Stephen A. Ross
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Vanguard® 500 Index Fund - Admiral™ Shares 06-30-21
Release Date Vanguard® 500 Index Fund - Admiral™ Shares 06-30-21 .......................................................................................................................................................................................................................................................................................................................................... Category Large Blend Investment Objective & Strategy Portfolio Analysis From the investment's prospectus Composition as of 06-30-21 % Assets Morningstar Style Box™ as of 06-30-21 % Mkt Cap The investment seeks to track the performance of the U.S. Stocks 99.0 Large Giant 51.39 .......................................................... Standard & Poor‘s 500 Index that measures the investment Non-U.S. Stocks 1.0 Mid Large 33.89 return of large-capitalization stocks. Bonds 0.0 Medium 14.65 The fund employs an indexing investment approach Cash 0.0 Small Small 0.07 designed to track the performance of the Standard & Poor's Other 0.0 .......................................................... Micro 0.00 500 Index, a widely recognized benchmark of U.S. stock Value Blend Growth market performance that is dominated by the stocks of large U.S. companies. The advisor attempts to replicate the target Top 10 Holdings as of 06-30-21 % Assets Morningstar Equity Sectors as of 06-30-21 % Fund index by investing all, or substantially all, of its assets in the Apple Inc 5.92 h Cyclical 31.06 ....................................................................................................... -
Equity Index Fund Profile Information Current As of 03/31/2021
Equity Index Fund Profile Information current as of 03/31/2021 Risk/Reward Indicator Lower Risk/Reward Higher Risk/Reward Investment Objective Investment Managers The investment objective of the Equity Index Fund is to replicate the The Equity Index Fund is comprised of the following manager: return of the Standard & Poor’s (S&P) 500 Index. The Equity Index BNY Mellon Fund offers participants exposure to the stocks of large corporations through a passive investment vehicle. Returns on large cap equities Current Allocation have historically exceeded inflation, but with substantial volatility over short and even intermediate holding periods (risk as measured by standard deviation). Investment Guidelines The Equity Index Fund will invest in a portfolio of equity securities of companies listed on the U. S. securities exchanges that replicates the composition and characteristics of the S&P 500 Index. Fees: NYCDCP Fee versus Institutional Fund Fee NYCDCP Equity Index Fund 0.05% Institutional Median Equity Index Fund 0.07% Performance History After Fee Cumulative$IWHU)HH&XPXODWLYH5HWXUQV(QGLQJ0DUFK Returns Ending March 31, 2021 ,QFHSWLRQ 0R 5DQN <U 5DQN <UV 5DQN <UV 5DQN <UV 5DQN <UV 5DQN <UV 5DQN <UV 5DQN ,QFHSWLRQ 'DWH B (TXLW\,QGH[)XQG -DQ 6 3 -DQ ;;;;; After Fee Year-to-Date$IWHU)HH<HDUWR'DWHDQG$QQXDO5HWXUQV(QGLQJ0DUFK and Annual Returns Ending March 31, 2021 <7' B (TXLW\,QGH[)XQG 6 3 ;;;;; Cumulative Returns vs. Benchmark Top Holdings 7RS+ROGLQJV $33/(,1& 0,&5262)7&253 $0$=21&20,1& )$&(%22.,1& $/3+$%(7,1& $/3+$%(7,1& 7(6/$,1& %(5.6+,5(+$7+$:$<,1& -3025*$1&+$6( &2 -2+1621 -2+1621 Disclaimer Note: The past performance of this Fund does not guarantee future results. -
Evaluating Hedge Fund Performance in the Decade Since the Global Financial Crisis
Hedge funds for the future Evaluating hedge fund performance in the decade since the global financial crisis Russell Investments Research russellinvestments.com Contents Introduction 3 Has hedge fund performance “disappointed”? 3 The decade since the Global Financial Crisis 4 Level-setting hedge fund performance expectations 4 Performance evaluation 6 Summary of performance versus objectives 6 Details of evaluation versus each objective 8 Conclusions 13 Why the split in performance over the five years periods? 13 Guidance in determining the role of hedge funds going forward 14 Russell Investments / Hedge funds for the future: Evaluating hedge fund performance in the decade since the GFC / 2 Hedge funds for the future Evaluating hedge fund performance in the decade since the global financial crisis Kerry Galvin, CFA, Senior Consultant Over the past decade and a half, hedge funds have become commonplace in institutional investors’ portfolios. During that time, Russell Investments has been working with its clients to implement and monitor hedge fund portfolios; however, the hedge funds that we are evaluating today in investors’ portfolios are not the same as they were 10 or 15 years ago. As hedge funds have grown in asset size and their investor changed to include more institutional investors, Russell Investments has observed many managers increasing their emphasis on operational structure, risk management procedures, transparency, counter party risk and leverage. The evaluation set forth in this paper is meant to assess hedge funds as they exist today: strategies that are meant to provide a reasonable level of return, a high level of alpha and a low level of volatility, by utilizing a variety of investment instruments (e.g., stocks, bonds, futures, forwards) and shorting (i.e., the hedge). -
