MAFS601A – Exotic Swaps • Forward Rate Agreements and Interest Rate
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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. -
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
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. Goal To hedge against the price fluctuation of commodity. • Intension of purchase decided earlier, actual transaction done later. • The forward contract needs to specify the delivery price, amount, quality, delivery date, means of delivery, etc. Potential default of either party: writer or holder. Terminal payoff from forward contract payoff payoff K − ST ST − K K ST ST K long position short position K = delivery price, ST = asset price at maturity Zero-sum game between the writer (short position) and owner (long position). Since it costs nothing to enter into a forward contract, the terminal payoff is the investor’s total gain or loss from the contract. Forward price for a forward contract is defined as the delivery price which make the value of the contract at initiation be zero. Question Does it relate to the expected value of the commodity on the delivery date? Forward price = spot price + cost of fund + storage cost cost of carry Example • Spot price of one ton of wood is $10,000 • 6-month interest income from $10,000 is $400 • storage cost of one ton of wood is $300 6-month forward price of one ton of wood = $10,000 + 400 + $300 = $10,700. Explanation Suppose the forward price deviates too much from $10,700, the construction firm would prefer to buy the wood now and store that for 6 months (though the cost of storage may be higher). -
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 -
Interest Rate and Credit Models 6
Convexity in LIBOR CMS rates and instruments The uses of Girsanov’s theorem Interest Rate and Credit Models 6. Convexity and CMS Andrew Lesniewski Baruch College New York Spring 2019 A. Lesniewski Interest Rate and Credit Models Convexity in LIBOR CMS rates and instruments The uses of Girsanov’s theorem Outline 1 Convexity in LIBOR 2 CMS rates and instruments 3 The uses of Girsanov’s theorem A. Lesniewski Interest Rate and Credit Models Convexity in LIBOR CMS rates and instruments The uses of Girsanov’s theorem Convexity In financial lingo, convexity is a broadly understood and often non-specific term for nonlinear behavior of the price of an instrument as a function of evolving markets. Typically, such convexities reflect the presence of some sort of optionality embedded in the instrument. In this lecture we will focus on a number of convexities which arise in interest rates markets. Convex behavior in interest rate markets manifests itself as the necessity to include convexity corrections to various popular interest rates and they can be blessings and nightmares of market practitioners. From the perspective of financial modeling they arise as the results of valuation done under the “wrong” martingale measure. A. Lesniewski Interest Rate and Credit Models Convexity in LIBOR CMS rates and instruments The uses of Girsanov’s theorem Convexity Throughout this lecture we will be making careful notational distinction between stochastic processes, such as prices of zero coupon bonds, and their current (known) values. The latter will be indicated by the subscript 0. Thus, as in the previous lectures, (i) P0(t; T ) = P(0; t; T ) denotes the current value of the forward discount factor, (ii) P(t; T ) = P(t; t; T ) denotes the time t value of the stochastic process describing the price of the zero coupon bond maturing at T . -
Banca Popolare Dell’Alto Adige Joint-Stock Company
2016 FINANCIAL STATEMENTS 1 Banca Popolare dell’Alto Adige Joint-stock company Registered office and head office: Via del Macello, 55 – I-39100 Bolzano Share Capital as at 31 December 2016: Euro 199,439,716 fully paid up Tax code, VAT number and member of the Business Register of Bolzano no. 00129730214 The bank adheres to the inter-bank deposit protection fund and the national guarantee fund ABI 05856.0 www.bancapopolare.it – www.volksbank.it 2 3 „Wir arbeiten 2017 konzentriert daran, unseren Strategieplan weiter umzusetzen, die Kosten zu senken, die Effizienz und Rentabilität der Bank zu erhöhen und die Digitalisierung voranzutreiben. Auch als AG halten wir an unserem Geschäftsmodell einer tief verankerten Regionalbank in Südtirol und im Nordosten Italiens fest.“ Otmar Michaeler Volksbank-Präsident 4 DIE VOLKSBANK HAT EIN HERAUSFORDERNDES JAHR 2016 HINTER SICH. Wir haben vieles umgesetzt, aber unser hoch gestecktes Renditeziel konnten wir nicht erreichen. Für 2017 haben wir uns vorgenommen, unsere Projekte und Ziele mit noch mehr Ehrgeiz zu verfolgen und die Rentabilität der Bank deutlich zu erhöhen. 2016 wird als das Jahr der Umwandlung in eine Aktien- Beziehungen und wollen auch in Zukunft Kredite für Familien und gesellschaft in die Geschichte der Volksbank eingehen. kleine sowie mittlere Unternehmen im Einzugsgebiet vergeben. Diese vom Gesetzgeber aufgelegte Herausforderung haben Unser vorrangiges Ziel ist es, beste Lösungen für unsere die Mitglieder im Rahmen der Mitgliederversammlung im gegenwärtig fast 60.000 Mitglieder und über 260.000 Kunden November mit einer überwältigenden Mehrheit von 97,5 Prozent zu finden. angenommen. Gleichzeitig haben wir die Weichen gestellt, um All dies wird uns in die Lage versetzen, in Zukunft wieder auch als AG eine erfolgreiche und tief verankerte Regionalbank Dividenden auszuschütten. -
