Liquidity Effects in Options Markets: Premium Or Discount?
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Managing Volatility Risk
Managing Volatility Risk Innovation of Financial Derivatives, Stochastic Models and Their Analytical Implementation Chenxu Li Submitted in partial fulfillment of the Requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2010 c 2010 Chenxu Li All Rights Reserved ABSTRACT Managing Volatility Risk Innovation of Financial Derivatives, Stochastic Models and Their Analytical Implementation Chenxu Li This dissertation investigates two timely topics in mathematical finance. In partic- ular, we study the valuation, hedging and implementation of actively traded volatil- ity derivatives including the recently introduced timer option and the CBOE (the Chicago Board Options Exchange) option on VIX (the Chicago Board Options Ex- change volatility index). In the first part of this dissertation, we investigate the pric- ing, hedging and implementation of timer options under Heston’s (1993) stochastic volatility model. The valuation problem is formulated as a first-passage-time problem through a no-arbitrage argument. By employing stochastic analysis and various ana- lytical tools, such as partial differential equation, Laplace and Fourier transforms, we derive a Black-Scholes-Merton type formula for pricing timer options. This work mo- tivates some theoretical study of Bessel processes and Feller diffusions as well as their numerical implementation. In the second part, we analyze the valuation of options on VIX under Gatheral’s double mean-reverting stochastic volatility model, which is able to consistently price options on S&P 500 (the Standard and Poor’s 500 index), VIX and realized variance (also well known as historical variance calculated by the variance of the asset’s daily return). -
Hedging Volatility Risk
Journal of Banking & Finance 30 (2006) 811–821 www.elsevier.com/locate/jbf Hedging volatility risk Menachem Brenner a,*, Ernest Y. Ou b, Jin E. Zhang c a Stern School of Business, New York University, New York, NY 10012, USA b Archeus Capital Management, New York, NY 10017, USA c School of Business and School of Economics and Finance, The University of Hong Kong, Pokfulam Road, Hong Kong Received 11 April 2005; accepted 5 July 2005 Available online 9 December 2005 Abstract Volatility risk plays an important role in the management of portfolios of derivative assets as well as portfolios of basic assets. This risk is currently managed by volatility ‘‘swaps’’ or futures. How- ever, this risk could be managed more efficiently using options on volatility that were proposed in the past but were never introduced mainly due to the lack of a cost efficient tradable underlying asset. The objective of this paper is to introduce a new volatility instrument, an option on a straddle, which can be used to hedge volatility risk. The design and valuation of such an instrument are the basic ingredients of a successful financial product. In order to value these options, we combine the approaches of compound options and stochastic volatility. Our numerical results show that the straddle option is a powerful instrument to hedge volatility risk. An additional benefit of such an innovation is that it will provide a direct estimate of the market price for volatility risk. Ó 2005 Elsevier B.V. All rights reserved. JEL classification: G12; G13 Keywords: Volatility options; Compound options; Stochastic volatility; Risk management; Volatility index * Corresponding author. -
Seeking Income: Cash Flow Distribution Analysis of S&P 500
RESEARCH Income CONTRIBUTORS Berlinda Liu Seeking Income: Cash Flow Director Global Research & Design Distribution Analysis of S&P [email protected] ® Ryan Poirier, FRM 500 Buy-Write Strategies Senior Analyst Global Research & Design EXECUTIVE SUMMARY [email protected] In recent years, income-seeking market participants have shown increased interest in buy-write strategies that exchange upside potential for upfront option premium. Our empirical study investigated popular buy-write benchmarks, as well as other alternative strategies with varied strike selection, option maturity, and underlying equity instruments, and made the following observations in terms of distribution capabilities. Although the CBOE S&P 500 BuyWrite Index (BXM), the leading buy-write benchmark, writes at-the-money (ATM) monthly options, a market participant may be better off selling out-of-the-money (OTM) options and allowing the equity portfolio to grow. Equity growth serves as another source of distribution if the option premium does not meet the distribution target, and it prevents the equity portfolio from being liquidated too quickly due to cash settlement of the expiring options. Given a predetermined distribution goal, a market participant may consider an option based on its premium rather than its moneyness. This alternative approach tends to generate a more steady income stream, thus reducing trading cost. However, just as with the traditional approach that chooses options by moneyness, a high target premium may suffocate equity growth and result in either less income or quick equity depletion. Compared with monthly standard options, selling quarterly options may reduce the loss from the cash settlement of expiring calls, while selling weekly options could incur more loss. -
