Collateralized Debt Obligations

Total Page:16

File Type:pdf, Size:1020Kb

Collateralized Debt Obligations IBBM Financing with Asset-Backed Securities Collateralized Debt Obligations Prof. Ian Giddy Stern School of Business New York University W orldwide Securitization Volum e Source: abalert.com , March 2004 Copyright ©2004 Ian H. Giddy CDOs 2 Asset-Backed Securities: The Typical Structure FORD (SPONSOR) LOANS. Servicing Agreem ent SALE OR ASSIGNMENT SPECIAL PURPOSE VEHICLE ISSUES LOANS. ASSET-BACKED CERTIFICATES Copyright ©2004 Ian H. Giddy CDOs 3 The Alternative: Synthetic ABS DB (Originator) REFERENCE POOL OF LOANS (Stay on balance sheet) CREDIT SW AP AGREEMENT SPECIAL PURPOSE VEHICLE ISSUES TOP QUALITY ASSET-BACKED INVESTMENTS CERTIFICATES Copyright ©2004 Ian H. Giddy CDOs 4 Collateralized Debt Obligations Collateralized loan obligations (CLOs) Collateralized bond obligations (CBOs) Copyright ©2004 Ian H. Giddy CDOs 5 Collateralized Debt Obligations Cash flow backed CLOs and CBOs Market value backed CBOs Synthetic CLOs Copyright ©2004 Ian H. Giddy CDOs 6 Cash Flow Backed CLOs MMootitvivaatitoionnss:: FFrereee u upp c caappitiatall LLoowweer rc coosst to of f BANK (SELLER) fufunnddiningg Distressed loan Distressedr dloan aarbrbitirtaraggee ( 3(3rd ppaartryty s sppoonnssoorsrs)) LOANS SALE OR ASSIGNMENT SPECIAL PURPOSE VEHICLE ISSUES LOANS ASSET-BACKED CERTIFICATES Copyright ©2004 Ian H. Giddy CDOs 7 CLO Transaction Structure Copyright ©2004 Ian H. Giddy CDOs 8 CLO Rating Criteria Initial Review © Originator‘s credit evaluation system © Pool composition & stress testing ß On-Site Due Diligence ß Legal Integrity © Bankruptcy-remoteness of SPV © Validity of asset transfer to SPV © Perfection of security interests in underlying collateral ß Determining Credit Enhancement Copyright ©2004 Ian H. Giddy CDOs 9 Source: Fitch, “Bank CLOs: an Overview“ Copyright ©2004 Ian H. Giddy CDOs 10 Cash flow Backed CLOs CREDIT Senior-Sub with ENHANCEMENT priorities of cash flows Cash reserve accounts Letters of credit Guarantees Cash ABS LOANS flows SPV flows Investors Copyright ©2004 Ian H. Giddy CDOs 11 Senior-Sub CLO Structure Copyright ©2004 Ian H. Giddy CDOs 12 Cash Flow Backed CBOs MMootitvivaatitoionn:: CCaasshh f lfoloww aarbrbitirtaraggee ( b(boonnddss hhaavvee g goooodd reretuturnrnss r erelalatitvivee toto r irsiskk, ,b buut tm maayy bbee i lillilqiquuidid)) BONDS MANAGER SALE SPECIAL PURPOSE VEHICLE ISSUES BOND ASSET-BACKED PORTFOLIO CERTIFICATES Copyright ©2004 Ian H. Giddy CDOs 13 Cash Flow Backed CBOs MANAGER Selects portfolio Collateral cash flows m eet ABS interest & principal needs Cash ABS BONDS flows SPV flows Investors Copyright ©2004 Ian H. Giddy CDOs 15 Market Value Backed CBOs MMootitvivaatitoionn:: PPrircicee a arbrbitirtaraggee (b(boonnddss a arere uunnddeerprprirciceedd, , aanndd t rtaraddeeaabblele)) BONDS MANAGER SALE SPECIAL PURPOSE VEHICLE ISSUES BOND ASSET-BACKED PORTFOLIO CERTIFICATES Copyright ©2004 Ian H. Giddy CDOs 16 Market Value Backed CBOs MANAGER Trades bonds to m eet interest & principal needs ABS BONDS Investors Cash SPV flows flows Copyright ©2004 Ian H. Giddy CDOs 18 Rating Agencies Analyze Price Volatility to Determ ine CE Requirem ents Copyright ©2004 Ian H. Giddy CDOs 20 Advance rates determ ine how m uch rated debt can be issued against the m arket value of an asset. Copyright ©2004 Ian H. Giddy CDOs 21 Creating a CBO Assets Liabilities Copyright ©2004 Ian H. Giddy CDOs 22 Exam ple of Market Value CBO Asset Mix and Financing Copyright ©2004 Ian H. Giddy CDOs 23 Synthetic ABS DB (Originator) REFERENCE POOL OF LOANS (Stay on balance sheet) CREDIT SW AP AGREEMENT SPECIAL PURPOSE VEHICLE ISSUES TOP QUALITY ASSET-BACKED INVESTMENTS CERTIFICATES Copyright ©2004 Ian H. Giddy CDOs 24 Synthetic ABS or Collateralized Loan