Chapter 07 - Yield Rates Section 7.2 - Discounted Cash Flow Analysis Suppose an Investor Makes Regular Withdrawals and Deposits Into an Investment Project
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MPFD Lesson 2B: Meeting Financial Goals—Rate of Return
Unit 2 Planning and Tracking Lesson 2B: Meeting Financial Goals—Rate of Return Rule 2: Have a Plan. Financial success depends primarily on two things: (i) developing a plan to meet your established goals and (ii) tracking your progress with respect to that plan. Too often peo - ple set vague goals (“I want to be rich.”), make unrealistic plans, or never bother to assess the progress toward their goals. These lessons look at important financial indicators you should understand and monitor both in setting goals and attaining them. Lesson Description Students are shown the two ways investments can earn a return and then calculate the annual rate of return, the real rate of return, and the expected rate of return on various assets. Standards and Benchmarks (see page 49) Grade Level 9-12 Concepts Appreciation Depreciation Expected rate of return Inflation Inflation rate Rate of return Real rate of return Return Making Personal Finance Decisions ©2019, Minnesota Council on Economic Education. Developed in partnership with the Federal Reserve Bank of St. Louis. Permission is granted to reprint or photocopy this lesson in its entirety for educational purposes, provided the user credits the Minnesota Council on Economic Education. 37 Unit 2: Planning and Tracking Lesson 2B: Meeting Financial Goals—Rate of Return Compelling Question How is an asset’s rate of return measured? Objectives Students will be able to • describe two ways that an asset can earn a return and • determine and distinguish among the rate of return on an asset, its real rate of return, and its expected rate of return. -
The Wisdom of the Robinhood Crowd
NBER WORKING PAPER SERIES THE WISDOM OF THE ROBINHOOD CROWD Ivo Welch Working Paper 27866 http://www.nber.org/papers/w27866 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 September 2020, Revised December 2020 The views expressed herein are those of the author and do not necessarily reflect the views of the National Bureau of Economic Research. 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 They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2020 by Ivo Welch. 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. The Wisdom of the Robinhood Crowd Ivo Welch NBER Working Paper No. 27866 September 2020, Revised December 2020 JEL No. D9,G11,G4 ABSTRACT Robinhood (RH) investors collectively increased their holdings in the March 2020 COVID bear market, indicating an absence of panic and margin calls. Their steadfastness was rewarded in the subsequent bull market. Despite unusual interest in some “experience” stocks, their aggregated consensus portfolio (likely mimicking the household-equal-weighted portfolio) primarily tilted towards stocks with high past share volume and dollar-trading volume. These were mostly big stocks. Both their timing and their consensus portfolio performed well from mid-2018 to mid-2020. Ivo Welch Anderson School at UCLA (C519) 110 Westwood Place (951481) Los Angeles, CA 90095-1482 and NBER [email protected] The online retail brokerage company Robinhood (RH) was founded in 2013 based on a business plan to make it easier and cheaper for small investors to participate in the stock and option markets. -
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). -
Preqin Special Report: Subscription Credit Facilities
PREQIN June 2019 SPECIAL REPORT: SUBSCRIPTION CREDIT FACILITIES PREQIN SPECIAL REPORT; SUBSCRIPTION CREDIT FACILITIES Contents 3 CEO’s Foreword 4 Subscription Credit Facility Usage in Private Capital 7 Subscription Lines of Credit and LP-GP Alignment: ILPA’s Recommendations - ILPA 8 Are Subscription Facilities Oversubscribed? - Fitch Ratings 10 Subscription Finance Market - McGuireWoods LLP Download the Data Pack All of the data presented in this report is available to download in Excel format: www.preqin.com/SCF19 As with all our reports, we welcome any feedback you may have. To get in touch, please email us at: [email protected] 2 CEO's Foreword Subscription credit facilities: angels or demons? A legitimate and valuable tool for managing liquidity and streamlining transactions in a competitive market, or a cynical ploy for massaging IRRs? The debate continues in private equity and wider private capital circles. As is often the case, historical perspective is helpful. Private capital operates in a dynamic and competitive