Forward Contracts and Futures a Forward Is an Agreement Between Two Parties to Buy Or Sell an Asset at a Pre-Determined Future Time for a Certain Price
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Pricing of Index Options Using Black's Model
Global Journal of Management and Business Research Volume 12 Issue 3 Version 1.0 March 2012 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4588 & Print ISSN: 0975-5853 Pricing of Index Options Using Black’s Model By Dr. S. K. Mitra Institute of Management Technology Nagpur Abstract - Stock index futures sometimes suffer from ‘a negative cost-of-carry’ bias, as future prices of stock index frequently trade less than their theoretical value that include carrying costs. Since commencement of Nifty future trading in India, Nifty future always traded below the theoretical prices. This distortion of future prices also spills over to option pricing and increase difference between actual price of Nifty options and the prices calculated using the famous Black-Scholes formula. Fisher Black tried to address the negative cost of carry effect by using forward prices in the option pricing model instead of spot prices. Black’s model is found useful for valuing options on physical commodities where discounted value of future price was found to be a better substitute of spot prices as an input to value options. In this study the theoretical prices of Nifty options using both Black Formula and Black-Scholes Formula were compared with actual prices in the market. It was observed that for valuing Nifty Options, Black Formula had given better result compared to Black-Scholes. Keywords : Options Pricing, Cost of carry, Black-Scholes model, Black’s model. GJMBR - B Classification : FOR Code:150507, 150504, JEL Code: G12 , G13, M31 PricingofIndexOptionsUsingBlacksModel Strictly as per the compliance and regulations of: © 2012. -
Half-Yearly Financial Report at 30 June 2019
Half-Yearly Financial Report at 30 June 2019 Contents Composition of the Corporate Bodies 3 The first half of 2019 in brief Economic figures and performance indicators 4 Equity figures and performance indicators 5 Accounting statements Balance Sheet 7 Income Statement 9 Statement of comprehensive income 10 Statements of Changes in Shareholders' Equity 11 Statement of Cash Flows 13 Report on Operations Macroeconomic situation 16 Economic results 18 Financial aggregates 22 Business 31 Operating structure 37 Significant events after the end of the half and business outlook 39 Other information 39 Notes to the Financial Statements Part A – Accounting policies 41 Part B – Information on the balance sheet 78 Part C – Information on the income statement 121 Part D – Comprehensive Income 140 Part E – Information on risks and relative hedging policies 143 Part F – Information on capital 155 Part H – Transactions with related parties 166 Part L – Segment reporting 173 Certification of the condensed Half-Yearly Financial Statements pursuant to Article 81-ter of 175 CONSOB Regulation 11971 of 14 May 1999, as amended Composition of the Corporate Bodies Board of Directors Chairperson Massimiliano Cesare Chief Executive Officer Bernardo Mattarella Director Pasquale Ambrogio Director Leonarda Sansone Director Gabriella Forte Board of Statutory Auditors Chairperson Paolo Palombelli Regular Auditor Carlo Ferocino Regular Auditor Marcella Galvani Alternate Auditor Roberto Micolitti Alternate Auditor Sofia Paternostro * * * Auditing Firm PricewaterhouseCoopers -
Monte Carlo Strategies in Option Pricing for Sabr Model
MONTE CARLO STRATEGIES IN OPTION PRICING FOR SABR MODEL Leicheng Yin A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Statistics and Operations Research. Chapel Hill 2015 Approved by: Chuanshu Ji Vidyadhar Kulkarni Nilay Argon Kai Zhang Serhan Ziya c 2015 Leicheng Yin ALL RIGHTS RESERVED ii ABSTRACT LEICHENG YIN: MONTE CARLO STRATEGIES IN OPTION PRICING FOR SABR MODEL (Under the direction of Chuanshu Ji) Option pricing problems have always been a hot topic in mathematical finance. The SABR model is a stochastic volatility model, which attempts to capture the volatility smile in derivatives markets. To price options under SABR model, there are analytical and probability approaches. The probability approach i.e. the Monte Carlo method suffers from computation inefficiency due to high dimensional state spaces. In this work, we adopt the probability approach for pricing options under the SABR model. The novelty of our contribution lies in reducing the dimensionality of Monte Carlo simulation from the high dimensional state space (time series of the underlying asset) to the 2-D or 3-D random vectors (certain summary statistics of the volatility path). iii To Mom and Dad iv ACKNOWLEDGEMENTS First, I would like to thank my advisor, Professor Chuanshu Ji, who gave me great instruction and advice on my research. As my mentor and friend, Chuanshu also offered me generous help to my career and provided me with great advice about life. Studying from and working with him was a precious experience to me. -
Forward and Futures Contracts