Notes CLNsare SPV debt backed by the credit of the selling bank (or better) No loans are sold to the SPV But performance is based on the performance of a reference pool of loans ©If the reference credits perform, full debt service is made on the CLN ©If the reference credits default, the CLN is deemed —defaulted“and payment is halted. Copyright ©2004 Ian H. Giddy CDOs 25 Synthetic ABS GERMAN BANK (Originator) REFERENCE POOL OF LOANS (Stay on Balance Sheet) CREDIT SW AP AGREEMENT SPECIAL PURPOSE VEHICLE TOP QUALITY ISSUES INVESTMENTS ASSET-BACKED CERTIFICATES Copyright ©2004 Ian H. Giddy CDOs 26 Synthetic ABS GERMAN BANK (Originator) REFERENCE POOL OF LOANS (Stay on Balance Sheet) PROTECTION against EURIBOR POOL DEFAULTS plus —PREMIUM“ SPECIAL PURPOSE VEHICLE TOP QUALITY ISSUES INVESTMENTS ASSET-BACKED CERTIFICATES Copyright ©2004 Ian H. Giddy CDOs 27 Credit Swaps in Synthetics: Doubts Problems with the collateral ©Debates about —events of default“ ©W orkouts and other pre-default losses ß Problems with the sponsor bank ©Obtaining title to the collateral ©Those —high quality investments“ ß And all those swaps Copyright ©2004 Ian H. Giddy CDOs 28 Typical Credit Default Swap Arrangem ent BANK SPV REFERENCE Deposit and ABS POOL OF LOANS credit guarantee The guarantee: Pledge of a deposit in the sponsor bank Part or all of that deposit will be forfeited if there are pool losses —Losses in the transaction are defined as am ounts written off in com pliance with the bank‘s usual procedures“ Copyright ©2004 Ian H. Giddy CDOs 29 Leveraged CDO (Super Senior Tranche) Copyright ©2004 Ian H. Giddy CDOs 30 Prom ises, Prom ises Copyright ©2004 Ian H. Giddy CDOs 31 Super-Senior Copyright ©2004 Ian H. Giddy CDOs 32 Bank Capital Savings Credit Enhancement Calculation Assets Liabilities Loan Portfolio Securities Classes From A From BB+From B A 50 AAA 47.5 52.5 32.8 132.8 BB+ 100 AA 0 B 100 NR 117.2 250 250 Capital: 20 Capital: 9.376 Cost Cost Debt 7% ABS 5% Equity 15% Debt 8% Equity 16% Total 7.64% Total 6.71% Copyright ©2004 Ian H. Giddy CDOs 33 Case Study: Global High Yield Bond Trust W hat is the legal structure of this deal? W hat are the assets? W hat are the different classes of securities, and their terms? How do the synthetic CLOs work? (Draw a diagram) Should investors buy the subordinated tranche? Copyright ©2004 Ian H. Giddy CDOs 34 Global High Yield Bond Trust Copyright ©2004 Ian H. Giddy CDOs 35 Appendix: Types of Credit Derivatives Total Return Swaps Credit Default Swaps Credit Spread Options Credit Linked Notes Copyright ©2004 Ian H. Giddy CDOs 36 Total Return Swap One view And another Copyright ©2004 Ian H. Giddy CDOs 37 Credit Default Swaps The key distinction between a Credit Swap and a TR Swap is that the form er results in a contingent or floating paym ent only following a Credit Event, while the latter results in paym ents reflecting changes in the m arket valuation of a specified asset in the norm al course of business. Copyright ©2004 Ian H. Giddy CDOs 38 Credit Spread Options ayoff Put W riter 0 150BP Bond Spread Bond Price Copyright ©2004 Ian H. Giddy CDOs 39 Credit-Linked Notes BANK Credit Default Swap SPV Credit Guarantee Deposits Credit- REFERENCE Linked POOL OF LOANS Fee Notes (like spread on bond) T-bonds (ABS) Copyright ©2004 Ian H. Giddy CDOs 40 Purposes of Credit Derivatives Diversification of risk away from institution‘s own portfolio More credit to one borrower than bank can hold directly Bank capital relief Leveraged investments in credit- sensitive assets (eg hedge funds) Copyright ©2004 Ian H. Giddy CDOs 41 Chase Secured Loan Trust Notes Chase Secured Loan Trust (CSLT) notes offer investors access to the high-yield bank loan market. One of the attractive aspects of this market to investors is that, while offering double-digit