Interest Rate Options

Total Page:16

File Type:pdf, Size:1020Kb

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. Model Specification . 17 A.2. Pricing Vanilla Calls . 17 A.3. Pricing Vanilla Puts . 19 A.4. Digital Call Pricing . 20 A.5. LIBOR-in-Arrears Calculations . 20 1. Caps and Floors 1.1. Defintions A cap is a call option on the future realisation of a given underlying LIBOR rate. More specifically, it is a collection (or strip) of caplets, each of which is a call option on the LIBOR level at a specified date in the future. Similarly, a floor is a strip of floorlets, each of which is a put option on the LIBOR level at a given future date. Caps and floors are widely traded OTC instruments. As explained below, they provide protection against widely fluctuating interest rates – a cap, for instance, is insurance against rising interest rates. Caps and floors also reflect market views on the future volatility of LIBOR rates. 1.2. Plain Vanilla Caps In this section, we discuss plain vanilla caps in further detail. For concreteness, suppose the underlying interest rate is the τ− maturity LIBOR. Let L (t, T, τ) denote1 the forward LIBOR at time t for the accrual period [T,T + τ] . The spot LIBOR at time T is then, by definition, L (T, T, τ) . This rate fixes at time T, and a dollar invested at this rate pays 1+τL (T, T, τ) at time T +τ. The maturity τ is expressed in terms of fractions of a year – for example, τ = 0.25 for the 3-month LIBOR. 1Notation: In L (t, T, τ) , the first argument is current time, the second argument is the start date for the accrual period, and the third argument is the length of the accrual period. 2 1.2.1. Caplets As mentioned earlier, a cap is a strip of caplets. The price of a cap is the sum of its constituent caplet prices, and so we focus on these first. A caplet is a call option on L. Specifically, a caplet with maturity date T and strike rate K has the following payoff: at time T + τ, the holder of the caplet receives2 + ζT = τ (L (T, T, τ) − K) Note that the caplet expires at time T, but the payoff is received at the end of the accrual period, i.e. at time T + τ. The payoff is day-count adjusted. The liabilites of the holder of this caplet are always bounded above by the strike rate K, and clearly if interest rates increase, the value of the caplet increases, so that the holder benefits from rising interest rates. By the usual arguments, the price of this caplet is given by the discounted risk-adjusted expected payoff. If {P (t, T ): T ≥ t} represents the observed term structure of zero-coupon bond prices3 at time t, then the price of the caplet is given by ˜ + ζt = τP (t, T + τ) Et (L (T, T, τ) − K) In this equation4, the only random term is the future spot LIBOR, L (T, T, τ) . The price of the caplet therefore depends on the distributional assumptions made on L (T, T, τ) . One of the standard models for this is the Black model, described in the appendix. According to this model, for each maturity T, the risk-adjusted relative changes in the forward LIBOR L (t, T, τ) are normally distributed with specified constant volatility σT , i.e. dL (t, T, τ) = σ dW˜ (t) L (t, T, τ) T As shown in the appendix, this implies a lognormal distribution for L (T, T, τ) , and under this modelling assumption the price of the T – maturity caplet is given by T T ζt = τP (t, T + τ) L (t, T, τ) N d1 − KN d2 where 1 2 T log (L (t, T, τ) /K) ± 2 σT (T − t) d1,2 = √ σT T − t and Z z 1 − 1 u2 N (z) = √ e 2 du 2π −∞ x if x > 0 2Notation: x+ = max {x, 0} = 0 if x ≤ 0 3Notation: In P (t, T ) , t represents current time and T is maturity date. A dollar at time T is worth P (t, T ) dollars at time t. 4 ˜ Notation: Et [.] is the expectation operator, conditioned on all information at time t, hence the subscript, and computed using the risk-adjusted probabilities P˜, hence the superscript. 