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CHAPTER 16 ESTIMATING EQUITY VALUE PER SHARE in Chapter 15, We Considered How Best to Estimate the Value of the Operating Assets of the Firm
1 CHAPTER 16 ESTIMATING EQUITY VALUE PER SHARE In Chapter 15, we considered how best to estimate the value of the operating assets of the firm. To get from that value to the firm value, you have to consider cash, marketable securities and other non-operating assets held by a firm. In particular, you have to value holdings in other firms and deal with a variety of accounting techniques used to record such holdings. To get from firm value to equity value, you have to determine what should be subtracted out from firm value – i.e, the value of the non-equity claims in the firm. Once you have valued the equity in a firm, it may appear to be a relatively simple exercise to estimate the value per share. All it seems you need to do is divide the value of the equity by the number of shares outstanding. But, in the case of some firms, even this simple exercise can become complicated by the presence of management and employee options. In this chapter, we will measure the magnitude of this option overhang on valuation and then consider ways of incorporating the effect into the value per share. The Value of Non-operating Assets Firms have a number of assets on their books that can be categorized as non- operating assets. The first and obvious one is cash and near-cash investments – investments in riskless or very low-risk investments that most companies with large cash balances make. The second is investments in equities and bonds of other firms, sometimes for investment reasons and sometimes for strategic ones. -
The Cost of Equity Capital for Reits: an Examination of Three Asset-Pricing Models
MIT Center for Real Estate September, 2000 The Cost of Equity Capital for REITs: An Examination of Three Asset-Pricing Models David N. Connors Matthew L. Jackman Thesis, 2000 © Massachusetts Institute of Technology, 2000. This paper, in whole or in part, may not be cited, reproduced, or used in any other way without the written permission of the authors. Comments are welcome and should be directed to the attention of the authors. MIT Center for Real Estate, 77 Massachusetts Avenue, Building W31-310, Cambridge, MA, 02139-4307 (617-253-4373). THE COST OF EQUITY CAPITAL FOR REITS: AN EXAMINATION OF THREE ASSET-PRICING MODELS by David Neil Connors B.S. Finance, 1991 Bentley College and Matthew Laurence Jackman B.S.B.A. Finance, 1996 University of North Carolinaat Charlotte Submitted to the Department of Urban Studies and Planning in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN REAL ESTATE DEVELOPMENT at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2000 © 2000 David N. Connors & Matthew L. Jackman. All Rights Reserved. The authors hereby grant to MIT permission to reproduce and to distribute publicly paper and electronic (\aopies of this thesis in whole or in part. Signature of Author: - T L- . v Department of Urban Studies and Planning August 1, 2000 Signature of Author: IN Department of Urban Studies and Planning August 1, 2000 Certified by: Blake Eagle Chairman, MIT Center for Real Estate Thesis Supervisor Certified by: / Jonathan Lewellen Professor of Finance, Sloan School of Management Thesis Supervisor -
The Continuing Evolution of NAV Facilities
The continuing evolution of NAV facilities Meyer C. Dworkin & Samantha Hait Davis Polk & Wardwell LLP Background In recent years, credit facilities provided to private equity funds have been dominated by two forms: “Subscription Facilities” and “NAV Facilities”. Subscription Facilities – sometimes referred to as “capital call” credit facilities – have become increasingly common for newer funds with significant unfunded capital commitments, with the loans thereunder secured by the fund’s right to call such capital commitments from its investors. Availability under Subscription Facilities is subject to a “borrowing base”, calculated as an agreed advance percentage of unfunded commitments of certain “included” investors in the fund (with the inclusion and “advance rates” dependent on the creditworthiness of each such investor). Subscription Facilities are generally intended to serve a fund borrower’s short- term capital needs by bridging the time between the issuance of capital calls to investors and the time such capital is actually contributed. For many funds, however, Subscription Facilities are not a viable option, either because the fund’s organisational documents do not permit such facilities or, in the case of a mature fund, the fund has already called a significant portion of its commitments, leaving it with minimal unfunded commitments against which to borrow. These private equity funds have sought instead to raise capital through “asset backed” or net asset value facilities: “NAV Facilities”. NAV Facilities are credit facilities backed by the fund’s investment portfolio. For a “fund- of-funds”, these assets will typically be the limited partnership and other equity interests in hedge funds and private equity funds, consisting of both primary investments as well as those purchased in the secondary market. -