returns in many cases, the senior-secured status of bank loans has given them a very stable, and favorable, default percentage over the years. This is a market that has been widely untapped by institutional investors with only 20 - 25 percent of the $250 billion in syndicated leveraged loans outstanding held by this sector. The Chase structure uses credit derivatives to offer these investors access to this asset class. Take, for example, an investor who is prohibited from investing in anything lower than investment grade securities. In the Chase structure, the underlying credit derivative is a Total Return Swap between Chase and a trust. Chase pays the trust the total return on a loan portfolio of $100 million for example, which yields LIBOR plus 250 basis points. In exchange, Chase receives LIBOR plus 100 basis points from the trust. An investor who purchases a trancheof the CSLT in the form of a note receives the same return on the loan portfolio that is received by the trust from Chase on the TRS. For this return, the investor does not put up the total $100 million as would be required to participate in actual loan syndication. Rather, the investor pays $20 million for the tranche, which is used by the trust to purchase treasuries to post as collateral against the trust's payment on the TRS. W hen all the cash flows are broken down on the transaction, including the five times leverage of the $20 million for access to the $100 million loan portfolio plus the yield on the treasuries of 6 percent, the investor generates a total yield in this example of 13.5 percent. Draw a diagram to show how this is achieved Copyright ©2004 Ian H. Giddy CDOs 42 Valuation Evaluation of credit factors Discriminantanalysis and credit-scoring models like Altman‘s z-score Option pricing models Copyright ©2004 Ian H. Giddy CDOs 43 ABSresearch.com Ian H. Giddy Stern School of Business New York University 44 W est 4th Street, New York, NY 10012, USA ian.giddy@ nyu.edu http://giddy.org Copyright ©2004 Ian H. Giddy CDOs 45.
Recommended publications
  • The TIPS-Treasury Bond Puzzle
    The TIPS-Treasury Bond Puzzle Matthias Fleckenstein, Francis A. Longstaff and Hanno Lustig The Journal of Finance, October 2014 Presented By: Rafael A. Porsani The TIPS-Treasury Bond Puzzle 1 / 55 Introduction The TIPS-Treasury Bond Puzzle 2 / 55 Introduction (1) Treasury bond and the Treasury Inflation-Protected Securities (TIPS) markets: two of the largest and most actively traded fixed-income markets in the world. Find that there is persistent mispricing on a massive scale across them. Treasury bonds are consistently overpriced relative to TIPS. Price of a Treasury bond can exceed that of an inflation-swapped TIPS issue exactly matching the cash flows of the Treasury bond by more than $20 per $100 notional amount. One of the largest examples of arbitrage ever documented. The TIPS-Treasury Bond Puzzle 3 / 55 Introduction (2) Use TIPS plus inflation swaps to create synthetic Treasury bond. Price differences between the synthetic Treasury bond and the nominal Treasury bond: arbitrage opportunities. Average size of the mispricing: 54.5 basis points, but can exceed 200 basis points for some pairs. I The average size of this mispricing is orders of magnitude larger than transaction costs. The TIPS-Treasury Bond Puzzle 4 / 55 Introduction (3) What drives the mispricing? Slow-moving capital may help explain why mispricing persists. Is TIPS-Treasury mispricing related to changes in capital available to hedge funds? Answer: Yes. Mispricing gets smaller as more capital gets to the hedge fund sector. The TIPS-Treasury Bond Puzzle 5 / 55 Introduction (4) Also find that: Correlation in arbitrage strategies: size of TIPS-Treasury arbitrage is correlated with arbitrage mispricing in other markets.