Implied Volatility Modeling
Implied Volatility Modeling Sarves Verma, Gunhan Mehmet Ertosun, Wei Wang, Benjamin Ambruster, Kay Giesecke I Introduction Although Black-Scholes formula is very popular among market practitioners, when applied to call and put options, it often reduces to a means of quoting options in terms of another parameter, the implied volatility. Further, the function σ BS TK ),(: ⎯⎯→ σ BS TK ),( t t ………………………………(1) is called the implied volatility surface. Two significant features of the surface is worth mentioning”: a) the non-flat profile of the surface which is often called the ‘smile’or the ‘skew’ suggests that the Black-Scholes formula is inefficient to price options b) the level of implied volatilities changes with time thus deforming it continuously. Since, the black- scholes model fails to model volatility, modeling implied volatility has become an active area of research. At present, volatility is modeled in primarily four different ways which are : a) The stochastic volatility model which assumes a stochastic nature of volatility [1]. The problem with this approach often lies in finding the market price of volatility risk which can’t be observed in the market. b) The deterministic volatility function (DVF) which assumes that volatility is a function of time alone and is completely deterministic [2,3]. This fails because as mentioned before the implied volatility surface changes with time continuously and is unpredictable at a given point of time. Ergo, the lattice model [2] & the Dupire approach [3] often fail[4] c) a factor based approach which assumes that implied volatility can be constructed by forming basis vectors. Further, one can use implied volatility as a mean reverting Ornstein-Ulhenbeck process for estimating implied volatility[5]. -
307439 Ferdig Master Thesis
Master's Thesis Using Derivatives And Structured Products To Enhance Investment Performance In A Low-Yielding Environment - COPENHAGEN BUSINESS SCHOOL - MSc Finance And Investments Maria Gjelsvik Berg P˚al-AndreasIversen Supervisor: Søren Plesner Date Of Submission: 28.04.2017 Characters (Ink. Space): 189.349 Pages: 114 ABSTRACT This paper provides an investigation of retail investors' possibility to enhance their investment performance in a low-yielding environment by using derivatives. The current low-yielding financial market makes safe investments in traditional vehicles, such as money market funds and safe bonds, close to zero- or even negative-yielding. Some retail investors are therefore in need of alternative investment vehicles that can enhance their performance. By conducting Monte Carlo simulations and difference in mean testing, we test for enhancement in performance for investors using option strategies, relative to investors investing in the S&P 500 index. This paper contributes to previous papers by emphasizing the downside risk and asymmetry in return distributions to a larger extent. We find several option strategies to outperform the benchmark, implying that performance enhancement is achievable by trading derivatives. The result is however strongly dependent on the investors' ability to choose the right option strategy, both in terms of correctly anticipated market movements and the net premium received or paid to enter the strategy. 1 Contents Chapter 1 - Introduction4 Problem Statement................................6 Methodology...................................7 Limitations....................................7 Literature Review.................................8 Structure..................................... 12 Chapter 2 - Theory 14 Low-Yielding Environment............................ 14 How Are People Affected By A Low-Yield Environment?........ 16 Low-Yield Environment's Impact On The Stock Market........ -
Forward Contracts and Futures a Forward Is an Agreement Between Two Parties to Buy Or Sell an Asset at a Pre-Determined Future Time for a Certain Price
Forward contracts and futures A forward is an agreement between two parties to buy or sell an asset at a pre-determined future time for a certain price. Goal To hedge against the price fluctuation of commodity. • Intension of purchase decided earlier, actual transaction done later. • The forward contract needs to specify the delivery price, amount, quality, delivery date, means of delivery, etc. Potential default of either party: writer or holder. Terminal payoff from forward contract payoff payoff K − ST ST − K K ST ST K long position short position K = delivery price, ST = asset price at maturity Zero-sum game between the writer (short position) and owner (long position). Since it costs nothing to enter into a forward contract, the terminal payoff is the investor’s total gain or loss from the contract. Forward price for a forward contract is defined as the delivery price which make the value of the contract at initiation be zero. Question Does it relate to the expected value of the commodity on the delivery date? Forward price = spot price + cost of fund + storage cost cost of carry Example • Spot price of one ton of wood is $10,000 • 6-month interest income from $10,000 is $400 • storage cost of one ton of wood is $300 6-month forward price of one ton of wood = $10,000 + 400 + $300 = $10,700. Explanation Suppose the forward price deviates too much from $10,700, the construction firm would prefer to buy the wood now and store that for 6 months (though the cost of storage may be higher). -
