Global ETD Search

31	Uma formulação por média-variância multi-período para o erro de rastreamento em carteiras de investimento. / A multi-period mean-variance formulation of tracking error for portfolio selection. Yeison Andres Zabala 24 February 2016 (has links) 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). / In this work, an optimal policy for portfolio selection based on mean-varian e analysis for the multi-period tracking error - ERM - was derived. ERM is understood as the difference between the capital raised by the selected portfolio and benchmark portfolio. Thus, the methodology discussed by Li-Ng in [24] for analytical solution was applied, generalizing the single period case introduced by Roll in [38]. Then, it was selected a portfolio from the Brazilian stock trading based on the correlation factor, and adopted as benchmark the index of the stock trading of São Paulo State IBOVESPA, and the basic interest rate SELIC as fixed income asset. Two cases were dealt: portfolio composed of risky assets only, case I, and portfolio with a risk-free asset - indexed to SELIC - and assets of the case I (case II). Adminstração de carteiras Benchmark Controle estocástico Controle ótimo Erro de rastreamento Estratégias de investimento Multi-período Portfólios Benchmark Investment policy Multi-period Optimal control Portfolio Stochasti control Tracking error
32	Constructing low cost core-satellite portfolios with multiple risk constraints: practical applications to Robo advising in South Africa using active, passive and smart-beta strategies Smith, Jacques 24 February 2021 (has links) Risk and tracking error budgeting was originally adopted by large institutional investors, including pension funds, plan sponsors, foundations, and endowments. More recently, risk and tracking error budgeting have gained popularity among financial advisors, multi-managers, fund of funds managers, high net worth individuals as well as retail investors. These techniques contribute to the portfolio optimisation process by limiting the extent to which a portfolio can deviate from its benchmark with regards to risk and tracking error. This is an ambitious paper that attempts to determine the optimal strategy to practically implement risk and tracking error budgeting as a portfolio optimisation technique in South Africa. This study attempts to bridge the gap between active, passive, and smart-beta investment management styles by introducing a low-cost portfolio construction technique, for core-satellite portfolio management, which contributes to the risk and tracking error budgeting process. Core-satellite portfolios are designed to expose the portfolio to a low-cost primary “core” consisting of passive and enhanced index funds, thus systematic risk “beta”, limiting the tracking error of the portfolio. The secondary “satellite” component is allocated to active and smart-beta managers to exploit expected excess return “alpha”. The primary aim of this research is to construct a rule-based product range of core-satellite portfolios called “replica portfolios”. The product range builds on the foundation of the Association for Savings & Investments South Africa (ASISA) framework. The study identifies three “target portfolios” from ASISA's framework, namely (1) High Risk: SA General Equity, (2) Medium Risk: SA Multi-Asset High Equity and (3) Low Risk: SA Multi-Asset Low Equity. Through this framework, active managers from each category are shortlisted using a Sharpe and Information Ratio filter. A secondary filtering technique, namely Returns Based Style Analysis (RBSA) is used to determine the style, R-squared and alpha-generating ability of active managers versus the passive asset classes and style indices they seek to replicate. Applying Euler's theorem for homogenous functions, we decompose the risk of the coresatellite portfolio into the risk contributed by each of its components. The primary mandate of the core-satellite portfolios in the product range is to allocate risk and tracking error efficiently across several investment management