FIN-40008 FINANCIAL INSTRUMENTS SPRING 2008 Forward and Futures Contracts These notes explore forward and futures contracts, what they are and how they are used. We will learn how to price forward contracts by using arbitrage and replication arguments that are fundamental to derivative pricing. We shall also learn about the similarities and differences between forward and futures markets and the differences between forward and futures markets and prices. We shall also consider how forward and future prices are related to spot market prices. Keywords: Arbitrage, Replication, Hedging, Synthetic, Speculator, Forward Value, Maintainable Margin, Limit Order, Market Order, Stop Order, Back- wardation, Contango, Underlying, Derivative. Reading: You should read Hull chapters 1 (which covers option payoffs as well) and chapters 2 and 5. 1 Background From the 1970s financial markets became riskier with larger swings in interest rates and equity and commodity prices. In response to this increase in risk, financial institutions looked for new ways to reduce the risks they faced. The way found was the development of exchange traded derivative securities. Derivative securities are assets linked to the payments on some underlying security or index of securities. Many derivative securities had been traded over the counter for a long time but it was from this time that volume of trading activity in derivatives grew most rapidly. The most important types of derivatives are futures, options and swaps. An option gives the holder the right to buy or sell the underlying asset at a specified date for a pre-specified price. A future gives the holder the 1 2 FIN-40008 FINANCIAL INSTRUMENTS obligation to buy or sell the underlying asset at a specified date for a pre- specified price. -
What's Price Got to Do with Term Structure?
What’s Price Got To Do With Term Structure? An Introduction to the Change in Realized Roll Yields: Redefining How Forward Curves Are Measured Contributors: Historically, investors have been drawn to the systematic return opportunities, or beta, of commodities due to their potentially inflation-hedging and Jodie Gunzberg, CFA diversifying properties. However, because contango was a persistent market Vice President, Commodities condition from 2005 to 2011, occurring in 93% of the months during that time, [email protected] roll yield had a negative impact on returns. As a result, it may have seemed to some that the liquidity risk premium had disappeared. Marya Alsati-Morad Associate Director, Commodities However, as discussed in our paper published in September 2013, entitled [email protected] “Identifying Return Opportunities in A Demand-Driven World Economy,” the environment may be changing. Specifically, the world economy may be Peter Tsui shifting from one driven by expansion of supply to one driven by expansion of Director, Index Research & Design demand, which could have a significant impact on commodity performance. [email protected] This impact would be directly related to two hallmarks of a world economy driven by expansion of demand: the increasing persistence of backwardation and the more frequent flipping of term structures. In order to benefit in this changing economic environment, the key is to implement flexibility to keep pace with the quickly changing term structures. To achieve flexibility, there are two primary ways to modify the first-generation ® flagship index, the S&P GSCI . The first method allows an index to select contracts with expirations that are either near- or longer-dated based on the commodity futures’ term structure. -
Term Structure Lattice Models
Term Structure Models: IEOR E4710 Spring 2005 °c 2005 by Martin Haugh Term Structure Lattice Models 1 The Term-Structure of Interest Rates If a bank lends you money for one year and lends money to someone else for ten years, it is very likely that the rate of interest charged for the one-year loan will di®er from that charged for the ten-year loan. Term-structure theory has as its basis the idea that loans of di®erent maturities should incur di®erent rates of interest. This basis is grounded in reality and allows for a much richer and more realistic theory than that provided by the yield-to-maturity (YTM) framework1. We ¯rst describe some of the basic concepts and notation that we need for studying term-structure models. In these notes we will often assume that there are m compounding periods per year, but it should be clear what changes need to be made for continuous-time models and di®erent compounding conventions. Time can be measured in periods or years, but it should be clear from the context what convention we are using. Spot Rates: Spot rates are the basic interest rates that de¯ne the term structure. De¯ned on an annual basis, the spot rate, st, is the rate of interest charged for lending money from today (t = 0) until time t. In particular, 2 mt this implies that if you lend A dollars for t years today, you will receive A(1 + st=m) dollars when the t years have elapsed. -
D13 02 Pricing a Forward Contract V02 (With Notes)
