A Teaching Note on Pricing and Valuing Interest Rate Swaps Using LIBOR and OIS Discounting
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LIBOR Transition Faqs ‘Big Bang’ CCP Switch Over
RED = Final File Size/Bleed Line BLACK = Page Size/Trim Line MAGENTA = Margin/Safe Art Boundary NOT A PRODUCT OF BARCLAYS RESEARCH LIBOR Transition FAQs ‘Big bang’ CCP switch over 1. When will CCPs switch their rates for discounting 2. €STR Switch Over to new risk-free rates (RFRs)? What is the ‘big bang’ 2a. What are the mechanics for the cash adjustment switch over? exchange? Why is this necessary? As part of global industry efforts around benchmark reform, Each CCP will perform a valuation using EONIA and then run most systemic Central Clearing Counterparties (CCPs) are the same valuation by switching to €STR. The switch to €STR expected to switch Price Aligned Interest (PAI) and discounting discounting will lead to a change in the net present value of EUR on all cleared EUR-denominated products to €STR in July 2020, denominated trades across all CCPs. As a result, a mandatory and for USD-denominated derivatives to SOFR in October 2020. cash compensation mechanism will be used by the CCPs to 1a. €STR switch over: weekend of 25/26 July 2020 counter this change in value so that individual participants will experience almost no ‘net’ changes, implemented through a one As the momentum of benchmark interest rate reform continues off payment. This requirement is due to the fact portfolios are in Europe, while EURIBOR has no clear end date, the publishing switching from EONIA to €STR flat (no spread), however there of EONIA will be discontinued from 3 January 2022. Its is a fixed spread between EONIA and €STR (i.e. -
B. Recent Changes in the Financial Secto R
- 21 - References Calvo, Gullermo A.,1983, “Staggered Prices in a Utility-Maximizing Framework,” Journal of Monetary Economics, Vol. 12(3), 383–398. Gali, Jordi, and Mark Gertler, 1999, “Inflation Dynamics: A Structural Econometric Analysis,” Journal of Monetary Economics, Vol. 44(2), 195–222. Kara, Amit, and Edward Nelson, 2004, “The Exchange Rate and Inflation in the U.K.,” CEPR Discussion Papers No. 3783. Roberts, John M.,1995, “New Keynesian Economics and the Phillips Curve,” Journal of Money, Credit, and Banking, Vol. 27(4), 975–984. Walsh, Carl E., 2003, Monetary Theory and Policy, 2nd Edition, Cambridge, The MIT Press. - 22 - 1 III. FINANCIAL SECTOR STRENGTHS AND VULNERABILITIES—AN UPDATE A. Introduction 1. This chapter reports on strengths and vulnerabilities that may have developed in the financial system since the time of the Latvia Financial System Stability Assessment (IMF Country Report No. 02/67), and discusses measures available to the authorities for further strengthening of the system. The FSSA found that the banking system was well capitalized, profitable and liquid. It was “fairly resilient” to interest rate increases, rapid credit expansion and possible withdrawal of nonresident deposits. The FSSA recommended continued vigilance by banks and the Financial and Capital Markets Commission (FCMC) to ensure that new vulnerabilities did not develop in these areas. Nonbank financial institutions were judged not large enough to be a source of systemic risk. Supervision and regulation were judged to be robust. 2. The present assessment is based mainly on an analysis of financial soundness indicators, including macroeconomic indicators such as inflation, and on stress tests of the financial system. -
Credit Derivatives Handbook
08 February 2007 Fixed Income Research http://www.credit-suisse.com/researchandanalytics Credit Derivatives Handbook Credit Strategy Contributors Ira Jersey +1 212 325 4674 [email protected] Alex Makedon +1 212 538 8340 [email protected] David Lee +1 212 325 6693 [email protected] This is the second edition of our Credit Derivatives Handbook. With the continuous growth of the derivatives market and new participants entering daily, the Handbook has become one of our most requested publications. Our goal is to make this publication as useful and as user friendly as possible, with information to analyze instruments and unique situations arising from market action. Since we first published the Handbook, new innovations have been developed in the credit derivatives market that have gone hand in hand with its exponential growth. New information included in this edition includes CDS Orphaning, Cash Settlement of Single-Name CDS, Variance Swaps, and more. We have broken the information into several convenient sections entitled "Credit Default Swap Products and Evaluation”, “Credit Default Swaptions and Instruments with Optionality”, “Capital Structure Arbitrage”, and “Structure Products: Baskets and Index Tranches.” We hope this publication is useful for those with various levels of experience ranging from novices to long-time practitioners, and we welcome feedback on any topics of interest. FOR IMPORTANT DISCLOSURE INFORMATION relating to analyst certification, the Firm’s rating system, and potential conflicts -