environment, as GPs and LPs strive to achieve superior net returns, through good times and bad. Completing deals and generating the positive returns that LPs Mark O’Hare expect has never been more challenging than it is CEO, Preqin today, given the availability of capital and the appetite for attractive assets in the market. Innovation and answers: transparent data, combined with thoughtful dynamism have long been an integral aspect of the communication and debate. private capital industry’s arsenal of tools, comprised of alignment of interest; close attention to operational Preqin’s raison d’être is to support and serve the excellence and value add; over-allocation in order to alternative assets industry with the best available data. -
IRR: a Blind Guide
American Journal Of Business Education – July/August 2012 Volume 5, Number 4 IRR: A Blind Guide Herbert Kierulff, Seattle Pacific University, USA ABSTRACT Over the past 60 years the internal rate of return (IRR) has become a major tool in investment evaluation. Many executives prefer it to net present value (NPV), presumably because they can more easily comprehend a percentage measure. This article demonstrates that, except in the rare case of an investment that is followed by a single cash return, IRR suffers from a definitional quandary. Is it an intrinsic measure, defined only in terms of itself, or is it defined by the efforts of active investors? Additionally, the article explains significant problems with the measure - reinvestment issues, multiple IRRs, timing problems, problems of choice among unequal investment opportunities, and practical difficulties with multiple discount rates. IRR is a blind guide because its definition is in doubt and because of its many practical problems. Keywords: IRR; PV; NPV; Internal Rate of Return; Return on Investment; Discount Rate INTRODUCTION he internal rates of return (IRR) and net present value (NPV) have become the primary tools of investment evaluation in the last 60 years. Ryan and Ryan (2002) found that 76% of the Fortune 1000 companies use IRR 75-100% of the time. Earlier studies (Burns & Walker, 1987; Gitman & TForrester, 1977) indicate a preference for IRR over NPV, and a propensity to use both methods over others such as payback and return on funds employed. The researchers hypothesize that executives are more comfortable with a percentage (IRR) than a number (NPV). -
Internal Value of Shares
Feasibility assessment of expansion options for a fish feed factory in Iceland Ágúst Freyr Dansson Thesis of 30 ECTS credits Master of Science in Engineering Management June 2015 Feasibility assessment of expansion options for a fish feed factory in Iceland Ágúst Freyr Dansson Thesis of 30 ECTS credits submitted to the School of Science and Engineering at Reykjavík University in partial fulfillment of the requirements for the degree of Master of Science in Engineering Management June 2015 Supervisor(s): Dr. Páll Jensson Professor, Reykjavík University, Iceland Examiner(s): Dr. Jón Árnason Matís ii Abstract Fish farming in Iceland has been growing steadily since 2008. With better farming technologies it is becoming increasingly profitable and demand for feed is increasing. Domestic fish feed factories will not be capable of producing enough feed to supply the Icelandic market in the coming years if this trend continues. Old equipment also prevents optimal fat content in feed production. A new factory or upgrade is necessary for Laxá to stay competitive. This paper presents a feasibility model for comparison of a new 50.000 ton fish feed factory versus upgrading existing facilities at Laxá to supply increased demand. Risk analysis and inventory optimization are also presented for both options and optimal location is determined for a new factory. Both investment options are feasible at the end of the planning horizon. A new factory has 18% IRR and NPV of 725 M ISK. A factory upgrade returns 25% IRR and NPV of 231 M ISK. With no clear favorite the selection could ultimately depend on the risk attitude of Laxá executives and project investors. -
Dividend Valuation Models Prepared by Pamela Peterson Drake, Ph.D., CFA
