Kaplan Schweser 2017 FRM Part I 10-Week Online Class Week 2
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Documento Che Attesta La Proprietà Di Una Quota Del Cap- Itale Sociale È Il Titolo Azionario E Garantisce Una Serie Di Diritti Al Titolare
Università degli Studi di Padova Facoltà di Scienze Statistiche Corso di Laurea Specialistica in Scienze Statistiche, Economiche, Finanziarie e Aziendali Tesi di Laurea : PORTFOLIO MANAGEMENT : PERFORMANCE MEASUREMENT AND FEATURE-BASED CLUSTRERING IN ASSET ALLOCATION Laureando: Nono Simplice Aimé Relatore: Prof. Caporin Massimiliano Anno accademico 2009-2010 1 A Luise Geouego e a tutta la mia famiglia. 2 Abstract This thesis analyses the possible effects of feature-based clustering (using information extracted from asset time series) in asset allocation. In particu- lar, at first, it considers the creation of asset clusters using a matrix of input data which contains some performance measure. Some of these are choosen between the classical measures, while others between the most sofisticated ones. Secondly, it statistically compares the asset allocation results obtained from data-driven groups (obtained by clustering) and a-priori classifications based on assets industrial sector. It also controls how these results can change over time. Sommario Questa tesi si propone di esaminare l’eventuale effetto di una classificazione dei titoli nei portafogli basata su informazioni contenute nelle loro serie storiche In particolare, si tratta di produrre inizialmente una suddivisione dei titoli in gruppi attraverso una cluster analysis, avendo come matrice di input alcune misure di performance selezionate fra quelle classiche e quelle più sofisticate e in un secondo momento, di confrontare i risultati con quelli ottenuti operando una diversificazione dei titoli in macrosettori industriali; infine di analizzare come i risultati ottenuti variano nel tempo. Indice 1 Asset Allocation 7 1.1 Introduzione . 7 1.2 Introduzione alle azioni . 8 1.3 Criterio Rischio-Rendimento . -
Post-Modern Portfolio Theory Supports Diversification in an Investment Portfolio to Measure Investment's Performance
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Rasiah, Devinaga Article Post-modern portfolio theory supports diversification in an investment portfolio to measure investment's performance Journal of Finance and Investment Analysis Provided in Cooperation with: Scienpress Ltd, London Suggested Citation: Rasiah, Devinaga (2012) : Post-modern portfolio theory supports diversification in an investment portfolio to measure investment's performance, Journal of Finance and Investment Analysis, ISSN 2241-0996, International Scientific Press, Vol. 1, Iss. 1, pp. 69-91 This Version is available at: http://hdl.handle.net/10419/58003 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend -
307439 Ferdig Master Thesis
Master's Thesis Using Derivatives And Structured Products To Enhance Investment Performance In A Low-Yielding Environment - COPENHAGEN BUSINESS SCHOOL - MSc Finance And Investments Maria Gjelsvik Berg P˚al-AndreasIversen Supervisor: Søren Plesner Date Of Submission: 28.04.2017 Characters (Ink. Space): 189.349 Pages: 114 ABSTRACT This paper provides an investigation of retail investors' possibility to enhance their investment performance in a low-yielding environment by using derivatives. The current low-yielding financial market makes safe investments in traditional vehicles, such as money market funds and safe bonds, close to zero- or even negative-yielding. Some retail investors are therefore in need of alternative investment vehicles that can enhance their performance. By conducting Monte Carlo simulations and difference in mean testing, we test for enhancement in performance for investors using option strategies, relative to investors investing in the S&P 500 index. This paper contributes to previous papers by emphasizing the downside risk and asymmetry in return distributions to a larger extent. We find several option strategies to outperform the benchmark, implying that performance enhancement is achievable by trading derivatives. The result is however strongly dependent on the investors' ability to choose the right option strategy, both in terms of correctly anticipated market movements and the net premium received or paid to enter the strategy. 1 Contents Chapter 1 - Introduction4 Problem Statement................................6 Methodology...................................7 Limitations....................................7 Literature Review.................................8 Structure..................................... 12 Chapter 2 - Theory 14 Low-Yielding Environment............................ 14 How Are People Affected By A Low-Yield Environment?........ 16 Low-Yield Environment's Impact On The Stock Market........ -
Securitization & Hedge Funds
