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Incentives for Central Clearing and the Evolution of Otc Derivatives
INCENTIVES FOR CENTRAL CLEARING AND THE EVOLUTION OF OTC DERIVATIVES – [email protected] A CCP12 5F No.55 Yuanmingyuan Rd. Huangpu District, Shanghai, China REPORT February 2019 TABLE OF CONTENTS TABLE OF CONTENTS................................................................................................... 2 EXECUTIVE SUMMARY ................................................................................................. 5 1. MARKET OVERVIEW ............................................................................................. 8 1.1 CENTRAL CLEARING RATES OF OUTSTANDING TRADES ..................... 8 1.2 MARKET STRUCTURE – COMPRESSION AND BACKLOADING ............... 9 1.3 CURRENT CLEARING RATES ................................................................... 11 1.4 INITIAL MARGIN HELD AT CCPS .............................................................. 16 1.5 UNCLEARED MARKETS ............................................................................ 17 1.5.1 FX OPTIONS ...................................................................................... 18 1.5.2 SWAPTIONS ...................................................................................... 19 1.5.3 EUROPE ............................................................................................ 21 2. TRADE PROCESSING ......................................................................................... 23 2.1 TRADE PROCESSING OF NON-CLEARED TRADES ............................... 23 2.1.1 CUSTODIAL ARRANGEMENTS ....................................................... -
Section 1256 and Foreign Currency Derivatives
Section 1256 and Foreign Currency Derivatives Viva Hammer1 Mark-to-market taxation was considered “a fundamental departure from the concept of income realization in the U.S. tax law”2 when it was introduced in 1981. Congress was only game to propose the concept because of rampant “straddle” shelters that were undermining the U.S. tax system and commodities derivatives markets. Early in tax history, the Supreme Court articulated the realization principle as a Constitutional limitation on Congress’ taxing power. But in 1981, lawmakers makers felt confident imposing mark-to-market on exchange traded futures contracts because of the exchanges’ system of variation margin. However, when in 1982 non-exchange foreign currency traders asked to come within the ambit of mark-to-market taxation, Congress acceded to their demands even though this market had no equivalent to variation margin. This opportunistic rather than policy-driven history has spawned a great debate amongst tax practitioners as to the scope of the mark-to-market rule governing foreign currency contracts. Several recent cases have added fuel to the debate. The Straddle Shelters of the 1970s Straddle shelters were developed to exploit several structural flaws in the U.S. tax system: (1) the vast gulf between ordinary income tax rate (maximum 70%) and long term capital gain rate (28%), (2) the arbitrary distinction between capital gain and ordinary income, making it relatively easy to convert one to the other, and (3) the non- economic tax treatment of derivative contracts. Straddle shelters were so pervasive that in 1978 it was estimated that more than 75% of the open interest in silver futures were entered into to accommodate tax straddles and demand for U.S. -
A Profit Model for Spread Trading with an Application to Energy Futures
A profit model for spread trading with an application to energy futures by Takashi Kanamura, Svetlozar T. Rachev, Frank J. Fabozzi No. 27 | MAY 2011 WORKING PAPER SERIES IN ECONOMICS KIT – University of the State of Baden-Wuerttemberg and National Laboratory of the Helmholtz Association econpapers.wiwi.kit.edu Impressum Karlsruher Institut für Technologie (KIT) Fakultät für Wirtschaftswissenschaften Institut für Wirtschaftspolitik und Wirtschaftsforschung (IWW) Institut für Wirtschaftstheorie und Statistik (ETS) Schlossbezirk 12 76131 Karlsruhe KIT – Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft Working Paper Series in Economics No. 27, May 2011 ISSN 2190-9806 econpapers.wiwi.kit.edu A Profit Model for Spread Trading with an Application to Energy Futures Takashi Kanamura J-POWER Svetlozar T. Rachev¤ Chair of Econometrics, Statistics and Mathematical Finance, School of Economics and Business Engineering University of Karlsruhe and KIT, Department of Statistics and Applied Probability University of California, Santa Barbara and Chief-Scientist, FinAnalytica INC Frank J. Fabozzi Yale School of Management October 19, 2009 ABSTRACT This paper proposes a profit model for spread trading by focusing on the stochastic move- ment of the price spread and its first hitting time probability density. The model is general in that it can be used for any financial instrument. The advantage of the model is that the profit from the trades can be easily calculated if the first hitting time probability density of the stochastic process is given. We then modify the profit model for a particular market, the energy futures market. It is shown that energy futures spreads are modeled by using a mean- reverting process. -
Understanding Swap Spread.Pdf
