Foundations of Factor Investing
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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 -
The Performance of Value and Growth Stocks in Recessions and Booms and the Combination with Momentum
http://lib.ulg.ac.be http://matheo.ulg.ac.be The performance of value and growth stocks in recessions and booms and the combination with momentum Auteur : Reuter, Gregory Promoteur(s) : Lambert, Marie Faculté : HEC-Ecole de gestion de l'ULg Diplôme : Master en sciences de gestion, à finalité spécialisée en Banking and Asset Management Année académique : 2016-2017 URI/URL : http://hdl.handle.net/2268.2/3659 Avertissement à l'attention des usagers : Tous les documents placés en accès ouvert sur le site le site MatheO sont protégés par le droit d'auteur. Conformément aux principes énoncés par la "Budapest Open Access Initiative"(BOAI, 2002), l'utilisateur du site peut lire, télécharger, copier, transmettre, imprimer, chercher ou faire un lien vers le texte intégral de ces documents, les disséquer pour les indexer, s'en servir de données pour un logiciel, ou s'en servir à toute autre fin légale (ou prévue par la réglementation relative au droit d'auteur). Toute utilisation du document à des fins commerciales est strictement interdite. Par ailleurs, l'utilisateur s'engage à respecter les droits moraux de l'auteur, principalement le droit à l'intégrité de l'oeuvre et le droit de paternité et ce dans toute utilisation que l'utilisateur entreprend. Ainsi, à titre d'exemple, lorsqu'il reproduira un document par extrait ou dans son intégralité, l'utilisateur citera de manière complète les sources telles que mentionnées ci-dessus. Toute utilisation non explicitement autorisée ci-avant (telle que par exemple, la modification du document ou son résumé) nécessite l'autorisation préalable et expresse des auteurs ou de leurs ayants droit. -
Style Investing$
Journal of Financial Economics 68 (2003) 161–199 Style investing$ Nicholas Barberisa,*, Andrei Shleiferb a Graduate School of Business, University of Chicago, Chicago, IL 60637, USA b Department of Economics, Harvard University, Cambridge, MA 02138, USA Received 28 November 2000; received in revised form 11 December 2001 Abstract We study asset prices in an economy where some investors categorize risky assets into different styles and move funds among these styles depending on their relative performance. In our economy, assets in the same style comove too much, assets in different styles comove too little, and reclassifying an asset into a new style raises its correlation withthatstyle. We also predict that style returns exhibit a rich pattern of own- and cross-autocorrelations and that while asset-level momentum and value strategies are profitable, their style-level counterparts are even more so. We use the model to shed light on several style-related empirical anomalies. r 2003 Elsevier Science B.V. All rights reserved. JEL classification: G11, G12, G14 Keywords: Style investing; Comovement; Positive feedback; Value; Momentum 1. Introduction One of the clearest mechanisms of human thought is classification, the grouping of objects into categories based on some similarity among them (Roschand Lloyd, 1978; Wilson and Keil, 1999). We group countries into democracies and dictator- ships based on features of political systems within each group. We classify $We have benefited from the comments of two anonymous referees and from discussions with John Campbell, Doug Diamond, Eugene Fama, Edward Glaeser, Will Goetzmann, Sanford Grossman, Rafael La Porta, David Laibson, Sendhil Mullainathan, Geert Rouwenhorst, Lawrence Summers, Jeffrey Wurgler, and seminar participants at the University of Chicago, Harvard University, London Business School, Princeton University, the University of Iowa, Wharton, the AFA, and the NBER. -
Factor Investing in European Offices Smart Beta Compared to Traditional Styles
AEW RESEARCH FACTOR INVESTING IN EUROPEAN OFFICES SMART BETA COMPARED TO TRADITIONAL STYLES Q2 2019 EUROPEAN QUARTERLY REPORT TABLE OF CONTENTS SUMMARY: GROWTH OFFERS BEST EXCESS RETURNS THROUGH THE CYCLE ................................. 3 SECTION 1: METHODOLOGY – OUR FACTOR INVESTING FRAMEWORK .......................................... 4 SECTION 2: RESULTS FOR FACTOR BASED FRAMEWORK ......................................................... 5 SECTION 3: COMPARISON OF FACTOR INVESTING WITH TRADITIONAL STYLES ............................... 