Derivative Valuation Methodologies for Real Estate Investments
Derivative valuation methodologies for real estate investments Revised September 2016 Proprietary and confidential Executive summary Chatham Financial is the largest independent interest rate and foreign exchange risk management consulting company, serving clients in the areas of interest rate risk, foreign currency exposure, accounting compliance, and debt valuations. As part of its service offering, Chatham provides daily valuations for tens of thousands of interest rate, foreign currency, and commodity derivatives. The interest rate derivatives valued include swaps, cross currency swaps, basis swaps, swaptions, cancellable swaps, caps, floors, collars, corridors, and interest rate options in over 50 market standard indices. The foreign exchange derivatives valued nightly include FX forwards, FX options, and FX collars in all of the major currency pairs and many emerging market currency pairs. The commodity derivatives valued include commodity swaps and commodity options. We currently support all major commodity types traded on the CME, CBOT, ICE, and the LME. Summary of process and controls – FX and IR instruments Each day at 4:00 p.m. Eastern time, our systems take a “snapshot” of the market to obtain close of business rates. Our systems pull over 9,500 rates including LIBOR fixings, Eurodollar futures, swap rates, exchange rates, treasuries, etc. This market data is obtained via direct feeds from Bloomberg and Reuters and from Inter-Dealer Brokers. After the data is pulled into the system, it goes through the rates control process. In this process, each rate is compared to its historical values. Any rate that has changed more than the mean and related standard deviation would indicate as normal is considered an outlier and is flagged for further investigation by the Analytics team. -
No Arbitrage Pricing and the Term Structure of Interest Rates
No Arbitrage Pricing and the Term Structure of Interest Rates by Thomas Gustavsson Economic Studies 1992:2 Department of Economics Uppsala University Originally published as ISBN 91-87268-11-6 and ISSN 0283-7668 Acknowledgement I would like to thank my thesis advisor professor Peter Englund for helping me to complete this project. I could not have done it without the expert advice of Ingemar Kaj from the Department of Mathematics at Uppsala University. I am also grateful to David Heath of Cornell University for reading and discussing an early version of this manuscript. Repeated conversations with Martin Kulldorff and Hans Dill´en,both Uppsala University, and Rainer Sch¨obel, T¨ubingen,have also been most helpful. The usual disclaimer applies. Financial support for this project was received from Bo Jonas Sj¨onanders Minnesfond and Bankforskningsinstitutet. Special thanks to professors Sven- Erik Johansson, Nils Hakansson, Claes-Henric Siven and Erik Dahm´enfor their support. Uppsala May 1992 Abstract This dissertation provides an introduction to the concept of no arbitrage pricing and probability measures. In complete markets prices are arbitrage-free if and only if there exists an equivalent probability measure under which all asset prices are martingales. This is only a slight generalization of the classical fair game hypothesis. The most important limitation of this approach is the requirement of free and public information. Also in order to apply the martingale repre- sentation theorem we have to limit our attention to stochastic processes that are generated by Wiener or Poisson processes. While this excludes branching it does include diffusion processes with stochastic variances. -
Buy-Side Participation in OTC Derivatives Markets
Buy-side Participation in OTC Derivatives Markets July 2017 SOLUM FINANCIAL LIMITED www.solum-financial.com Glossary CCP Central Counterparty CTD Cheapest-to-deliver CSA Credit Support Annex EMIR European Market Infrastructure Regulation FRS Financial Reporting Standards IFRS International Financial Reporting Standards ISDA International Swaps and Derivatives Association, Inc. LDI Liability-driven Investment LIBOR London Interbank Offered Rate MiFID Markets in Financial Instruments Directive MiFIR Markets in Financial Instruments Regulation MMFs Money Market Funds MVA Margin Value Adjustment OIS Overnight Indexed Swap OTC Over-the-counter SONIA Sterling Overnight Index Average SIMM Standard Initial Margin Model TRS Total Return Swaps UMR Uncleared Margin Rules xVA Derivatives Valuation Adjustment (includes all of CVA/DVA/FCA/FBA/KVA/MVA etc.) Solum Disclaimer This paper is provided for your information only and does not constitute legal, tax, accountancy or regulatory advice or advice in relation to the purpose of buying or selling securities or other financial instruments. No representation, warranty, responsibility or liability, express or implied, is made to or accepted by us or any of our principals, officers, contractors or agents in relation to the accuracy, appropriateness or completeness of this paper. All information and opinions contained in this paper are subject to change without notice, and we have no responsibility to update this paper after the date hereof. This report may not be reproduced or circulated without our prior written authority. 