Manulife Asset Allocation Client Brochure
Manulife Asset Allocation Portfolios Sophisticated Investment Solutions Made Simple 1 Getting The Big Decisions Right You want a simple yet Deciding how to invest is one of life’s big decisions – effective way to invest in fact it’s a series of decisions that can have a big and Manulife Asset impact on your financial future. Allocation Portfolios It can be complicated and overwhelming, leaving you feeling uncertain offer a solution that can and anxious. The result? Many investors end up chasing fads, trends and help you get it right. short-term thinking, which can interfere with your ability to achieve long-term financial goals. As an investor, you want to make the most of your investments. You want to feel confident you’re receiving value for your money and reputable, professional advice. Big life decisions “Am I making the right investment choices?” Disappointing returns “Should I change my investing strategy?” Confusion and guesswork “How can I choose the best investment for me?” Manulife Asset Allocation Portfolios are managed by Manulife Investment Management Limited (formerly named Manulife Asset Management Limited). Manulife Asset Allocation Portfolios are available in the InvestmentPlus Series of the Manulife GIF Select, MPIP Segregated Pools and Manulife Segregated Fund Education Saving Plan insurance contracts offered by The Manufacturers Life Insurance Company. 2 Why Invest? The goal is to offset inflation and grow your wealth, while planning for important financial goals. Retirement: Canadian Education Raising a Child Pension Plan (CPP) $66,000 $253,947 $735.21 Current cost of a four-year The average cost of raising a Current average monthly payout for post-secondary education1 child from birth to age 183 new beneficiaries. -
An Overview of the Empirical Asset Pricing Approach By
AN OVERVIEW OF THE EMPIRICAL ASSET PRICING APPROACH BY Dr. GBAGU EJIROGHENE EMMANUEL TABLE OF CONTENT Introduction 1 Historical Background of Asset Pricing Theory 2-3 Model and Theory of Asset Pricing 4 Capital Asset Pricing Model (CAPM): 4 Capital Asset Pricing Model Formula 4 Example of Capital Asset Pricing Model Application 5 Capital Asset Pricing Model Assumptions 6 Advantages associated with the use of the Capital Asset Pricing Model 7 Hitches of Capital Pricing Model (CAPM) 8 The Arbitrage Pricing Theory (APT): 9 The Arbitrage Pricing Theory (APT) Formula 10 Example of the Arbitrage Pricing Theory Application 10 Assumptions of the Arbitrage Pricing Theory 11 Advantages associated with the use of the Arbitrage Pricing Theory 12 Hitches associated with the use of the Arbitrage Pricing Theory (APT) 13 Actualization 14 Conclusion 15 Reference 16 INTRODUCTION This paper takes a critical examination of what Asset Pricing is all about. It critically takes an overview of its historical background, the model and Theory-Capital Asset Pricing Model and Arbitrary Pricing Theory as well as those who introduced/propounded them. This paper critically examines how securities are priced, how their returns are calculated and the various approaches in calculating their returns. In this Paper, two approaches of asset Pricing namely Capital Asset Pricing Model (CAPM) as well as the Arbitrage Pricing Theory (APT) are examined looking at their assumptions, advantages, hitches as well as their practical computation using their formulae in their examination as well as their computation. This paper goes a step further to look at the importance Asset Pricing to Accountants, Financial Managers and other (the individual investor). -
Division of Investment Management No-Action Letter: Lazard Freres
FEB 2 1996 Our Ref. No. 95-399 RESPONSE OF THE OFFICE OF CHIEF Lazard Freres Asset COUNSEL DIVISION OF INVESTMENT Management MAAGEMENT File No.80l-6568 Your letter dated July 20, 1995 requests our assurance that we would not recommend enforcement action to the Commission under the Investment Advisers Act of 1940 ("Advisers Act ") if Lazard Freres Asset Management ("LFAM"), a registered investment adviser, charges a performance fee to BPI Capital Management Corporation (BPI Capital) with respect to the performance of the BPI Global Opportunities Fund (the "Fund"). BPI Capital is an investment counsel and portfolio manager registered under the laws of the Province of Ontario and manages 16 publicly offered mutual funds. The Fund is an open- end fund organized under the laws of the Province of Ontario. The Fund has entered