    [Show full text]
  • 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]
  • Interest Rate Options
    Interest Rate Options Saurav Sen April 2001 Contents 1. Caps and Floors 2 1.1. Defintions . 2 1.2. Plain Vanilla Caps . 2 1.2.1. Caplets . 3 1.2.2. Caps . 4 1.2.3. Bootstrapping the Forward Volatility Curve . 4 1.2.4. Caplet as a Put Option on a Zero-Coupon Bond . 5 1.2.5. Hedging Caps . 6 1.3. Floors . 7 1.3.1. Pricing and Hedging . 7 1.3.2. Put-Call Parity . 7 1.3.3. At-the-money (ATM) Caps and Floors . 7 1.4. Digital Caps . 8 1.4.1. Pricing . 8 1.4.2. Hedging . 8 1.5. Other Exotic Caps and Floors . 9 1.5.1. Knock-In Caps . 9 1.5.2. LIBOR Reset Caps . 9 1.5.3. Auto Caps . 9 1.5.4. Chooser Caps . 9 1.5.5. CMS Caps and Floors . 9 2. Swap Options 10 2.1. Swaps: A Brief Review of Essentials . 10 2.2. Swaptions . 11 2.2.1. Definitions . 11 2.2.2. Payoff Structure . 11 2.2.3. Pricing . 12 2.2.4. Put-Call Parity and Moneyness for Swaptions . 13 2.2.5. Hedging . 13 2.3. Constant Maturity Swaps . 13 2.3.1. Definition . 13 2.3.2. Pricing . 14 1 2.3.3. Approximate CMS Convexity Correction . 14 2.3.4. Pricing (continued) . 15 2.3.5. CMS Summary . 15 2.4. Other Swap Options . 16 2.4.1. LIBOR in Arrears Swaps . 16 2.4.2. Bermudan Swaptions . 16 2.4.3. Hybrid Structures . 17 Appendix: The Black Model 17 A.1.
    [Show full text]
  • The Synthetic Collateralised Debt Obligation: Analysing the Super-Senior Swap Element
    The Synthetic Collateralised Debt Obligation: analysing the Super-Senior Swap element Nicoletta Baldini * July 2003 Basic Facts In a typical cash flow securitization a SPV (Special Purpose Vehicle) transfers interest income and principal repayments from a portfolio of risky assets, the so called asset pool, to a prioritized set of tranches. The level of credit exposure of every single tranche depends upon its level of subordination: so, the junior tranche will be the first to bear the effect of a credit deterioration of the asset pool, and senior tranches the last. The asset pool can be made up by either any type of debt instrument, mainly bonds or bank loans, or Credit Default Swaps (CDS) in which the SPV sells protection1. When the asset pool is made up solely of CDS contracts we talk of ‘synthetic’ Collateralized Debt Obligations (CDOs); in the so called ‘semi-synthetic’ CDOs, instead, the asset pool is made up by both debt instruments and CDS contracts. The tranches backed by the asset pool can be funded or not, depending upon the fact that the final investor purchases a true debt instrument (note) or a mere synthetic credit exposure. Generally, when the asset pool is constituted by debt instruments, the SPV issues notes (usually divided in more tranches) which are sold to the final investor; in synthetic CDOs, instead, tranches are represented by basket CDSs with which the final investor sells protection to the SPV. In any case all the tranches can be interpreted as percentile basket credit derivatives and their degree of subordination determines the percentiles of the asset pool loss distribution concerning them It is not unusual to find both funded and unfunded tranches within the same securitisation: this is the case for synthetic CDOs (but the same could occur with semi-synthetic CDOs) in which notes are issued and the raised cash is invested in risk free bonds that serve as collateral.