Dividend valuation models Prepared by Pamela Peterson Drake, Ph.D., CFA Contents 1. Overview ..................................................................................................................................... 1 2. The basic model .......................................................................................................................... 1 3. Non-constant growth in dividends ................................................................................................. 5 A. Two-stage dividend growth ...................................................................................................... 5 B. Three-stage dividend growth .................................................................................................... 5 C. The H-model ........................................................................................................................... 7 4. The uses of the dividend valuation models .................................................................................... 8 5. Stock valuation and market efficiency ......................................................................................... 10 6. Summary .................................................................................................................................. 10 7. Index ........................................................................................................................................ 11 8. Further readings ....................................................................................................................... -
“We Have Met the Enemy… and He Is Us”
“WE HAVE MET THE ENEMY… AND HE IS US” Lessons from Twenty Years of the Kauffman Foundation’s Investments in Venture Capital Funds and The Triumph of Hope over Experience May 2012 0 Electronic copy available at: http://ssrn.com/abstract=2053258 “WE HAVE MET THE ENEMY… AND HE IS US” Lessons from Twenty Years of the Kauffman Foundation’s Investments in Venture Capital Funds and The Triumph of Hope over Experience May 2012 Authors: Diane Mulcahy Director of Private Equity, Ewing Marion Kauffman Foundation Bill Weeks Quantitative Director, Ewing Marion Kauffman Foundation Harold S. Bradley Chief Investment Officer, Ewing Marion Kauffman Foundation © 2012 by the Ewing Marion Kauffman Foundation. All rights reserved. 1 Electronic copy available at: http://ssrn.com/abstract=2053258 ACKNOWLEDGEMENTS We thank Benno Schmidt, interim CEO of the Kauffman Foundation, and our Investment Committee, for their support of our detailed analysis and publication of the Foundation’s historic venture capital portfolio and investing experience. Kauffman’s Quantitative Director, Bill Weeks, contributed exceptional analytic work and key insights about the performance of our portfolio. We also thank our colleagues and readers Paul Kedrosky, Robert Litan, Mary McLean, Brent Merfen, and Dane Stangler for their valuable input. We also are grateful for the more than thirty venture capitalists and institutional investors that we interviewed, who shared their candid views and perspectives on these topics. A NOTE ON CONFIDENTIALITY Despite the strong brand recognition of many of the partnerships in which we’ve invested, we are prevented from providing specifics in this paper due to confidentiality provisions to which we agreed at the time of our investment. -
1 Factor Models a (Linear) Factor Model Assumes That the Rate of Return of an Asset Is Given By
1Factor Models The Markowitz mean-variance framework requires having access to many parameters: If there are n risky assets, with rates of return ri,i=1, 2,...,n, then we must know 2 − all the n means (ri), n variances (σi ) and n(n 1)/2covariances (σij) for a total of 2n + n(n − 1)/2 parameters. If for example n = 100 we would need 4750 parameters, and if n = 1000 we would need 501, 500 parameters! At best we could try to estimate these, but how? In fact, it is easy to see that trying to estimate the means, for example, to a workable level of accuracy is almost impossible using historical (e.g., past) data over time.1 What happens is that the standard deviation of our estimate is too large (for example larger than the estimate itself), thus rendering the estimate worthless. One can bring the standard deviation down only by increasing the data to go back to (say) over ahundred years! To see this: If we want to estimate expected rate of return over a typical 1-month period we could take n monthly data points r(1),...,r(n) denoting the rate of return over individual months in the past, and then average 1 n r(j). (1) n j=1 This estimate (assuming independent and identically distributed (iid) returns over months) has a mean√ and standard deviation given by r, σ/ n respectively, where r and σ denote the true mean and standard deviation over 1-month. If, for example, a stock’s yearly expected rate of return is 16%, then the monthly such rate is r =16/12=1.333% = 0.0133. -
USING a TEXAS INSTRUMENTS FINANCIAL CALCULATOR FV Or PV Calculations: Ordinary Annuity Calculations: Annuity Due