Derivatives Pricing a Forward / Futures Contract Professor André Farber Solvay Brussels School of Economics and Management Université Libre de Bruxelles Valuing forward contracts: Key ideas • Two different ways to own a unit of the underlying asset at maturity: – 1.Buy spot (SPOT PRICE: S0) and borrow => Interest and inventory costs – 2. Buy forward (AT FORWARD PRICE F0) • VALUATION PRINCIPLE: NO ARBITRAGE • In perfect markets, no free lunch: the 2 methods should cost the same. You can think of a derivative as a mixture of its constituent underliers, much as a cake is a mixture of eggs, flour and milk in carefully specified proportions. The derivative’s model provide a recipe for the mixture, one whose ingredients’ quantity vary with time. Emanuel Derman, Market and models, Risk July 2001 Derivatives 01 Introduction |2 Discount factors and interest rates • Review: Present value of Ct • PV(Ct) = Ct × Discount factor • With annual compounding: • Discount factor = 1 / (1+r)t • With continuous compounding: • Discount factor = 1 / ert = e-rt Derivatives 01 Introduction |3 Forward contract valuation : No income on underlying asset • Example: Gold (provides no income + no storage cost) • Current spot price S0 = $1,340/oz • Interest rate (with continuous compounding) r = 3% • Time until delivery (maturity of forward contract) T = 1 • Forward price F0 ? t = 0 t = 1 Strategy 1: buy forward 0 ST –F0 Strategy 2: buy spot and borrow Should be Buy spot -1,340 + ST equal Borrow +1,340 -1,381 0 ST -1,381 Derivatives 01 Introduction |4 Forward price and value of forward contract rT • Forward price: F0 = S0e • Remember: the forward price is the delivery price which sets the value of a forward contract equal to zero. -
Eurodollar Futures, and Forwards
5 Eurodollar Futures, and Forwards In this chapter we will learn about • Eurodollar Deposits • Eurodollar Futures Contracts, • Hedging strategies using ED Futures, • Forward Rate Agreements, • Pricing FRAs. • Hedging FRAs using ED Futures, • Constructing the Libor Zero Curve from ED deposit rates and ED Fu- tures. 5.1 EURODOLLAR DEPOSITS As discussed in chapter 2, Eurodollar (ED) deposits are dollar deposits main- tained outside the USA. They are exempt from Federal Reserve regulations that apply to domestic deposit markets. The interest rate that applies to ED deposits in interbank transactions is the LIBOR rate. The LIBOR spot market has maturities from a few days to 10 years but liquidity is the greatest 69 70 CHAPTER 5: EURODOLLAR FUTURES AND FORWARDS Table 5.1 LIBOR spot rates Dates 7day 1mth. 3mth 6mth 9mth 1yr LIBOR 1.000 1.100 1.160 1.165 1.205 1.337 within one year. Table 5.1 shows LIBOR spot rates over a year as of January 14th 2004. In the ED deposit market, deposits are traded between banks for ranges of maturities. If one million dollars is borrowed for 45 days at a LIBOR rate of 5.25%, the interest is 45 Interest = 1m × 0.0525 = $6562.50 360 The rate quoted assumes settlement will occur two days after the trade. Banks are willing to lend money to firms at the Libor rate provided their credit is comparable to these strong banks. If their credit is weaker, then the lending bank may quote a rate as a spread over the Libor rate. 5.2 THE TED SPREAD Banks that offer LIBOR deposits have the potential to default. -
LIBOR Fallback and Quantitative Finance
risks Article LIBOR Fallback and Quantitative Finance Marc Pierre Henrard 1,2 1 muRisQ Advisory, 8B-1210 Brussels, Belgium; [email protected] 2 University College London, London WC1E 6BT, UK Received: 19 April 2019; Accepted: 5 August 2019; Published: 15 August 2019 Abstract: With the expected discontinuation of the LIBOR publication, a robust fallback for related financial instruments is paramount. In recent months, several consultations have taken place on the subject. The results of the first ISDA consultation have been published in November 2018 and a new one just finished at the time of writing. This note describes issues associated to the proposed approaches and potential alternative approaches in the framework and the context of quantitative finance. It evidences a clear lack of details and lack of measurability of the proposed approaches which would not be achievable in practice. It also describes the potential of asymmetrical information between market participants coming from the adjustment spread computation. In the opinion of this author, a fundamental revision of the fallback’s foundations is required. Keywords: LIBOR fallback; derivative pricing; multi-curve framework; collateral; pay-off measurability; value transfer; ISDA consultations 1. Introduction Since their creation in 1986, LIBOR benchmarks1 have grown in importance to the point of being called in finance newspapers the most important number in the world. This was the case up to July 2017, when Bailey(2017), the CEO of the U.K. Financial Conduct Authority (FCA), indicated in a speech that there is an increased expectation that some LIBOR benchmarks will be discontinued in a not too distant future. -
Liquidity Effects in Options Markets: Premium Or Discount?