Derivative Instruments and Hedging Activities
www.pwc.com 2015 Derivative instruments and hedging activities www.pwc.com Derivative instruments and hedging activities 2013 Second edition, July 2015 Copyright © 2013-2015 PricewaterhouseCoopers LLP, a Delaware limited liability partnership. All rights reserved. PwC refers to the United States member firm, and may sometimes refer to the PwC network. Each member firm is a separate legal entity. Please see www.pwc.com/structure for further details. This publication has been prepared for general information on matters of interest only, and does not constitute professional advice on facts and circumstances specific to any person or entity. You should not act upon the information contained in this publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this publication. The information contained in this material was not intended or written to be used, and cannot be used, for purposes of avoiding penalties or sanctions imposed by any government or other regulatory body. PricewaterhouseCoopers LLP, its members, employees and agents shall not be responsible for any loss sustained by any person or entity who relies on this publication. The content of this publication is based on information available as of March 31, 2013. Accordingly, certain aspects of this publication may be superseded as new guidance or interpretations emerge. Financial statement preparers and other users of this publication are therefore cautioned to stay abreast of and carefully evaluate subsequent authoritative and interpretative guidance that is issued. This publication has been updated to reflect new and updated authoritative and interpretative guidance since the 2012 edition. -
Pricing Models for Bermudan-Style Interest Rate Derivatives and Options
Erim - 05 omslag Pietersz 9/23/05 1:41 PM Pagina 1 Design: B&T Ontwerp en advies www.b-en-t.nl Print: Haveka www.haveka.nl Pricing models for Bermudan-style interest rate 71 RAOUL PIETERSZ derivatives Bermudan-style interest rate derivatives are an important class of RAOUL PIETERSZ options. Many banking and insurance products, such as mortgages, cancellable bonds, and life insurance products, contain Bermudan interest rate options associated with early redemption or cancella- tion of the contract. The abundance of these options makes evident Pricing models for that their proper valuation and risk measurement are important to banks and insurance companies. Risk measurement allows for off- Bermudan-style setting market risk by hedging with underlying liquidly traded assets rate derivatives Pricing models for Bermudan-style interest and options. Pricing models must be arbitrage-free, and consistent with (calibrated to) prices of actively traded underlying options. interest rate derivatives Model dynamics need be consistent with the observed dynamics of the term structure of interest rates, e.g., correlation between inte- rest rates. Moreover, valuation algorithms need be efficient: Finan- cial decisions based on derivatives pricing calculations often need to be made in seconds, rather than hours or days. In recent years, a successful class of models has appeared in the literature known as market models. This thesis extends the theory of market models, in the following ways: (i) it introduces a new, efficient, and more accurate approximate pricing technique, (ii) it presents two new and fast algorithms for correlation-calibration, (iii) it develops new models that enable efficient calibration for a whole new range of deriva- tives, such as fixed-maturity Bermudan swaptions, and (iv) it presents novel empirical comparisons of the performance of existing calibra- tion techniques and models, in terms of reduction of risk. -
Exotic Interest-Rate Options
