"The information ratio is a very controversial topic in the business world. Some portfolio managers put a lot of weight behind this risk-analysis measurement while others believe that this financial statistic can be easily manipulated and thus shouldn't be trusted. In this paper, an attempt will be made to show both sides of this issue by defining the information ratio, applying this definition to real world situations, explaining some of the negative impacts on the information ratio, comparing this ratio to other statistical measures, and showing some ways to improve a portfolio manager's information ratio. "

In Taiwan, the trading value of electronics related stocks makes up over 60% of Taiwan stock market and has grown gradually to the recent high of 70.03% in Dec. 2009. The high correlation between the TAIEX and TAIEX Electronic Index raises our interest to build a fund aiming to outperform TAIEX Electronic Index performance with similar risk as index by constructing an enhanced fund. We are keen to investigate if active management gain higher return than passive one according to our empirical study. This paper presents a combination effect of multi-factor model in the electronic sector and illiquidity, that expected returns are increasing in illiquidity. The major outcome is that we construct single industry Multi-Factor Model (MFM) and test for its prediction ability. The other is we form a proxy for illiquidity and incorporate it into the multi-factor model using Principal Component Analysis (PCA). The objective of this study is to discover mispriced stocks and make adjustments to build an enhanced fund, targeting 3% tracking error. As a result, the most stable factors based on cumulative return in forecasting electronic sector are Leverage, Value3, ValueToGrowth, EarningQulity respectively. The average explanatory power of electronic multi-factor model (ELE-MFM) is around 52.4% over the sample from 2004/1 to 2009/12. For illiquidity measure, we run cross-regression of stock return on illiquidity and other stock characteristics from the period of 2000/1 to 2009/12. What we find is sub-period is the significant evidence for the work of illiquidity. With the PCA combination of electronic multi-factor model and illiquidity measure into scores coming from the first principal component, we rank stocks through it. With the appropriate constraint rules added into our quadratic programming, the portfolio using the techniques combining multi-factor model and liquidity measures shows IR 0.69, TE 3% and Alpha 2.04% in our sample period. The work of the electronic Multi-Factor Model (MFM) and the illiquidity measure showing satisfactory result support enhanced skills.

Many enhanced index funds are based on a quantitative model to control active risk and to acquire active return. In this thesis we first construct a multiple-factor model (MFM) and then use statistical methods to evaluate the significance and stability of factor explanatory power. Significant and stable factors are utilized to fine tune weights of T50 index fund portfolio by an intuitive weight allocation model to achieve the effect of return enhancement. Empirical studies show that the multiple-factor model can explain the excess stock return effectively; the average R-Square of multiple-factor model reaches 49%. After analyzing the sensitivity of parameter of enhanced index weight allocation, the study finds that the original weight retention rate has linear relationship with active return and active risk of the T50 index fund. Adjusting the retention rate allows us to control the active return and active risk of T50 index fund. Furthermore, adjusting the original weight retention rate according to the Adj-R2 of multiple-risk factor model can effectively improve the stability of active return. The study finds also that the expected rates of return which are calculated by multiple-risk factor model could not differentiate among future performance of the first your guarantee portfolios. Thus, the study adjusts the range of weight allocation to T50 constituent stocks with higher and lower expected return rates. The result shows that this adjustment increased the IR of the enhanced index funds.

The goal of the master thesis is to analyze portfolio performance. The theoretical part of the thesis describes risk, portfolio performance measurement, investment funds, theory of portfolio. The analysis of portfolio performance is measured by different portfolio measurement tools.

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Many performance measurement algorithms can only evaluate measure active managers' performance after a period of operating time. However, most investors are interested in monitoring the active managers' performances at any time, especially, when the performance is going down. So that the investors can adjust the targets and contents of their portfolios to reduce their risks. Yashchin,Thomas and David (1997) proposed to use a statistical quality control (SQC) procedure to monitor active managers' performances. In particular, they established the IR (Information Ratio) control charts under normality assumption to monitor the dynamic performances of active managers. However, the distributions of IR statistic usually possess fat tail property. Since the underlying distribution of IR is an important hypothesis in building up the control chart, we consider the heavy tail distributions, such as mixture normal and generalized error distribution to fit the IR data. Based on the fitted distribution, the IR control charts are rebuilt. By simulations and empirical studies, the remedial control charts are found to detect the shifts of active managers' performances more sensitively.

