Valuation of Index Options. Bruce Kelvin Grace Louisiana State University and Agricultural & Mechanical College

Total Page:16

File Type:pdf, Size:1020Kb

Valuation of Index Options. Bruce Kelvin Grace Louisiana State University and Agricultural & Mechanical College Louisiana State University LSU Digital Commons LSU Historical Dissertations and Theses Graduate School 1995 Valuation of Index Options. Bruce Kelvin Grace Louisiana State University and Agricultural & Mechanical College Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_disstheses Recommended Citation Grace, Bruce Kelvin, "Valuation of Index Options." (1995). LSU Historical Dissertations and Theses. 6102. https://digitalcommons.lsu.edu/gradschool_disstheses/6102 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Historical Dissertations and Theses by an authorized administrator of LSU Digital Commons. For more information, please contact [email protected]. INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type o f computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back of the book. Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6” x 9” black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order. UMI A Bell & Howell Information Company 300 North Zeeb Road, Ann Arbor MI 48106-1346 USA 313/761-4700 800/521-0600 VALUATION OF INDEX OPTIONS A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The Interdepartmental Program in Business Administration by Bruce Kelvin Grace B.S., University of New Orleans, 1984 M.B.A., University of New Orleans, 1985 December 1995 UMI Number: 9618292 UMI Microform 9618292 Copyright 1996, by UMI Company. All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. UMI 300 North Zeeb Road Ann Arbor, MI 48103 ACKNOWLEDGEMENTS I wish to thank my dissertation committee chairman, Gary Sanger for all of his help on this dissertation. In addition, Edward Blomeyer, G. Geoffrey Booth, R. Carter Hill, Ji-Chai Lin, and Alvin Schupp provided invaluable help. My colleagues, such as David DeBoeuf and Raymond So, helped to keep my sanity. To others I might have overlooked, thanks. TABLE OF CONTENTS ACKNOWLEDGEMENTS............................................... LIST OF TABLES.............................................................. ABSTRACT....................................................................... INTRODUCTION........................................................................................................... 1 CHAPTER 1 THE VALUE OF EARLY EXERCISE IN STANDARD AND POOR’S 100 INDEX O PTIONS................................................................................................... 7 1.1 Literature Review ................................................................................... 7 1.2 Method of Analysis ............................................................................... 15 1.3 Data ........................................................................................................ 17 1.4 Econometric Models ............................................................................ 21 1.5 Empirical Results ................................................................................. 28 1.6 Chapter 1 Summary ............................................................................... 37 CHAPTER 2 MARKET EFFICIENCY AND RISK-FREE ARBITRAGE OPPORTUNITIES IN THE STANDARD AND POOR’S 100 INDEX OPTION MARKET....................................................................................... 38 2.1 Literature Review ................................................................................. 38 2.2 Method of A nalysis .............................................................................. 48 2.2.1 Synthetic Index ........................................................................ 49 2.2.2 Futures .................................................................................... 52 2.2.3 Stock Portfolios ...................................................................... 54 2.2.4 Transactions Costs ................................................................. 55 2.3 Data ....................................................................................................... 57 2.4 Tests ....................................................................................................... 59 2.4.1 American Boundaries ............................................................ 59 2.4.2 Black-Scholes Model Prices .................................................. 63 2.4.3 Black-Scholes Plus the Value of Early Exercise ............... 63 2.4.4 Binomial Option Pricing Model .......................................... 64 2.5 Chapter 2 Summary .............................................................................. 66 CHAPTER 3 PRICE DISCOVERY AND INDEX OPTIONS....................................................... 70 3.1 Literature Review ................................................................................ 70 iii 3.2 Method of A nalysis ................................................................................ 