3 1.2.2. Caps To construct a standard cap on the τ – maturity LIBOR with strike K and maturity T, we proceed as follows. Suppose the current time is t. Starting with T, we proceed backwards in steps of length τ, and let n be the number of complete periods of length τ between t and T. Thus, we get a set of times T0 = t + δ; δ < τ T1 = T0 + τ T2 = T1 + τ = T0 + 2τ . Tn = T = T0 + nτ We then construct a portfolio of n caplets, struck at K, with maturities {T0,T1, ..., Tn−1} . These are called the fixing dates or caplet maturity dates. The dates {T1,T2, ..., Tn} are called payment dates. The cap is then just equal to this strip of caplets. The price of a cap is equal to the price of its constituent caplets. If ζi (t) denotes the price at time t of a caplet with maturity date Ti (and payment date Ti + τ), then the price of the cap is n−1 n−1 X X Ti Ti ζ (t, T ) = ζi (t) = τP (t, Ti+1) L (t, Ti, τ) N d1 − KN d2 i=0 i=0 The only quantity that cannot be directly observed in this pricing formula is the set of forward rate volatilities, σTi . Thus ζ (t, T ) = ζ t, T ; σT0 , σT1 , ..., σTn−1 and a given set of forward rate volatilities produces a unique price. If we can find a single number σ such that ζ (t, T ) = ζ t, T ; σT0 , σT1 , ..., σTn−1 = ζ (t, T ; σ, σ, ..., σ) then this σ is called the implied or Black volatility for the T – maturity cap. The observed prices of caps of various maturities are inverted numerically to obtain a term structure of Black volatilities, and these implied volatilites are quoted on the market. 1.2.3. Bootstrapping the Forward Volatility Curve The forward volatility curve describes information about individual caplet volatilities con- tained in the term structure of implied cap volatilities. It therefore unravels the information contained in the caps, and is useful in pricing other vanilla or exotic options on LIBOR rates. The technique used to extract caplet volatilities is called bootstrapping. The idea is essen- tially that a 10-year cap contains all the caplets in a 5-year cap. We work recursively, using 4 the caplet volatilities in short maturity caps to infer the volatility for the next maturity caplet. Suppose we have a cap volatility term structure as follows. Maturity (yrs) Implied Cap Volatility 1 κ1 2 κ2 . n κn The volatility of the 1-year caplet is just σ1 = κ1. To get the volatility of the 2-year caplet, we use the fact that the 2-year cap consists of a 1-year cap and a 2-year caplet added to it. 2-yr Caplet Price = 2-yr Cap Price – 1-yr Cap Price Since both the quantities on the right hand side are known, we can use this equation to infer an implied volatility for the 2-year caplet. Proceeding in exactly the same manner, we can infer the individual caplet volatilities for all maturities. Interpolation between quoted maturities is either piecewise linear or smoothed. 1.2.4. Caplet as a Put Option on a Zero-Coupon Bond A caplet is a call option on an interest rate, and since bond prices are inversely related to interest rates, it is natural to be able to view a caplet as a put option on a zero coupon bond. Specifically, the payoff of a caplet is τ (L (T, T, τ) − K)+ This payoff is received at time T + τ.
Recommended publications
  • 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]
  • 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]
  • An Analysis of OTC Interest Rate Derivatives Transactions: Implications for Public Reporting
    Federal Reserve Bank of New York Staff Reports An Analysis of OTC Interest Rate Derivatives Transactions: Implications for Public Reporting Michael Fleming John Jackson Ada Li Asani Sarkar Patricia Zobel Staff Report No. 557 March 2012 Revised October 2012 FRBNY Staff REPORTS This paper presents preliminary fi ndings 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 necessarily refl ective 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. An Analysis of OTC Interest Rate Derivatives Transactions: Implications for Public Reporting Michael Fleming, John Jackson, Ada Li, Asani Sarkar, and Patricia Zobel Federal Reserve Bank of New York Staff Reports, no. 557 March 2012; revised October 2012 JEL classifi cation: G12, G13, G18 Abstract This paper examines the over-the-counter (OTC) interest rate derivatives (IRD) market in order to inform the design of post-trade price reporting. Our analysis uses a novel transaction-level data set to examine trading activity, the composition of market participants, levels of product standardization, and market-making behavior. We fi nd that trading activity in the IRD market is dispersed across a broad array of product types, currency denominations, and maturities, leading to more than 10,500 observed unique product combinations. While a select group of standard instruments trade with relative frequency and may provide timely and pertinent price information for market partici- pants, many other IRD instruments trade infrequently and with diverse contract terms, limiting the impact on price formation from the reporting of those transactions.