Understanding and modelling swap spreads By Fabio Cortes of the Bank’s Foreign Exchange Division. Interest rate swap agreements were developed for the transfer of interest rate risk. Volumes have grown rapidly in recent years and now the swap market not only fulfils this purpose, but is also used to extract information about market expectations and to provide benchmark rates against which to compare returns on fixed-income securities such as corporate and government bonds. This article explains what swaps are; what information might be extracted from them; and what appear to have been the main drivers of swap spreads in recent years. Some quantitative relationships are explored using ten-year swap spreads in the United States and the United Kingdom as examples. Introduction priced efficiently at all times, swap spreads may be altered by perceptions of the economic outlook and A swap is an agreement between two parties to exchange supply and demand imbalances in both the swap and cash flows in the future. The most common type of the government bond markets. interest rate swap is a ‘plain vanilla fixed-for-floating’ interest rate swap(1) where one party wants to receive The volume of swap transactions has increased rapidly floating (variable) interest rate payments over a given in recent years (see Chart 1). Swaps are the largest period, and is prepared to pay the other party a fixed type of traded interest rate derivatives in the OTC rate to receive those floating payments. The floating (over-the-counter)(4) market, accounting for over 75% of rate is agreed in advance with reference to a specific short-term market rate (usually three-month or Chart 1 six-month Libor).(2) The fixed rate is called the swap rate OTC interest rate contracts by instrument in all and should reflect, among other things, the value each currencies Total interest rate swaps outstanding party attributes to the series of floating-rate payments to Total forward-rate agreements outstanding Total option contracts outstanding US$ trillions be made over the life of the contract. -
Specialty Strategies
RCM Alternatives: AlternaRCt M ve s Whitepaper Specialty Strategies 318 W Adams St 10th FL | Chicago, IL 60606 | 855-726-0060 www.rcmalternatives.com | [email protected] RCM Alternatives: Specialty Strategies RCM It’s fairly common for “trend following” and “managed futures” to be used interchangeably. But there are many more strategies out there beyond the standard approach – a variety of approaches that we call Specialty Strategies. Specialty strategies include short-term, options, and spread traders. Short-Term Systematic Traders The cousin to the multi-market systematic trend is the trading equivalent of an arms race that most follower, the short-term systematic program will also money managers want to stay as far away from as look to latch onto a “trend” in an effort to make a possible. profit. The difference here has to do with timeframe, and how that impacts their trend identification, What types of shorter-term traders can we length of trade, and performance during volatile expect to invest with? First, there are day trading times. Unlike longer-term trend followers, short-term strategies. A day trading system is defined by a systematic traders may believe an hours-long move is single characteristic: that it will NOT hold a position enough to represent a trend, allowing them to take overnight, with all positions covered by the end of advantage of market moves that are much shorter in the trading day. This appeals to many investors who duration. One man’s noise is another’s treasure in the don’t like the prospect of something happening in minds of short term traders. -
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. -
A Study on Advantages of Separate Trade Book for Bull Call Spreads and Bear Put Spreads
IOSR Journal of Business and Management (IOSR-JBM) e-ISSN: 2278-487X, p-ISSN: 2319-7668 PP 11-20 www.iosrjournals.org A Study on Advantages of Separate Trade book for Bull Call Spreads and Bear Put Spreads. Chirag Babulal Shah PhD (Pursuing), M.M.S., B.B.A., D.B.M., P.G.D.F.T., D.M.T.T. Assistant Professor at Indian Education Society’s Management College and Research Centre. Abstract: Derivatives are revolutionary instruments and have changed the way one looks at the financial world. Derivatives were introduced as a hedging tool. However, as the understanding of the intricacies of these instruments has evolved, it has become more of a speculative tool. The biggest advantage of Derivative instruments is the leverage it provides. The other benefit, which is not available in the spot market, is the ability to short the underlying, for more than a day. Thus it is now easy to take advantage of the downtrend. However, the small retail participants have not had a good overall experience of trading in derivatives and the public at large is still bereft of the advantages of derivatives. This has led to a phobia for derivatives among the small retail market participants, and they prefer to stick to the old methods of investing. The three main reasons identified are lack of knowledge, the margining methods and the quantity of the lot size. The brokers have also misled their clients and that has led to catastrophic results. The retail participation in the derivatives markets has dropped down dramatically. But, are these derivative instruments and especially options, so bad? The answer is NO. -
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. -
Financial Derivatives 1