styles and asset classes in order to maximise returns while remaining within the specified risk parameters. iii The results highlighted that active managers, after fees, predominantly failed to outperform their benchmarks and passive building blocks, as identified through RBSA over the sample period (October 2009 – September 2019). However, only a small number of active managers generated superior risk-adjusted returns and were included in the core-satellite range of products. This study recommends to investors that they exploit the “hot-hands effect” by investing in specialised, benchmark agnostic active managers who consistently produce superior risk-adjusted returns. By blending active, passive and smart-beta strategies, investors are exposed to less total risk, less risk per holding and a lower tracking error. The three coresatellite portfolios developed in this study generated absolute and risk-adjusted returns that are more significant than their active and passive counterparts. Fee arbitrage was derived through the range of core-satellite products, resulting in tangible alpha over the sample period. The study encourages investors to use smart-beta strategies alongside active and passive funds since it improves Sharpe and Information ratios while enhancing the original portfolio's characteristics. risk budgeting tracking error modern portfolio theory efficient market hypothesis core-satellite portfolio active portfolio management passive portfolio management smart-beta returns based style analysis Robo-advisor
33	Modelling management fees of mutual funds using multiple linearregression / Modellering av fonders förvaltningsavgift genom multilinjär regression Hallberg, David, Renström, Erik January 2017 (has links) This paper seeks to investigate whether management fees, set by mutual funds, rely on a set of explanatory variables. The study includes equity, bond, and money market funds, all investing in securities registered in Sweden. Results obtained from the project show that changes in assets under management, standard deviation, and tracking error, for a course of 5 years, can provide some explanation to what management fees mutual funds set. In turn, this raises many interesting questions on how capital flows and fund differentiation affects the fees. Also, a market analysis of the Swedish fund market shows that elements of monopolistic competition are present. Finally, because of the scope of this study, several suggestions on further research have been made. / Denna artikel ämnar undersöka huruvida förvaltningsavgifter, satta av fonder, beror på ett antal förklarande variabler. Studien inkluderar aktie, obligations och korträntefonder, vilka investerar i värdepapper registrerade i Sverige. Resultat erhållna från projektet tyder på att förändringar i kapital under förvaltning, standardavvikelse och spårningsfel (tracking error), alla uppmätta över 5 år, delvis kan förklara vilka avgifter fonder sätter. I sin tur väcker detta flera intressanta frågor över hur kapitalflöden och fonddifferentiering påverkar avgifter. Dessutom visar en genomförd marknadsanalys över den svenska fondmarknaden att karaktäristiska drag av monopolistisk konkurrens är närvarande. Slutligen, i samband med studiens omfattning, så har flertalet förslag på vidare studier gjorts. Mutual fund management fee regression analysis market structure changes in assets under management standard deviation tracking error Fonder förvaltningsavgift regressionsanalys marknadsstruktur förändringar i kapital standardavvikelse spårningsfel. Computational Mathematics Beräkningsmatematik