Growth, Profitability and Equity Value
Growth, Profitability and Equity Value Meng Li and Doron Nissim* Columbia Business School July 2014 Abstract When conducting valuation analysis, practitioners and researchers typically predict growth and profitability separately, implicitly assuming that these two value drivers are uncorrelated. However, due to economic and accounting effects, profitability shocks increase both growth and subsequent profitability, resulting in a strong positive correlation between growth and subsequent profitability. This correlation increases the expected value of future earnings and thus contributes to equity value. We show that the value effect of the growth-profitability covariance on average explains more than 10% of equity value, and its magnitude varies substantially with firm size (-), volatility (+), profitability (-), and expected growth (+). The covariance value effect is driven by both operating and financing activities, but large effects are due primarily to operating shocks. One implication of our findings is that conducting scenario analysis or using other methods that incorporate the growth-profitability correlation (e.g., Monte Carlo simulations, decision trees) is particularly important when valuing small, high volatility, low profitability, or high growth companies. In contrast, for mature, high profitability companies, covariance effects are typically small and their omission is not likely to significantly bias value estimates. * Corresponding author; 604 Uris Hall, 3022 Broadway, New York, NY 10027; phone: (212) 854-4249; [email protected]. -
Careers in Quantitative Finance by Steven E
Careers in Quantitative Finance by Steven E. Shreve1 August 2018 1 What is Quantitative Finance? Quantitative finance as a discipline emerged in the 1980s. It is also called financial engineering, financial mathematics, mathematical finance, or, as we call it at Carnegie Mellon, computational finance. It uses the tools of mathematics, statistics, and computer science to solve problems in finance. Computational methods have become an indispensable part of the finance in- dustry. Originally, mathematical modeling played the dominant role in com- putational finance. Although this continues to be important, in recent years data science and machine learning have become more prominent. Persons working in the finance industry using mathematics, statistics and computer science have come to be known as quants. Initially relegated to peripheral roles in finance firms, quants have now taken center stage. No longer do traders make decisions based solely on instinct. Top traders rely on sophisticated mathematical models, together with analysis of the current economic and financial landscape, to guide their actions. Instead of sitting in front of monitors \following the market" and making split-second decisions, traders write algorithms that make these split- second decisions for them. Banks are eager to hire \quantitative traders" who know or are prepared to learn this craft. While trading may be the highest profile activity within financial firms, it is not the only critical function of these firms, nor is it the only place where quants can find intellectually stimulating and rewarding careers. I present below an overview of the finance industry, emphasizing areas in which quantitative skills play a role. -
Net Asset Value Purchase Application Attach To: Account Application Or IRA Application
Net Asset Value Purchase Application Attach to: Account Application or IRA Application Net Asset Value Purchase is Available Because Account Owner is: All future purchases will be at NAV: Account should be coded NAV Account (a) Purchases by qualified retirement and benefit plans. (b) Non-dealer assisted (or assisted only by the Distributor) purchases by bank or trust company in a single account where such bank or trust company is named as the trustee. (c) Non-dealer assisted (or assisted only by the Distributor) purchase by banks, insurance companies, insurance company separate accounts and other institutional purchasers. (d) A registered investment adviser purchasing shares on behalf of a client or on his or her own behalf through an intermediary service institution offering a separate and established program for registered investment advisers and notifying the Funds and Distributor of such arrangement. (e) Fee-based account clients of registered investment advisers. (f) Sales through a broker-dealer to its customer under an arrangement in which the customer pays the broker-dealer a fee based on the value of the account, in lieu of transaction based brokerage. (g) Sales to broker-dealers who conduct their business with their customers principally through the Internet and do not have registered representatives who actively solicit those customers to purchase securities, including shares of the Funds. (h) Any current or retired Officer, Director or employee of the Funds, Adviser, Distributor or any affiliated company thereof. This shall also apply to their immediate family members. (i) Registered representatives, their spouses and minor children, and employees of dealer firms that have a distribution agreement with the Distributor. -
Mutual Funds: Understanding NAV, Yield, and Total Return