into a management agreement with BPI Capital under which BPI Capital is responsible for management of the Fund's ::civestment portfolio and day- to- day management of the Fund. unics of the Fund are offered to investors in the Provinces of Ontario, Manitoba, Saskatchewan, Alberta and British Columbia pursuant to prospectus exemptions under the laws and regulations of each of these Provinces. Under such prospectus exemptions, miLimum investment amounts are CAD $150,000 for investors in Oncario and Saskatchewan and CAD $97,000 for investors in Mani toba, Alberta and British Columbia. A lower minimum amount of CAD $25,000 is available to investors in British Columbia designated as "sophisticated purchasers." No units of the Fund have been offered to any investors residing in the United States and there is no intention to offer any units of the Fund to U. -
The Recovery Theorem
The Recovery Theorem The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Ross, Steve. “The Recovery Theorem.” The Journal of Finance 70, no. 2 (April 2015): 615–48. As Published http://dx.doi.org/10.1111/jofi.12092 Publisher American Finance Association/Wiley Version Original manuscript Citable link http://hdl.handle.net/1721.1/99126 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ The Recovery Theorem Journal of Finance forthcoming Steve Ross Franco Modigliani Professor of Financial Economics Sloan School, MIT Abstract We can only estimate the distribution of stock returns but from option prices we observe the distribution of state prices. State prices are the product of risk aversion – the pricing kernel – and the natural probability distribution. The Recovery Theorem enables us to separate these so as to determine the market’s forecast of returns and the market’s risk aversion from state prices alone. Among other things, this allows us to recover the pricing kernel, the market risk premium, the probability of a catastrophe, and to construct model free tests of the efficient market hypothesis. I want to thank the participants in the UCLA Finance workshop for their insightful comments as well as Richard Roll, Hanno Lustig, Rick Antle, Andrew Jeffrey, Peter Carr, Kevin Atteson, Jessica Wachter, Ian Martin, Leonid Kogan, Torben Andersen, John Cochrane, Dimitris Papanikolaou, William Mullins, Jon Ingersoll, Jerry Hausman, Andy Lo, Steve Leroy, George Skiadopoulos, Xavier Gabaix, Patrick Dennis, Phil Dybvig, Will Mullins, Nicolas Caramp, Rodrigo Adao, the referee and the associate editor and editor. -
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. -
A Financially Justifiable and Practically Implementable Approach to Coherent Stress Testing
———————— An EDHEC-Risk Institute Working Paper A Financially Justifiable and Practically Implementable Approach to Coherent Stress Testing September 2018 ———————— 1. Introduction and Motivation 5 2. Bayesian Nets for Stress Testing 10 3. What Constitutes a Stress Scenario 13 4. The Goal 15 5. Definition of the Variables 17 6. Notation 19 7. The Consistency and Continuity Requirements 21 8. Assumptions 23 9. Obtaining the Distribution of Representative Market Indices. 25 10. Limitations and Weaknesses of the Approach 29 11. From Representative to Granular Market Indices 31 12. Some Practical Examples 35 13. Simple Extensions and Generalisations 41 Portfolio weights 14. Conclusions 43 back to their original References weights, can be a 45 source of additional About EDHEC-Risk Institute performance. 48 EDHEC-Risk Institute Publications and Position Papers (2017-2019) 53 ›2 Printed in France, July 2019. Copyright› 2EDHEC 2019. The opinions expressed in this study are those of the authors and do not necessarily reflect those of EDHEC Business School. Abstract ———————— We present an approach to stress testing that is both practically implementable and solidly rooted in well-established financial theory. We present our results in a Bayesian-net context, but the approach can be extended to different settings. We show i) how the consistency and continuity conditions are satisfied; ii) how the result of a scenario can be consistently cascaded from a small number of macrofinancial variables to the constituents of a granular portfolio; and iii) how an approximate but robust estimate of the likelihood of a given scenario can be estimated. This is particularly important for regulatory and capital-adequacy applications. -
Investment Management Update
