Principles for the Valuation of Hedge Fund Portfolios
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Asset Securitization
L-Sec Comptroller of the Currency Administrator of National Banks Asset Securitization Comptroller’s Handbook November 1997 L Liquidity and Funds Management Asset Securitization Table of Contents Introduction 1 Background 1 Definition 2 A Brief History 2 Market Evolution 3 Benefits of Securitization 4 Securitization Process 6 Basic Structures of Asset-Backed Securities 6 Parties to the Transaction 7 Structuring the Transaction 12 Segregating the Assets 13 Creating Securitization Vehicles 15 Providing Credit Enhancement 19 Issuing Interests in the Asset Pool 23 The Mechanics of Cash Flow 25 Cash Flow Allocations 25 Risk Management 30 Impact of Securitization on Bank Issuers 30 Process Management 30 Risks and Controls 33 Reputation Risk 34 Strategic Risk 35 Credit Risk 37 Transaction Risk 43 Liquidity Risk 47 Compliance Risk 49 Other Issues 49 Risk-Based Capital 56 Comptroller’s Handbook i Asset Securitization Examination Objectives 61 Examination Procedures 62 Overview 62 Management Oversight 64 Risk Management 68 Management Information Systems 71 Accounting and Risk-Based Capital 73 Functions 77 Originations 77 Servicing 80 Other Roles 83 Overall Conclusions 86 References 89 ii Asset Securitization Introduction Background Asset securitization is helping to shape the future of traditional commercial banking. By using the securities markets to fund portions of the loan portfolio, banks can allocate capital more efficiently, access diverse and cost- effective funding sources, and better manage business risks. But securitization markets offer challenges as well as opportunity. Indeed, the successes of nonbank securitizers are forcing banks to adopt some of their practices. Competition from commercial paper underwriters and captive finance companies has taken a toll on banks’ market share and profitability in the prime credit and consumer loan businesses. -
Financial Literacy and Portfolio Diversification
WORKING PAPER NO. 212 Financial Literacy and Portfolio Diversification Luigi Guiso and Tullio Jappelli January 2009 University of Naples Federico II University of Salerno Bocconi University, Milan CSEF - Centre for Studies in Economics and Finance DEPARTMENT OF ECONOMICS – UNIVERSITY OF NAPLES 80126 NAPLES - ITALY Tel. and fax +39 081 675372 – e-mail: [email protected] WORKING PAPER NO. 212 Financial Literacy and Portfolio Diversification Luigi Guiso and Tullio Jappelli Abstract In this paper we focus on poor financial literacy as one potential factor explaining lack of portfolio diversification. We use the 2007 Unicredit Customers’ Survey, which has indicators of portfolio choice, financial literacy and many demographic characteristics of investors. We first propose test-based indicators of financial literacy and document the extent of portfolio under-diversification. We find that measures of financial literacy are strongly correlated with the degree of portfolio diversification. We also compare the test-based degree of financial literacy with investors’ self-assessment of their financial knowledge, and find only a weak relation between the two measures, an issue that has gained importance after the EU Markets in Financial Instruments Directive (MIFID) has required financial institutions to rate investors’ financial sophistication through questionnaires. JEL classification: E2, D8, G1 Keywords: Financial literacy, Portfolio diversification. Acknowledgements: We are grateful to the Unicredit Group, and particularly to Daniele Fano and Laura Marzorati, for letting us contribute to the design and use of the UCS survey. European University Institute and CEPR. Università di Napoli Federico II, CSEF and CEPR. Table of contents 1. Introduction 2. The portfolio diversification puzzle 3. The data 4. -
Arbitrage Pricing Theory∗
ARBITRAGE PRICING THEORY∗ Gur Huberman Zhenyu Wang† August 15, 2005 Abstract Focusing on asset returns governed by a factor structure, the APT is a one-period model, in which preclusion of arbitrage over static portfolios of these assets leads to a linear relation between the expected return and its covariance with the factors. The APT, however, does not preclude arbitrage over dynamic portfolios. Consequently, applying the model to evaluate managed portfolios contradicts the no-arbitrage spirit of the model. An empirical test of the APT entails a procedure to identify features of the underlying factor structure rather than merely a collection of mean-variance efficient factor portfolios that satisfies the linear relation. Keywords: arbitrage; asset pricing model; factor model. ∗S. N. Durlauf and L. E. Blume, The New Palgrave Dictionary of Economics, forthcoming, Palgrave Macmillan, reproduced with permission of Palgrave