Giulia Iori, Financial Derivatives 1 Financial Derivatives Giulia Iori Giulia Iori, Financial Derivatives 2 Contents • Introduction to Financial Markets and Financial Derivatives • Review of Probability and Random Variable • Vanilla Option Pricing. – Random Walk – Binomial model. – Stochastic Processes. ∗ Martingales ∗ Wiener process ∗ Some basic properties of the Stochastic Integral ∗ Ito’s Lemma – Black-Scholes model: portfolio replication approach. – The Greeks: Delta hedging, Gamma hedging. – Change of probability measures and Bayes Formula. – Girsanov Theorem. – Black-Scholes model: risk neutral evaluation. – Feynman-Kac Formula and Risk neutral pricing. – Change of Numeraire Theorem. • Interest Rate Models • Overview of Exotic Derivatives • Energy and Weather Derivatives Giulia Iori, Financial Derivatives 3 Overview of Financial Markets Functions of Financial Markets: Financial markets determine the prices of assets, provide a place for exchanging assets and lower costs of transacting. This aids the resource allocation process for the whole economy. • price discovery process • provide liquidity • reduce search costs • reduce information costs Market Efficiency: • Operational efficiency: fees charged by professional reflect true cost of providing those services. • price efficiency: prices reflect the true values of assets. – Weak efficiency: current price reflect information embodied in past price movements. – Semistrong efficiency: current price reflect information embodied in past price movements and public information. – Strong efficiency: current price reflect information embodied in past price movements and all public and private information. Brief history: Birth of shareholding enterprise, Muscovy Company (1553), East India Company (1600), Hudson’s Bay Company (1668). Trading starts on the shares of these com- pany. Amsterdam stock exchange (1611), Austrian Bourse in Vienna (1771). In London coffee houses where brokers meet. -
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. -
Swap Curve Building at Factset: the Multi-Curve Framework
www.factset.com SWAP CURVE BUILDING AT FACTSET: THE MULTI-CURVE FRAMEWORK By Tom P. Davis Vice President, Director, Research, Fixed Income and Derivatives QRD Figo Liu Financial Engineer, Fixed Income and Derivatives QRD Swap Curve Building at FactSet Tom P. Davis Figo Liu [email protected] [email protected] 1 Introduction The interest rate swap (IRS) market is the third largest market in the U.S. for interest rate securities after U.S. Treasuries and mortgage backed securities (MBS), as demonstrated by Table 1. Interest rate swap curves are important not just for valuing swaps, but also for their role in determining the market expectation of future LIBOR fixings, since many financial securities have coupons that are set based on this fixing. Financial markets changed significantly due to the global financial crisis (GFC) of 2008, none more so than the IRS market. The market changes were so disruptive that they caused a reexamination of the entire foundation of quantitative finance. Security Type Gross Market Value U.S. Treasuries 17.57 Trillion USD U.S. Mortgage Backed Securities 10.076 Trillion USD Interest Rate Derivatives 1.434 Trillion USD Table 1: U.S. market sizes as of Q4 2017. The U.S. Treasury and the Interest Rate Derivatives data are taken from the Bank of International Settlements, and the U.S. mortgage data is taken from the Federal Reserve Bank of St. Louis. The IRD market may look small in comparison; however, the notional amount outstanding is 156.5 trillion USD. To begin to understand why these changes were so disruptive, a basic refresher on IRS is useful. -
Affidavit of Stewart Mayhew
Affidavit of Stewart Mayhew I. Qualifications 1. I am a Principal at Cornerstone Research, an economic and financial consulting firm, where I have been working since 2010. At Cornerstone Research, I have conducted statistical and economic analysis for a variety of matters, including cases related to securities litigation, financial institutions, regulatory enforcement investigations, market manipulation, insider trading, and economic studies of securities market regulations. 2. Prior to working at Cornerstone Research, I worked at the U.S. Securities and Exchange Commission (“SEC” or “Commission”) as Deputy Chief Economist (2008-2010), Assistant Chief Economist (2004-2008), and Visiting Academic Scholar (2002-2004). From 2004 to 2008, I headed a group that was responsible for providing economic analysis and support for the Division of Trading and Markets (formerly known as the Division of Market Regulation), the Division of Investment Management, and the Office of Compliance Inspections and Examinations. Among my responsibilities were to analyze SEC rule proposals relating to market structure for the trading of stocks, bonds, options, and other products, and to perform analysis in connection with compliance examinations to assess whether exchanges, dealers, and brokers were complying with existing rules. I also assisted the Division of Enforcement on numerous investigations and enforcement actions, including matters involving market manipulation. 3. I have taught doctoral level, masters level, and undergraduate level classes in finance as Assistant Professor in the Finance Group at the Krannert School of Management, Purdue University (1996-1999), as Assistant Professor in the Department of Banking and Finance at the Terry College of Business, University of Georgia (2000-2004), and as a Lecturer at the Robert H.