Is a Financial Instrument Whose Payoff Is Derived from an Asse
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
V. Black-Scholes Model: Derivation and Solution
V. Black-Scholes model: Derivation and solution Beáta Stehlíková Financial derivatives, winter term 2014/2015 Faculty of Mathematics, Physics and Informatics Comenius University, Bratislava V. Black-Scholes model: Derivation and solution – p.1/36 Content Black-Scholes model: • Suppose that stock price follows a geometric ◦ S Brownian motion dS = µSdt + σSdw + other assumptions (in a moment) We derive a partial differential equation for the price of ◦ a derivative Two ways of derivations: • due to Black and Scholes ◦ due to Merton ◦ Explicit solution for European call and put options • V. Black-Scholes model: Derivation and solution – p.2/36 Assumptions Further assumptions (besides GBP): • constant riskless interest rate ◦ r no transaction costs ◦ it is possible to buy/sell any (also fractional) number of ◦ stocks; similarly with the cash no restrictions on short selling ◦ option is of European type ◦ Firstly, let us consider the case of a non-dividend paying • stock V. Black-Scholes model: Derivation and solution – p.3/36 Derivation I. - due to Black and Scholes Notation: • S = stock price, t =time V = V (S, t)= option price Portfolio: 1 option, stocks • δ P = value of the portfolio: P = V + δS Change in the portfolio value: • dP = dV + δdS From the assumptions: From the It¯o • dS = µSdt + σSdw, ∂V ∂V 1 2 2 ∂2V ∂V lemma: dV = ∂t + µS ∂S + 2 σ S ∂S2 dt + σS ∂S dw Therefore: • ∂V ∂V 1 ∂2V dP = + µS + σ2S2 + δµS dt ∂t ∂S 2 ∂S2 ∂V + σS + δσS dw ∂S V. Black-Scholes model: Derivation and solution – p.4/36 Derivation I. -
Variance Reduction with Control Variate for Pricing Asian Options in a Geometric Lévy Model
IAENG International Journal of Applied Mathematics, 41:4, IJAM_41_4_05 ______________________________________________________________________________________ Variance Reduction with Control Variate for Pricing Asian Options in a Geometric Levy´ Model Wissem Boughamoura and Faouzi Trabelsi Abstract—This paper is concerned with Monte Carlo simu- use of the path integral formulation. [19] studied a cer- lation of generalized Asian option prices where the underlying tain one-dimensional, degenerate parabolic partial differential asset is modeled by a geometric (finite-activity) Levy´ process. equation with a boundary condition which arises in pricing A control variate technique is proposed to improve standard Monte Carlo method. Some convergence results for plain Monte of Asian options. [25] considered the approximation of Carlo simulation of generalized Asian options are proven, and a the optimal stopping problem associated with ultradiffusion detailed numerical study is provided showing the performance processes in valuating Asian options. The value function is of the variance reduction compared to straightforward Monte characterized as the solution of an ultraparabolic variational Carlo method. inequality. Index Terms—Levy´ process, Asian options, Minimal-entropy martingale measure, Monte Carlo method, Variance Reduction, For discontinuous markets, [8] generalized Laplace trans- Control variate. form for continuously sampled Asian option where under- lying asset is driven by a Levy´ Process, [18] presented a binomial tree method for Asian options under a particular I. INTRODUCTION jump-diffusion model. But such Market may be incomplete. He pricing of Asian options is a delicate and interesting Therefore, it will be a big class of equivalent martingale T topic in quantitative finance, and has been a topic of measures (EMMs). For the choice of suitable one, many attention for many years now. -
Pricing and Hedging of Lookback Options in Hyper-Exponential Jump Diffusion Models
Pricing and hedging of lookback options in hyper-exponential jump diffusion models Markus Hofer∗ Philipp Mayer y Abstract In this article we consider the problem of pricing lookback options in certain exponential Lévy market models. While in the classic Black-Scholes models the price of such options can be calculated in closed form, for more general asset price model one typically has to rely on (rather time-intense) Monte- Carlo or P(I)DE methods. However, for Lévy processes with double exponentially distributed jumps the lookback option price can be expressed as one-dimensional Laplace transform (cf. Kou [Kou et al., 2005]). The key ingredient to derive this representation is the explicit availability of the first passage time distribution for this particular Lévy process, which is well-known also for the more general class of hyper-exponential jump diffusions (HEJD). In fact, Jeannin and Pistorius [Jeannin and Pistorius, 2010] were able to derive formulae for the Laplace transformed price of certain barrier options in market models described by HEJD processes. Here, we similarly derive the Laplace transforms of floating and fixed strike lookback option prices and propose a numerical inversion scheme, which allows, like Fourier inversion methods for European vanilla options, the calculation of lookback options with different strikes in one shot. Additionally, we give semi-analytical formulae for several Greeks of the option price and discuss a method of extending the proposed method to generalised hyper- exponential (as e.g. NIG or CGMY) models by fitting a suitable HEJD process. Finally, we illustrate the theoretical findings by some numerical experiments. -