Liquidity Effects in Options Markets: Premium or Discount? PRACHI DEUSKAR1 2 ANURAG GUPTA MARTI G. SUBRAHMANYAM3 March 2007 ABSTRACT This paper examines the effects of liquidity on interest rate option prices. Using daily bid and ask prices of euro (€) interest rate caps and floors, we find that illiquid options trade at higher prices relative to liquid options, controlling for other effects, implying a liquidity discount. This effect is opposite to that found in all studies on other assets such as equities and bonds, but is consistent with the structure of this over-the-counter market and the nature of the demand and supply forces. We also identify a systematic factor that drives changes in the liquidity across option maturities and strike rates. This common liquidity factor is associated with lagged changes in investor perceptions of uncertainty in the equity and fixed income markets. JEL Classification: G10, G12, G13, G15 Keywords: Liquidity, interest rate options, euro interest rate markets, Euribor market, volatility smiles. 1 Department of Finance, College of Business, University of Illinois at Urbana-Champaign, 304C David Kinley Hall, 1407 West Gregory Drive, Urbana, IL 61801. Ph: (217) 244-0604, Fax: (217) 244-9867, E-mail: [email protected]. 2 Department of Banking and Finance, Weatherhead School of Management, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106-7235. Ph: (216) 368-2938, Fax: (216) 368-6249, E-mail: [email protected]. 3 Department of Finance, Leonard N. Stern School of Business, New York University, 44 West Fourth Street #9-15, New York, NY 10012-1126. Ph: (212) 998-0348, Fax: (212) 995-4233, E- mail: [email protected]. -
Frequently Asked Questions on the Basel III Standardised Approach for Measuring Counterparty Credit Risk Exposures, March 2018
This standard has been integrated into the consolidated Basel Framework: https://www.bis.org/basel_framework/ Basel Committee on Banking Supervision Frequently asked questions on the Basel III standardised approach for measuring counterparty credit risk exposures March 2018 (update of FAQs published in August 2015) This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2018. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. ISBN 978-92-9259-149-6 (online) Contents The standardised approach for measuring counterparty credit risk exposures: Frequently asked questions ............................................................................................................................................................................ 1 Introduction ......................................................................................................................................................................................... 1 1. General formula ............................................................................................................................................................... 1 1.1 Capping of margined EAD at otherwise unmargined EAD ................................................................... 1 1.2 Collateral taken outside of netting sets ........................................................................................................ 1 2. PFE add-on ....................................................................................................................................................................... -
MAFS601A – Exotic Swaps • Forward Rate Agreements and Interest Rate
MAFS601A – Exotic swaps • Forward rate agreements and interest rate swaps • Asset swaps • Total return swaps • Swaptions • Credit default swaps • Differential swaps • Constant maturity swaps 1 Forward rate agreement (FRA) The FRA is an agreement between two counterparties to exchange floating and fixed interest payments on the future settlement date T2. • The floating rate will be the LIBOR rate L[T1, T2] as observed on the future reset date T1. Recall that the implied forward rate over the future period [T1, T2] has been fixed by the current market prices of discount bonds ma- turing at T1 and T2. The fixed rate is expected to be equal to the implied forward rate over the same period as observed today. 2 Determination of the forward price of LIBOR L[T1, T2] = LIBOR rate observed at future time T1 for the accrual period [T1, T2] K = fixed rate N = notional of the FRA Cash flow of the fixed rate receiver 3 Cash flow of the fixed rate receiver collect N+NK(T22 -T) fromT- maturitybond floating rate 2 LT,T[12 ]is reset at T1 reset date settlement date tTT12 collect N atT1 from T1-maturity bond; collect invest in bank N+NLT(,)12 T account earning (-)TT21 LTT[12 , ]rate of interest 4 Valuation principle Apparently, the cash flow at T2 is uncertain since LIBOR L[T1, T2] is set (or known) at T1. Can we construct portfolio of discount bonds that replicate the cash flow? • For convenience of presenting the argument, we add N to both floating and fixed rate payments.