Calls, Puts and Select Alls
CIMA P3 SECTION D – MANAGING FINANCIAL RISK THE PUTS, THE CALLS AND THE DREADED ‘SELECT ALLs’ Example long form to OT approach Here is my favourite long form question on Interest rate risk management: Assume you are the Treasurer of AB, a large engineering company, and that it is now May 20X4. You have forecast that the company will need to borrow £2 million in September 20X4 for 6 months. The need for finance will arise because the company has extended its credit terms to selected customers over the summer period. The company’s bank currently charges customers such as AB plc 7.5% per annum interest for short-term unsecured borrowing. However, you believe interest rates will rise by at least 1.5 percentage points over the next 6 months. You are considering using one of four alternative methods to hedge the risk: (i) A traded interest rate option (cap only); or (ii) A traded interest rate option (cap and floor); or (iii) Forward rate agreements; or (iv) Interest rate futures; or You can purchase an interest rate cap at 93.00 for the duration of the loan to be guaranteed. You would have to pay a premium of 0.2% of the amount of the loan. For (ii) as part of the arrangement, the company can buy a traded floor at 94.00. Required: Discuss the features of using each of the four alternative methods of hedging the interest rate risk, apply to AB and advise on how each might be useful to AB, taking all relevant and known information into account. -
The Behaviour of Small Investors in the Hong Kong Derivatives Markets
Tai-Yuen Hon / Journal of Risk and Financial Management 5(2012) 59-77 The Behaviour of Small Investors in the Hong Kong Derivatives Markets: A factor analysis Tai-Yuen Hona a Department of Economics and Finance, Hong Kong Shue Yan University ABSTRACT This paper investigates the behaviour of small investors in Hong Kong’s derivatives markets. The study period covers the global economic crisis of 2011- 2012, and we focus on small investors’ behaviour during and after the crisis. We attempt to identify and analyse the key factors that capture their behaviour in derivatives markets in Hong Kong. The data were collected from 524 respondents via a questionnaire survey. Exploratory factor analysis was employed to analyse the data, and some interesting findings were obtained. Our study enhances our understanding of behavioural finance in the setting of an Asian financial centre, namely Hong Kong. KEYWORDS: Behavioural finance, factor analysis, small investors, derivatives markets. 1. INTRODUCTION The global economic crisis has generated tremendous impacts on financial markets and affected many small investors throughout the world. In particular, these investors feared that some European countries, including the PIIGS countries (i.e., Portugal, Ireland, Italy, Greece, and Spain), would encounter great difficulty in meeting their financial obligations and repaying their sovereign debts, and some even believed that these countries would default on their debts either partially or completely. In response to the crisis, they are likely to change their investment behaviour. Corresponding author: Tai-Yuen Hon, Department of Economics and Finance, Hong Kong Shue Yan University, Braemar Hill, North Point, Hong Kong. Tel: (852) 25707110; Fax: (852) 2806 8044 59 Tai-Yuen Hon / Journal of Risk and Financial Management 5(2012) 59-77 Hong Kong is a small open economy. -
Show Me the Money: Option Moneyness Concentration and Future Stock Returns Kelley Bergsma Assistant Professor of Finance Ohio Un
Show Me the Money: Option Moneyness Concentration and Future Stock Returns Kelley Bergsma Assistant Professor of Finance Ohio University Vivien Csapi Assistant Professor of Finance University of Pecs Dean Diavatopoulos* Assistant Professor of Finance Seattle University Andy Fodor Professor of Finance Ohio University Keywords: option moneyness, implied volatility, open interest, stock returns JEL Classifications: G11, G12, G13 *Communications Author Address: Albers School of Business and Economics Department of Finance 901 12th Avenue Seattle, WA 98122 Phone: 206-265-1929 Email: [email protected] Show Me the Money: Option Moneyness Concentration and Future Stock Returns Abstract Informed traders often use options that are not in-the-money because these options offer higher potential gains for a smaller upfront cost. Since leverage is monotonically related to option moneyness (K/S), it follows that a higher concentration of trading in options of certain moneyness levels indicates more informed trading. Using a measure of stock-level dollar volume weighted average moneyness (AveMoney), we find that stock returns increase with AveMoney, suggesting more trading activity in options with higher leverage is a signal for future stock returns. The economic impact of AveMoney is strongest among stocks with high implied volatility, which reflects greater investor uncertainty and thus higher potential rewards for informed option traders. AveMoney also has greater predictive power as open interest increases. Our results hold at the portfolio level as well as cross-sectionally after controlling for liquidity and risk. When AveMoney is calculated with calls, a portfolio long high AveMoney stocks and short low AveMoney stocks yields a Fama-French five-factor alpha of 12% per year for all stocks and 33% per year using stocks with high implied volatility. -