75 3.3 Data ....................................................................................................... 82 3.4 T e s ts ....................................................................................................... 83 3.5 Chapter 3 Summary............................................................................... 94 CONCLUSION............................................................................................................. 96 BIBLIOGRAPHY ........................................................................................................ 98 APPENDIX A ................................................................................................................. 103 APPENDIX B ................................................................................................................. 104 V IT A ................................................................................................................................ 105 iv LIST OF TABLES Table 1. Generalized Least Squares Estimates Using Prais-Winsten Two-step Estimators for: A = b0 + bjf(S - X) + b2g(T) + b3h(r) + £ Where Calls are in-the-money and A > 0 All Data Are Included Except Where DT > X(1 - e'rT) .......................................... 30 Table la. Generalized Least Squares Estimates Using Prais-Winsten Two-step Estimators for: A = b0 + b,f(S - X) + b2g(T) + b3h(r) + e Where Calls Are in-the-money and A > 0, All Data Are Included ....................... 31 Table lb. Generalized Least Squares Estimates Using Prais-Winsten Two-step Estimators for: A = b0 + b,f(S - X) + b2g(T) + b3h(r) + £ Where Puts Are in-the-money and A < 0 ................................................................. 31 Table 2. Random Coefficient Model Estimates of Ait = Poi, + Pii,f(Sit - Xit) + p2ilg(Tit) + P3ilh(rit) + P4iti(oit) + uit For Calls in-the-money and A > 0 All Data Are Included Except Where Dx > X(1 - e'*1) .......................................... 33 Table 2a. Random Coefficient Model Estimates of Ait = Poit + PiiASn - Xit) + P2ilg(Tit) + P3ilh(rit) + p4iti(Oil) + ujt For Calls in-the-money and A > 0, All Data Are Included ................................... 33 Table 2b. Random Coefficient Model Estimates of Ait = Poi, + Ptilf(Sit - Xu) + p2itg(Tit) + P3ith(rit) + P4iti(ait) + uit For Puts in-the-money and A < 0 ............................................................................. 34 Table 3. Hsiao Random Coefficient Model Estimates of [Abs(BS Call - Actual)]it = poit + P,j,[Abs(BS Call + A - Actual)] + uit ............... 35 Table 4. Hsiao Random Coefficient Model Estimates of [Abs(BS Put - Actual)]h = p0il + pm[Abs(BS Put + A - Actual)] + uj t .................. 36 Table 5. Average Values of Calls and the Estimated Value of Early Exercise ................................................................................................................ 36 Table 6. Average Values of Puts and the Estimated Value of Early Exercise ................................................................................................................ 37 Table 7. Final Payoffs for an Option Arbitrage With a Written Call, Purchased Put, and an Amount Borrowed Proxying for the Shorted Underlying Security .....................................................................................................
Recommended publications
  • Up to EUR 3,500,000.00 7% Fixed Rate Bonds Due 6 April 2026 ISIN
    Up to EUR 3,500,000.00 7% Fixed Rate Bonds due 6 April 2026 ISIN IT0005440976 Terms and Conditions Executed by EPizza S.p.A. 4126-6190-7500.7 This Terms and Conditions are dated 6 April 2021. EPizza S.p.A., a company limited by shares incorporated in Italy as a società per azioni, whose registered office is at Piazza Castello n. 19, 20123 Milan, Italy, enrolled with the companies’ register of Milan-Monza-Brianza- Lodi under No. and fiscal code No. 08950850969, VAT No. 08950850969 (the “Issuer”). *** The issue of up to EUR 3,500,000.00 (three million and five hundred thousand /00) 7% (seven per cent.) fixed rate bonds due 6 April 2026 (the “Bonds”) was authorised by the Board of Directors of the Issuer, by exercising the powers conferred to it by the Articles (as defined below), through a resolution passed on 26 March 2021. The Bonds shall be issued and held subject to and with the benefit of the provisions of this Terms and Conditions. All such provisions shall be binding on the Issuer, the Bondholders (and their successors in title) and all Persons claiming through or under them and shall endure for the benefit of the Bondholders (and their successors in title). The Bondholders (and their successors in title) are deemed to have notice of all the provisions of this Terms and Conditions and the Articles. Copies of each of the Articles and this Terms and Conditions are available for inspection during normal business hours at the registered office for the time being of the Issuer being, as at the date of this Terms and Conditions, at Piazza Castello n.