Mutual Funds: Understanding NAV, Yield, and Total Return Mutual fund investors will commonly encounter three key metrics: the NAV, the yield, and the total return. Comprehending the differences and inter-relationships of these metrics is critical to understanding how well (or poorly) you have done with your mutual fund selection. Calculating the NAV A mutual fund's net asset value (NAV) represents its per-share price and is calculated by dividing a fund's total net assets by its number of shares outstanding. Because shares in regular open-end mutual funds are bought and sold at NAV, NAVs may seem similar to stock prices; after all, both represent the price of one share of an investment. Both appear in newspapers and on financial websites. But that's where the similarities between NAVs and stock prices end. A mutual fund calculates its NAV by adding up the current value of all the stocks, bonds, and other securities (including cash) in its portfolio, subtracting the manager's salary and other operating expenses, and then dividing that figure by the fund's total number of shares. For example, a fund with 500,000 shares that owns $9 million in stocks and $1 million in cash has an NAV of $20. So Alike but So Very Different NAVs and stock prices differ in five important ways. 1. Stock prices change throughout the trading day, but mutual fund NAVs are calculated only once each day, based on the value of their stocks or bonds at the time the market closes. When you purchase a mutual fund, you buy shares at the NAV as of that day's close. -
Global Trends in Mid-Market Private Equity Investing
Investment Perspectives MARCH 2021 GLOBAL TRENDS IN MID-MARKET PRIVATE EQUITY INVESTING GLOBAL TRENDS IN MID-MARKET PRIVATE EQUITY INVESTING | 1 We are delighted to share our aspects in the management of There are macro developments that perspective and insights on some of portfolio companies: workers’ give us reason to be optimistic. In the major industry trends influencing safety, cost control, and supply chain December 2020, within days of the our private equity business, and what maintenance. In particular, managers, transition period deadline, a new this means for 2021 and beyond. with the support of a banking Brexit deal was agreed between the system that showed more flexibility EU and the UK, removing significant As we reflect on 2020, it is clear that compared to the last recession along uncertainty and volatility from the this was a year of two halves. Private with a greater role of private credit market. As the global vaccine rollout equity deal-making fell sharply as capital as a buffer, particularly in the gathers pace and life returns to the pandemic took hold. Sponsors middle market, ensured portfolio some form of normality, increased quickly turned their attention to their companies implemented important consumer spending will have a portfolios rather than commit to new measures aimed at safeguarding direct benefit on consumer-facing investment opportunities. Indeed, liquidity. In addition, managers businesses, albeit gradually, which there were winners, such as tech and have taken full advantage of simulates the performance of healthcare companies that benefitted programs made available by national companies coming out of a recession. from healthy capital markets and the governments, including tax breaks, History shows that this is an excellent IPO window, and losers, such as travel social security safety-nets and other time to invest. -
Efficiently Inefficient Markets for Assets and Asset Management
NBER WORKING PAPER SERIES EFFICIENTLY INEFFICIENT MARKETS FOR ASSETS AND ASSET MANAGEMENT Nicolae B. Gârleanu Lasse H. Pedersen Working Paper 21563 http://www.nber.org/papers/w21563 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 September 2015 We are grateful for helpful comments from Jules van Binsbergen, Ronen Israel, Stephen Mellas, Jim Riccobono, Andrei Shleifer, and Morten Sorensen, as well as from seminar participants at Harvard University, New York University, UC Berkeley-Haas, CEMFI, IESE, Toulouse School of Economics, MIT Sloan, Copenhagen Business School, and the conferences at Queen Mary University of London, the Cowles Foundation at Yale University, the European Financial Management Association Conference, the 7th Erasmus Liquidity Conference, the IF2015 Annual Conference in International Finance, the FRIC'15 Conference, and the Karl Borch Lecture. Pedersen gratefully acknowledges support from the European Research Council (ERC grant no. 312417) and the FRIC Center for Financial Frictions (grant no. DNRF102) The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. At least one co-author has disclosed a financial relationship of potential relevance for this research. Further information is available online at http://www.nber.org/papers/w21563.ack NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2015 by Nicolae B. Gârleanu and Lasse H. Pedersen. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. -
Nav-Error-Cbon-Cnxt-Pek-6-22-18.Pdf
