是哪一種動能策略的贏家或輸家，在一月份的報酬皆大幅顯著的高於其他11個月份，顯示元月效應的確存在且會影響分析的結果。 / 而最後在迴歸分析裡，結果顯示在控制了公司市值、前一期報酬率、各動能投資策略的影響後，無論是全樣本或一月份除外，依然只有52週高價動能策略的獲利能力是顯著的。然而在經過F-F三因子模型風險調整後，各動能策略投資組合的報酬率皆下降，其中價格動能策略投資組合有顯著的負報酬率，而產業動能策略與52週動能策略投資組合則有不顯著的負報酬率，顯示動能投資策略可能暴露在市場風險下，投資人在採用動能投資策略進行投資決策時應謹慎對待。而強韌性的結果顯示加入定錨效果指標後，其對本研究之結果無顯著的改變。

Subprime residential mortgage loan securitization and its associated risks have been a major topic of discussion since the onset of the subprime mortgage crisis (SMC) in 2007. In this regard, the thesis addresses the issues of subprime residential mortgage loan (RML) securitization in discrete-, continuous-and discontinuous-time and their connections with the SMC. In this regard, the main issues to be addressed are discussed in Chapters 2, 3 and 4. In Chapter 2, we investigate the risk allocation choices of an investing bank (IB) that has to decide between risky securitized subprime RMLs and riskless Treasuries. This issue is discussed in a discrete-time framework with IB being considered to be regret- and risk-averse before and during the SMC, respectively. We conclude that if IB takes regret into account it will be exposed to higher risk when the difference between the expected returns on securitized subprime RMLs and Treasuries is small. However, there is low risk exposure when this difference is high. Furthermore, we assess how regret can influence IB's view - as a swap protection buyer - of the rate of return on credit default swaps (CDSs), as measured by the premium based on default swap spreads. We find that before the SMC, regret increases IB's willingness to pay lower premiums for CDSs when its securitized RML portfolio is considered to be safe. On the other hand, both risk- and regret-averse IBs pay the same CDS premium when their securitized RML portfolio is considered to be risky. Chapter 3 solves a stochastic optimal credit default insurance problem in continuous-time that has the cash outflow rate for satisfying depositor obligations, the investment in securitized loans and credit default insurance as controls. As far as the latter is concerned, we compute the credit default swap premium and accrued premium by considering the credit rating of the securitized mortgage loans. In Chapter 4, we consider a problem of IB investment in subprime residential mortgage-backed securities (RMBSs) and Treasuries in discontinuous-time. In order to accomplish this, we develop a Levy process-based model of jump diffusion-type for IB's investment in subprime RMBSs and Treasuries. This model incorporates subprime RMBS losses which can be associated with credit risk. Furthermore, we use variance to measure such risk, and assume that the risk is bounded by a certain constraint. We are now able to set-up a mean-variance optimization problem for IB's investment which determines the optimal proportion of funds that needs to be invested in subprime RMBSs and Treasuries subject to credit risk measured by the variance of IE's investment. In the sequel, we also consider a mean swaps-at-risk (SaR) optimization problem for IB's investment which determines the optimal portfolio which consists of subprime RMBSs and Treasuries subject to the protection by CDSs required against the possible losses. In this regard, we define SaR as indicative to IB on how much protection from swap protection seller it must have in order to cover the losses that might occur from credit events. Moreover, SaR is expressed in terms of Value-at-Risk (VaR). Finally, Chapter 5 provides an analysis of discrete-, continuous- and discontinuous-time models for subprime RML securitization discussed in the aforementioned chapters and their connections with the SMC. The work presented in this thesis is based on 7 peer-reviewed international journal articles (see [25], [44], [45], [46], [47], [48] and [55]), 4 peer-reviewed chapters in books (see [42], [50j, [51J and [52]) and 2 peer-reviewed conference proceedings papers (see [11] and [12]). Moreover, the article [49] is currently being prepared for submission to an lSI accredited journal. / Thesis (Ph.D. (Applied Mathematics))--North-West University, Potchefstroom Campus, 2010.

