A Flight to Quality
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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. -
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]. -
Intangible Asset Monetization the Promise and the Reality
Working Paper #03 Intangible Asset Monetization The Promise and the Reality Kenan Patrick Jarboe Roland Furrow Athena Alliance April 2008 About Athena Alliance Athena Alliance is in the vanguard of identifying, understanding, analyzing, and educating on the information, intangibles, and innovation (I 3 or I-Cubed) economy. Information, knowledge, and other intangibles now power economic prosperity and wealth creation. Intangible assets—worker skills and know-how, informal relationships that feed creativity and new ideas, high-performance work organizations, formal intellectual property, brand names—are the new keys to competitive advantage. Intangibles and information drive our innovation process, a combination of formal research and informal creativity. These elements combine to produce productivity and improvement gains needed to maintain prosperity. While the economic rules have changed, public policy has not caught up. Governments are struggling with ways to utilize information, foster development of intangibles, and promote innovation and competitiveness in this new economy. Policymakers are grappling with the urgent need to frame policy questions in light of the changing economic situation. Issues of developing and utilizing information, managing intangibles, and fostering innovation underlie discussions on a variety of subjects, such as intellectual property rights, education and training policy, economic development, technology policy, and trade policy. Crafting new policies in these areas requires infusing a better understanding -
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. -
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. -
IP Management | Ipdigit 8/11/13 20:24
IP Management | IPdigIT 8/11/13 20:24 ! Navigation $ ARTICLE % COPYRIGHT/RELATED RIGHTS, MEDIA IP Management By Paul Belleflamme & 16 November 2011 ' 35 In their book ‘Information Rules‘ (1999), Carl Shapiro and Hal Varian write the following: ) “The important thing is to maximise the value of your intellectual property, not to protect it for the sake of protection.“ Picture by gurdonark I would like you to express your views about this sentence, based on two articles that Alain Strowel and myself have recently posted on this site. 1. In “Bayer’s aspirin: a lasting success without patent and strong trademark protection“, Alain Strowel explains how trademark protection can usefully supplement patent protection once patents have expired. 2. In “LEGO: Dr. Jekyll and Mr. Hyde?“, I try to rationalize the seemingly ambivalent attitude of LEGO with respect to intellectual property. About Paul Belleflamme Paul Belleflamme is professor at Université catholique de Louvain. He is attached to the Center for Operations Research and Econometrics (CORE) and to the Louvain School of Management, where he teaches courses in the fields of Industrial Organization and Managerial Economics. More info & contact View all posts by Paul Belleflamme → ( Tags: IP management ∠ What to think of ‘patent trolls’? The return La CJUE dit non à la « big-brotherisation » des réseaux peer to peer. ∠ 35 Responses to IP Management Franck Cipolla 17 December 2012 at 12:37 # Edit Creativity and innovation are critical to the success of companies. In a nutshell, “innovation is the process through which new ideas are generated and ultimately put into the marketplace” (Eric Burkhard). -
Download Supporting Investment in Knowledge Capital, Growth And
Supporting Investment in Knowledge Capital, Growth and Innovation Contents Introduction and overview Supporting Investment Chapter 1. Knowledge-based capital, innovation and resource allocation Chapter 2. Taxation and knowledge-based capital in Knowledge Capital, Chapter 3. Competition policy and knowledge-based capital Chapter 4. Measuring knowledge-based capital Growth and Innovation Chapter 5. Knowledge-based capital and upgrading in global value chains Chapter 6. Knowledge networks and markets Chapter 7. Corporate reporting and knowledge-based capital Chapter 8. Exploring data-driven innovation as a new source of growth: Mapping the policy issues raised by “big data” Supporting Investment in Knowledge Capital, Growth Innovation and Capital, Knowledge in Supporting Investment Consult this publication on line at http://dx.doi.org/10.1787/9789264193307-en. This work is published on the OECD iLibrary, which gathers all OECD books, periodicals and statistical databases. Visit www.oecd-ilibrary.org for more information. is BN 978-92-64-19309-3 92 2013 02 1 P -:HSTCQE=V^XU^X: Supporting Investment in Knowledge Capital, Growth and Innovation This work is published on the responsibility of the Secretary-General of the OECD. The opinions expressed and arguments employed herein do not necessarily reflect the official views of the Organisation or of the governments of its member countries. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. Please cite this publication as: OECD (2013), Supporting Investment in Knowledge Capital, Growth and Innovation, OECD Publishing. -
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. -
Fitting the Intangible Pieces Together: a Call to Arms