    [Show full text]
  • Credit-Market Sentiment and the Business Cycle
    Credit-Market Sentiment and the Business Cycle David L´opez-Salido∗ Jeremy C. Stein† Egon Zakrajˇsek‡ First draft: April 2015 This draft: December 2016 Abstract Using U.S. data from 1929 to 2015, we show that elevated credit-market sentiment in year t−2 is associated with a decline in economic activity in years t and t + 1. Underlying this result is the existence of predictable mean reversion in credit-market conditions. When credit risk is aggressively priced, spreads subsequently widen. The timing of this widening is, in turn, closely tied to the onset of a contraction in economic activity. Exploring the mechanism, we find that buoyant credit-market sentiment in year t−2 also forecasts a change in the composition of exter- nal finance: Net debt issuance falls in year t, while net equity issuance increases, consistent with the reversal in credit-market conditions leading to an inward shift in credit supply. Unlike much of the current literature on the role of financial frictions in macroeconomics, this paper suggests that investor sentiment in credit markets can be an important driver of economic fluctuations. JEL Classification: E32, E44, G12 Keywords: credit-market sentiment; financial stability; business cycles We are grateful to Olivier Blanchard, Claudia Buch, Bill English, Robin Greenwood, Sam Hanson, Oscar` Jord`a, Larry Katz, Arvind Krishnamurthy, H´el`ene Rey, Andrei Shleifer, the referees, and seminar participants at numerous institutions for helpful comments. Miguel Acosta, Ibraheem Catovic, Gregory Cohen, George Gu, Shaily Patel, and Rebecca Zhang provided outstanding research assistance. The views expressed in this paper are solely the responsibility of the authors and should not be interpreted as reflecting the views of the Board of Governors of the Federal Reserve System or of anyone else associated with the Federal Reserve System.
    [Show full text]
  • Finance: a Quantitative Introduction Chapter 9 Real Options Analysis
    Investment opportunities as options The option to defer More real options Some extensions Finance: A Quantitative Introduction Chapter 9 Real Options Analysis Nico van der Wijst 1 Finance: A Quantitative Introduction c Cambridge University Press Investment opportunities as options The option to defer More real options Some extensions 1 Investment opportunities as options 2 The option to defer 3 More real options 4 Some extensions 2 Finance: A Quantitative Introduction c Cambridge University Press Investment opportunities as options Option analogy The option to defer Sources of option value More real options Limitations of option analogy Some extensions The essential economic characteristic of options is: the flexibility to exercise or not possibility to choose best alternative walk away from bad outcomes Stocks and bonds are passively held, no flexibility Investments in real assets also have flexibility, projects can be: delayed or speeded up made bigger or smaller abandoned early or extended beyond original life-time, etc. 3 Finance: A Quantitative Introduction c Cambridge University Press Investment opportunities as options Option analogy The option to defer Sources of option value More real options Limitations of option analogy Some extensions Real Options Analysis Studies and values this flexibility Real options are options where underlying value is a real asset not a financial asset as stock, bond, currency Flexibility in real investments means: changing cash flows along the way: profiting from opportunities, cutting off losses Discounted
    [Show full text]
  • Module 6 Option Strategies.Pdf
    zerodha.com/varsity TABLE OF CONTENTS 1 Orientation 1 1.1 Setting the context 1 1.2 What should you know? 3 2 Bull Call Spread 6 2.1 Background 6 2.2 Strategy notes 8 2.3 Strike selection 14 3 Bull Put spread 22 3.1 Why Bull Put Spread? 22 3.2 Strategy notes 23 3.3 Other strike combinations 28 4 Call ratio back spread 32 4.1 Background 32 4.2 Strategy notes 33 4.3 Strategy generalization 38 4.4 Welcome back the Greeks 39 5 Bear call ladder 46 5.1 Background 46 5.2 Strategy notes 46 5.3 Strategy generalization 52 5.4 Effect of Greeks 54 6 Synthetic long & arbitrage 57 6.1 Background 57 zerodha.com/varsity 6.2 Strategy notes 58 6.3 The Fish market Arbitrage 62 6.4 The options arbitrage 65 7 Bear put spread 70 7.1 Spreads versus naked positions 70 7.2 Strategy notes 71 7.3 Strategy critical levels 75 7.4 Quick notes on Delta 76 7.5 Strike selection and effect of volatility 78 8 Bear call spread 83 8.1 Choosing Calls over Puts 83 8.2 Strategy notes 84 8.3 Strategy generalization 88 8.4 Strike selection and impact of volatility 88 9 Put ratio back spread 94 9.1 Background 94 9.2 Strategy notes 95 9.3 Strategy generalization 99 9.4 Delta, strike selection, and effect of volatility 100 10 The long straddle 104 10.1 The directional dilemma 104 10.2 Long straddle 105 10.3 Volatility matters 109 10.4 What can go wrong with the straddle? 111 zerodha.com/varsity 11 The short straddle 113 11.1 Context 113 11.2 The short straddle 114 11.3 Case study 116 11.4 The Greeks 119 12 The long & short straddle 121 12.1 Background 121 12.2 Strategy notes 122 12..3 Delta and Vega 128 12.4 Short strangle 129 13 Max pain & PCR ratio 130 13.1 My experience with option theory 130 13.2 Max pain theory 130 13.3 Max pain calculation 132 13.4 A few modifications 137 13.5 The put call ratio 138 13.6 Final thoughts 140 zerodha.com/varsity CHAPTER 1 Orientation 1.1 – Setting the context Before we start this module on Option Strategy, I would like to share with you a Behavioral Finance article I read couple of years ago.