2 1 Introduction Buy-side institutions have very different business models to their dealing counterparties on the sell-side, and operate under a separate regulatory framework. Whilst banks will usually seek to run a balanced book of derivatives, buy-side institutions are often running highly directional portfolios as they seek to hedge the liabilities of pension fund clients or express macro-economic views. -
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. -
Reform of Interest Rate Benchmarks for Q4 2019
Annex 1 Results of Survey on Reform of Interest Rate Benchmarks for Q4 2019 1. Hong Kong banking sector’s exposures referencing LIBOR (LIBOR exposures) (HK$ trillion, as at end-September 2019) Assets Liabilities Derivatives Total amount of LIBOR exposures (note) $4.5 $1.6 $34.6 as a % of total assets or liabilities denominated in 30% 11% N/A foreign currencies LIBOR exposures which will mature after end-2021 $1.5 $0.5 $16.1 of which without adequate fall-back $1.4 $0.5 $14.7 outstanding amount as a % of total LIBOR assets, liabilities or derivatives 33% 32% 46% Note: Includes exposures referencing LIBOR in five currencies (i.e. USD, EUR, GBP, JPY and CHF), as well as benchmarks calculated based on LIBOR, including Singapore Dollar Swap Offer Rate (SOR), Thai Baht Interest Rate Fixing (THBFIX), Mumbai Interbank Forward Offer Rate (MIFOR) and Philippine Interbank Reference Rate (PHIREF). 2. Hong Kong banking sector’s exposures referencing HIBOR (HIBOR exposures) (HK$ trillion, as at end-September 2019) Assets Liabilities Derivatives Total amount of HIBOR exposures $4.7 $0.2 $12.2 as a % of total assets or liabilities denominated in HKD 49% 2% N/A 3. AIs’ preparation for transition to alternative reference rates (ARRs) Key components in AIs’ preparatory work for transition to ARRs % AIs having the component in place Establishment of a steering committee and/or appointment of a 63% senior executive for overseeing the preparation for transition Development of a bank-wide transition plan 38% Quantification and monitoring of LIBOR exposures 48% Impact assessment across businesses and functions 42% Identification and evaluation of risk associated with the transition 38% Identification of affected IT systems and development of a plan to 39% upgrade these systems Identification of affected internal models and development of a plan 36% to modify these models Development of a plan to introduce ARR products 28% Development of a plan to reduce LIBOR exposures 25% Development of a plan to renegotiate LIBOR-linked contracts 24% 4. -
Modelling and Forecasting Macroeconomic
Temi di discussione (Working Papers) Modeling and forecasting macroeconomic downside risk by Davide Delle Monache, Andrea De Polis and Ivan Petrella March 2021 March Number 1324 Temi di discussione (Working Papers) Modeling and forecasting macroeconomic downside risk by Davide Delle Monache, Andrea De Polis and Ivan Petrella Number 1324 - March 2021 The papers published in the Temi di discussione series describe preliminary results and are made available to the public to encourage discussion and elicit comments. The views expressed in the articles are those of the authors and do not involve the responsibility of the Bank. Editorial Board: Federico Cingano, Marianna Riggi, Monica Andini, Audinga Baltrunaite, Marco Bottone, Davide Delle Monache, Sara Formai, Francesco Franceschi, Adriana Grasso, Salvatore Lo Bello, Juho Taneli Makinen, Luca Metelli, Marco Savegnago. Editorial Assistants: Alessandra Giammarco, Roberto Marano. ISSN 1594-7939 (print) ISSN 2281-3950 (online) Printed by the Printing and Publishing Division of the Bank of Italy MODELING AND FORECASTING MACROECONOMIC DOWNSIDE RISK by Davide Delle Monache*, Andrea De Polis** and Ivan Petrella** Abstract We document a substantial increase in downside risk to US economic growth over the last 30 years. By modelling secular trends and cyclical changes of the predictive density of GDP growth, we find an accelerating decline in the skewness of the conditional distributions, with significant, procyclical variations. Decreasing trend-skewness, which turned negative in the aftermath of the Great Recession, is associated with the long-run growth slowdown started in the early 2000s. Short-run skewness fluctuations imply negatively skewed predictive densities ahead of and during recessions, often anticipated by deteriorating financial conditions, while positively skewed distributions characterize expansions. -
My Company Has an Existing Loan That References SOR and Matures After End 2021