Slip of the tongue Fitting the intangible pieces together: a call to arms most do not understand intangibles. This is If intangibles are ever to achieve the a problem because knowledge intangibles prominence they should in business, are the key to the future of our firms, our a common language that describes communities and our national economies, what they are and how they are as well as the general one. Each kind of intangibles specialist has something to deployed needs to be developed bring to the table. But we must all come together and create a holistic view that By Mary Adams and Michael Oleksak makes sense of the confusing picture facing businesspeople when they try to figure out If you are reading this magazine, then at one what we are talking about. time or another your interest in intangibles This article describes the perspective of will have put you in the following situation. five of the principal kinds of professional that You are at a business event and make a new influence how intangibles are understood acquaintance. The two of you start chatting today: accountants, lawyers, investors, risk about intangibles. The other person tells managers and business managers. Each you enthusiastically that, yes, they work perspective is examined individually and then with intangibles too. But within a few a suggestion is outlined of how to pull them minutes, you realise that they have a all together. The goal is to develop a holistic completely different perspective. They don’t view of intangibles management that can see the field in the same way that you do. -
The Effect of Portfolio Size on the Financial Performance of Portfolios of Investment Firms in Kenya
THE EFFECT OF PORTFOLIO SIZE ON THE FINANCIAL PERFORMANCE OF PORTFOLIOS OF INVESTMENT FIRMS IN KENYA PRESENTED BY MBOGO PETER KIMANI: D61/61748/2010 A Research Project Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Business Administration (MBA), School of Business, University of Nairobi. AUGUST 2012 DECLARATION This research project is my original work and has not been submitted for the award of a degree in any other university. Signed: …………..……………………………….. Date: ………………………… Mbogo Peter Kimani Reg. No.: D61 /61748/2010 This research project has been submitted for examination with my approval as university supervisor. Signed: …………………………………………… Date: ………………………… Dr. Josiah Aduda Lecturer, Department of Finance and Accounting ii DEDICATION I dedicate this work to my wife and my children for their support during its preparation. Your patience and encouragement as I stayed away for long, either in class throughout the weekends, or in the field was really touching. iii ACKNOWLEDGEMENT A major research project like this is never the work of anyone alone. The contributions of many different people, in their different ways, have made this possible. First, I would like to thank God for the wisdom and perseverance that HE has bestowed upon me during this research project, and indeed, throughout my life. Second, I offer my sincerest gratitude to my supervisors; Dr. Josiah Aduda and Mr. Mirie Mwangi who have supported me throughout this research project with their patience and knowledge whilst allowing me the room to work in my own way. I appreciate the odd hours we spent discussing the reports. I wish to thank the respondents who participated in this study. -
COMMON FACTORS in CORPORATE BOND RETURNS Ronen Israela,C, Diogo Palharesa,D and Scott Richardsonb,E
Journal Of Investment Management, Vol. 16, No. 2, (2018), pp. 17–46 © JOIM 2018 JOIM www.joim.com COMMON FACTORS IN CORPORATE BOND RETURNS Ronen Israela,c, Diogo Palharesa,d and Scott Richardsonb,e We find that four well-known characteristics (carry, defensive, momentum, and value) explain a significant portion of the cross-sectional variation in corporate bond excess returns. These characteristics have positive risk-adjusted expected returns and are not subsumed by traditional market premia or respective equity anomalies. The returns are economically significant, not explained by macroeconomic exposures, and there is some evidence that mispricing plays a role, especially for momentum. 1 Introduction predict returns in other markets, yet researchers have not studied the viability of all these charac- Corporate bonds are an enormous—and grow- teristics to predict returns in credit markets. The ing—source of financing for companies around characteristics are carry, quality, momentum, and the world. As of the first quarter of 2016, there value (Koijen et al., 2014 for carry; Frazzini and was $8.36 trillion of U.S. corporate debt out- Pedersen, 2014 for quality; Asness et al., 2013 for standing, and from 1996 to 2015 corporate bond momentum and value). Our contribution includes issuance grew from $343 billion to $1.49 trillion (i) applying these concepts to credit markets; (ii) (Securities Industry and Financial Markets Asso- studying them together in a way that shines light ciation). Surprisingly little research, however, has on their joint relevance or lack thereof; (iii) eval- investigated the cross-sectional determinants of uating their economic significance by examining corporate bond returns. -
Do Investors Trade Too Much?
Do Investors Trade Too Much? By TERRANCE ODEAN* Trading volume on the world’s markets should be in real markets, it is difficult to test seems high, perhaps higher than can be ex- whether observed volume is too high. plained by models of rational markets. For ex- If trading is excessive for a market as a ample, the average annual turnover rate on the whole, then it must be excessive for some New York Stock Exchange (NYSE) is currently groups of participants in that market. This paper greater than 75 percent1 and the daily trading demonstrates that the trading volume of a par- volume of foreign-exchange transactions in all ticular class of investors, those with discount currencies (including forwards, swaps, and spot brokerage accounts, is excessive. transactions) is roughly one-quarter of the total Alexandros V. Benos (1998) and Odean annual world trade and investment flow (James (1998a) propose that, due to their overconfi- Dow and Gary Gorton, 1997). While this level dence, investors will trade too much. This paper of trade may seem disproportionate to inves- tests that hypothesis. The trading of discount tors’ rebalancing and hedging needs, we lack brokerage customers is good for testing the economic models that predict what trading vol- overconfidence theory of excessive trading be- ume in these market should be. In theoretical cause this trading is not complicated by agency models trading volume ranges from zero (e.g., relationships. Excessive trading in retail broker- in rational expectation models without noise) to age accounts could, on the other hand, result infinite (e.g., when traders dynamically hedge in from either investors’ overconfidence or from the absence of trading costs).