CHAPTER 1 Introduction to Derivative Instruments
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Here We Go Again
2015, 2016 MDDC News Organization of the Year! Celebrating 161 years of service! Vol. 163, No. 3 • 50¢ SINCE 1855 July 13 - July 19, 2017 TODAY’S GAS Here we go again . PRICE Rockville political differences rise to the surface in routine commission appointment $2.28 per gallon Last Week pointee to the City’s Historic District the three members of “Team him from serving on the HDC. $2.26 per gallon By Neal Earley @neal_earley Commission turned into a heated de- Rockville,” a Rockville political- The HDC is responsible for re- bate highlighting the City’s main po- block made up of Council members viewing applications for modification A month ago ROCKVILLE – In most jurisdic- litical division. Julie Palakovich Carr, Mark Pierzcha- to the exteriors of historic buildings, $2.36 per gallon tions, board and commission appoint- Mayor Bridget Donnell Newton la and Virginia Onley who ran on the as well as recommending boundaries A year ago ments are usually toward the bottom called the City Council’s rejection of same platform with mayoral candi- for the City’s historic districts. If ap- $2.28 per gallon of the list in terms of public interest her pick for Historic District Commis- date Sima Osdoby and city council proved Giammo, would have re- and controversy -- but not in sion – former three-term Rockville candidate Clark Reed. placed Matthew Goguen, whose term AVERAGE PRICE PER GALLON OF Rockville. UNLEADED REGULAR GAS IN Mayor Larry Giammo – political. While Onley and Palakovich expired in May. MARYLAND/D.C. METRO AREA For many municipalities, may- “I find it absolutely disappoint- Carr said they opposed Giammo’s ap- Giammo previously endorsed ACCORDING TO AAA oral appointments are a formality of- ing that politics has entered into the pointment based on his lack of qualifi- Newton in her campaign against ten given rubberstamped approval by boards and commission nomination cations, Giammo said it was his polit- INSIDE the city council, but in Rockville what process once again,” Newton said. -
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. -
(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. -
How Options Implied Probabilities Are Calculated
No content left No content right of this line of this line How Options Implied Probabilities Are Calculated The implied probability distribution is an approximate risk-neutral distribution derived from traded option prices using an interpolated volatility surface. In a risk-neutral world (i.e., where we are not more adverse to losing money than eager to gain it), the fair price for exposure to a given event is the payoff if that event occurs, times the probability of it occurring. Worked in reverse, the probability of an outcome is the cost of exposure Place content to the outcome divided by its payoff. Place content below this line below this line In the options market, we can buy exposure to a specific range of stock price outcomes with a strategy know as a butterfly spread (long 1 low strike call, short 2 higher strikes calls, and long 1 call at an even higher strike). The probability of the stock ending in that range is then the cost of the butterfly, divided by the payout if the stock is in the range. Building a Butterfly: Max payoff = …add 2 …then Buy $5 at $55 Buy 1 50 short 55 call 1 60 call calls Min payoff = $0 outside of $50 - $60 50 55 60 To find a smooth distribution, we price a series of theoretical call options expiring on a single date at various strikes using an implied volatility surface interpolated from traded option prices, and with these calls price a series of very tight overlapping butterfly spreads. Dividing the costs of these trades by their payoffs, and adjusting for the time value of money, yields the future probability distribution of the stock as priced by the options market. -
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. -
Bond Futures Calendar Spread Trading
Black Algo Technologies Bond Futures Calendar Spread Trading Part 2 – Understanding the Fundamentals Strategy Overview Asset to be traded: Three-month Canadian Bankers' Acceptance Futures (BAX) Price chart of BAXH20 Strategy idea: Create a duration neutral (i.e. market neutral) synthetic asset and trade the mean reversion The general idea is straightforward to most professional futures traders. This is not some market secret. The success of this strategy lies in the execution. Understanding Our Asset and Synthetic Asset These are the prices and volume data of BAX as seen in the Interactive Brokers platform. blackalgotechnologies.com Black Algo Technologies Notice that the volume decreases as we move to the far month contracts What is BAX BAX is a future whose