    [Show full text]
  • Panagora Global Diversified Risk Portfolio General Information Portfolio Allocation
    March 31, 2021 PanAgora Global Diversified Risk Portfolio General Information Portfolio Allocation Inception Date April 15, 2014 Total Assets $254 Million (as of 3/31/2021) Adviser Brighthouse Investment Advisers, LLC SubAdviser PanAgora Asset Management, Inc. Portfolio Managers Bryan Belton, CFA, Director, Multi Asset Edward Qian, Ph.D., CFA, Chief Investment Officer and Head of Multi Asset Research Jonathon Beaulieu, CFA Investment Strategy The PanAgora Global Diversified Risk Portfolio investment philosophy is centered on the belief that risk diversification is the key to generating better risk-adjusted returns and avoiding risk concentration within a portfolio is the best way to achieve true diversification. They look to accomplish this by evaluating risk across and within asset classes using proprietary risk assessment and management techniques, including an approach to active risk management called Dynamic Risk Allocation. The portfolio targets a risk allocation of 40% equities, 40% fixed income and 20% inflation protection. Portfolio Statistics Portfolio Composition 1 Yr 3 Yr Inception 1.88 0.62 Sharpe Ratio 0.6 Positioning as of Positioning as of 0.83 0.75 Beta* 0.78 December 31, 2020 March 31, 2021 Correlation* 0.87 0.86 0.79 42.4% 10.04 10.6 Global Equity 43.4% Std. Deviation 9.15 24.9% U.S. Stocks 23.6% Weighted Portfolio Duration (Month End) 9.0% 8.03 Developed non-U.S. Stocks 9.8% 8.5% *Statistic is measured against the Dow Jones Moderate Index Emerging Markets Equity 10.0% 106.8% Portfolio Benchmark: Nominal Fixed Income 142.6% 42.0% The Dow Jones Moderate Index is a composite index with U.S.
    [Show full text]
  • Interest Rate Swap Contracts the Company Has Two Interest Rate Swap Contracts That Hedge the Base Interest Rate Risk on Its Two Term Loans
    $400.0 million. However, the $100.0 million expansion feature may or may not be available to the Company depending upon prevailing credit market conditions. To date the Company has not sought to borrow under the expansion feature. Borrowings under the Credit Agreement carry interest rates that are either prime-based or Libor-based. Interest rates under these borrowings include a base rate plus a margin between 0.00% and 0.75% on Prime-based borrowings and between 0.625% and 1.75% on Libor-based borrowings. Generally, the Company’s borrowings are Libor-based. The revolving loans may be borrowed, repaid and reborrowed until January 31, 2012, at which time all amounts borrowed must be repaid. The revolver borrowing capacity is reduced for both amounts outstanding under the revolver and for letters of credit. The original term loan will be repaid in 18 consecutive quarterly installments which commenced on September 30, 2007, with the final payment due on January 31, 2012, and may be prepaid at any time without penalty or premium at the option of the Company. The 2008 term loan is co-terminus with the original 2007 term loan under the Credit Agreement and will be repaid in 16 consecutive quarterly installments which commenced June 30, 2008, plus a final payment due on January 31, 2012, and may be prepaid at any time without penalty or premium at the option of Gartner. The Credit Agreement contains certain customary restrictive loan covenants, including, among others, financial covenants requiring a maximum leverage ratio, a minimum fixed charge coverage ratio, and a minimum annualized contract value ratio and covenants limiting Gartner’s ability to incur indebtedness, grant liens, make acquisitions, be acquired, dispose of assets, pay dividends, repurchase stock, make capital expenditures, and make investments.
    [Show full text]
  • Form 6781 Contracts and Straddles ▶ Go to for the Latest Information
    Gains and Losses From Section 1256 OMB No. 1545-0644 Form 6781 Contracts and Straddles ▶ Go to www.irs.gov/Form6781 for the latest information. 2020 Department of the Treasury Attachment Internal Revenue Service ▶ Attach to your tax return. Sequence No. 82 Name(s) shown on tax return Identifying number Check all applicable boxes. A Mixed straddle election C Mixed straddle account election See instructions. B Straddle-by-straddle identification election D Net section 1256 contracts loss election Part I Section 1256 Contracts Marked to Market (a) Identification of account (b) (Loss) (c) Gain 1 2 Add the amounts on line 1 in columns (b) and (c) . 2 ( ) 3 Net gain or (loss). Combine line 2, columns (b) and (c) . 3 4 Form 1099-B adjustments. See instructions and attach statement . 4 5 Combine lines 3 and 4 . 5 Note: If line 5 shows a net gain, skip line 6 and enter the gain on line 7. Partnerships and S corporations, see instructions. 6 If you have a net section 1256 contracts loss and checked box D above, enter the amount of loss to be carried back. Enter the loss as a positive number. If you didn’t check box D, enter -0- . 6 7 Combine lines 5 and 6 . 7 8 Short-term capital gain or (loss). Multiply line 7 by 40% (0.40). Enter here and include on line 4 of Schedule D or on Form 8949. See instructions . 8 9 Long-term capital gain or (loss). Multiply line 7 by 60% (0.60). Enter here and include on line 11 of Schedule D or on Form 8949.