Macmillan. This article is taken from the authors’ original manuscript and has not been reviewed or edited. The definitive published version of this extract may be found in the complete The New Palgrave Dictionary of Economics in print and online, forthcoming. †Huberman is at Columbia University. Wang is at the Federal Reserve Bank of New York and the McCombs School of Business in the University of Texas at Austin. The views stated here are those of the authors and do not necessarily reflect the views of the Federal Reserve Bank of New York or the Federal Reserve System. Introduction The Arbitrage Pricing Theory (APT) was developed primarily by Ross (1976a, 1976b). It is a one-period model in which every investor believes that the stochastic properties of returns of capital assets are consistent with a factor structure. -
Arbitrage Pricing Theory
Federal Reserve Bank of New York Staff Reports Arbitrage Pricing Theory Gur Huberman Zhenyu Wang Staff Report no. 216 August 2005 This paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in the paper are those of the authors and are not necessarily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Arbitrage Pricing Theory Gur Huberman and Zhenyu Wang Federal Reserve Bank of New York Staff Reports, no. 216 August 2005 JEL classification: G12 Abstract Focusing on capital asset returns governed by a factor structure, the Arbitrage Pricing Theory (APT) is a one-period model, in which preclusion of arbitrage over static portfolios of these assets leads to a linear relation between the expected return and its covariance with the factors. The APT, however, does not preclude arbitrage over dynamic portfolios. Consequently, applying the model to evaluate managed portfolios is contradictory to the no-arbitrage spirit of the model. An empirical test of the APT entails a procedure to identify features of the underlying factor structure rather than merely a collection of mean-variance efficient factor portfolios that satisfies the linear relation. Key words: arbitrage, asset pricing model, factor model Huberman: Columbia University Graduate School of Business (e-mail: [email protected]). Wang: Federal Reserve Bank of New York and University of Texas at Austin McCombs School of Business (e-mail: [email protected]). This review of the arbitrage pricing theory was written for the forthcoming second edition of The New Palgrave Dictionary of Economics, edited by Lawrence Blume and Steven Durlauf (London: Palgrave Macmillan). -
Arbitrage Pricing Theory: Theory and Applications to Financial Data Analysis Basic Investment Equation
Risk and Portfolio Management Spring 2010 Arbitrage Pricing Theory: Theory and Applications To Financial Data Analysis Basic investment equation = Et equity in a trading account at time t (liquidation value) = + Δ Rit return on stock i from time t to time t t (includes dividend income) = Qit dollars invested in stock i at time t r = interest rate N N = + Δ + − ⎛ ⎞ Δ ()+ Δ Et+Δt Et Et r t ∑Qit Rit ⎜∑Qit ⎟r t before rebalancing, at time t t i=1 ⎝ i=1 ⎠ N N N = + Δ + − ⎛ ⎞ Δ + ε ()+ Δ Et+Δt Et Et r t ∑Qit Rit ⎜∑Qit ⎟r t ∑| Qi(t+Δt) - Qit | after rebalancing, at time t t i=1 ⎝ i=1 ⎠ i=1 ε = transaction cost (as percentage of stock price) Leverage N N = + Δ + − ⎛ ⎞ Δ Et+Δt Et Et r t ∑Qit Rit ⎜∑Qit ⎟r t i=1 ⎝ i=1 ⎠ N ∑ Qit Ratio of (gross) investments i=1 Leverage = to equity Et ≥ Qit 0 ``Long - only position'' N ≥ = = Qit 0, ∑Qit Et Leverage 1, long only position i=1 Reg - T : Leverage ≤ 2 ()margin accounts for retail investors Day traders : Leverage ≤ 4 Professionals & institutions : Risk - based leverage Portfolio Theory Introduce dimensionless quantities and view returns as random variables Q N θ = i Leverage = θ Dimensionless ``portfolio i ∑ i weights’’ Ei i=1 ΔΠ E − E − E rΔt ΔE = t+Δt t t = − rΔt Π Et E ~ All investments financed = − Δ Ri Ri r t (at known IR) ΔΠ N ~ = θ Ri Π ∑ i i=1 ΔΠ N ~ ΔΠ N ~ ~ N ⎛ ⎞ ⎛ ⎞ 2 ⎛ ⎞ ⎛ ⎞ E = θ E Ri ; σ = θ θ Cov Ri , R j = θ θ σ σ ρ ⎜ Π ⎟ ∑ i ⎜ ⎟ ⎜ Π ⎟ ∑ i j ⎜ ⎟ ∑ i j i j ij ⎝ ⎠ i=1 ⎝ ⎠ ⎝ ⎠ ij=1 ⎝ ⎠ ij=1 Sharpe Ratio ⎛ ΔΠ ⎞ N ⎛ ~ ⎞ E θ E R ⎜ Π ⎟ ∑ i ⎜ i ⎟ s = s()θ ,...,θ = ⎝ ⎠ = i=1 ⎝ ⎠ 1 N ⎛ ΔΠ ⎞ N σ ⎜ ⎟ θ θ σ σ ρ Π ∑ i j i j ij ⎝ ⎠ i=1 Sharpe ratio is homogeneous of degree zero in the portfolio weights. -
Introduction and Overview of 40 Act Liquid Alternative Funds