underlying asset is a group of short-term (30, 60, 90 days, 6 months or 1 year) loans that major Canadian banks make to each other. BAX futures reflect the Canadian Dollar Offered Rate (CDOR) (the overnight interest rate that Canadian banks charge each other) for a three-month loan period. Settlement: It is cash-settled. This means that no physical products are transferred at the futures’ expiry. Minimum price fluctuation: 0.005, which equates to C$12.50 per contract. This means that for every 0.005 move in price, you make or lose $12.50 Canadian dollar. Link to full specification details: • https://m-x.ca/produits_taux_int_bax_en.php (Note that the minimum price fluctuation is 0.01 for contracts further out from the first 10 expiries. Not too important as we won’t trade contracts that are that far out.) • https://www.m-x.ca/f_publications_en/bax_en.pdf Other STIR Futures BAX are just one type of short-term interest rate (STIR) future. -
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. -
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. -
Intraday Volatility Surface Calibration
INTRADAY VOLATILITY SURFACE CALIBRATION Master Thesis Tobias Blomé & Adam Törnqvist Master thesis, 30 credits Department of Mathematics and Mathematical Statistics Spring Term 2020 Intraday volatility surface calibration Adam T¨ornqvist,[email protected] Tobias Blom´e,[email protected] c Copyright by Adam T¨ornqvist and Tobias Blom´e,2020 Supervisors: Jonas Nyl´en Nasdaq Oskar Janson Nasdaq Xijia Liu Department of Mathematics and Mathematical Statistics Examiner: Natalya Pya Arnqvist Department of Mathematics and Mathematical Statistics Master of Science Thesis in Industrial Engineering and Management, 30 ECTS Department of Mathematics and Mathematical Statistics Ume˚aUniversity SE-901 87 Ume˚a,Sweden i Abstract On the financial markets, investors search to achieve their economical goals while simultaneously being exposed to minimal risk. Volatility surfaces are used for estimating options' implied volatilities and corresponding option prices, which are used for various risk calculations. Currently, volatility surfaces are constructed based on yesterday's market in- formation and are used for estimating options' implied volatilities today. Such a construction gets redundant very fast during periods of high volatility, which leads to inaccurate risk calculations. With an aim to reduce volatility surfaces' estimation errors, this thesis explores the possibilities of calibrating volatility surfaces intraday using incomplete mar- ket information. Through statistical analysis of the volatility surfaces' historical movements, characteristics are identified showing sections with resembling mo- tion patterns. These insights are used to adjust the volatility surfaces intraday. The results of this thesis show that calibrating the volatility surfaces intraday can reduce the estimation errors significantly during periods of both high and low volatility. -
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. -
Binomial Trees • Stochastic Calculus, Ito’S Rule, Brownian Motion • Black-Scholes Formula and Variations • Hedging • Fixed Income Derivatives
Pricing Options with Mathematical Models 1. OVERVIEW Some of the content of these slides is based on material from the book Introduction to the Economics and Mathematics of Financial Markets by Jaksa Cvitanic and Fernando Zapatero. • What we want to accomplish: Learn the basics of option pricing so you can: - (i) continue learning on your own, or in more advanced courses; - (ii) prepare for graduate studies on this topic, or for work in industry, or your own business. • The prerequisites we need to know: - (i) Calculus based probability and statistics, for example computing probabilities and expected values related to normal distribution. - (ii) Basic knowledge of differential equations, for example solving a linear ordinary differential equation. - (iii) Basic programming or intermediate knowledge of Excel • A rough outline: - Basic securities: stocks, bonds - Derivative securities, options - Deterministic world: pricing fixed cash flows, spot interest rates, forward rates • A rough outline (continued): - Stochastic world, pricing options: • Pricing by no-arbitrage • Binomial trees • Stochastic Calculus, Ito’s rule, Brownian motion • Black-Scholes formula and variations • Hedging • Fixed income derivatives Pricing Options with Mathematical Models 2. Stocks, Bonds, Forwards Some of the content of these slides is based on material from the book Introduction to the Economics and Mathematics of Financial Markets by Jaksa Cvitanic and Fernando Zapatero. A Classification of Financial Instruments SECURITIES AND CONTRACTS BASIC SECURITIES DERIVATIVES -
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