34	Logistics Regression Model on Antenna Control Unit Autotracking Mode Laird, Daniel T. 10 1900 (has links) ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV / Over the past several years DoD imposed constraints on test deliverables, requiring objective measures of test results, i.e., statistically defensible test and evaluation (SDT&E) methods and results. These constraints force testers to employ statistical hypotheses, analyses and modeling to assess test results objectively, i.e., based on statistical metrics, analytical methods, probability of confidence complemented by, rather than solely on expertise, which is too subjective. In this and companion papers we discuss methods of objectifying testing. We employ an earth coordinate model and statistical modeling of telemetry (TM) tracking antenna employing time-space position information (TSPI) and derived statistical measures for tracking-error and auto-tracking mode. Test data were statistically analyzed via analysis of covariance (ANCOVA) which revealed that the antenna control unit (ACU) under test (AUT) does not track statistically identically, nor as practically or efficiently in C-band while receiving data carriers in both S- and C-bands. The conclusions of this paper add support to that hypothesis. In this third of three papers we use data from a range test, but make no reference to the systems under test as the purpose of this paper is to present an example of tools useful for employing a SDT&E methodology. H₀ tracking mode tracking error TM AGC ACU AT Scan Slew GPS TSPI samples observables and predictors ANOVA ANCOVA F-test t-test PDF statistical model inner-product linear predictor link function logit logistic regression stochastic filter
35	衡量臺灣證券市場上槓桿及反向指數股票型基金之績效 / Evaluating the Performance of Leveraged and Inverse Exchange-Traded Funds in Taiwanese Stock Market 彭思涵 Unknown Date (has links) 本文以臺灣證交所上市的前九檔槓桿及反向指數股票型基金(LETFs)作為樣本,根據 Charupat and Miu(2014)研究方法衡量其績效。傳統衡量指數股票型基金(ETFs)績效的方式,為單純將基金淨值報酬對指數累積報酬做簡單迴歸,若將此方法應用在衡量 LETFs 之績效上,由於許多影響基金淨值報酬的因素沒被分離出來,常造成迴歸結果存在嚴重偏誤,或是難以解釋。本文是第一篇研究國內 LETFs 績效的著作,透過在迴歸式中納入複利效果、融資效果,以更精確的方式比較分析影響 LETFs 基金淨值報酬的因素,及各 LETFs 之管理績效。本文實證結果除了證實融資效果確實存在,也證實大部分複利效果及融資效果的理論性質,最重要的是,顯示出追蹤上証 180 指數的三檔 LETFs 在準確複製報酬槓桿倍數上比較傑出,而追蹤台灣 50 指數的三檔 LETFs 在基金管理效率方面有比較優秀的表現。 / Using Leveraged and Inverse Exchange-Traded Funds (LETF) listed in the Taiwan Stock Exchange, this thesis evaluates the performance of these LETFs based on the methodology proposed by Charupat and Miu (2014). The traditional approach of performance evaluation of ETFs is to regress the fund’s net asset value (NAV) returns on the underlying index’s returns. However, such an approach fails to account for important factors, such as compounding and financing effects, that affect the NAV of the LETFs, and unavoidably leads to serious estimation biases. This is the first thesis which evaluates the performance of LETFs listed in the Taiwan Stock Exchange. By considering compounded effect and financing effect in the regression model, the proposed method is more precise and appropriate in disentangling factors that affect the performance of the LETFs. Our empirical evidence shows how compounding effect, financing costs, and management factors influence LETFs’ tracking errors. Most of all, the three LETFs tracking the SSE180 index have the best tracking ability of the underlying asset return, while the LETFs tracking the FTSE TWSE Taiwan 50 index have the best management performance among all LETFs examined in this these. 槓桿及反向指數股票型基金管理績效追蹤誤差複利效果融資效果 Leveraged and Inverse ETF funds performance tracking error compounded effect financing effect
36	我國指數股票型基金上市後之績效分析王韻晴 Unknown Date (has links) 從投資組合理論與效率市場假說來看，影響投資績效之主要因素為資產配置而非選股或擇時能力，相關之實証亦發現主動式投資策略並無法獲得持續優於大盤的報酬，因此被動式投資策略將是一較佳的選擇。自先鋒集團在1976年率先推出指數基金之後，此類指數化投資商品即呈現指數化成長。而我國亦在2003年6月30日正式推出第一檔指數股票型基金「臺灣50指數股票型基金，簡稱TTT」。本論文以投資人的角度來分析TTT之報酬率及成交量，從追蹤誤差及溢折價來觀察基金之報酬率，研究造成追蹤誤差之主要影響因子為何與實物創造或贖回機制是否能有效發揮功用，使TTT之市價可貼進基金淨值，以免如同封閉型基金大都折價交易，而影響投資人之獲利率。此外，更進一步比較TTT與其他指數化商品之差異性以供投資人選擇投資標的時參考。本研究發現影響追蹤誤差之因素主要為指數成份股之增刪、公眾流通係數之調整與現金股利的發放。雖然在短期下上述因素會影響基金報酬，但長期而言基金報酬與指數相當，甚或更為略高，故在衡量長期績效時臺灣50指數可做為一良好的報酬指標。而從溢折價來分析時，由於市場交易機制，使得TTT自上市以來之流動性不足，市場效率性不高，溢折價幅度較大。此點與成交量之分析結果一致，研究發現TTT之成交量並未因出現套利機會而顯著增加，投資人買賣TTT主要在於避險或投機需求。雖然現階段我國尚未出現指數基金，但若未來有出現類似之商品時，在目前我國停徵證券交易所得稅的環境下，投資金額的大小將非決定選擇指數基金或TTT之關鍵因素，投資期間與「質」的因素才是主要關鍵。當投資期間愈長，TTT之高交易成本的影響程度將降低，其可在盤中隨時買賣及低追蹤誤差等「質」方面的優勢將提高，TTT將相對較具吸引力。而臺灣50指數期貨由於交易成本及流動性風險較高，因而投資人較不偏好操作臺灣50指數期貨。追蹤誤差溢折價實物創造與贖回指數基金指數股票型基金臺灣50指數期貨 tracking error ETF TTT