Many analysts believe that problems in the U.S. housing market initiated the 2008–2010 global financial crisis. In this regard, the subprime mortgage crisis (SMC) shook the foundations of the financial industry by causing the failure of many iconic Wall Street investment banks and prominent depository institutions. This crisis stymied credit extension to households and businesses thus creating credit crunches and, ultimately, a global recession. This thesis specifically discusses the SMC and its components, causes, consequences and cures in relation to subprime mortgages, securitization, as well as data. In particular, the SMC has highlighted the fact that risk, credit ratings, profit and valuation as well as capital regulation are important banking considerations. With regard to risk, the thesis discusses credit (including counterparty), market (including interest rate, basis, prepayment, liquidity and price), tranching (including maturity mismatch and synthetic), operational (including house appraisal, valuation and compensation) and systemic (including maturity transformation) risks. The thesis introduces the IDIOM hypothesis that postulates that the SMC was largely caused by the intricacy and design of subprime agents, mortgage origination and securitization that led to information problems (loss, asymmetry and contagion), valuation opaqueness and ineffective risk mitigation. It also contains appropriate examples, discussions, timelines as well as appendices about the main results on the aforementioned topics. Numerous references point to the material not covered in the thesis, and indicate some avenues for further research. In the thesis, the primary subprime agents that we consider are house appraisers (HAs), mortgage brokers (MBs), mortgagors (MRs), servicers (SRs), SOR mortgage insurers (SOMIs), trustees, underwriters, credit rating agencies (CRAs), credit enhancement providers (CEPs) and monoline insurers (MLIs). Furthermore, the banks that we study are subprime interbank lenders (SILs), subprime originators (SORs), subprime dealer banks (SDBs) and their special purpose vehicles (SPVs) such as Wall Street investment banks and their special structures as well as subprime investing banks (SIBs). The main components of the SMC are MRs, the housing market, SDBs/hedge funds/money market funds/SIBs, the economy as well as the government (G) and central banks. Here, G either plays a regulatory or policymaking role. Most of the aforementioned agents and banks are assumed to be risk neutral with SOR being the exception since it can be risk (and regret) averse on occasion. The main aspects of the SMC - subprime mortgages, securitization, as well as data - that we cover in this thesis and the chapters in which they are found are outlined below. In Chapter 2, we discuss the dynamics of subprime SORs' risk and profit as well as their valuation under mortgage origination. In particular, we model subprime mortgages that are able to fully amortize, voluntarily prepay or default and construct a discrete–time model for SOR risk and profit incorporating costs of funds and mortgage insurance as well as mortgage losses. In addition, we show how high loan–to–value ratios due to declining housing prices curtailed the refinancing of subprime mortgages, while low ratios imply favorable house equity for subprime MRs. Chapter 3 investigates the securitization of subprime mortgages into structured mortgage products such as subprime residential mortgage–backed securities (RMBSs) and collateralized debt obligations (CDOs). In this regard, our discussions focus on information, risk and valuation as well as the role of capital under RMBSs and RMBS CDOs. Our research supports the view that incentives to monitor mortgages has been all but removed when changing from a traditional mortgage model to a subprime mortgage model. In the latter context, we provide formulas for IB's profit and valuation under RMBSs and RMBS CDOs. This is illustrated via several examples. Chapter 3 also explores the relationship between mortgage securitization and capital under Basel regulation and the SMC. This involves studying bank credit and capital under the Basel II paradigm where risk–weights vary. Further issues dealt with are the quantity and pricing of RMBSs, RMBS CDOs as well as capital under Basel regulation. Furthermore, we investigate subprime RMBSs and their rates with slack and holding constraints. Also, we examine the effect of SMC–induced credit rating shocks in future periods on subprime RMBSs and RMBS payout rates. A key problem is whether Basel capital regulation exacerbated the SMC. Very importantly, the thesis answers this question in the affirmative. Chapter 4 explores issues related to subprime data. In particular, we present mortgage and securitization level data and forge connections with the results presented in Chapters 2 and 3. The work presented in this thesis is based on 2 peer–reviewed chapters in books (see [99] and [104]), 2 peer–reviewed international journal articles (see [48] and [101]), and 2 peer–reviewed conference proceeding papers (see [102] and [103]). / Thesis (Ph.D. (Applied Mathematics))--North-West University, Potchefstroom Campus, 2011.