    [Show full text]
  • To: Distributors and Holders of Minibonds Minibonds in The
    To: Distributors and holders of Minibonds Minibonds In the following, we provide answers to some questions which apply generally to the Minibonds, but holders should be aware that each series of Minibonds is different and the status of their series may therefore differ in some respects from the general answers given here. The structure of the Minibonds and the rights of holders are explained more fully in the prospectuses for the issues See the section of the issue prospectuses headed “Information about us and how our Notes are secured” for a general description of the collateral and the swap arrangements.. What is the current status of Lehman Brothers Holdings Inc.? On 15 September 2008 Lehman Brothers Holdings Inc. (“LBHI”) filed a petition (the “Petition”) under Chapter 11 of the U.S. Bankruptcy Code with the United States Bankruptcy Court of the Southern District of New York. What is the role of Lehman Brothers Holdings Inc. in the Minibonds? LBHI is the swap guarantor for the Minibonds and is the guarantor of the collateral for some early series of Minibonds. The swap counterparties for the Minibonds are wholly-owned subsidiaries of LBHI. How does this affect the Minibonds? According to ISDA (the International Swaps and Derivatives Association Inc., an industry body), the filing of the Petition constitutes an event of default under swaps such as the swap arrangements which Pacific International Finance Limited, the issuer of the Minibonds, has entered into with Lehman. This means that the Minibonds will, subject to conditions and to a number of other procedures, be subject to early redemption unless the trustee for the Minibonds directs otherwise.
    [Show full text]
  • 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 .
    [Show full text]
  • 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.
    [Show full text]
  • IDEX IRS Products
    IDEX IRS Products International Derivatives Clearing Group (IDCG), a majority owned, independently operated subsidiary of The NASDAQ OMX Group®, has developed an integrated derivatives trading and clearing platform. This platform will provide an efficient and transparent venue to trade, clear and settle IDEXTM interest rate swap (IRS) futures as well as other fixed income derivatives contracts. The platform offers a state-of-the-art trade matching engine and a best-in-breed clearing system through IDCG’s wholly-owned subsidiary, the International Derivatives Clearinghouse, LLC (IDCH)*. The trade matching engine is provided by IDCG and operated under the auspices of the NASDAQ OMX Futures Exchange (NFX), a wholly- owned subsidiary of The NASDAQ OMX Group, in NFX’s capacity as a CFTC-designated contract market for IDEXTM IRS futures products. IDEXTM IRS Product Offerings IDEXTM IRS futures are designed to be economically equivalent in every material respect to plain vanilla interest rate swap contracts currently traded in the OTC derivatives market. The first product launched was IDEXTM USD Interest Rate Swap Futures. • IDEXTM USD Interest Rate Swap Futures — The exchange of semi-annual fixed-rate payments in exchange for quarterly floating-rate payments based on the 3-Month U.S. Dollar London Interbank Offered Rate (USD LIBOR). There are thirty years of daily maturities available for trading on days that NFX and IDCH are open for business. • IDEX SwapDrop PortalTM — The SwapDrop Portal is a web portal maintained by the NFX, which is utilized to report Exchange of Futures for Swaps (EFS) transactions involving IDEXTM USD Interest Rate Swap Futures contracts.
    [Show full text]
  • Inflation Derivatives: Introduction One of the Latest Developments in Derivatives Markets Are Inflation- Linked Derivatives, Or, Simply, Inflation Derivatives
    Inflation-indexed Derivatives Inflation derivatives: introduction One of the latest developments in derivatives markets are inflation- linked derivatives, or, simply, inflation derivatives. The first examples were introduced into the market in 2001. They arose out of the desire of investors for real, inflation-linked returns and hedging rather than nominal returns. Although index-linked bonds are available for those wishing to have such returns, as we’ve observed in other asset classes, inflation derivatives can be tailor- made to suit specific requirements. Volume growth has been rapid during 2003, as shown in Figure 9.4 for the European market. 4000 3000 2000 1000 0 Jul 01 Jul 02 Jul 03 Jan 02 Jan 03 Sep 01 Sep 02 Mar 02 Mar 03 Nov 01 Nov 02 May 01 May 02 May 03 Figure 9.4 Inflation derivatives volumes, 2001-2003 Source: ICAP The UK market, which features a well-developed index-linked cash market, has seen the largest volume of business in inflation derivatives. They have been used by market-makers to hedge inflation-indexed bonds, as well as by corporates who wish to match future liabilities. For instance, the retail company Boots plc added to its portfolio of inflation-linked bonds when it wished to better match its future liabilities in employees’ salaries, which were assumed to rise with inflation. Hence, it entered into a series of 1 Inflation-indexed Derivatives inflation derivatives with Barclays Capital, in which it received a floating-rate, inflation-linked interest rate and paid nominal fixed- rate interest rate. The swaps ranged in maturity from 18 to 28 years, with a total notional amount of £300 million.
    [Show full text]