37	Etiska Index : Vad är priset på ett gott samvete? / Ethical Index : What is the price of a good conscience? Tuvinger, Patrik, Sobka, Tomas January 2016 (has links) Aim:The purpose of this study is to investigate whether an investor will have to s acrifice their expectations of return by investing in a responsible way. Theory: The thesis is based on the efficient market hypothesis through the modern portfolio theory to make it possible to test whether the investor will have to sacrifice return after taking into account of the risk. To measure the risk-adjusted return we used Sharpe ratio, the Modigliani-Modigliani (M2), Jensen's alpha, which later on is the basis for the study's results and conclusion. Method: The study is a quantitative survey with a deductive approach where the selected theories determined what data is collected. Based on these theories we construct a hypothesis that this study later intended to test. Data was collected from Bloomberg. Conclusion: The study shows that several ethical indexes have a higher return while at the same time showing a higher risk-adjusted return. This higher risk-adjusted return is not statistically significant except for a few of the measured markets. The study also shows that the ethical indexes generally have a lower 𝛽, which can be interpreted as a lower systematic risk. Meanwhile the tracking error / active risk is higher and the screened indexes therefore should not be compared with say, index funds. When taken into account the longer period active risk levels match actively managed funds. As in previous studies, this study did not show any significant difference in risk-adjusted returns but a higher risk. Effektiva marknads hypotesen Modern portföljteori etiska placeringar Sharpekvot Jensens alpha Modigliani-Modigliani (M2) Beta Tracking Error/Aktiv risk riskjusterad avkastning excess return Standardavvikelse t-test SRI ESG CSR negativ screening positiv screening.
38	Optimal Portfolio Re-Balancing on Fixed Periods using a Cost/Risk Adaptation Model and Stochastic Optimization. Ehn, Max, Jämte, Marcus January 2023 (has links) In this thesis we investigate the problem of portfolio re-balancing for fixed periods using a cost/risk adaptation model and stochastic optimization. The cost/risk adaptation model takes theory of optimal liquidity costs and risk preference to build a universe in which we try to find better strategies than conventional ones. The results are focused on the comparison between the conventional execution strategies versus our developed model. We have found that our model outperforms the conventional methods for all assets that has been evaluated, and especially for investors whom value exposure to the markets higher. Optimal portfolio re-balancing optimal liquidation minimize transaction costs trading-volume estimation stochastic optimization Financial mathematics tracking error execution strategies opportunity costs liquidation costs applied mathematics PRIIP regulation Swing-pricing Other Mathematics Annan matematik
39	FEES IN SUSTAINABLE MUTUAL FUNDS : The relationship between the return on sustainable mutual funds and the total expense ratio in the U.S. and Sweden Cheraghi, Jonas, Sundqvist, Adam January 2022 (has links) This thesis investigates the relationship between the total expense ratio and the 5-year performance to last month for sustainable mutual funds registered in Sweden and the United States. The increasing amount of mutual funds and the shift towards sustainability in the society gives cause to study the relationship between the total expense ratio and the performance of sustainable mutual funds rather than conventional mutual funds. The analysis was conducted by testing the relationships through different regression models for both the Swedish and the U.S. market. A simple regression model was conducted for both markets to study the relation that the total expense ratio has to the 5-year performance to last month. To further analyse the relation between the two variables, a multiple regression model was conducted for both markets to further analyse the