Introduction and Overview of 40 Act Liquid Alternative Funds July 2013 Citi Prime Finance Introduction and Overview of 40 Act Liquid Alternative Funds I. Introduction 5 II. Overview of Alternative Open-End Mutual Funds 6 Single-Manager Mutual Funds 6 Multi-Alternative Mutual Funds 8 Managed Futures Mutual Funds 9 III. Overview of Alternative Closed-End Funds 11 Alternative Exchange-Traded Funds 11 Continuously Offered Interval or Tender Offer Funds 12 Business Development Companies 13 Unit Investment Trusts 14 IV. Requirements for 40 Act Liquid Alternative Funds 15 Registration and Regulatory Filings 15 Key Service Providers 16 V. Marketing and Distributing 40 Act Liquid Alternative Funds 17 Mutual Fund Share Classes 17 Distribution Channels 19 Marketing Strategy 20 Conclusion 22 Introduction and Overview of 40 Act Liquid Alternative Funds | 3 Section I: Introduction and Overview of 40 Act Liquid Alternative Funds This document is an introduction to ’40 Act funds for hedge fund managers exploring the possibilities available within the publically offered funds market in the United States. The document is not a comprehensive manual for the public funds market; instead, it is a primer for the purpose of introducing the different fund products and some of their high-level requirements. This document does not seek to provide any legal advice. We do not intend to provide any opinion in this document that could be considered legal advice by our team. We would advise all firms looking at these products to engage with a qualified law firm or outside general counsel to review the detailed implications of moving into the public markets and engaging with United States regulators of those markets. -
Proposed Rule
Vol. 76 Friday, No. 29 February 11, 2011 Part V Commodity Futures Trading Commission 17 CFR Part 4 Securities and Exchange Commission 17 CFR Parts 275 and 279 Reporting by Investment Advisers to Private Funds and Certain Commodity Pool Operators and Commodity Trading Advisors on Form PF; Proposed Rule VerDate Mar<15>2010 21:44 Feb 10, 2011 Jkt 223001 PO 00000 Frm 00001 Fmt 4717 Sfmt 4717 E:\FR\FM\11FEP3.SGM 11FEP3 srobinson on DSKHWCL6B1PROD with PROPOSALS3 8068 Federal Register / Vol. 76, No. 29 / Friday, February 11, 2011 / Proposed Rules COMMODITY FUTURES TRADING Commission, Three Lafayette Centre, Web site (http://www.sec.gov/rules/ COMMISSION 1155 21st Street, NW., Washington, DC proposed.shtml). Comments are also 20581. available for Web site viewing and 17 CFR Part 4 • Hand Delivery/Courier: Same as printing in the SEC’s Public Reference RIN 3038–AD03 mail above. Room, 100 F Street, NE., Washington, • Federal eRulemaking Portal: http:// DC 20549 on official business days SECURITIES AND EXCHANGE www.regulations.gov. Follow the between the hours of 10 a.m. and 3 p.m. COMMISSION instructions for submitting comments. All comments received will be posted ‘‘Form PF’’ must be in the subject field without change; we do not edit personal 17 CFR Parts 275 and 279 of comments submitted via e-mail, and identifying information from clearly indicated on written submissions. You should submit only [Release No. IA–3145; File No. S7–05–11] submissions. All comments must be information that you wish to make RIN 3235–AK92 submitted in English, or if not, available publicly. -
Minutes of the Meeting Held on August 6, 2020 Present: Francis Murphy
Minutes of the meeting held on August 6, 2020 Present: Francis Murphy – Chairman, James Monagle, Michael Gardner, Nadia Chamblin- Foster, John Shinkwin, David Kale, Ellen Philbin, Rafik Ghazarian and Chris Burns. The meeting was called to order at 11:05 AM. The meeting was digitally recorded. Agenda Item #1 – Segal Marco Advisors Ghazarian reviewed Segal Marco’s written analysis of investment performance for the period ending June 30, 2020. Markets bounced back strongly following the losses in the early part of the year, but still remain negative on a year-to-date basis. Ghazarian reviewed the system’s current asset allocation. The system funded the investment with the Pinebridge bank loans fund in July. The system is slightly short of the target allocation in real estate. The hedge fund allocation was cut and is now targeted to 5% of the portfolio. Overall, the total fund was valued at $1.322 billion, representing a gain of 9.94% during the quarter. The fund underperformed with the policy index return of 13.99%. Ghazarian stated that part of this underperformance was attributable to the underperformance of value stocks. Another issue was the drop in the price of Cambridge Bancorp stock, which dragged down the entire equity sleeve. Lazard has also continued to underperform. The hedge fund sleeve also saw poor performance, returning 1.25% in the last quarter, vs. the benchmark at 7.25%. Ghazarain stated that a number of his clients had asked about “recovery funds” which have advertised returns of 15-20%. He noted that some similar funds had very strong performance after the 2008 financial crisis. -
Building Efficient Hedge Fund Portfolios August 2017