SECURITIZATION & HEDGE FUNDS: COLLATERALIZED FUND OBLIGATIONS SECURITIZATION & HEDGE FUNDS: CREATING A MORE EFFICIENT MARKET BY CLARK CHENG, CFA Intangis Funds AUGUST 6, 2002 INTANGIS PAGE 1 SECURITIZATION & HEDGE FUNDS: COLLATERALIZED FUND OBLIGATIONS TABLE OF CONTENTS INTRODUCTION........................................................................................................................................ 3 PROBLEM.................................................................................................................................................... 4 SOLUTION................................................................................................................................................... 5 SECURITIZATION..................................................................................................................................... 5 CASH-FLOW TRANSACTIONS............................................................................................................... 6 MARKET VALUE TRANSACTIONS.......................................................................................................8 ARBITRAGE................................................................................................................................................ 8 FINANCIAL ENGINEERING.................................................................................................................... 8 TRANSPARENCY...................................................................................................................................... -
Risk and Return Comparison of MBS, REIT and Non-REIT Etfs
International Journal of Business, Humanities and Technology Vol. 7, No. 3, September 2017 Risk and Return Comparison of MBS, REIT and Non-REIT Etfs Hamid Falatoon Ph.D Faculty at School of Business University of Redlands Redlands, CA 92373, USA Mohammad R. Safarzadeh Economics California State PolytechnicUniversity Pomona, CA, USA Abstract MBS has become an investment instrument ofchoice for retiring individuals and the ones who have preference for a secure stream of returns while taking lower risk relative to other vehicles of investment. As well, MBS has lately become a recommended investment strategy by financial advisers and investment bankers for safeguarding the retirement accounts of retirees from wild market fluctuations. The objective of this paper is to compare the risk and return of MBS with REIT and Non-REIT invetment opportunities. The paper uses finance ratios such as Sharpe, Sortino, and Traynor ratios as well as market risk and value at risk (VaR) analysis to compare and contrast the relative risk and return of a number equities in MBS, REIT and Non-REIT. The study extends the analysis to pre-recession of 2007-2009 to analyze the effect of the great recession on the relative risk and return of three diffrerent mediums of investment. Keywords: Risk and Return, MBS, REIT, Sharpe, Sortino, Treynor, VaR, CAPM I. Introduction Mortgage-backed securities (MBS) are debt obligations that represent claims to the cash flows from a pool of commercial and residential mortgage loans. The mortgage loans, purchased from banks, mortgage companies, and other originators are securitized by a governmental, quasi-governmental, or private entity. -
Performance Measurement in Finance : Firms, Funds and Managers
PERFORMANCE MEASUREMENT IN FINANCE Butterworth-Heinemann Finance aims and objectives • books based on the work of financial market practitioners and academics • presenting cutting edge research to the professional/practitioner market • combining intellectual rigour and practical application • covering the interaction between mathematical theory and financial practice • to improve portfolio performance, risk management and trading book performance • covering quantitative techniques market Brokers/Traders; Actuaries; Consultants; Asset Managers; Fund Managers; Regulators; Central Bankers; Treasury Officials; Technical Analysts; and Academics for Masters in Finance and MBA market. series titles Return Distributions in Finance Derivative Instruments: theory, valuation, analysis Managing Downside Risk in Financial Markets: theory, practice and implementation Economics for Financial Markets Global Tactical Asset Allocation: theory and practice Performance Measurement in Finance: firms, funds and managers Real R&D Options series editor Dr Stephen Satchell Dr Satchell is Reader in Financial Econometrics at Trinity College, Cambridge; Visiting Professor at Birkbeck College, City University Business School and University of Technology, Sydney. He also works in a consultative capacity to many firms, and edits the journal Derivatives: use, trading and regulations. PERFORMANCE MEASUREMENT IN FINANCE Firms, Funds and Managers Edited by John Knight Stephen Satchell OXFORD AMSTERDAM BOSTON LONDON NEW YORK PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY TOKYO -
Lapis Global Family Owned 50 Dividend Yield Index Ratios
