Trading Risk, Market Liquidity, and Convergence Trading in the Interest Rate Swap Spread
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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. -
The Interest Rate Parity (IRP) Is a Theory Regarding the Relationship
What is the Interest Rate Parity (IRP)? The interest rate parity (IRP) is a theory regarding the relationship between the spot exchange rate and the expected spot rate or forward exchange rate of two currencies, based on interest rates. The theory holds that the forward exchange rate should be equal to the spot currency exchange rate times the interest rate of the home country, divided by the interest rate of the foreign country. Uncovered Interest Rate Parity vs Covered Interest Rate Parity The uncovered and covered interest rate parities are very similar. The difference is that the uncovered IRP refers to the state in which no-arbitrage is satisfied without the use of a forward contract. In the uncovered IRP, the expected exchange rate adjusts so that IRP holds. This concept is a part of the expected spot exchange rate determination. The covered interest rate parity refers to the state in which no-arbitrage is satisfied with the use of a forward contract. In the covered IRP, investors would be indifferent as to whether to invest in their home country interest rate or the foreign country interest rate since the forward exchange rate is holding the currencies in equilibrium. This concept is part of the forward exchange rate determination. What is the Interest Rate Parity (IRP) Equation? The covered and uncovered IRP equations are very similar, with the only difference being the substitution of the forward exchange rate for the expected spot exchange rate. The following shows the equation for the uncovered interest rate parity: The following -
An Economic Capital Model Integrating Credit and Interest Rate Risk in the Banking Book 1
WORKING PAPER SERIES NO 1041 / APRIL 2009 AN ECONOMIC CAPITAL MODEL INTEGRATING CR EDIT AND INTEREST RATE RISK IN THE BANKING BOOK by Piergiorgio Alessandri and Mathias Drehmann WORKING PAPER SERIES NO 1041 / APRIL 2009 AN ECONOMIC CAPITAL MODEL INTEGRATING CREDIT AND INTEREST RATE RISK IN THE BANKING BOOK 1 by Piergiorgio Alessandri 2 and Mathias Drehmann 3 In 2009 all ECB publications This paper can be downloaded without charge from feature a motif http://www.ecb.europa.eu or from the Social Science Research Network taken from the €200 banknote. electronic library at http://ssrn.com/abstract_id=1365119. 1 The views and analysis expressed in this paper are those of the author and do not necessarily reflect those of the Bank of England or the Bank for International Settlements. We would like to thank Claus Puhr for coding support. We would also like to thank Matt Pritzker and anonymous referees for very helpful comments. We also benefited from the discussant and participants at the conference on the Interaction of Market and Credit Risk jointly hosted by the Basel Committee, the Bundesbank and the Journal of Banking and Finance. 2 Bank of England, Threadneedle Street, London, EC2R 8AH, UK; e-mail: [email protected] 3 Corresponding author: Bank for International Settlements, Centralbahnplatz 2, CH-4002 Basel, Switzerland; e-mail: [email protected] © European Central Bank, 2009 Address Kaiserstrasse 29 60311 Frankfurt am Main, Germany Postal address Postfach 16 03 19 60066 Frankfurt am Main, Germany Telephone +49 69 1344 0 Website http://www.ecb.europa.eu Fax +49 69 1344 6000 All rights reserved. -
Interest Rate Risk and Market Risk Lr024
INTEREST RATE RISK AND MARKET RISK LR024 Basis of Factors The interest rate risk is the risk of losses due to changes in interest rate levels. The factors chosen represent the surplus necessary to provide for a lack of synchronization of asset and liability cash flows. The impact of interest rate changes will be greatest on those products where the guarantees are most in favor of the policyholder and where the policyholder is most likely to be responsive to changes in interest rates. Therefore, risk categories vary by withdrawal provision. Factors for each risk category were developed based on the assumption of well matched asset and liability durations. A loading of 50 percent was then added on to represent the extra risk of less well-matched portfolios. Companies must submit an unqualified actuarial opinion based on asset adequacy testing to be eligible for a credit of one-third of the RBC otherwise needed. Consideration is needed for products with credited rates tied to an index, as the risk of synchronization of asset and liability cash flows is tied not only to changes in interest rates but also to changes in the underlying index. In particular, equity-indexed products have recently grown in popularity with many new product variations evolving. The same C-3 factors are to be applied for equity-indexed products as for their non-indexed counterparts; i.e., based on guaranteed values ignoring those related to the index. In addition, some companies may choose to or be required to calculate part of the RBC on Certain Annuities under a method using cash flow testing techniques. -
2017 Financial Services Industry Outlook