Building Efficient Hedge Fund Portfolios August 2017 Investors typically allocate assets to hedge funds to access return, risk and diversification characteristics they can’t get from other investments. The hedge fund universe includes a wide variety of strategies and styles that can help investors achieve this objective. Why then, do so many investors make significant allocations to hedge fund strategies that provide the least portfolio benefit? In this paper, we look to hedge fund data for evidence that investors appear to be missing out on the core benefits of hedge fund investing and we attempt to understand why. The. Basics Let’s start with the assumption that an investor’s asset allocation is fairly similar to the general investing population. That is, the portfolio is dominated by equities and equity‐like risk. Let’s also assume that an investor’s reason for allocating to hedge funds is to achieve a more efficient portfolio, i.e., higher return per unit of risk taken. In order to make a portfolio more efficient, any allocation to hedge funds must include some combination of the following (relative to the overall portfolio): Higher return Lower volatility Lower correlation The Goal Identify return streams that deliver any or all of the three characteristics listed above. In a perfect world, the best allocators would find return streams that accomplish all three of these goals ‐ higher return, lower volatility, and lower correlation. In the real world, that is quite difficult to do. There are always trade‐ offs. In some cases, allocators accept tradeoffs to increase the probability of achieving specific objectives. -
The Impact of Portfolio Financing on Alpha Generation by H…
The Impact of Portfolio Financing on Alpha Generation by Hedge Funds An S3 Asset Management Commentary by Robert Sloan, Managing Partner and Krishna Prasad, Partner S3 Asset Management 590 Madison Avenue, 32nd Floor New York, NY 10022 Telephone: 212-759-5222 www.S3asset.com September 2004 Building a successful hedge fund requires more than just the traditional three Ps of Pedigree, Performance and Philosophy. As hedge funds’ popularity increases, it is increasingly clear that Process needs to be considered the 4th P in alpha generation. Clearly, balance sheet management, also known as securities or portfolio financing, is a key element of “process” as it adds to alpha (the hedge fund manager’s excess rate of return as compared to a benchmark). Typically, hedge funds surrender their balance sheet to their prime broker and do not fully understand the financing alpha that they often leave on the table. The prime brokerage business is an oligopoly and the top three providers virtually control the pricing of securities financing. Hedge funds and their investors therefore need to pay close heed to the value provided by their prime broker as it has a direct impact on alpha and the on-going health of a fund. Abstract As investors seek absolute returns, hedge funds have grown exponentially over the past decade. In the quest for better performance, substantial premium is being placed on alpha generation skills. Now, more than ever before, there is a great degree of interest in deconstructing and better understanding the drivers of hedge fund alpha. Investors and hedge fund managers have focused on the relevance of asset allocation, stock selection, portfolio construction and trading costs on alpha. -
The Role of Gold in Today's Global Multi-Asset Portfolio
Gold October 2019 The Role of Gold in Today’s Global Multi-Asset Portfolio SPDR® Gold Strategy Team Investors have often used gold tactically in their portfolios, with an aim to help preserve wealth during market corrections, times of geopolitical stress or persistent dollar weakness. But given gold’s historically low or negative correlation with most other asset classes (See Figures 2 and 3), we believe that in addition to gold’s tactical benefits, its function as a core diversifying asset may demonstrate that gold can potentially play a more long-term strategic role in an investor’s portfolio. In fact, research has shown that the modern multi-asset portfolio may be more efficient with a strategic allocation to gold playing a crucial role as a potential core diversifier.1 In this paper, we examine how including gold in a hypothetical multi-asset portfolio that also includes global stocks, various classes of fixed income, real estate, private equity, and commodities may improve its risk-return characteristics. We found that holding between 2% and 10% of SPDR® Gold Shares (GLD®) between January 1, 20052 and September 30, 2019 may have improved the hypothetical portfolio’s cumulative returns and Sharpe ratio and lowered its maximum drawdown, as compared to a portfolio without any gold-backed investments. See Figure 7 for asset weightings of hypothetical portfolios. Gold as an Investable Since 1971, when President Nixon removed the US dollar from the gold standard, the price of gold Asset: From IPO to ETF has increased from $43.28/oz. to $1,485.30/oz at the end of September 2019. -
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