Half-Yearly Financial Report at 30 June 2019
Half-Yearly Financial Report at 30 June 2019 Contents Composition of the Corporate Bodies 3 The first half of 2019 in brief Economic figures and performance indicators 4 Equity figures and performance indicators 5 Accounting statements Balance Sheet 7 Income Statement 9 Statement of comprehensive income 10 Statements of Changes in Shareholders' Equity 11 Statement of Cash Flows 13 Report on Operations Macroeconomic situation 16 Economic results 18 Financial aggregates 22 Business 31 Operating structure 37 Significant events after the end of the half and business outlook 39 Other information 39 Notes to the Financial Statements Part A – Accounting policies 41 Part B – Information on the balance sheet 78 Part C – Information on the income statement 121 Part D – Comprehensive Income 140 Part E – Information on risks and relative hedging policies 143 Part F – Information on capital 155 Part H – Transactions with related parties 166 Part L – Segment reporting 173 Certification of the condensed Half-Yearly Financial Statements pursuant to Article 81-ter of 175 CONSOB Regulation 11971 of 14 May 1999, as amended Composition of the Corporate Bodies Board of Directors Chairperson Massimiliano Cesare Chief Executive Officer Bernardo Mattarella Director Pasquale Ambrogio Director Leonarda Sansone Director Gabriella Forte Board of Statutory Auditors Chairperson Paolo Palombelli Regular Auditor Carlo Ferocino Regular Auditor Marcella Galvani Alternate Auditor Roberto Micolitti Alternate Auditor Sofia Paternostro * * * Auditing Firm PricewaterhouseCoopers -
OPTION-BASED EQUITY STRATEGIES Roberto Obregon
MEKETA INVESTMENT GROUP BOSTON MA CHICAGO IL MIAMI FL PORTLAND OR SAN DIEGO CA LONDON UK OPTION-BASED EQUITY STRATEGIES Roberto Obregon MEKETA INVESTMENT GROUP 100 Lowder Brook Drive, Suite 1100 Westwood, MA 02090 meketagroup.com February 2018 MEKETA INVESTMENT GROUP 100 LOWDER BROOK DRIVE SUITE 1100 WESTWOOD MA 02090 781 471 3500 fax 781 471 3411 www.meketagroup.com MEKETA INVESTMENT GROUP OPTION-BASED EQUITY STRATEGIES ABSTRACT Options are derivatives contracts that provide investors the flexibility of constructing expected payoffs for their investment strategies. Option-based equity strategies incorporate the use of options with long positions in equities to achieve objectives such as drawdown protection and higher income. While the range of strategies available is wide, most strategies can be classified as insurance buying (net long options/volatility) or insurance selling (net short options/volatility). The existence of the Volatility Risk Premium, a market anomaly that causes put options to be overpriced relative to what an efficient pricing model expects, has led to an empirical outperformance of insurance selling strategies relative to insurance buying strategies. This paper explores whether, and to what extent, option-based equity strategies should be considered within the long-only equity investing toolkit, given that equity risk is still the main driver of returns for most of these strategies. It is important to note that while option-based strategies seek to design favorable payoffs, all such strategies involve trade-offs between expected payoffs and cost. BACKGROUND Options are derivatives1 contracts that give the holder the right, but not the obligation, to buy or sell an asset at a given point in time and at a pre-determined price. -
International Harmonization of Reporting for Financial Securities
International Harmonization of Reporting for Financial Securities Authors Dr. Jiri Strouhal Dr. Carmen Bonaci Editor Prof. Nikos Mastorakis Published by WSEAS Press ISBN: 9781-61804-008-4 www.wseas.org International Harmonization of Reporting for Financial Securities Published by WSEAS Press www.wseas.org Copyright © 2011, by WSEAS Press All the copyright of the present book belongs to the World Scientific and Engineering Academy and Society Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy and Society Press. All papers of the present volume were peer reviewed by two independent reviewers. Acceptance was granted when both reviewers' recommendations were positive. See also: http://www.worldses.org/review/index.html ISBN: 9781-61804-008-4 World Scientific and Engineering Academy and Society Preface Dear readers, This publication is devoted to problems of financial reporting for financial instruments. This branch is among academicians and practitioners widely discussed topic. It is mainly caused due to current developments in financial engineering, while accounting standard setters still lag. Moreover measurement based on fair value approach – popular phenomenon of last decades – brings to accounting entities considerable problems. The text is clearly divided into four chapters. The introductory part is devoted to the theoretical background for the measurement and reporting of financial securities and derivative contracts. The second chapter focuses on reporting of equity and debt securities. There are outlined the theoretical bases for the measurement, and accounting treatment for selected portfolios of financial securities.