Computation of Binomial Option Pricing Model with Parallel
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by KHALSA PUBLICATIONS I S S N 2 2 7 8 - 5 6 1 2 Volume 11 Number 5 International Journal of Management and Information T e c h n o l o g y Computation Of Binomial Option Pricing Model With Parallel Processing On A Linux Cluster Harya Widiputra Faculty of Information Technology, Perbanas Institute Jakarta, Indonesia [email protected] ABSTRACT Binary Option Pricing Model (BOPM) is one approach that can be utilized to calculate the value of either call or put option. BOPM generally works by building a binomial tree diagram, also known as lattice diagram to explore all possible option values that occur based on the intrinsic price of the underlying asset in a range of specific time period. Due to its basic characteristics BOPM is renowned for its longer lead times in calculating option values while also acknowledged as a technique that can provide an assessment of the most fair option value. Therefore, this study aims to shorten the BOPM completion time of calculating the value of an option by building a computer cluster and presently implement the BOPM algorithm into a form that can be run in parallel processing. As an outcome, a Linux-based computer cluster has been built and conversion of BOPM algorithm so that it can be executed in parallel has been performed and also implemented using Python in this research. Conclusively, results of conducted experiments confirm that the implementation of BOPM algorithm in a form that can be executed in parallel and its application on a computer cluster was able to limit the growth of the completion time whilst at the same time maintain quality of calculated option values. -
Unified Pricing of Asian Options
Unified Pricing of Asian Options Jan Veˇceˇr∗ ([email protected]) Assistant Professor of Mathematical Finance, Department of Statistics, Columbia University. Visiting Associate Professor, Institute of Economic Research, Kyoto University, Japan. First version: August 31, 2000 This version: April 25, 2002 Abstract. A simple and numerically stable 2-term partial differential equation characterizing the price of any type of arithmetically averaged Asian option is given. The approach includes both continuously and discretely sampled options and it is easily extended to handle continuous or dis- crete dividend yields. In contrast to present methods, this approach does not require to implement jump conditions for sampling or dividend days. Asian options are securities with payoff which depends on the average of the underlying stock price over certain time interval. Since no general analytical solution for the price of the Asian option is known, a variety of techniques have been developed to analyze arithmetic average Asian options. There is enormous literature devoted to study of this option. A number of approxima- tions that produce closed form expressions have appeared, most recently in Thompson (1999), who provides tight analytical bounds for the Asian option price. Geman and Yor (1993) computed the Laplace transform of the price of continuously sampled Asian option, but numerical inversion remains problematic for low volatility and/or short maturity cases as shown by Fu, Madan and Wang (1998). Very recently, Linetsky (2002) has derived new integral formula for the price of con- tinuously sampled Asian option, which is again slowly convergent for low volatility cases. Monte Carlo simulation works well, but it can be computationally expensive without the enhancement of variance reduction techniques and one must account for the inherent discretization bias result- ing from the approximation of continuous time processes through discrete sampling as shown by Broadie, Glasserman and Kou (1999). -
Opposition, CFTC V. Banc De Binary