USING A TEXAS INSTRUMENTS FINANCIAL CALCULATOR FV or PV Calculations: 1) Type in the present value (PV) or future value (FV) amount and then press the PV or FV button. 2) Type the interest rate as a percent (if the interest rate is 8% then type “8”) then press the interest rate (I/Y) button. If interest is compounded semi-annually, quarterly, etc., make sure to divide the interest rate by the number of periods. 3) Type the number of periods and then press the period (N) button. If interest is compounded semi-annually, quarterly, etc., make sure to multiply the years by the number of periods in one year. 4) Once those elements have been entered, press the compute (CPT) button and then the FV or PV button, depending on what you are calculating. If both present value and future value are known, they can be used to find the interest rate or number of periods. Enter all known information and press CPT and whichever value is desired. When entering both present value and future value, they must have opposite signs. Ordinary Annuity Calculations: 1) Press the 2nd button, then the FV button in order to clear out the TVM registers (CLR TVM). 2) Type the equal and consecutive payment amount and then press the payment (PMT) button. 3) Type the number of payments and then press the period (N) button. 4) Type the interest rate as a percent (if the interest rate is 8% then type “8”) then press the interest rate button (I/Y). 5) Press the compute (CPT) button and then either the present value (PV) or the future value (FV) button depending on what you want to calculate. -
The Underpricing of Ipos on the Stock Exchange of Mauritius
The underpricing of IPOs on the stock exchange of Mauritius Article Accepted Version Agathee, U. S., Sannassee, R. V. and Brooks, C. (2012) The underpricing of IPOs on the stock exchange of Mauritius. Research in International Business and Finance, 26. pp. 281- 303. ISSN 0275-5319 doi: https://doi.org/10.1016/j.ribaf.2012.01.001 Available at http://centaur.reading.ac.uk/26244/ 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/10.1016/j.ribaf.2012.01.001 Publisher: Elsevier 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 NOTICE: this is the author’s version of a work that was accepted for publication in Research in International Business and Finance. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Research in International Business and Finance, 26.2 (2012), DOI: 10.1016/j.ribaf.2012.01.001 € The Underpricing of IPOs on the Stock Exchange of Mauritius Ushad Subadar Agathee Department of Finance and Accounting, Faculty of Law and Management, University of Mauritius. -
The Mincer Equation and Beyond1
Chapter 7 EARNINGS FUNCTIONS, RATES OF RETURN AND TREATMENT EFFECTS: THE MINCER EQUATION AND BEYOND1 JAMES J. HECKMAN Department of Economics, University of Chicago, 1126 East 59th Street, Chicago, IL 60637, USA e-mail: [email protected] LANCE J. LOCHNER Department of Economics, University of Western Ontario, 1151 Richmond Street N, London, ON, N6A 5C2, Canada e-mail: [email protected] PETRA E. TODD Department of Economics, University of Pennsylvania, 20 McNeil, 3718 Locust Walk, Philadelphia, PA 19104, USA e-mail: [email protected] Contents Abstract 310 Keywords 310 1. Introduction 311 2. The theoretical foundations of Mincer’s earnings regression 315 2.1. The compensating differences model 315 2.2. The accounting-identity model 316 Implications for log earnings–age and log earnings–experience profiles and for the inter- personal distribution of life-cycle earnings 318 1 Heckman is Henry Schultz Distinguished Service Professor of Economics at the University of Chicago and Distinguished Professor of Science and Society, University College Dublin. Lochner is Associate Professor of Economics at the University of Western Ontario. Todd is Professor of Economics at the University of Pennsylvania. The first part of this chapter was prepared in June 1998. It previously circulated under the title “Fifty Years of Mincer Earnings Regressions”. Heckman’s research was supported by NIH R01-HD043411, NSF 97-09-873, NSF SES-0099195 and NSF SES-0241858. We thank Christian Belzil, George Borjas, Pedro Carneiro, Flavio Cunha, Jim Davies, Reuben Gronau, Eric Hanushek, Lawrence Katz, John Knowles, Mario Macis, Derek Neal, Aderonke Osikominu, Dan Schmierer, Jora Stixrud, Ben Williams, Kenneth Wolpin, and participants at the 2001 AEA Annual Meeting, the Labor Studies Group at the 2001 NBER Summer Institute, and participants at Stanford University and Yale University seminars for helpful comments.