    [Show full text]
  • (NSE), India, Using Box Spread Arbitrage Strategy
    Gadjah Mada International Journal of Business - September-December, Vol. 15, No. 3, 2013 Gadjah Mada International Journal of Business Vol. 15, No. 3 (September - December 2013): 269 - 285 Efficiency of S&P CNX Nifty Index Option of the National Stock Exchange (NSE), India, using Box Spread Arbitrage Strategy G. P. Girish,a and Nikhil Rastogib a IBS Hyderabad, ICFAI Foundation For Higher Education (IFHE) University, Andhra Pradesh, India b Institute of Management Technology (IMT) Hyderabad, India Abstract: Box spread is a trading strategy in which one simultaneously buys and sells options having the same underlying asset and time to expiration, but different exercise prices. This study examined the effi- ciency of European style S&P CNX Nifty Index options of National Stock Exchange, (NSE) India by making use of high-frequency data on put and call options written on Nifty (Time-stamped transactions data) for the time period between 1st January 2002 and 31st December 2005 using box-spread arbitrage strategy. The advantages of box-spreads include reduced joint hypothesis problem since there is no consideration of pricing model or market equilibrium, no consideration of inter-market non-synchronicity since trading box spreads involve only one market, computational simplicity with less chances of mis- specification error, estimation error and the fact that buying and selling box spreads more or less repli- cates risk-free lending and borrowing. One thousand three hundreds and fifty eight exercisable box- spreads were found for the time period considered of which 78 Box spreads were found to be profit- able after incorporating transaction costs (32 profitable box spreads were identified for the year 2002, 19 in 2003, 14 in 2004 and 13 in 2005) The results of our study suggest that internal option market efficiency has improved over the years for S&P CNX Nifty Index options of NSE India.
    [Show full text]
  • YOLO Trading: Riding with the Herd During the Gamestop Episode
    A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Lyócsa, Štefan; Baumöhl, Eduard; Vŷrost, Tomáš Working Paper YOLO trading: Riding with the herd during the GameStop episode Suggested Citation: Lyócsa, Štefan; Baumöhl, Eduard; Vŷrost, Tomáš (2021) : YOLO trading: Riding with the herd during the GameStop episode, ZBW - Leibniz Information Centre for Economics, Kiel, Hamburg This Version is available at: http://hdl.handle.net/10419/230679 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights
    [Show full text]
  • 11 Option Payoffs and Option Strategies
    11 Option Payoffs and Option Strategies Answers to Questions and Problems 1. Consider a call option with an exercise price of $80 and a cost of $5. Graph the profits and losses at expira- tion for various stock prices. 73 74 CHAPTER 11 OPTION PAYOFFS AND OPTION STRATEGIES 2. Consider a put option with an exercise price of $80 and a cost of $4. Graph the profits and losses at expiration for various stock prices. ANSWERS TO QUESTIONS AND PROBLEMS 75 3. For the call and put in questions 1 and 2, graph the profits and losses at expiration for a straddle comprising these two options. If the stock price is $80 at expiration, what will be the profit or loss? At what stock price (or prices) will the straddle have a zero profit? With a stock price at $80 at expiration, neither the call nor the put can be exercised. Both expire worthless, giving a total loss of $9. The straddle breaks even (has a zero profit) if the stock price is either $71 or $89. 4. A call option has an exercise price of $70 and is at expiration. The option costs $4, and the underlying stock trades for $75. Assuming a perfect market, how would you respond if the call is an American option? State exactly how you might transact. How does your answer differ if the option is European? With these prices, an arbitrage opportunity exists because the call price does not equal the maximum of zero or the stock price minus the exercise price. To exploit this mispricing, a trader should buy the call and exercise it for a total out-of-pocket cost of $74.