PUBLIC FRENQUENTLY ASKED QUESTIONS FAQs FOR CORPORATES LOANS – EXISTING/LEGACY Q1: My company has an existing loan that references SOR and matures after end 2021. What should I do about this? There is no immediate impact on your loan at this juncture, and your bank will be reaching out to you in due course to assist with the transition. However, to prepare for the upcoming transition, you are encouraged to review the terms and conditions of your loan contract to understand the implications and the actions required. Q2. Can my bank just replace my SOR loan pricing to SIBOR (or enhanced SIBOR)? Your bank will be writing to you at the appropriate time to consider different options. You will have the ability to choose the right loan package that best meets your needs. You will also need to consider if replacing a SOR loan with other benchmarks impacts your related transactions (e.g. hedges) and the corresponding accounting and tax implications. SORA and SIBOR are different SGD benchmarks that are determined on a different basis. In relation to the usage of SIBOR, ABS Benchmarks Administration Pte Ltd (ABS Co) is conducting a transitional testing for the enhanced SIBOR, and will provide an update after the transitional testing is completed in 2H 2020. The results of the transitional testing will be considered by the Steering Committee for SOR Transition to SORA (SC-STS), which will issue industry guidance in due course. While SORA is not commonly used in the loan market, it is not new and has been published daily by the MAS since 2005. -
Research Notes in Economics
No: 2018-03 | April 11, 2018 Research Notes in Economics Estimation of Currency Swap Yield Curve İbrahim Ethem Güney Abdullah Kazdal Doruk Küçüksaraç Abstract Currency swap is a financial derivative that allows parties to transform assets or liabilities denominated in one currency into another one. This product has been widely utilized in global financial markets in order to manage foreign exchange liquidity and to conduct carry trade transactions. Besides, central banks and investors follow currency swap market for the purposes of valuing financial derivatives, estimating counterparty risk and inferring about monetary policy stance. Currency swap transactions have substantial amount of volume in Turkey and they are extensively used by the banks. Given its frequent use, it is crucial to interpret the information related to currency swap rates. However, currency swap rates are quoted as par-rate, which is the coupon rate that makes the value of all cash flows equal to the face value, and their interpretation is not straightforward. This note employs one of the most popular parametric methods, Nelson-Siegel model, for currency swap rates to form a zero-coupon currency swap yield curve. In this regard, we provide an approach to convert the quoted currency swap rates to zero-coupon currency rates. The estimation results show that the fitted and quoted currency swap rates are quite close to each other. Additionally, the zero-coupon swap rates are compared with forward implied rates for specific maturities since both products are quite similar in nature. Both rates are observed to move together, which shows the consistency of our estimations. -
Introduction Section 4000.1
Introduction Section 4000.1 This section contains product profiles of finan- Each product profile contains a general cial instruments that examiners may encounter description of the product, its basic character- during the course of their review of capital- istics and features, a depiction of the market- markets and trading activities. Knowledge of place, market transparency, and the product’s specific financial instruments is essential for uses. The profiles also discuss pricing conven- examiners’ successful review of these activities. tions, hedging issues, risks, accounting, risk- These product profiles are intended as a general based capital treatments, and legal limitations. reference for examiners; they are not intended to Finally, each profile contains references for be independently comprehensive but are struc- more information. tured to give a basic overview of the instruments. Trading and Capital-Markets Activities Manual February 1998 Page 1 Federal Funds Section 4005.1 GENERAL DESCRIPTION commonly used to transfer funds between depository institutions: Federal funds (fed funds) are reserves held in a bank’s Federal Reserve Bank account. If a bank • The selling institution authorizes its district holds more fed funds than is required to cover Federal Reserve Bank to debit its reserve its Regulation D reserve requirement, those account and credit the reserve account of the excess reserves may be lent to another financial buying institution. Fedwire, the Federal institution with an account at a Federal Reserve Reserve’s electronic funds and securities trans- Bank. To the borrowing institution, these funds fer network, is used to complete the transfer are fed funds purchased. To the lending institu- with immediate settlement.