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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. -
Shadow Banking
Federal Reserve Bank of New York Staff Reports Shadow Banking Zoltan Pozsar Tobias Adrian Adam Ashcraft Hayley Boesky Staff Report No. 458 July 2010 Revised February 2012 FRBNY Staff REPORTS This paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in this paper are those of the authors and are not necessar- ily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Shadow Banking Zoltan Pozsar, Tobias Adrian, Adam Ashcraft, and Hayley Boesky Federal Reserve Bank of New York Staff Reports, no. 458 July 2010: revised February 2012 JEL classification: G20, G28, G01 Abstract The rapid growth of the market-based financial system since the mid-1980s changed the nature of financial intermediation. Within the market-based financial system, “shadow banks” have served a critical role. Shadow banks are financial intermediaries that con- duct maturity, credit, and liquidity transformation without explicit access to central bank liquidity or public sector credit guarantees. Examples of shadow banks include finance companies, asset-backed commercial paper (ABCP) conduits, structured investment vehicles (SIVs), credit hedge funds, money market mutual funds, securities lenders, limited-purpose finance companies (LPFCs), and the government-sponsored enterprises (GSEs). Our paper documents the institutional features of shadow banks, discusses their economic roles, and analyzes their relation to the traditional banking system. Our de- scription and taxonomy of shadow bank entities and shadow bank activities are accom- panied by “shadow banking maps” that schematically represent the funding flows of the shadow banking system. -
Users/Robertjfrey/Documents/Work
AMS 511.01 - Foundations Class 11A Robert J. Frey Research Professor Stony Brook University, Applied Mathematics and Statistics [email protected] http://www.ams.sunysb.edu/~frey/ In this lecture we will cover the pricing and use of derivative securities, covering Chapters 10 and 12 in Luenberger’s text. April, 2007 1. The Binomial Option Pricing Model 1.1 – General Single Step Solution The geometric binomial model has many advantages. First, over a reasonable number of steps it represents a surprisingly realistic model of price dynamics. Second, the state price equations at each step can be expressed in a form indpendent of S(t) and those equations are simple enough to solve in closed form. 1+r D-1 u 1 1 + r D 1 + r D y y ÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅ = u fl u = 1+r D u-1 u 1+r-u 1 u 1 u yd yd ÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅÅ1+r D ÅÅÅÅÅÅÅÅ1 uêÅÅÅÅ-ÅÅÅÅu ÅÅ H L H ê L i y As we will see shortlyH weL Hwill solveL the general problemj by solving a zsequence of single step problems on the lattice. That K O K O K O K O j H L H ê L z sequence solutions can be efficientlyê computed because wej only have to zsolve for the state prices once. k { 1.2 – Valuing an Option with One Period to Expiration Let the current value of a stock be S(t) = 105 and let there be a call option with unknown price C(t) on the stock with a strike price of 100 that expires the next three month period. -
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. -
Term Structure Models of Commodity Prices
TERM STRUCTURE MODELS OF COMMODITY PRICES Cahier de recherche du Cereg n°2003–9 Delphine LAUTIER ABSTRACT. This review article describes the main contributions in the literature on term structure models of commodity prices. A first section is devoted to the theoretical analysis of the term structure. It confines itself primarily to the traditional theories of commodity prices and to their explanation of the relationship between spot and futures prices. The normal backwardation and storage theories are however a bit limited when the whole term structure is taken into account. As a result, there is a need for an extension of the analysis for long-term horizon, which constitutes the second point of the section. Finally, a dynamic analysis of the term structure is presented. Section two is centred on term structure models of commodity prices. The presentation shows that these models differ on the nature and the number of factors used to describe uncertainty. Four different factors are generally used: the spot price, the convenience yield, the interest rate, and the long-term price. Section three reviews the main empirical results obtained with term structure models. First of all, simulations highlight the influence of the assumptions concerning the stochastic process retained for the state variables and the number of state variables. Then, the method usually employed for the estimation of the parameters is explained. Lastly, the models’ performances, namely their ability to reproduce the term structure of commodity prices, are presented. Section four exposes the two main applications of term structure models: hedging and valuation. Section five resumes the broad trends in the literature on commodity pricing during the 1990s and early 2000s, and proposes futures directions for research. -
Credit Derivatives in Managing Off Balance Sheet Risks by Banks
City University Business School MSc in Finance 2001 Credit Derivatives in Managing Off Balance Sheet Risks by Banks Submitted by Murat Cakir Supervisor: Giorgio S. Questa This project is submitted as part of the requirements for the award of the MSc in Finance. July 2001 ABSTRACT Credit risk has been a worrying type of risk for financial managers. Fortunately, a recent market development –credit derivatives- has made the credit risk more manageable. The loan portfolio management has become more practicable than it used to be in the past. However, credit derivatives are still not well examined. There are uncertainties about and difficulties in the pricing and portfolio management of credit derivatives due to the non-normality in probability distribution of credit risk. Various models have been developed for credit derivatives pricing. After having drawn the general picture for the credit derivatives, we have studied some recent pricing models in a Das (1999) framework, in this study. Also appended is a an attempt to a step forward for simulating the risk-free rates and spreads, to test how powerful simulation can be in modeling the credit risk and pricing of it. Moreover, with highly developed computer technology, it is possible to make sensitivity analysis under several scenarios, to form imaginary loan portfolios, find their risk exposures, and perform a successful risk management practice. COPYRIGHT MURAT ÇAKIR Central Bank of the Republic of Turkey. All rights reserved. No part of this work 2 may be reproduced, stored in a retrieval system, transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except formal use of reference to the author without the written permission thereof Acknowledgements I am deeply grateful to my supervisor Mr. -