    [Show full text]
  • Informed Trading and Price Discovery Before Corporate Events
    ARTICLE IN PRESS JID: FINEC [m3Gdc; June 28, 2017;21:7 ] Journal of Financial Economics 0 0 0 (2017) 1–28 Contents lists available at ScienceDirect Journal of Financial Economics journal homepage: www.elsevier.com/locate/jfec Informed trading and price discovery before corporate ✩ events ∗ Shmuel Baruch a, Marios Panayides b, Kumar Venkataraman c, a David Eccles School of Business, University of Utah, Salt Lake City, UT 84112, USA b Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA 15260, USA c Edwin L. Cox School of Business, Southern Methodist University, Dallas, TX 75275, USA a r t i c l e i n f o a b s t r a c t Article history: Stock prices incorporate less news before negative events than positive events. Further, Received 5 March 2015 informed agents use less price aggressive (limit) orders before negative events and more Revised 8 June 2016 price aggressive (market) orders before positive events (buy–sell asymmetry). Motivated Accepted 29 June 2016 by these patterns, we model the execution risk that informed agents impose on each other Available online xxx and relate the asymmetry to costly short selling. When investor base is narrow, security JEL classifications: borrowing is difficult, or the magnitude of the event is small, buy–sell asymmetry is pro- G11 nounced and price discovery before negative events is lower. Overall, we show that the G12 strategies of informed traders influence the process of price formation in financial mar- G14 kets, as predicted by theory. G18 ©2017 Elsevier B.V. All rights reserved. Keywords: Informed trader Insider trading Limit order Short selling Buy–sell asymmetry 1.
    [Show full text]
  • Problem Set 2 Collars
    In-Class: 2 Course: M339D/M389D - Intro to Financial Math Page: 1 of 7 University of Texas at Austin Problem Set 2 Collars. Ratio spreads. Box spreads. 2.1. Collars in hedging. Definition 2.1. A collar is a financial position consiting of the purchase of a put option, and the sale of a call option with a higher strike price, with both options having the same underlying asset and having the same expiration date Problem 2.1. Sample FM (Derivatives Markets): Problem #3. Happy Jalape~nos,LLC has an exclusive contract to supply jalape~nopeppers to the organizers of the annual jalape~noeating contest. The contract states that the contest organizers will take delivery of 10,000 jalape~nosin one year at the market price. It will cost Happy Jalape~nos1,000 to provide 10,000 jalape~nos and today's market price is 0.12 for one jalape~no. The continuously compounded risk-free interest rate is 6%. Happy Jalape~noshas decided to hedge as follows (both options are one year, European): (1) buy 10,000 0.12-strike put options for 84.30, and (2) sell 10,000 0.14-strike call options for 74.80. Happy Jalape~nosbelieves the market price in one year will be somewhere between 0.10 and 0.15 per pepper. Which interval represents the range of possible profit one year from now for Happy Jalape~nos? A. 200 to 100 B. 110 to 190 C. 100 to 200 D. 190 to 390 E. 200 to 400 Solution: First, let's see what position the Happy Jalape~nosis in before the hedging takes place.
    [Show full text]
  • Can Underwriters Profit from IPO Underpricing?
    Footloose with Green Shoes: Can Underwriters Profit from IPO Underpricing? Patrick M. Corrigan† Why are green shoe options used in initial public offerings (IPOs)? And why do underwriters usually short sell an issuer’s stock in connection with its IPO? Are underwriters permitted to profit from these trading po- sitions? Scholars have long argued that underwriters use green shoe options together with short sales to facilitate price stabilizing activities, and that U.S. securities laws prohibit underwriters from using green shoe options to profit from IPO underpricing. This Article finds the conventional wisdom lacking. I find that underwriters may permissibly profit from IPO under- pricing by pairing purchases under a green shoe option with offshore short sales. I also find that underwriters may permissibly profit from IPO over- pricing by short selling the issuer’s stock in the initial distribution. The possession of a green shoe option and the ability to short sell IPOs effectively makes underwriters long a straddle at the IPO price. This posi- tion creates troubling incentivizes for underwriters to underprice or over- price IPOs, but not to price them accurately. This new principal trading theory for green shoe options and under- writer short sales provides novel explanations for systematic IPO mispric- ing, the explosive initial return variability during the internet bubble, and the observation of “laddering” in severely underpriced IPOs. This Article concludes by charting a new path for the regulatory scheme that applies to principal trading by underwriters in connection with securities offerings. Consistent with the purpose of preserving the integrity of securities markets, regulators should address the incentives of under- writers directly by prohibiting underwriters of an offering from enriching themselves through trading in the issuer’s securities.