Lapis Global Family Owned 50 Dividend Yield Index Ratios MARKET RATIOS 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 P/E Lapis Global Family Owned 50 DY Index 22,34 15,52 14,52 15,95 15,67 18,25 14,52 16,96 15,57 12,27 15,65 25,21 MSCI World Index (Benchmark) 21,19 15,14 12,77 15,87 19,32 17,87 20,07 21,91 21,47 15,64 20,60 33,22 P/E Estimated Lapis Global Family Owned 50 DY Index 15,52 15,18 13,89 15,18 16,94 17,23 16,25 16,58 17,86 13,91 14,84 17,96 MSCI World Index (Benchmark) 14,14 12,53 11,07 12,46 14,86 15,53 15,76 16,23 16,88 13,42 16,96 20,81 P/B Lapis Global Family Owned 50 DY Index 2,35 2,52 2,22 2,29 2,14 2,21 1,96 2,03 1,94 1,72 1,50 2,22 MSCI World Index (Benchmark) 1,82 1,81 1,59 1,77 2,11 2,19 2,16 2,17 2,46 2,11 2,58 2,95 P/S Lapis Global Family Owned 50 DY Index 1,05 1,08 0,98 1,10 1,42 1,39 1,40 1,39 1,66 1,25 1,19 1,57 MSCI World Index (Benchmark) 1,07 1,13 0,96 1,08 1,35 1,40 1,49 1,54 1,75 1,47 1,79 2,20 EV/EBITDA Lapis Global Family Owned 50 DY Index 10,64 9,07 7,96 10,00 11,97 11,39 10,92 11,12 11,12 9,85 10,81 14,64 MSCI World Index (Benchmark) 9,80 8,76 8,03 9,19 10,34 10,42 11,68 12,27 12,19 10,39 12,60 16,79 FINANCIAL RATIOS 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Debt/Equity Lapis Global Family Owned 50 DY Index 71,34 63,53 58,74 64,08 57,61 58,51 53,24 55,25 40,43 55,91 66,28 72,55 MSCI World Index (Benchmark) 183,68 166,79 171,00 157,68 144,72 139,30 135,23 140,96 135,11 130,60 136,25 147,68 PERFORMANCE MEASURES 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 -
Rethinking Risk: How Diversification Amplifies Selection Skill
PRIVATE MARKETS INSIGHTS RETHINKING RISK: HOW DIVERSIFICATION AMPLIFIES SELECTION SKILL >>Our analysis suggests that both improbably The first paper in our Rethinking Risk series demonstrated that diversified private equity portfolios yield better risk- good fund selection abilities and access to the adjusted returns than concentrated portfolios. It did not, best-performing funds are necessary for an investor however, address the potential impact of investment skill with a concentrated private equity portfolio to match upon those returns. This paper therefore looks to quantify the effect of fund selection skill on investment returns – assuming the risk-adjusted returns from a randomly selected an investor is able to access their selected funds – and diversified one. compare this effect to that of diversification. >>Our modeling shows that, irrespective of skill level, It is well established that skillful manager selection is crucial when investing in private markets, given the wide dispersion investors have been able to materially improve of returns relative to public markets. The benefits of selection risk-adjusted portfolio returns via diversification. skill increase as the dispersion of outcomes grows. In private equity, for example, where top and bottom quartile five-year In effect, diversification has been shown to amplify annual returns commonly differ by more than 20 percentage the benefits of skill. points (pp), selection skill is clearly more valuable than among mutual funds, where the spread may be much narrower (see Chart 1). This is the second in a series of papers sharing HarbourVest’s insights into portfolio construction and risk in the context of private markets. The first paper, entitled The Myth of Over-diversification, focused on the improved risk-adjusted returns provided by diversification. -
Financial Performance of Government Bond Portfolios Based on Environmental, Social and Governance Criteria
sustainability Article Financial Performance of Government Bond Portfolios Based on Environmental, Social and Governance Criteria Guillermo Badía * , Vicente Pina and Lourdes Torres Faculty of Economics and Business, University of Zaragoza, 50005 Zaragoza, Spain; [email protected] (V.P.); [email protected] (L.T.) * Correspondence: [email protected]; Tel.: +34-876-554-620 Received: 8 March 2019; Accepted: 26 April 2019; Published: 30 April 2019 Abstract: We evaluated the financial performance of government bond portfolios formed according to socially responsible investment (SRI) criteria. We thus open a discussion on the financial performance of SRI for government bonds. Our sample includes 24 countries over the period of June 2006 to December 2017. Using various financial performance measures, the results suggest that high-rated government bonds, according to environmental, social, and governance (ESG) dimensions, outperform low-ranked bonds under any cut-off, although differences are not statistically significant. These findings suggest that ESG screenings can be used for government bonds without sacrificing financial performance. Keywords: socially responsible investments; government bonds; international finance; performance evaluation 1. Introduction The growth in socially responsible investment (SRI) has been notable. According to the 2016 Global Sustainable Investment Review [1], in 2016, US$22.89 trillion of assets were being professionally managed under responsible investment strategies worldwide, an increase of 25% since 2014. In 2016, 53% of managers in Europe used responsible investment strategies, this proportion being 22% in the U.S. and 51% in Australia and New Zealand. Per the Global Sustainable Investment Association (GSIA) 2016, sustainable investing is an investment approach that considers environmental, social, and governance (ESG) factors in portfolio selection and management. -