Many analysts believe that problems in the U.S. housing market initiated the 2008–2010 global financial crisis. In this regard, the subprime mortgage crisis (SMC) shook the foundations of the financial industry by causing the failure of many iconic Wall Street investment banks and prominent depository institutions. This crisis stymied credit extension to households and businesses thus creating credit crunches and, ultimately, a global recession. This thesis specifically discusses the SMC and its components, causes, consequences and cures in relation to subprime mortgages, securitization, as well as data. In particular, the SMC has highlighted the fact that risk, credit ratings, profit and valuation as well as capital regulation are important banking considerations. With regard to risk, the thesis discusses credit (including counterparty), market (including interest rate, basis, prepayment, liquidity and price), tranching (including maturity mismatch and synthetic), operational (including house appraisal, valuation and compensation) and systemic (including maturity transformation) risks. The thesis introduces the IDIOM hypothesis that postulates that the SMC was largely caused by the intricacy and design of subprime agents, mortgage origination and securitization that led to information problems (loss, asymmetry and contagion), valuation opaqueness and ineffective risk mitigation. It also contains appropriate examples, discussions, timelines as well as appendices about the main results on the aforementioned topics. Numerous references point to the material not covered in the thesis, and indicate some avenues for further research. In the thesis, the primary subprime agents that we consider are house appraisers (HAs), mortgage brokers (MBs), mortgagors (MRs), servicers (SRs), SOR mortgage insurers (SOMIs), trustees, underwriters, credit rating agencies (CRAs), credit enhancement providers (CEPs) and monoline insurers (MLIs). Furthermore, the banks that we study are subprime interbank lenders (SILs), subprime originators (SORs), subprime dealer banks (SDBs) and their special purpose vehicles (SPVs) such as Wall Street investment banks and their special structures as well as subprime investing banks (SIBs). The main components of the SMC are MRs, the housing market, SDBs/hedge funds/money market funds/SIBs, the economy as well as the government (G) and central banks. Here, G either plays a regulatory or policymaking role. Most of the aforementioned agents and banks are assumed to be risk neutral with SOR being the exception since it can be risk (and regret) averse on occasion. The main aspects of the SMC - subprime mortgages, securitization, as well as data - that we cover in this thesis and the chapters in which they are found are outlined below. In Chapter 2, we discuss the dynamics of subprime SORs' risk and profit as well as their valuation under mortgage origination. In particular, we model subprime mortgages that are able to fully amortize, voluntarily prepay or default and construct a discrete–time model for SOR risk and profit incorporating costs of funds and mortgage insurance as well as mortgage losses. In addition, we show how high loan–to–value ratios due to declining housing prices curtailed the refinancing of subprime mortgages, while low ratios imply favorable house equity for subprime MRs. Chapter 3 investigates the securitization of subprime mortgages into structured mortgage products such as subprime residential mortgage–backed securities (RMBSs) and collateralized debt obligations (CDOs). In this regard, our discussions focus on information, risk and valuation as well as the role of capital under RMBSs and RMBS CDOs. Our research supports the view that incentives to monitor mortgages has been all but removed when changing from a traditional mortgage model to a subprime mortgage model. In the latter context, we provide formulas for IB's profit and valuation under RMBSs and RMBS CDOs. This is illustrated via several examples. Chapter 3 also explores the relationship between mortgage securitization and capital under Basel regulation and the SMC. This involves studying bank credit and capital under the Basel II paradigm where risk–weights vary. Further issues dealt with are the quantity and pricing of RMBSs, RMBS CDOs as well as capital under Basel regulation. Furthermore, we investigate subprime RMBSs and their rates with slack and holding constraints. Also, we examine the effect of SMC–induced credit rating shocks in future periods on subprime RMBSs and RMBS payout rates. A key problem is whether Basel capital regulation exacerbated the SMC. Very importantly, the thesis answers this question in the affirmative. Chapter 4 explores issues related to subprime data. In particular, we present mortgage and securitization level data and forge connections with the results presented in Chapters 2 and 3. The work presented in this thesis is based on 2 peer–reviewed chapters in books (see [99] and [104]), 2 peer–reviewed international journal articles (see [48] and [101]), and 2 peer–reviewed conference proceeding papers (see [102] and [103]). / Thesis (Ph.D. (Applied Mathematics))--North-West University, Potchefstroom Campus, 2011.