    [Show full text]
  • Detecting the Great Short Squeeze on Volkswagen
    PACFIN-00812; No of Pages 12 Pacific-Basin Finance Journal xxx (2016) xxx–xxx Contents lists available at ScienceDirect Pacific-Basin Finance Journal journal homepage: www.elsevier.com/locate/pacfin Detecting the great short squeeze on Volkswagen Keith R.L. Godfrey The University of Western Australia Business School, 35 Stirling Highway, Nedlands 6009, Australia article info abstract Article history: On 28 October 2008 a short squeeze on Volkswagen stock propelled this car maker to become Received 25 November 2015 the world's most valuable company for a day. I study the market behavior empirically and in- Received in revised form 31 January 2016 vestigate whether the timing of the price spike could have been anticipated from earlier trad- Accepted 15 February 2016 ing. I utilize price information from regional stock exchanges in parallel with the primary Available online xxxx electronic trading platform Xetra. Although the trading volume on the seven regional ex- changes is small, the geographical variation in traded prices shows anomalies when the law JEL classifications: of supply and demand begins to overrule the law of one price, and this is observed more G12 than 24 h ahead of the price peak. I find that the coefficient of variation in the prices at the G17 regional exchanges is a leading indicator of the Volkswagen price spike. D43 D81 © 2016 Published by Elsevier B.V. Keywords: Short squeeze Volkswagen Porsche Regional variation Law of one price Limits to arbitrage 1. Introduction Financial events are notoriously difficult to predict. Investors and traders seek competitive advantages by analyzing information such as news releases, accounting reports, industry forecasts, technical trends, and quantitative trading behavior.
    [Show full text]
  • 34-67752; File No
    SECURITIES AND EXCHANGE COMMISSION (Release No. 34-67752; File No. SR-CBOE-2012-043) August 29, 2012 Self-Regulatory Organizations; Chicago Board Options Exchange, Incorporated; Order Approving a Proposed Rule Change Relating to Spread Margin Rules I. Introduction On May 29, 2012, the Chicago Board Options Exchange, Incorporated (“Exchange” or “CBOE”) filed with the Securities and Exchange Commission (“Commission”), pursuant to Section 19(b)(1) of the Securities Exchange Act of 1934 (“Act”)1 and Rule 19b-4 thereunder,2 a proposed rule change to amend CBOE Rule 12.3 to propose universal spread margin rules. The proposed rule change was published for comment in the Federal Register on June 7, 2012.3 The Commission received no comment letters on the proposed rule change. This order approves the proposed rule change. II. Description of the Proposal An option spread is typically characterized by the simultaneous holding of a long and short option of the same type (put or call) where both options involve the same security or instrument, but have different exercise prices and/or expirations. To be eligible for spread margin treatment, the long option may not expire before the short option. These long put/short put or long call/short call spreads are known as two-legged spreads. Since the inception of the Exchange, the margin requirements for two-legged spreads have been specified in CBOE margin rules.4 The margin requirement for a two-legged spread 1 15 U.S.C. 78s(b)(1). 2 17 CFR 240.19b-4. 3 Securities Exchange Act Release No. 67086 (May 31, 2012), 77 FR 33802.