Picking the Right Risk-Adjusted Performance Metric
WORKING PAPER: Picking the Right Risk-Adjusted Performance Metric HIGH LEVEL ANALYSIS QUANTIK.org Investors often rely on Risk-adjusted performance measures such as the Sharpe ratio to choose appropriate investments and understand past performances. The purpose of this paper is getting through a selection of indicators (i.e. Calmar ratio, Sortino ratio, Omega ratio, etc.) while stressing out the main weaknesses and strengths of those measures. 1. Introduction ............................................................................................................................................. 1 2. The Volatility-Based Metrics ..................................................................................................................... 2 2.1. Absolute-Risk Adjusted Metrics .................................................................................................................. 2 2.1.1. The Sharpe Ratio ............................................................................................................................................................. 2 2.1. Relative-Risk Adjusted Metrics ................................................................................................................... 2 2.1.1. The Modigliani-Modigliani Measure (“M2”) ........................................................................................................ 2 2.1.2. The Treynor Ratio ......................................................................................................................................................... -
Performance Measurement for Traditional Investment Literature Survey
EDHEC RISK AND ASSET MANAGEMENT RESEARCH CENTRE Performance Measurement for Traditional Investment Literature Survey January 2007 Véronique Le Sourd Senior Research Engineer at the EDHEC Risk and Asset Management Research Centre Table of contents Introduction ................................................................................................................................................................. 5 1. Portfolio returns calculation ............................................................................................................................... 6 1.1. Basic formula .............................................................................................................................................................................................6 1.2. Taking capital flows into account ....................................................................................................................................................6 1.3. Evaluation over several periods .......................................................................................................................................................10 1.4. Choice of frequency to evaluate performance .........................................................................................................................11 2. Absolute risk-adjusted performance measures ............................................................................................13 2.1. Sharpe ratio (1966) ...............................................................................................................................................................................13 -
ETF PC Glossary
Glossary: The ETF Portfolio Challenge Glossary is designed to help familiarize our participants with concepts and terminology closely associated with Exchange-Traded Products. For more educational offerings, please visit www.etfg.com. ACTIVE MANAGEMENT The process of hand selecting securities with the purpose of trying to outperform a benchmark index. Active portfolio managers use economic data, investment research, market forecasts, and other indicators to help make investment decisions ALPHA A measure of performance on a risk-adjusted basis. Alpha, often considered the active return on an investment, gauges the performance of an investment against a market index used as a benchmark, since they are often considered to represent the market’s movement as a whole. The excess returns of a fund relative to the return of a benchmark index is the fund's alpha. Alpha is most often used for mutual funds and other similar investment types. It is often represented as a single number (like 3 or -5), but this refers to a percentage measuring how the portfolio or fund performed compared to the benchmark index (i.e. 3% better or 5% worse). Alpha is often used with beta, which measures volatility or risk, and is also often referred to as “excess return” or “abnormal rate of return” ANNUALIZED RETURN The average amount of money earned by an investment each year over a given time period. ARBITRAGE The simultaneous purchase and sale of an asset in order to profit from a difference in the price. It is a trade that profits by exploiting price differences of identical or similar financial instruments, on different markets or in different forms.