    [Show full text]
  • Ice Crude Oil
    ICE CRUDE OIL Intercontinental Exchange® (ICE®) became a center for global petroleum risk management and trading with its acquisition of the International Petroleum Exchange® (IPE®) in June 2001, which is today known as ICE Futures Europe®. IPE was established in 1980 in response to the immense volatility that resulted from the oil price shocks of the 1970s. As IPE’s short-term physical markets evolved and the need to hedge emerged, the exchange offered its first contract, Gas Oil futures. In June 1988, the exchange successfully launched the Brent Crude futures contract. Today, ICE’s FSA-regulated energy futures exchange conducts nearly half the world’s trade in crude oil futures. Along with the benchmark Brent crude oil, West Texas Intermediate (WTI) crude oil and gasoil futures contracts, ICE Futures Europe also offers a full range of futures and options contracts on emissions, U.K. natural gas, U.K power and coal. THE BRENT CRUDE MARKET Brent has served as a leading global benchmark for Atlantic Oseberg-Ekofisk family of North Sea crude oils, each of which Basin crude oils in general, and low-sulfur (“sweet”) crude has a separate delivery point. Many of the crude oils traded oils in particular, since the commercialization of the U.K. and as a basis to Brent actually are traded as a basis to Dated Norwegian sectors of the North Sea in the 1970s. These crude Brent, a cargo loading within the next 10-21 days (23 days on oils include most grades produced from Nigeria and Angola, a Friday). In a circular turn, the active cash swap market for as well as U.S.
    [Show full text]
  • Tax Treatment of Derivatives
    United States Viva Hammer* Tax Treatment of Derivatives 1. Introduction instruments, as well as principles of general applicability. Often, the nature of the derivative instrument will dictate The US federal income taxation of derivative instruments whether it is taxed as a capital asset or an ordinary asset is determined under numerous tax rules set forth in the US (see discussion of section 1256 contracts, below). In other tax code, the regulations thereunder (and supplemented instances, the nature of the taxpayer will dictate whether it by various forms of published and unpublished guidance is taxed as a capital asset or an ordinary asset (see discus- from the US tax authorities and by the case law).1 These tax sion of dealers versus traders, below). rules dictate the US federal income taxation of derivative instruments without regard to applicable accounting rules. Generally, the starting point will be to determine whether the instrument is a “capital asset” or an “ordinary asset” The tax rules applicable to derivative instruments have in the hands of the taxpayer. Section 1221 defines “capital developed over time in piecemeal fashion. There are no assets” by exclusion – unless an asset falls within one of general principles governing the taxation of derivatives eight enumerated exceptions, it is viewed as a capital asset. in the United States. Every transaction must be examined Exceptions to capital asset treatment relevant to taxpayers in light of these piecemeal rules. Key considerations for transacting in derivative instruments include the excep- issuers and holders of derivative instruments under US tions for (1) hedging transactions3 and (2) “commodities tax principles will include the character of income, gain, derivative financial instruments” held by a “commodities loss and deduction related to the instrument (ordinary derivatives dealer”.4 vs.