Exotic interest-rate options Marco Marchioro www.marchioro.org November 10th, 2012 Advanced Derivatives, Interest Rate Models 2010{2012 c Marco Marchioro Exotic interest-rate options 1 Lecture Summary • Exotic caps, floors, and swaptions • Swaps with exotic floating-rate legs • No-arbitrage methods (commodity example) • Numeraires and pricing formulas • stochastic differential equations (SDEs) • Partial differential equations (PDEs) • Feynman-Kac formula • Numerical methods: analytical approximations Advanced Derivatives, Interest Rate Models 2010{2012 c Marco Marchioro Exotic interest-rate options 2 Common exotic interest-rate options There are all sorts of exotic interest-rate options. The least exotic, i.e. commonly traded, types are • Caps and floors with a digital payoff • Caps and floors with barriers • Bermuda and American Swaptions Advanced Derivatives, Interest Rate Models 2010{2012 c Marco Marchioro Exotic interest-rate options 3 Caps and floors with a digital payoff A vanilla Cap has caplets with payoff Payoff CapletV = NT (6m; 9m) max [(3m-Libor − K); 0] (1) A digital Cap has caplets with payoff 8 > NT (6m; 9m) R for 3m-Libor ≥ K Payoff < CapletD = (2) :> 0 for 3m-Libor < K Advanced Derivatives, Interest Rate Models 2010{2012 c Marco Marchioro Exotic interest-rate options 4 Advanced Derivatives, Interest Rate Models 2010{2012 c Marco Marchioro Exotic interest-rate options 5 Caps and floors with barriers A barrier Cap has caplets with payoff Payoff CapletV = NT (6m; 9m) max [(3m-Libor − K); 0] (3) • Knock-in: paid if 3m-Libor touches a barrier rknock-in • Knock-out: paid if 3m-Libor does not reach rknock-out Discrete barriers are checked at certain given barrier dates Continuous barriers are checked on each daily Libor fixing Digital payoffs are also available. -
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. -
Convexity Adjustment for Constant Maturity Swaps and Libor-In-Arrears Basis Swaps12
TMG Financial Products Inc. 475 Steamboat Road Greenwich, CT 06830 Thomas S. Coleman 15 November 1995 VP, Risk Management, 203-861-8993 revised 30 August 1996 CONVEXITY ADJUSTMENT FOR CONSTANT MATURITY SWAPS AND LIBOR-IN-ARREARS BASIS SWAPS12 INTRODUCTION The Constant Maturity Swap or Treasury (CMS or CMT) market is large and active. The difficulty of evaluating the implicit convexity cost, however, makes the markets more opaque than would otherwise be the case. This note lays out a practical method for calculating the value of the convexity adjustment for the linear CMS/CMT and LIBOR-in-arrears payments. Both CMT/CMS and LIBOR-in-arrears swaps share the characteristic that the payment on one side of the swap is linear with respect to its index while the offsetting hedge is convex. The linearity of the payment (relative to the convex hedges) imposes a cost that leads to the "convexity adjustment" made to the linear payment. The basis of the approach used here is to 1. Find for each reset date the equivalent martingale measure (forward measure using a zero bond as numeraire) which makes the PV of a traded swap equal to its market value. In practical terms, this reduces to finding the "adjusted mean" of the rate distribution as of the reset date. For log-normally distributed rates, there are approximations which make this fast. 2. The same forward measure is then used to calculate the PV of the CMS/CMT swap or the LIBOR-in-arrears payment (which is not actively traded). This PV incorporates the convexity cost of the linear payment relative to its (traded) convex hedge. -
The Efficient Pricing of CMS and CMS Spread Derivatives
Delft University of Technology Faculty of Electrical Engineering, Mathematics and Computer Science Delft Institute of Applied Mathematics The efficient pricing of CMS and CMS spread derivatives A thesis submitted to the Delft Institute of Applied Mathematics in partial fulfillment of the requirements for the degree MASTER OF SCIENCE in APPLIED MATHEMATICS by Sebastiaan Louis Cornelis Borst Delft, the Netherlands September 2014 Copyright c 2014 by Sebastiaan Borst. All rights reserved. MSc THESIS APPLIED MATHEMATICS \The efficient pricing of CMS and CMS spread derivatives" Sebastiaan Louis Cornelis Borst Delft University of Technology Daily supervisor Responsible professor Dr. N. Borovykh Prof. dr. ir. C.W. Oosterlee Other thesis committee members Dr. P. Cirillo September 2014 Delft, the Netherlands Abstract Two popular products on the interest rate market are Constant Maturity Swap (CMS) deriva- tives and CMS spread derivatives. This thesis focusses on the efficient pricing of CMS and CMS spread derivatives, in particular the pricing of CMS and CMS spread options. The notional values for these products are usually quite large, so even small errors when pricing these products can lead to substantial losses. Therefore, the pricing of these products has to be accurate. It is possible to use sophisticated models (e.g. Libor Market Model) to price these products, however the downside is that these models generally have high computational costs; they are not very efficient. To efficiently price CMS options the Terminal Swap Rate (TSR) approach can be used. From this approach TSR models are obtained, we will consider four different TSR models. Two of these TSR models are established in the literature, the other two TSR models are developed in this thesis.