Case 2:13-cv-00992-MMD-VCF Document 37 Filed 08/08/13 Page 1 of 30 Kathleen Banar, Chief Trial Attorney (IL Bar No. 6200597) David Slovick, Senior Trial Attorney (IL Bar No. 6257290) Margaret Aisenbrey, Trial Attorney (Mo Bar No. 59560) U.S. Commodity Futures Trading Commission 1155 21 St. NW Washington, DC 20581 [email protected], [email protected], [email protected] (202) 418-5335 (202) 418-5987 (facsimile) Blaine T. Welsh (NV Bar No. 4790) Assistant United States Attorney United States Attorney’s Office 333 Las Vegas Boulevard, Suite 5000 Las Vegas, Nevada 89101 [email protected] (702) 388-6336 (702) 388-6787 (facsimile) UNITED STATES DISTRICT COURT DISTRICT OF NEVADA ) U.S. COMMODITY FUTURES TRADING ) COMMISSION, ) ) Case No. 2:13-cv-00992-MMD-VCF Plaintiff, ) ) PLAINTIFF’S OPPOSITION TO v. ) DEFENDANT’S MOTION TO ) DISMISS COUNTS ONE, THREE ) AND FOUR OF THE COMPLAINT BANC DE BINARY LTD. (A/K/A E.T. ) BINARY OPTIONS LTD.), ) ) Defendant. ) ) 1 Case 2:13-cv-00992-MMD-VCF Document 37 Filed 08/08/13 Page 2 of 30 The United States Commodity Futures Trading Commission (“CFTC” or “Commission”) opposes Banc de Binary’s Motion to Dismiss Counts I, III and IV of the Complaint (“Defendant’s Motion”),1 and states as follows: I. SUMMARY Since at least May 2012 Banc de Binary Ltd. (A/K/A E.T. Binary Options) (“Banc de Binary” or “Defendant”) has been violating the CFTC’s long-standing ban on trading options contracts with persons located in the United States off of a contract market designated by the CFTC for that purpose (i.e., “off-exchange”). -
A Discrete-Time Approach to Evaluate Path-Dependent Derivatives in a Regime-Switching Risk Model
risks Article A Discrete-Time Approach to Evaluate Path-Dependent Derivatives in a Regime-Switching Risk Model Emilio Russo Department of Economics, Statistics and Finance, University of Calabria, Ponte Bucci cubo 1C, 87036 Rende (CS), Italy; [email protected] Received: 29 November 2019; Accepted: 25 January 2020 ; Published: 29 January 2020 Abstract: This paper provides a discrete-time approach for evaluating financial and actuarial products characterized by path-dependent features in a regime-switching risk model. In each regime, a binomial discretization of the asset value is obtained by modifying the parameters used to generate the lattice in the highest-volatility regime, thus allowing a simultaneous asset description in all the regimes. The path-dependent feature is treated by computing representative values of the path-dependent function on a fixed number of effective trajectories reaching each lattice node. The prices of the analyzed products are calculated as the expected values of their payoffs registered over the lattice branches, invoking a quadratic interpolation technique if the regime changes, and capturing the switches among regimes by using a transition probability matrix. Some numerical applications are provided to support the model, which is also useful to accurately capture the market risk concerning path-dependent financial and actuarial instruments. Keywords: regime-switching risk; market risk; path-dependent derivatives; insurance policies; binomial lattices; discrete-time models 1. Introduction With the aim of providing an accurate evaluation of the risks affecting financial markets, a wide range of empirical research evidences that asset returns show stochastic volatility patterns and fatter tails with respect to the standard normal model. -
Pricing and Hedging of Asian Option Under Jumps
IAENG International Journal of Applied Mathematics, 41:4, IJAM_41_4_04 ______________________________________________________________________________________ Pricing And Hedging of Asian Option Under Jumps Wissem Boughamoura, Anand N. Pandey and Faouzi Trabelsi Abstract—In this paper we study the pricing and hedging To price Asian options in such setting, [12] presents gener- problems of ”generalized” Asian options in a jump-diffusion alized Laplace transform for continuously sampled Asian op- model. We choose the minimal entropy martingale measure tion where underlying asset is driven by a Levy´ Process, [29] (MEMM) as equivalent martingale measure and we derive a partial-integro differential equation for their price. We discuss proposes a binomial tree method under a particular jump- the minimal variance hedging including the optimal hedging diffusion model. For the case of semimartingale models, [36] ratio and the optimal initial endowment. When the Asian payoff shows that the pricing function is satisfying a partial-integro is bounded, we show that for the exponential utility function, differential equation. For the precise numerical computation the utility indifference price goes to the Asian option price of the PIDE using difference schemes we refer interested evaluated under the MEMM as the Arrow-Pratt measure of absolute risk-aversion goes to zero. readers to explore with [11]. In [3] is derived the range of price for Asian option when underlying stock price is Index Terms—Geometric Levy´ process, Generalized Asian following geometric Brownian motion and jump (Poisson). In options, Minimal entropy martingale measure, Partial-integro differential equation, Utility indifference pricing, Exponential [30] is derived bounds for the price of a discretely monitored utility function. -
What Are Binary Options?