7 HOW CAN INVESTORS USE FACTOR INVESTING IN EUROPEAN OFFICES? Factor investing is an investment approach successfully used in fixed income and equity investment management. It is based on academic work by Fama & French (1993) among many others. The approach identifies multiple factors that explain excess returns compared to the market portfolio. Initially these factors focused on small caps, value and growth stocks, but then expanded in scope. By identifying the most relevant underlying factors, investors can benefit from market inefficiencies in a rules-based and transparent way. If you consistently select stocks, bonds or sectors whose performance have been driven most by factors delivering excess return, you should beat the market benchmark in the long term. These so-called smart beta strategies use factors such as volatility, liquidity, quality, value, yield and growth. In this report, we apply this factor investing approach to close to 40 European office markets for the first time. We will also compare factor investing to the traditional core and value add investment styles. FACTORS USED IN FACTOR INVESTING FRAMEWORK Source: AEW FOCUSED ON THE FUTURE OF REAL ESTATE 2 EUROPEAN QUARTERLY REPORT SUMMARY: GROWTH OFFERS BEST EXCESS RETURNS THROUGH THE CYCLE . In this report, we apply our new factor investing approach to close to 40 European office markets for the first time. -
Exposure and Vulnerability
Determinants of Risk: 2 Exposure and Vulnerability Coordinating Lead Authors: Omar-Dario Cardona (Colombia), Maarten K. van Aalst (Netherlands) Lead Authors: Jörn Birkmann (Germany), Maureen Fordham (UK), Glenn McGregor (New Zealand), Rosa Perez (Philippines), Roger S. Pulwarty (USA), E. Lisa F. Schipper (Sweden), Bach Tan Sinh (Vietnam) Review Editors: Henri Décamps (France), Mark Keim (USA) Contributing Authors: Ian Davis (UK), Kristie L. Ebi (USA), Allan Lavell (Costa Rica), Reinhard Mechler (Germany), Virginia Murray (UK), Mark Pelling (UK), Jürgen Pohl (Germany), Anthony-Oliver Smith (USA), Frank Thomalla (Australia) This chapter should be cited as: Cardona, O.D., M.K. van Aalst, J. Birkmann, M. Fordham, G. McGregor, R. Perez, R.S. Pulwarty, E.L.F. Schipper, and B.T. Sinh, 2012: Determinants of risk: exposure and vulnerability. In: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation [Field, C.B., V. Barros, T.F. Stocker, D. Qin, D.J. Dokken, K.L. Ebi, M.D. Mastrandrea, K.J. Mach, G.-K. Plattner, S.K. Allen, M. Tignor, and P.M. Midgley (eds.)]. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge University Press, Cambridge, UK, and New York, NY, USA, pp. 65-108. 65 Determinants of Risk: Exposure and Vulnerability Chapter 2 Table of Contents Executive Summary ...................................................................................................................................67 2.1. Introduction and Scope..............................................................................................................69 -
How to Analyse Risk in Securitisation Portfolios: a Case Study of European SME-Loan-Backed Deals1
18.10.2016 Number: 16-44a Memo How to Analyse Risk in Securitisation Portfolios: A Case Study of European SME-loan-backed deals1 Executive summary Returns on securitisation tranches depend on the performance of the pool of assets against which the tranches are secured. The non-linear nature of the dependence can create the appearance of regime changes in securitisation return distributions as tranches move more or less “into the money”. Reliable risk management requires an approach that allows for this non-linearity by modelling tranche returns in a ‘look through’ manner. This involves modelling risk in the underlying loan pool and then tracing through the implications for the value of the securitisation tranches that sit on top. This note describes a rigorous method for calculating risk in securitisation portfolios using such a look through approach. Pool performance is simulated using Monte Carlo techniques. Cash payments are channelled to different tranches based on equations describing the cash flow waterfall. Tranches are re-priced using statistical pricing functions calibrated through a prior Monte Carlo exercise. The approach is implemented within Risk ControllerTM, a multi-asset-class portfolio model. The framework permits the user to analyse risk return trade-offs and generate portfolio-level risk measures (such as Value at Risk (VaR), Expected Shortfall (ES), portfolio volatility and Sharpe ratios), and exposure-level measures (including marginal VaR, marginal ES and position-specific volatilities and Sharpe ratios). We implement the approach for a portfolio of Spanish and Portuguese SME exposures. Before the crisis, SME securitisations comprised the second most important sector of the European market (second only to residential mortgage backed securitisations). -
Style Investing for Real Estate : an Introduction