The study evaluated the development role of targeted development investments in South Africa and their risk adjusted performance over a 10-Year period, that is from 2008 to 2017. Targeted development investments as a subset of socially responsible investments have transformed the way capital is allocated towards development funding needs. In the South African context this study is relevant given it offers a contrast between investments made in the public sector where development impact is a key objective, versus private sector targeted investments that aim to achieve financial returns whilst also driving development impact objectives aligned to sustainable development goals. The role and impact of these investments in the post democratic era is put in the spotlight given the country is dealing with economic, social, and environmental challenges that have necessitated the need to assess the nature and role of the investment industry in solving these complex development challenges (Giampocaro & Pretorius, 2012). The study on the role of the public sector focused on the investments and development impact indicators tracked by the Top 3 public sector investment institutions or corporations. The analysis on the performance of the private sector TDI funds examined their risk adjusted performance using Treynor, Sharpe, Sortino, and Information ratios. The risk adjusted performance was used to test whether the TDI fund returns under or outperformed against five benchmark categories. The research findings showed mixed results where TDI funds either underperformed or outperformed against the benchmark categories. The findings highlighted the need for a hybrid development model where both the public and private sector actively play a role in the development landscape as guided by their respective investment mandates. The findings advocate for corporate and institutional investors to increase capital allocations and investments towards financing development needs given the scope to maximise investor returns, whilst considering socially responsible investing and issues relating to the development and empowerment of previously disadvantaged communities.

This thesis deals with exchange traded funds (ETFs). The theoretical part is focused on familiarization with the issue from a broader perspective in the form of collective investment characteristics, leading through the current trends in this area. This part is followed by chapter about ETF, including specific areas. Selected classic and leveraged ETFs are analyzed in the practical part for the period between 2010 and 2015. Funds are analyzed on the basis of NAV in the terms of return and risk represented by selected indicators. Results are commented in a broader context in summary and discussion chapter as well as recommendations.

Förvaltning och avkastning hos fonder har forskats om i flera studier runt om i världen. Tidigare forskning har gett varierande resultat, där vissa studier visar på att det föreligger ett samband mellan en fonds avgift och avkastning, medan andra inte kan säkerställa ett sådant resultat. Då de svenska hushållen idag sparar mer än någonsin, visar det på att fondsparande är ett aktuellt ämne för ytterligare forskning. Statistik från 2020 visar att fondförmögenheten i Sverige totalt uppgick till 4 554 miljarder kronor och har visat på en fortsatt ökande trend de senaste åren. Dock har endast få studier genomförts på den svenska kapitalmarknaden och de har i huvudsak analyserat ämnet på kort sikt, med en tidsperiod om fem år. Eftersom avgifternas påverkan på fonder är tydligast på lång sikt, ger det utrymme för fortsatt forskning inom ämnet. Syftet med följande forskning är att studera sambandet mellan svenska aktiefonders avkastning och avgift på lång sikt i förhållande till fondernas risk. Studien avgränsas till att undersöka svenska aktiefonder som har varit verksamma i minst tio år, mellan åren 2011-2020. Forskningen antar en kvantitativ forskningsmetod, vilket syftar till att testa teorier. Tillvägagångssätt sker genom en analys av urvalets regression och korrelation i samband med hypotesprövning, där variabler undersöks för att ge underlag till studiens analys av resultat. Studiens resultat visar att svenska aktiefonder i genomsnitt underpresterar den svenska marknaden på lång sikt. Forskningen visar även varierande resultat gällande korrelation mellan riskjusterad avkastning och avgift på lång sikt. Resultaten indikerar att den svenska kapitalmarknaden har en relativ marknadseffektivitet av svag form. I tillägg verkar aktivt förvaltade fonder kunna utnyttja tillfällig trendidentifiering och informationsasymmetri för att uppnå en överavkastning. Forskningen avslutas med slutsatsen att högavgiftsfonder, vilka är mer aktivt förvaltade, indikeras vara ett bättre investeringsalternativ för att uppnå en god långsiktig prestation i jämförelse med passiva fonder. / The management and return of funds have been researched in many studies around the world. Previous research has yielded varied results, with some studies showing that there is a link between a fund's fee and return, while others cannot ensure such a result. As Swedish households save more today than ever, it shows that fund saving is a current topic for further research. Statistics from 2020 show that fund assets in Sweden are 4 554 billion swedish crowns in total, a number that has continuously grown in the past years. However, only a few studies have been conducted on the Swedish capital market where the existing studies have mainly analyzed the subject in the short term, with a time period of five years. Since the impact of fund fees is most noticeable in the long term, the subject can be further explored.  The aim of this research is to study the correlation between returns and fees of Swedish equity funds in the long term in relation to the funds risk. The study is limited to examining Swedish equity funds that have been active for at least ten years, between the years 2011-2020. The study adopts a quantitative research method, which aims to test theories. This research utilizes a regression and correlation analysis in conjunction with hypothesis testing, where variables are examined to provide a basis for the study's analysis of results. The results of this study show that Swedish equity funds on average underperform the Swedish market in the long term. The research also shows varying results regarding the correlation between risk-adjusted return and fee in the long term. The results of this study indicate that the Swedish capital market has a relative weak form of market efficiency. In addition, actively managed funds seem to be able to utilize occasional trend identification and information asymmetry to achieve an excess return. The research concludes that high-fee funds, which are more actively managed, indicate to be a better investment alternative for achieving long-term performance in comparison to passive funds.