Put/Call Parity
Execution * Research 141 W. Jackson Blvd. 1220A Chicago, IL 60604 Consulting * Asset Management The grain markets had an extremely volatile day today, and with the wheat market locked limit, many traders and customers have questions on how to figure out the futures price of the underlying commodities via the options market - Or the synthetic value of the futures. Below is an educational piece that should help brokers, traders, and customers find that synthetic value using the options markets. Any questions please do not hesitate to call us. Best Regards, Linn Group Management PUT/CALL PARITY Despite what sometimes seems like utter chaos and mayhem, options markets are in fact, orderly and uniform. There are some basic and easy to understand concepts that are essential to understanding the marketplace. The first and most important option concept is called put/call parity . This is simply the relationship between the underlying contract and the same strike, put and call. The formula is: Call price – put price + strike price = future price* Therefore, if one knows any two of the inputs, the third can be calculated. This triangular relationship is the cornerstone of understanding how options work and is true across the whole range of out of the money and in the money strikes. * To simplify the formula we have assumed no dividends, no early exercise, interest rate factors or liquidity issues. By then using this concept of put/call parity one can take the next step and create synthetic positions using options. For example, one could buy a put and sell a call with the same exercise price and expiration date which would be the synthetic equivalent of a short future position. -
EC3070 FINANCIAL DERIVATIVES GLOSSARY Ask Price the Bid Price
EC3070 FINANCIAL DERIVATIVES GLOSSARY Ask price The bid price. Arbitrage An arbitrage is a financial strategy yielding a riskless profit and requiring no investment. It commonly amounts to the successive purchase and sale, or vice versa, of an asset at differing prices in different markets. i.e. it involves buying cheap and selling dear or selling dear and buying cheap. Bid A bid is a proposal to buy. A typical convention for vocalising a bid is “p for n”: p being the proposed unit price and n being the number of units or contracts demanded. Backwardation Backwardation describes a situation where the amount of money required for the future delivery of an item is lower than the amount required for immediate delivery. Backwardation is a signal that the item in question is in short supply. The opposite market condition to backwardation is known as contango, which is when the spot price is lower than the futures price. In fact, there is some ambiguity in the usage of the term. According to the definition above, backwardation is when Fτ|0 <S0, where Fτ|0 is the current price for a delivery at time τ and S0 is the current spot price. In an alternative definition, backwardation exists when Fτ|0 <E(Fτ|t) with 0 <t<τ, which is when the expected future price at a later date exceeds the futures price settled at time t = 0. In modern usage, this is called normal backwardation. Buyer A buyer is a long position holder who has agreed to accept the delivery of a commodity at some future date. -
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. -
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. -
Copyrighted Material
k Trim Size: 6in x 9in Sinclair583516 bindex.tex V1 - 05/04/2020 9:51 P.M. Page 219 INDEX Bid-ask spreads (total cost component), 200 A Bitcoin, 172–173, 172f Acceleration, 60 Black-Scholes-Merton (BSM) Adjustment repair, 86 assumptions/equation/model, 2–4, 6, Alpha decay, 15–16 Anchoring, 19 108, 113, 115, 183, 192 Arbitrage counterparty risk, 178–179 Black-Scholes-Merton (BSM) PDE, 5, 116 Arbitrage pricing theory (APT), 63 Bonds, 49–50 Bonferroni’s correction, usage, 23 k ASPX option profits, taxation, 187 219 k Asymmetric implied volatility skew, 191 Broken wing butterflies/condors, 99–100 ATM, 104, 106t, 123, 131t, 137 Butterflies, 95–100, 96f, 98t At-the-money covered call, delta level, 135 BXMD/BXM/BXY, 133, 134t Autocorrelation, 73f, 91 Availability heuristic, 19 C Average return, calculation, 24 Calendar spread, 100–102 Calls, 55f, 129–136, 129f, 132f, 142 B call spread, 130f, 131t, 142f, 143t Back-tested rules, performer sample, 23 implied volatility, level (example), 140t Backwardation, 61, 62 put-call parity/relationship, 95, 115, 116 Badly priced butterfly, returns (summary strike call, 118f, 120f statistics), 98t Capital asset pricing model (CAPM), Badly priced condor, returns (summary development, 63 statistics), 98t Cash flows, taxation rate, 6 Bankruptcy, risk (increase),COPYRIGHTED66 Catastrophe MATERIAL theory, 20 Bayesian model, usage, 30 Chicago Board Options Exchange (CBOE), 16, Behavioral biases, inefficiency, 67–68 36, 45–46, 133, 134f Behavioral finance, 16–21 CNDR index, 45, 45f Best, defining (possibility), 121 Commissions (total cost component), 200 Beta, 67–68, 68t, 82, 196 Commodities, 47–49, 48t, 49t BFLY index, 45, 46f Condors, 95–100, 96f, 97f, 98t, 104t Biases, 18–20, 23, 30, 113 Confidence, 61–62, 71–75, 80 k k Trim Size: 6in x 9in Sinclair583516 bindex.tex V1 - 05/04/2020 9:51 P.M.