significant relationship between the total expense ratio and the 5-year performance to last month. The data was collected via Eikon and included mutual funds registered in Sweden and the U.S., each mutual fund collected was retrieved together with an ESG score which was the definitive factor whether the mutual fund could be considered as sustainable or not. The results gathered from the simple regression model for the Swedish market was found to have no significant relationship and the explanatory degree for the regression model was very low. The results regarding the simple regression model for the U.S. market are however found to be significant but with a low degree of explanation as well. Hence the result from this study indicates that there is no significant relationship between the total expense ratio and the 5-year performance to last month for the Swedish market when conducting a simple regression model, while the U.S. market has a low significant relationship between the variables. However, a multiple regression model for the Swedish market containing additional control variables presents a significant relationship between the total expense ratio and the 5-year performance to last month. The same results were found for the U.S. market when conducting a multiple regression model. The results for the Swedish simple regression model align with previous studies conducted within this area, where previous studies have found there to be no significant relationship between the total expense ratio and the performance of mutual funds, hence same results are applicable to sustainable mutual funds. However, this study did in fact also display significant relationships for the multiple regression model for the Swedish market as well as for both regression models for the U.S. market. Which indicates that the total expense ratio to some extents have an explanatory relationship between the total expense ratio and the 5-year performance to last month for sustainable mutual funds in both the Swedish market and the U.S. market. Sustainable mutual funds Mutual funds Total expense ratio Sustainable investing Effective market hypothesis Modern portfolio theory Sharpe ratio Tracking error ESG Management fee EIKON Sweden USA Business Administration Företagsekonomi
40	市場風險值管理之應用分析以某金融控股公司為例 / The analysis of Market Risk VaR management ：the case of financial holding company 周士偉, Chou, Jacky Unknown Date (has links) 2008年次貸風暴橫掃全球金融市場，Basel II制度歷經多年的實施，卻無法有效防阻金融風暴的發生。觀察2008已採用內部模型法之主要國際金融機構之年報，亦發現採用蒙地卡羅模擬法之代表銀行『德意志銀行』於該年度竟發生了35次穿透，市場風險管理到底出了什麼問題？這是被極度關心的現象，產官學界也對此現象提出了許多議題。2012年的現在，次貸的風暴尚未遠去，新的歐債危機也正在蔓延，若金融風暴再次來臨，市場風險管理是否能克服次貸風暴後所凸顯的缺失，市場風險管理的價值除被動管理外，是否還可以進階到主動預警，以作為經營決策的重要參考資訊？這些都是國內金融機構需積極面對的急迫的市場風險管理議題。個案金控的市場風險管理機制致力於解決次貸以來所凸顯的市場風險管理議題、提升市場風險衡量的精準度、擴大市場風險管理之應用範圍，並將市場風險管理的價值由被動管理角色進階到主動預警角色，以期作為經營決策的重要參考。經過多年的淬煉，其發展理念與經驗應具相當參考價值，故本論文以個案金融控股公司(以下簡稱個案金控)之實務經驗進行個案研究，除分析個案金控市場風險管理機制的基礎架構外，也將研究重心放在個案金控如何在此基礎架構下，開發多種進階市場風險量化管理功能。本論文除研究個案金控如何完善市場風險值量化機制外，也對各量化功能的實施結果進行分析，以期研究成果可更客觀的作為其他金融控股公司未來發展進階市場風險衡量機制之參考。市場風險風險值經濟價值信託基金操作風險風險因子一般風險值壓力風險值條件風險值增額風險值邊際風險值變異數-共變異數法歷史模擬法蒙地卡羅模擬法隱含波動度厚尾順景氣循環標準法內部模型法市場流動性風險外生性市場流動性風險內生性市場流動性風險流動性調整後風險值壓力測試回溯測試 Market Risk Value at Risk Economic Value Active Management VaR Tracking Error Risk Factor Common VaR Stressed VaR Conditional VaR Incremental VaR Marginal VaR Variance-Covariance Approach Historical Simulation Approach Monte Carlo Simulation Approach Fat Tail Time-Varying Volatility pro-cyclical Standardized Approach Internal Models Approach Implied Volatility Generalized Error Distribution Bernoulli trial test Likelihood ratio test Unconditional Coverage Test Conditional Coverage Test Backward Looking Model Forward Looking Model Forecasting VaR Pearson Correlation Cholesky decomposition Kendall Correlation Copula method Future Volatility Disconnection Market Liquidity Risk Exogenous Market Liquidity Risk Endogenous Market Liquidity Risk Liquidity-adjusted VaR Stress Test Backtesting Net Interest Income Re-pricing Model Maturity Model Duration Model

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