VANECK ANNOUNCES REVISED NET ASSET VALUE INFORMATION FOR VANECK VECTORS CHINAAMC CHINA BOND ETF, VANECK VECTORS CHINAAMC CSI 300 ETF, AND VANECK VECTORS CHINAAMC SME-CHINEXT ETF NEW YORK (June 22, 2018) — VanEck announces the net asset value (NAV) per share of the below exchange traded funds (ETFs) was restated as shown below: Revised NAV Original NAV Change ETF Name Ticker (6/21/2018 ) (6/21/2018) (%) VanEck Vectors ChinaAMC China Bond ETF CBON 23.3826 23.7429 -1.52% VanEck Vectors ChinaAMC CSI 300 ETF PEK 42.6568 43.3496 -1.60% VanEck Vectors ChinaAMC SME-ChiNextETF CNXT 29.0834 29.5436 -1.56% These values differ from previously disclosed NAVs. The NAV adjustments are a result of an error in calculating the NAV for these ETFs. About VanEck VanEck has a history of looking beyond the financial markets to identify trends that are likely to create impactful investment opportunities. We were one of the first U.S. asset managers to offer investors access to international markets. This set the tone for the firm’s drive to identify asset classes and trends – including gold investing in 1968, emerging markets in 1993, and exchange traded funds in 2006 – that subsequently shaped the investment management industry. Today, VanEck offers active and passive strategies with compelling exposures supported by well-designed investment processes. As of April 30, 2018, VanEck managed approximately $46 billion in assets, including mutual funds, ETFs, and institutional accounts. The firm’s capabilities range from core investment opportunities to more specialized exposures to enhance portfolio diversification. Our actively managed strategies are fueled by in-depth, bottom-up research and security selection from portfolio managers with direct experience in the sectors and regions in which they invest. -
The Option to Stock Volume Ratio and Future Returns$
Journal of Financial Economics 106 (2012) 262–286 Contents lists available at SciVerse ScienceDirect Journal of Financial Economics journal homepage: www.elsevier.com/locate/jfec The option to stock volume ratio and future returns$ Travis L. Johnson n, Eric C. So Stanford University, Graduate School of Business, 655 Knight Way Stanford, CA 94305, United States article info abstract Article history: We examine the information content of option and equity volumes when trade Received 15 November 2010 direction is unobserved. In a multimarket asymmetric information model, equity Received in revised form short-sale costs result in a negative relation between relative option volume and future 11 November 2011 firm value. In our empirical tests, firms in the lowest decile of the option to stock Accepted 28 November 2011 volume ratio (O/S) outperform the highest decile by 0.34% per week (19.3% annualized). Available online 17 May 2012 Our model and empirics both indicate that O/S is a stronger signal when short-sale costs JEL classification: are high or option leverage is low. O/S also predicts future firm-specific earnings news, G11 consistent with O/S reflecting private information. G12 & 2012 Elsevier B.V. All rights reserved. G13 G14 Keywords: Short-sale costs Options Trading volume Return predictability 1. Introduction creates additional incentives to generate private informa- tion. In this way, trades in derivative markets may provide In recent decades, the availability of derivative secu- more refined and precise signals of the underlying asset’s rities has rapidly expanded. This expansion is not limited value than trades of the asset itself. -
Assessing Asset Pricing Models Using Revealed Preference∗
Assessing Asset Pricing Models using Revealed Preference∗ Jonathan B. Berk Stanford University and NBER Jules H. van Binsbergen University of Pennsylvania and NBER September 2013 This draft: March 14, 2015 Abstract We propose a new method of testing asset pricing models that relies on using quantities rather than simply prices or returns. We use the capital flows into and out of mutual funds to infer which risk model investors use. We derive a simple test statistic that allows us to infer, from a set of candidate models, the model that is closest to the model that investors use in making their capital allocation decisions. Using our method, we assess the performance of the most commonly used asset pricing models in the literature. ∗Forthcoming, Journal of Financial Economics. We are grateful to the referee for his especially clear and insightful comments. We are grateful to John Cochrane, George Constantinides, Peter DeMarzo, Wayne Ferson, Ravi Jagannathan, Valentine Haddad, Lars Hansen, John Heaton, Binying Lui, Tim McQuade, Lubos Pastor, Paul Pfleiderer, Monika Piazzesi, Anamaria Pieschacon, Martin Schneider, Ken Singleton, Rob Stambaugh, and seminar participants at the 2015 AFA meetings, Harvard, the Kellogg Junior Finance Conference, Notre Dame, Princeton University, Stanford GSB, the Stanford Institute for Theoretical Economics (SITE), the University of Chicago, University of Washington Summer Finance Conference and Washington University in St. Louis for their comments and suggestions. All neoclassical capital asset pricing models assume that investors compete fiercely with each other to find positive net present value investment opportunities, and in doing so, eliminate them. As a consequence of this competition, equilibrium prices are set so that the expected return of every asset is solely a function of its risk.