NEW YORK 535 Madison Avenue, 19th Floor New York, NY 10022 +1 212 207 1000 SAN FRANCISCO One Market Street, Spear Tower, Suite 3600 San Francisco, CA 94105 +1 415 293 8426 DENVER 999 Eighteenth Street, Suite 3000 2017 Denver, CO 80202 FINANCIAL SERVICES +1 303 893 2899 INDUSTRY REVIEW MEMBER, FINRA / SIPC SYDNEY Level 2, 9 Castlereagh Street Sydney, NSW, 2000 +61 419 460 509 BERKSHIRE CAPITAL SECURITIES LLC (ARBN 146 206 859) IS A LIMITED LIABILITY COMPANY INCORPORATED IN THE UNITED STATES AND REGISTERED AS A FOREIGN COMPANY IN AUSTRALIA UNDER THE CORPORATIONS ACT 2001. BERKSHIRE CAPITAL IS EXEMPT FROM THE REQUIREMENTS TO HOLD AN AUSTRALIAN FINANCIAL SERVICES LICENCE UNDER THE AUSTRALIAN CORPORATIONS ACT IN RESPECT OF THE FINANCIAL SERVICES IT PROVIDES. BERKSHIRE CAPITAL IS REGULATED BY THE SEC UNDER US LAWS, WHICH DIFFER FROM AUSTRALIAN LAWS. LONDON 11 Haymarket, 2nd Floor London, SW1Y 4BP United Kingdom +44 20 7828 2828 BERKSHIRE CAPITAL SECURITIES LIMITED IS AUTHORISED AND REGULATED BY THE FINANCIAL CONDUCT AUTHORITY (REGISTRATION NUMBER 188637). www.berkcap.com CONTENTS ABOUT BERKSHIRE CAPITAL Summary 1 Berkshire Capital is an independent employee-owned investment bank specializing in M&A in the financial services sector. With more completed transactions in this space than any Traditional Investment Management 6 other investment bank, we help clients find successful, long-lasting partnerships. Wealth Management 9 Founded in 1983, Berkshire Capital is headquartered in New York with partners located in Cross Border 13 London, Sydney, San Francisco, Denver and Philadelphia. Our partners have been with the firm an average of 14 years. We are recognized as a leading expert in the asset management, Real Estate 17 wealth management, alternatives, real estate and broker/dealer industries. -
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. -
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. -
Dynamic Strategic Arbitrage∗
Dynamic Strategic Arbitrage∗ Vincent Fardeauy Frankfurt School of Finance and Managment This version: June 11, 2014 Abstract Asset prices do not adjust instantaneously following uninformative demand or supply shocks. This paper offers a theory based on arbitrageurs' price impact to explain these slow-moving cap- ital dynamics. Arbitrageurs recognizing their price impact break up trades, leading to gradual price adjustments. When shocks are anticipated, prices exhibit a V-shaped pattern, with a peak at the realization of the shocks. The dynamics of market depth and price adjustments depend on the degree of competition between arbitrageurs. When shocks are uncertain, price dynamics depend on the interaction between arbitrageurs' competition and the total risk-bearing capacity of the market. JEL codes: G12, G20, L12; Keywords: Strategic arbitrage, liquidity, price impact, limits of arbitrage. ∗I benefited from comments from Miguel Ant´on,Bruno Biais, Maria-Cecilia Bustamante, Amil Dasgupta, Michael Gordy, Martin Oehmke (discussant), Matt Pritsker, Jean-Charles Rochet, Yuki Sato, Kostas Zachariadis, Jean-Pierre Zigrand and seminar and conference participants at LSE, INSEAD, FRB, the University of Zurich and the 2013 AFA meetings in San Diego. I am grateful to Dimitri Vayanos and Denis Gromb for supervision and insights. Jay Im provided excellent research assistance. This paper is the first part of a paper previously circulated as \Strategic Arbitrage with Entry". All remaining errors are my own. yDepartment of Finance, Frankfurt School of Finance and Management, Sonnemannstrasse 9-11, 60314 Frankfurt am Main, Germany. Email: [email protected]. 1 1 Introduction Empirical evidence shows that prices recover slowly from demand or supply shocks that are unre- lated to future earnings and that these patterns are due to imperfections in the supply of capital. -
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. -
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. -
Optimal Convergence Trading with Unobservable Pricing Errors
OPTIMAL CONVERGENCE TRADING WITH UNOBSERVABLE PRICING ERRORS SÜHAN ALTAY, KATIA COLANERI, AND ZEHRA EKSI Abstract. We study a dynamic portfolio optimization problem related to convergence trading, which is an investment strategy that exploits temporary mispricing by simultane- ously buying relatively underpriced assets and selling short relatively overpriced ones with the expectation that their prices converge in the future. We build on the model of Liu and Timmermann [22] and extend it by incorporating unobservable Markov-modulated pricing errors into the price dynamics of two co-integrated assets. We characterize the optimal portfolio strategies in full and partial information settings both under the assumption of unrestricted and beta-neutral strategies. By using the innovations approach, we provide the filtering equation that is essential for solving the optimization problem under partial information. Finally, in order to illustrate the model capabilities, we provide an example with a two-state Markov chain. 1. Introduction Convergence-type trading strategies have become one of the most popular trading strate- gies that are used to capitalize on market inefficiencies, or deviations from “equilibrium,” especially with the rapid developments in algorithmic and high-frequency trading. For a typical convergence trade, temporary mispricing is exploited by simultaneously buying rel- atively underpriced assets and selling short relatively overpriced assets in anticipation that at some future date their prices will have become closer. Thus one can profit by the extent of the convergence. A prime example of a convergence trade is a pairs trading strategy that involves a long position and a short position in a pair of similar stocks that have moved together historically and hence an investor can profit from the relative value trade arising arXiv:1910.01438v2 [q-fin.PM] 7 Oct 2019 from the cointegration between asset price dynamics involved in the trade. -
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.