STYLE INVESTING FOR REAL ESTATE : AN INTRODUCTION BNP Paribas REIM April 2019 STYLE INVESTING FOR REAL ESTATE : AN INTRODUCTION MAURIZIO GRILLI - HEAD OF INVESTMENT MANAGEMENT ANALYSIS AND STRATEGY FOREWORD One of the motives that led us to research the application of style (or factor)1 investing to the real estate sector descends from our desire to describe real estate investment to investment generalist or specialists of other asset classes. It is well known that direct real estate investments is more illiquid than other major asset classes such as bonds and equity. Moreover, real estate jargon is very technical. The combination of these dynamics has resulted in some investors believing that real estate is fundamentally different from other major asset classes. However, all asset classes can actually be explained in terms of risk and performance. This is exactly what we like about style investing, as we can use it as a tool to create a link between the ‘classical’ asset management and the real estate worlds. Style investing in the stock market has been studied since the 1970s. Nowadays, this approach has become very popular and is increasingly gaining media exposure. Why? Because style investing methodology is intuitive, albeit rigorous and data-driven, and can be applied to the reality of day-to-day investment. In short, the beauty of this methodology is that it creates the link between behavioural finance and quantitative analysis. Through the adoption of style investing, investors can spell out their preferences in terms of risk and reward while the manager, on the other side, can create tailor-made solutions that cater to their precise needs. -
Thinking Alternative
Alternative Thinking Style Investing in Fixed Income Systematic style investing is increasingly popular in equity markets but much less frequently applied in fixed income markets. In this paper, we show that the classic style premia that have been applied to stock selection and equity country allocation — value, momentum, carry, and defensive — could have also performed well in fixed income markets, whether in selecting government bonds or corporate bonds. Fixed income may be the next frontier for style investing. AQR Capital Management, LLC Two Greenwich Plaza Greenwich, CT 06830 p: +1.203.742.3600 f: +1.203.742.3100 Third Quarter 2016 w: aqr.com Alternative Thinking | Style Investing in Fixed Income 1 Executive Summary Introduction Systematic style investing has become Style premia, or factor-based, investing has been increasingly popular in stock selection and has applied in equity markets for over 20 years and has also gained followers in market-neutral, multi- become increasingly popular, mainly in long-only asset-class applications. The most pervasive applications (i.e., “smart beta”). Style investing has styles with positive long-run historical track also been extended to long/short, market-neutral records in many asset classes include value, applications in several asset classes, including momentum, carry and defensive (based on bonds, currencies and commodities. Still, style evidence we’ve provided in other papers that investing appears to have a smaller footprint in FI cheap, recently improving, high-yielding and than in equities, both in academic literature and in boring low risk or high quality assets tend investment practice (see Brooks and Moskowitz to outperform in the long run).1 (2016, forthcoming) and Israel, Palhares and Richardson (“IPR” 2016)). -
An Investigation Into Sentiment-Induced Institutional Trading Behavior and Asset Pricing in the REIT Market
An investigation into sentiment-induced institutional trading behavior and asset pricing in the REIT market Article Accepted Version Das, P. K., Freybote, J. and Marcato, G. (2015) An investigation into sentiment-induced institutional trading behavior and asset pricing in the REIT market. Journal of Real Estate Finance and Economics, 51 (2). pp. 160-189. ISSN 1573-045X doi: https://doi.org/10.1007/s11146-014-9490-z Available at http://centaur.reading.ac.uk/60285/ It is advisable to refer to the publisher’s version if you intend to cite from the work. See Guidance on citing . To link to this article DOI: http://dx.doi.org/10.1007/s11146-014-9490-z Publisher: Springer All outputs in CentAUR are protected by Intellectual Property Rights law, including copyright law. Copyright and IPR is retained by the creators or other copyright holders. Terms and conditions for use of this material are defined in the End User Agreement . www.reading.ac.uk/centaur CentAUR Central Archive at the University of Reading Reading’s research outputs online An Investigation into Sentiment-Induced Institutional Trading Behavior and Asset Pricing in the REIT Market Prashant K. Das1 Julia Freybote2 Gianluca Marcato3 ABSTRACT Institutional investors such as pension funds or insurance companies commonly invest in the unsecuritized and securitized real estate market. We investigate how institutional investor sentiment in the commercial real estate market affects institutional trading behavior in the REIT market and subsequently asset pricing. In particular, we test two alternative theories - flight to liquidity and style investing theory - to explain the sentiment-induced trading behavior of institutional investors in the REIT market for the pre-crisis (2002-2006), crisis (2007-2009) and post-crisis (2010-2012) period. -
Multi-Factor Models and the Arbitrage Pricing Theory (APT)