Subprime residential mortgage loan securitization and its associated risks have been a major topic of discussion since the onset of the subprime mortgage crisis (SMC) in 2007. In this regard, the thesis addresses the issues of subprime residential mortgage loan (RML) securitization in discrete-, continuous-and discontinuous-time and their connections with the SMC. In this regard, the main issues to be addressed are discussed in Chapters 2, 3 and 4. In Chapter 2, we investigate the risk allocation choices of an investing bank (IB) that has to decide between risky securitized subprime RMLs and riskless Treasuries. This issue is discussed in a discrete-time framework with IB being considered to be regret- and risk-averse before and during the SMC, respectively. We conclude that if IB takes regret into account it will be exposed to higher risk when the difference between the expected returns on securitized subprime RMLs and Treasuries is small. However, there is low risk exposure when this difference is high. Furthermore, we assess how regret can influence IB's view - as a swap protection buyer - of the rate of return on credit default swaps (CDSs), as measured by the premium based on default swap spreads. We find that before the SMC, regret increases IB's willingness to pay lower premiums for CDSs when its securitized RML portfolio is considered to be safe. On the other hand, both risk- and regret-averse IBs pay the same CDS premium when their securitized RML portfolio is considered to be risky. Chapter 3 solves a stochastic optimal credit default insurance problem in continuous-time that has the cash outflow rate for satisfying depositor obligations, the investment in securitized loans and credit default insurance as controls. As far as the latter is concerned, we compute the credit default swap premium and accrued premium by considering the credit rating of the securitized mortgage loans. In Chapter 4, we consider a problem of IB investment in subprime residential mortgage-backed securities (RMBSs) and Treasuries in discontinuous-time. In order to accomplish this, we develop a Levy process-based model of jump diffusion-type for IB's investment in subprime RMBSs and Treasuries. This model incorporates subprime RMBS losses which can be associated with credit risk. Furthermore, we use variance to measure such risk, and assume that the risk is bounded by a certain constraint. We are now able to set-up a mean-variance optimization problem for IB's investment which determines the optimal proportion of funds that needs to be invested in subprime RMBSs and Treasuries subject to credit risk measured by the variance of IE's investment. In the sequel, we also consider a mean swaps-at-risk (SaR) optimization problem for IB's investment which determines the optimal portfolio which consists of subprime RMBSs and Treasuries subject to the protection by CDSs required against the possible losses. In this regard, we define SaR as indicative to IB on how much protection from swap protection seller it must have in order to cover the losses that might occur from credit events. Moreover, SaR is expressed in terms of Value-at-Risk (VaR). Finally, Chapter 5 provides an analysis of discrete-, continuous- and discontinuous-time models for subprime RML securitization discussed in the aforementioned chapters and their connections with the SMC. The work presented in this thesis is based on 7 peer-reviewed international journal articles (see [25], [44], [45], [46], [47], [48] and [55]), 4 peer-reviewed chapters in books (see [42], [50j, [51J and [52]) and 2 peer-reviewed conference proceedings papers (see [11] and [12]). Moreover, the article [49] is currently being prepared for submission to an lSI accredited journal. / Thesis (Ph.D. (Applied Mathematics))--North-West University, Potchefstroom Campus, 2010.

It is generally acknowledged that the share price of listed companies is not usually a true reflection of the value imbedded in the said companies. The main purpose of this study is to explore the correlation between selected performance measurement tools, namely Return on Equity (ROE) and Economic Value Added (EVA®), and the share price of companies listed on the Johannesburg Stock Exchange. The study is a quantitative one as it uses data extracted from McGregor BFA database to investigate the relationship between the variables studied. Correlation and linear regression analyses were used in determining such relationships. This study found that there is a synergy in using ROE and EVA® as performance measurement tools and that their interaction explains 8.06% of the movement in the share price of listed companies, all things being equal. Hence it is recommended to identify and study possible synergies between other performance measurement tools. / Management Accounting / M. Phil. (Accounting Sciences)