    [Show full text]
  • Shipping Derivatives and Risk Management
    Shipping Derivatives and Risk Management Amir H. Alizadeh & Nikos K. Nomikos Faculty of Finance, Cass Business School, City University, London palgrave macmiUan Contents About the Authors . xv Preface and Acknowledgements xvi Foreword xviii Figures xix Tables xxv Chapter 1: Introduction to Risk Management and Derivatives 1 1.1 Introduction 1 1.2 Types of risks facing shipping companies 3 1.3 The risk-management process 6 1.3.1 Why should firms manage risks? 7 1.4 Introduction to derivatives: contracts and applications 8 1.4.1 Forward contracts 9 1.4.2 Futures contracts 10 1.4.3 Swaps 12 1.4.4 Options 12 1.5 Applications and uses of financial derivatives 13 1.5.1 Risk management 13 1.5.2 Speculators 14 1.5.3 Arbitrageurs 14 1.5.4 The price discovery role of derivatives markets 15 1.5.5 Hedging and basis risk 16 1.5.6 Theoretical models of futures prices: the cost-of-carry model 18 1.6 The organisation of this book 20 Appendix 1 .A: derivation of minimum variance hedge ratio 23 Chapter 2: Introduction to Shipping Markets 24 2.1 Introduction 24 2.2 The world shipping industry 24 2.3 Market segmentation in the shipping industry 28 2.3.1 The container shipping market 30 2.3.2 The dry-bulk market 31 2.3.3 The tanker market 34 vi Contents 2.4 Shipping freight contracts 35 2.4.1 Voyage charter contracts 37 2.4.2 Contracts of affreightment 39 2.4.3 Trip-charter contracts 40 2.4.4 Time-charter contracts 41 2.4.5 Bare-boat or demise charter contracts 41 2.5 Definition and structure of costs in shipping 42 2.5.1 Capital costs 42 2.5.2 Operating costs
    [Show full text]
  • Understanding the Role of Debt in the Financial System1
    UNDERSTANDING THE ROLE OF DEBT IN THE FINANCIAL SYSTEM1 By Bengt Holmstrom, MIT The 13th BIS Annual Conference, 2014 June 27, 2014, Lucerne, Switzerland (Preliminary draft, June 17, 2014) Abstract Money markets are fundamentally different from stock markets. Stock markets are about price discovery for the purpose of allocating risk efficiently. Money markets are about obviating the need for price discovery using over-collateralized debt to reduce the cost of lending. Yet, attempts to reform credit markets in the wake of the recent financial crisis often draw on insights grounded in our understanding of stock markets. This can be very misleading. The paper presents a perspective on the logic of credit markets and the structure of debt-contracts that highlights the information insensitivity of debt. This perspective explains among other things why opacity often enhances liquidity in credit markets and therefore why all financial panics involve debt. These basic insights into the nature of debt and credit markets are simple, but useful for thinking about policies on transparency, on capital buffers and other regulatory issues concerning banking and money markets as illustrated in the paper. 1 I want to thank most particularly Daron Acemoglu, Tobias Adrian, Gary Gorton, Arvind Krishnamurthy, Antoine Martin, Jean Tirole, Andrei Shleifer and Robert Wilson for extensive discussions on this topic. Numerous others should be listed (and will be in later editions.) The paper draws on my Presidential Address before the Econometric Society, January 2012 and on my joint work with Tri Vi Dang and Gary Gorton. 1. Introduction A lot of progress has been made in understanding the financial crisis since it erupted in full force after Lehmann’s fall in September 2008.
    [Show full text]
  • Secondary Market Trading and the Cost of New Debt Issuance
    Secondary Market Trading and the Cost of New Debt Issuance Ryan L. Davis, David A. Maslar, and Brian S. Roseman* February 8, 2017 ABSTRACT We show that secondary market activity impacts the cost of issuing new debt in the primary market. Specifically, firms with existing illiquid debt have higher costs when issuing new debt. We also find that with the improvement in the price discovery process brought about by the introduction of TRACE reporting, firms that became TRACE listed subsequently had a lower cost of debt. Our results indicate that the secondary market functions of liquidity and price discovery are important to the primary market. Overall, the results presented in this paper provide a greater understanding of the connection between the secondary market and the real economy. *Ryan L. Davis is at The Collat School of Business, University of Alabama at Birmingham; David A. Maslar is at The Haslam College of Business, University of Tennessee; Brian S. Roseman is at The Mihaylo College of Business and Economics, California State University, Fullerton. We would like to thank Andrew Lynch, Joseph Greco, David Nanigian, Matthew Serfling, and seminar participants at the University of Mississippi and California State University, Fullerton for their helpful suggestions and feedback. Understanding how financial market activity impacts the real economy is one of the most important topics studied by financial economists. Since firms only raise capital in the primary market it is easy to conclude that trading in the secondary market does not directly affect firm activity, or in turn, the real economy. This potential disconnect leads some to view secondary markets as merely a sideshow to the real economy, an idea that has been debated in the academic literature since at least Bosworth (1975).
    [Show full text]