    [Show full text]
  • Show Me the Money: Option Moneyness Concentration and Future Stock Returns Kelley Bergsma Assistant Professor of Finance Ohio Un
    Show Me the Money: Option Moneyness Concentration and Future Stock Returns Kelley Bergsma Assistant Professor of Finance Ohio University Vivien Csapi Assistant Professor of Finance University of Pecs Dean Diavatopoulos* Assistant Professor of Finance Seattle University Andy Fodor Professor of Finance Ohio University Keywords: option moneyness, implied volatility, open interest, stock returns JEL Classifications: G11, G12, G13 *Communications Author Address: Albers School of Business and Economics Department of Finance 901 12th Avenue Seattle, WA 98122 Phone: 206-265-1929 Email: [email protected] Show Me the Money: Option Moneyness Concentration and Future Stock Returns Abstract Informed traders often use options that are not in-the-money because these options offer higher potential gains for a smaller upfront cost. Since leverage is monotonically related to option moneyness (K/S), it follows that a higher concentration of trading in options of certain moneyness levels indicates more informed trading. Using a measure of stock-level dollar volume weighted average moneyness (AveMoney), we find that stock returns increase with AveMoney, suggesting more trading activity in options with higher leverage is a signal for future stock returns. The economic impact of AveMoney is strongest among stocks with high implied volatility, which reflects greater investor uncertainty and thus higher potential rewards for informed option traders. AveMoney also has greater predictive power as open interest increases. Our results hold at the portfolio level as well as cross-sectionally after controlling for liquidity and risk. When AveMoney is calculated with calls, a portfolio long high AveMoney stocks and short low AveMoney stocks yields a Fama-French five-factor alpha of 12% per year for all stocks and 33% per year using stocks with high implied volatility.
    [Show full text]
  • YOUR QUICK START GUIDE to OPTIONS SUCCESS.Pages
    YOUR QUICK START GUIDE TO OPTIONS SUCCESS Don Fishback IMPORTANT DISCLOSURE INFORMATION Fishback Management and Research, Inc. (FMR), its principles and employees reserve the right to, and indeed do, trade stocks, mutual funds, op?ons and futures for their own accounts. FMR, its principals and employees will not knowingly trade in advance of the general dissemina?on of trading ideas and recommenda?ons. There is, however, a possibility that when trading for these proprietary accounts, orders may be entered, which are opposite or otherwise different from the trades and posi?ons described herein. This may occur as a result of the use of different trading systems, trading with a different degree of leverage, or tes?ng of new trading systems, among other reasons. The results of any such trading are confiden?al and are not available for inspec?on. This publica?on, in whole or in part, may not be reproduced, retransmiDed, disseminated, sold, distributed, published, broadcast or circulated to anyone without the express prior wriDen permission of FMR except by bona fide news organiza?ons quo?ng brief passages for purposes of review. Due to the number of sources from which the informa?on contained in this newsleDer is obtained, and the inherent risks of distribu?on, there may be omissions or inaccuracies in such informa?on and services. FMR, its employees and contributors take every reasonable step to insure the integrity of the data. However, FMR, its owners and employees and contributors cannot and do not warrant the accuracy, completeness, currentness or fitness for a par?cular purpose of the informa?on contained in this newsleDer.
    [Show full text]
  • Federal Register/Vol. 84, No. 215/Wednesday, November 6
    Federal Register / Vol. 84, No. 215 / Wednesday, November 6, 2019 / Notices 59849 respect to this action, see the each participant will speak, and the SECURITIES AND EXCHANGE application for license amendment time allotted for each presentation. COMMISSION dated October 23, 2019. A written summary of the hearing will [Release No. 34–87434; File No. SR– Attorney for licensee: General be compiled, and such summary will be NYSEArca–2019–12] Counsel, Tennessee Valley Authority, made available, upon written request to 400 West Summit Hill Drive, 6A West OPIC’s Corporate Secretary, at the cost Self-Regulatory Organizations; NYSE Tower, Knoxville, TN 37902. of reproduction. Arca, Inc.; Notice of Filing of NRC Branch Chief: Undine Shoop. Amendment No. 2 and Order Granting Written summaries of the projects to Accelerated Approval of a Proposed Dated at Rockville, Maryland, this 31st day be presented at the December 11, 2019, of October 2019. Rule Change, as Modified by Board meeting will be posted on OPIC’s Amendment No. 2, To List and Trade For the Nuclear Regulatory Commission. website. Kimberly J. Green, Shares of the iShares Commodity Senior Project Manager, Plant Licensing CONTACT PERSON FOR INFORMATION: Curve Carry Strategy ETF Under NYSE Branch II–2, Division of Operating Reactor Information on the hearing may be Arca Rule 8.600–E obtained from Catherine F. I. Andrade at Licensing, Office of Nuclear Reactor I. Introduction Regulation. (202) 336–8768, via facsimile at (202) [FR Doc. 2019–24198 Filed 11–5–19; 8:45 am] 408–0297, or via email at On March 1, 2019, NYSE Arca, Inc.
    [Show full text]