Investment Management Update March 2012 CFTC Adopts Rule Amendments Affecting CPOs and CTAs Introduction • Eliminate an exemption available in Rule 4.7 under the CEA to commodity pools whose participants The Commodity Futures Trading Commission (CFTC) are “qualified eligible participants” from the recently adopted amendments to Part 4 of the regulations requirement to provide audited financial 1 statements in annual reports. implementing the Commodity Exchange Act (CEA). In • Incorporate by reference, rather than by full relevant part, Part 4 of the regulations sets forth the inclusion of its specific text, the accredited registration and compliance obligations for commodity pool investor standard set forth in Rule 502 of operators (CPOs) and commodity trading advisors (CTAs). Regulation D under the Securities Act of 1933, as First proposed in February 2011, the amendments implicate amended, into the definition of “qualified eligible several sections of Part 4, including Rule 4.5, upon which person” in Rule 4.7. many mutual funds and other registered investment • Adopt new Rule 4.27, which requires registered 2 CPOs and CTAs to annually file, respectively, Forms companies rely to avoid registering as a CPO. As adopted, CPO-PQR and CTA-PR with the National Futures revised Rule 4.5 will significantly narrow the relief from CPO Association (NFA). registration currently available for advisers to, and sponsors • Adopt a mandatory Risk Disclosure Statement for of, registered investment companies. Furthermore, since CPOs and CTAs addressing certain risks specific to many advisers to investment companies rely on a CTA swap transactions. registration exemption that is dependent upon the investment company’s ability to rely on Rule 4.5, the Amendments to Rule 4.5 amendments to Rule 4.5 will result in more advisers to Background registered investment companies having to register as CTAs. -
A Discrete-Time Approach to Evaluate Path-Dependent Derivatives in a Regime-Switching Risk Model
risks Article A Discrete-Time Approach to Evaluate Path-Dependent Derivatives in a Regime-Switching Risk Model Emilio Russo Department of Economics, Statistics and Finance, University of Calabria, Ponte Bucci cubo 1C, 87036 Rende (CS), Italy; [email protected] Received: 29 November 2019; Accepted: 25 January 2020 ; Published: 29 January 2020 Abstract: This paper provides a discrete-time approach for evaluating financial and actuarial products characterized by path-dependent features in a regime-switching risk model. In each regime, a binomial discretization of the asset value is obtained by modifying the parameters used to generate the lattice in the highest-volatility regime, thus allowing a simultaneous asset description in all the regimes. The path-dependent feature is treated by computing representative values of the path-dependent function on a fixed number of effective trajectories reaching each lattice node. The prices of the analyzed products are calculated as the expected values of their payoffs registered over the lattice branches, invoking a quadratic interpolation technique if the regime changes, and capturing the switches among regimes by using a transition probability matrix. Some numerical applications are provided to support the model, which is also useful to accurately capture the market risk concerning path-dependent financial and actuarial instruments. Keywords: regime-switching risk; market risk; path-dependent derivatives; insurance policies; binomial lattices; discrete-time models 1. Introduction With the aim of providing an accurate evaluation of the risks affecting financial markets, a wide range of empirical research evidences that asset returns show stochastic volatility patterns and fatter tails with respect to the standard normal model. -
PWC and Elwood
2020 Crypto Hedge Fund Report Contents Introduction to Crypto Hedge Fund Report 3 Key Takeaways 4 Survey Data 5 Investment Data 6 Strategy Insights 6 Market Analysis 7 Assets Under Management (AuM) 8 Fund performance 9 Fees 10 Cryptocurrencies 11 Derivatives and Leverage 12 Non-Investment Data 13 Team Expertise 13 Custody and Counterparty Risk 15 Governance 16 Valuation and Fund Administration 16 Liquidity and Lock-ups 17 Legal and Regulatory 18 Tax 19 Survey Respondents 20 About PwC & Elwood 21 Introduction to Crypto Hedge Fund report In this report we provide an overview of the global crypto hedge fund landscape and offer insights into both quantitative elements (such as liquidity terms, trading of cryptocurrencies and performance) and qualitative aspects, such as best practice with respect to custody and governance. By sharing these insights with the broader crypto industry, our goal is to encourage the adoption of sound practices by market participants as the ecosystem matures. The data contained in this report comes from research that was conducted in Q1 2020 across the largest global crypto hedge funds by assets under management (AuM). This report specifically focuses on crypto hedge funds and excludes data from crypto index/tracking/passive funds and crypto venture capital funds. 3 | 2020 Crypto Hedge Fund Report Key Takeaways: Size of the Market and AuM: Performance and Fees: • We estimate that the total AuM of crypto hedge funds • The median crypto hedge fund returned +30% in 2019 (vs - globally increased to over US$2 billion in 2019 from US$1 46% in 2018). billion the previous year.