Multi-Factor Models and the Arbitrage Pricing Theory (APT) Econ 471/571, F19 - Bollerslev APT 1 Introduction The empirical failures of the CAPM is not really that surprising ,! We had to make a number of strong and pretty unrealistic assumptions to arrive at the CAPM ,! All investors are rational, only care about mean and variance, have the same expectations, ... ,! Also, identifying and measuring the return on the market portfolio of all risky assets is difficult, if not impossible (Roll Critique) In this lecture series we will study an alternative approach to asset pricing called the Arbitrage Pricing Theory, or APT ,! The APT was originally developed in 1976 by Stephen A. Ross ,! The APT starts out by specifying a number of “systematic” risk factors ,! The only risk factor in the CAPM is the “market” Econ 471/571, F19 - Bollerslev APT 2 Introduction: Multiple Risk Factors Stocks in the same industry tend to move more closely together than stocks in different industries ,! European Banks (some old data): Source: BARRA Econ 471/571, F19 - Bollerslev APT 3 Introduction: Multiple Risk Factors Other common factors might also affect stocks within the same industry ,! The size effect at work within the banking industry (some old data): Source: BARRA ,! How does this compare to the CAPM tests that we just talked about? Econ 471/571, F19 - Bollerslev APT 4 Multiple Factors and the CAPM Suppose that there are only two fundamental sources of systematic risks, “technology” and “interest rate” risks Suppose that the return on asset i follows the -
Chapter 10: Arbitrage Pricing Theory and Multifactor Models of Risk and Return
CHAPTER 10: ARBITRAGE PRICING THEORY AND MULTIFACTOR MODELS OF RISK AND RETURN CHAPTER 10: ARBITRAGE PRICING THEORY AND MULTIFACTOR MODELS OF RISK AND RETURN PROBLEM SETS 1. The revised estimate of the expected rate of return on the stock would be the old estimate plus the sum of the products of the unexpected change in each factor times the respective sensitivity coefficient: revised estimate = 12% + [(1 × 2%) + (0.5 × 3%)] = 15.5% 2. The APT factors must correlate with major sources of uncertainty, i.e., sources of uncertainty that are of concern to many investors. Researchers should investigate factors that correlate with uncertainty in consumption and investment opportunities. GDP, the inflation rate, and interest rates are among the factors that can be expected to determine risk premiums. In particular, industrial production (IP) is a good indicator of changes in the business cycle. Thus, IP is a candidate for a factor that is highly correlated with uncertainties that have to do with investment and consumption opportunities in the economy. 3. Any pattern of returns can be “explained” if we are free to choose an indefinitely large number of explanatory factors. If a theory of asset pricing is to have value, it must explain returns using a reasonably limited number of explanatory variables (i.e., systematic factors). 4. Equation 10.9 applies here: E(rp ) = rf + βP1 [E(r1 ) rf ] + βP2 [E(r2 ) – rf ] We need to find the risk premium (RP) for each of the two factors: RP1 = [E(r1 ) rf ] and RP2 = [E(r2 ) rf ] In order to do so, we solve the following system of two equations with two unknowns: .31 = .06 + (1.5 × RP1 ) + (2.0 × RP2 ) .27 = .06 + (2.2 × RP1 ) + [(–0.2) × RP2 ] The solution to this set of equations is: RP1 = 10% and RP2 = 5% Thus, the expected return-beta relationship is: E(rP ) = 6% + (βP1 × 10%) + (βP2 × 5%) 5. -
TO GRAFT OR NOT to GRAFT? an UPDATE on GINGIVAL GRAFTING DIAGNOSIS and TREATMENT MODALITIES Richard J
October 2018 Gingival Recession Autogenous Soft Tissue Grafting Tissue Engineering JournaCALIFORNIA DENTAL ASSOCIATION TO GRAFT OR NOT TO GRAFT? AN UPDATE ON GINGIVAL GRAFTING DIAGNOSIS AND TREATMENT MODALITIES Richard J. Nagy, DDS Ready to save 20%? Let’s go! Discover The Dentists Supply Company’s online shopping experience that delivers CDA members the supplies they need at discounts that make a difference. Price compare and save at tdsc.com. Price comparisons are made to the manufacturer’s list price. Actual savings on tdsc.com will vary on a product-by-product basis. Oct. 2018 CDA JOURNAL, VOL 46, Nº10 DEPARTMENTS 605 The Editor/Nothing but the Tooth 607 Letter to the Editor 609 Impressions 663 RM Matters/Are Your Patients Who They Say They Are? Preventing Medical Identity Theft 667 Regulatory Compliance/OSHA Regulations: Fire Extinguishers, Eyewash, Exit Signs 609 674 Tech Trends FEATURES 615 To Graft or Not To Graft? An Update on Gingival Grafting Diagnosis and Treatment Modalities An introduction to the issue. Richard J. Nagy, DDS 617 Gingival Recession: What Is It All About? This article reviews factors that enhance the risk for gingival recession, describes at what stage interceptive treatment should be recommended and expected outcomes. Debra S. Finney, DDS, MS, and Richard T. Kao, DDS, PhD 625 Autogenous Soft Tissue Grafting for the Treatment of Gingival Recession This article reviews the use of autogenous soft tissue grafting for root coverage. Advantages and disadvantages of techniques are discussed. Case types provide indications for selection and treatment. Elissa Green, DMD; Soma Esmailian Lari, DMD; and Perry R.