Submitted by Catarino Lacerda e Silva (catarinolacerda@gmail.com) on 2018-09-18T12:35:32Z No. of bitstreams: 1 Dissertação - Catarino Lacerda e Silva - ESTRATÉGIAS DE INVESTIMENTOS EM AÇÕES .pdf: 1217319 bytes, checksum: 472a152e89a76ba49bfdb192b147d76f (MD5) / Rejected by Thais Oliveira (thais.oliveira@fgv.br), reason: Boa tarde, Catarino, Para que possamos aprovar sua Dissertação, serão necessárias as seguintes alterações: - A numeração de páginas começa na capa, porém deve aparecer A PARTIR da "Introdução" (pág 12) - A Ficha catalográfica deve conter o "texto" que existe fora do quadro, exatamente como foi enviado. Por gentileza, alterar e submeter novamente. Obrigada. on 2018-09-18T21:10:24Z (GMT) / Submitted by Catarino Lacerda e Silva (catarinolacerda@gmail.com) on 2018-09-19T10:54:33Z No. of bitstreams: 1 Dissertação - Catarino Lacerda e Silva - ESTRATÉGIAS DE INVESTIMENTOS EM AÇÕES .pdf: 1219830 bytes, checksum: a2aa93b6d34310ed33ec91af8f364412 (MD5) / Approved for entry into archive by Joana Martorini (joana.martorini@fgv.br) on 2018-09-19T14:33:48Z (GMT) No. of bitstreams: 1 Dissertação - Catarino Lacerda e Silva - ESTRATÉGIAS DE INVESTIMENTOS EM AÇÕES .pdf: 1219830 bytes, checksum: a2aa93b6d34310ed33ec91af8f364412 (MD5) / Approved for entry into archive by Suzane Guimarães (suzane.guimaraes@fgv.br) on 2018-09-19T17:39:21Z (GMT) No. of bitstreams: 1 Dissertação - Catarino Lacerda e Silva - ESTRATÉGIAS DE INVESTIMENTOS EM AÇÕES .pdf: 1219830 bytes, checksum: a2aa93b6d34310ed33ec91af8f364412 (MD5) / Made available in DSpace on 2018-09-19T17:39:21Z (GMT). No. of bitstreams: 1 Dissertação - Catarino Lacerda e Silva - ESTRATÉGIAS DE INVESTIMENTOS EM AÇÕES .pdf: 1219830 bytes, checksum: a2aa93b6d34310ed33ec91af8f364412 (MD5) Previous issue date: 2018-09-27 / O objetivo deste trabalho é examinar quais indicadores levaram a retornos excedentes no mercado brasileiro durante o período de 31 de março de 2000 a 31 de março de 2018, através das carteiras de ações construídas anualmente com base em um indicador ou dois indicadores quantitativos. Sendo os fatores testados: Retorno sobre Capital Investido (ROIC), Retorno sobre Ativos (ROA), Earnings Yield, Preço sobre Valor Patrimonial (PVPA), Preço sobre Vendas (PSR) e Índice de Força Relativa 120 dias úteis. Nas estratégias de um fator, o primeiro quartil do indicador Earnings Yield mostrou ser o melhor para seleção de ações no período, com maior índice de Sharpe 0,571, com maior média dos retornos anuais 41,03%, maior alfa 27,82%, superando Ibovespa 88,89% do tempo e com maior discrepância entre os retornos dos quartis, tanto que o pior resultado foi 4º quartil do Earnings Yield. Nas estratégias de dois fatores, a combinação dos indicadores de valor PSR e Earnings Yield, P/VPA e Earnings Yield obteve os maiores retornos médios anuais 42,51% e 39,1%, maiores alfas 29,40% e 26,19%, superando o Ibovespa em 88,89% e 83,33% do tempo, respectivamente. Porém foram as estratégias que combinaram um indicador de valor com um indicador de retorno, ROIC e Earnings Yield, ROA e Earnings Yield, que apresentaram os maiores índices de sharpe 0,623 e 0,619, respectivamente. / The objective of this study is examine which indicators led to excess returns in the Brazilian market during the period from March 31 2000 to March 31 2018, through stock portfolios constructed annually based on one indicator or two quantitative indicators. The following factors were test: Return on invested capital (ROIC), Return on Assets (ROA), Earnings Yield, Price-to-book (PVPA), Price Sales Ratio (PSR) and Relative Strength Index 120. In the one-factor strategies, the first quartile of the Earnings Yield indicator was the best for stock selection in the period, with highest Sharpe ratio 0.571, with the highest average annual returns 41.03%, the highest alpha 27.82% outperformed the Ibovespa 88.89% of the time and with greater discrepancy among quartile returns, so much that the worse result was fourth quartile of the Earnings Yield. In the two-factor strategies, the combination of the PSR and Earnings Yield, P/VPA and Earnings Yield value indicators obtained the highest average annual returns of 42.51% and 39.1%, higher alpha 29.40% and 26.19%, outperformed the Ibovespa in 88.89% and 83.33% of the time, respectively. However, it was the strategies that combined a value indicator with a return indicator, ROIC and Earnings Yield, ROA and Earnings Yield, which had the highest Sharpe ratio of 0.623 and 0.619, respectively.