PA R T I Introduction to Binary Options his section will provide you with an overview and discussion of the T main benefi ts of binary option trading. What You Will Learn: • What are binary options? • How do binary options differ from traditional options? • Which underlying instruments are binary options available to trade on? • Where can youhttp://www.pbookshop.com trade binary options? • What are the benefi ts of trading binary options? • What makes binary options unique compared to other instruments and options? COPYRIGHTED MATERIAL When you complete this section you should have a basic understand- ing of what binary options are and be familiar with their main advantages. 1 c01.indd 1 11/8/2012 4:12:44 PM http://www.pbookshop.com c01.indd 2 11/8/2012 4:12:44 PM CH A P T E R 1 What Are Binary Options? inary options are also known as digital options or all‐or‐nothing options. They are derivative instruments that can be considered a B yes‐or‐no proposition—either the event happens or it does not. Binary options are considered binary because there are only two po- tential outcomes at expiration: 0 or 100; 0 and 100 refer to the settlement value of a binary option and could be viewed in dollars. At expiration, if you are incorrect, you do not make anything ($0), and if you are correct, you make up to $100. The next section will go into further detail on the set- tlement value of binary options. ON WHAT ASSEThttp://www.pbookshop.com CLASSES ARE BINARY OPTIONS AVAILABLE? Binary options are available on four different asset classes. -
On the Equivalence of Floating and Fixed-Strike Asian Options
Applied Probability Trust (5 September 2001) ON THE EQUIVALENCE OF FLOATING AND FIXED-STRIKE ASIAN OPTIONS VICKY HENDERSON,∗ University of Oxford RAFALWOJAKOWSKI, ∗∗ Lancaster University Abstract There are two types of Asian options in the financial markets which differ according to the role of the average price. We give a symmetry result between the floating and fixed-strike Asian options. The proof involves a change of num´eraireand time reversal of Brownian motion. Symmetries are very useful in option valuation and in this case, the result allows the use of more established fixed-strike pricing methods to price floating-strike Asian options. Keywords: Asian options, floating strike Asian options, put call symmetry, change of num´eraire,time reversal, Brownian motion AMS 2000 Subject Classification: Primary 60G44 Secondary 91B28 1. Introduction The purpose of this paper is to establish a useful symmetry result between floating and fixed-strike Asian options. A change of probability measure or num´eraireand a time reversal argument are used to prove the result for models where the underlying asset follows exponential Brownian motion. There are many known symmetry results in financial option pricing. Such results are useful for transferring knowledge about one type of option to another and may be used to simplify coding of one type of option when the other is already coded. However, one must take care as the transformed option may not exist in the market or have a sensible economic interpretation. These tricks become very useful for exotic options, when perhaps no closed form solution exists, but an equivalence relation holds, together with an accurate compu- tational procedure for the related class. -
How to Trade Binary Options Successfully
How to Trade Binary Options Successfully A Complete Guide to Binary Options Trading By Meir Liraz ___________________________________________________________________ Revealed At Last! The Best Kept Secret Among Successful Binary Options and Forex Traders The Easiest Way to Make Money Trading Online ___________________________________________________________________ Published by BizMove Binary Options Trading Center Copyright © Meir Liraz. All Rights Reserved. Our Preferred Binary Options Broker We currently trade at this broker. After testing several Binary Options and Forex platforms we find this one to be the best. What made the difference is a unique feature that allow us to watch and copy the strategies and trades of the best performing traders on the platform. You can actually see each move the "Guru" traders make. This method works nicely for us. Since we started trading at this broker we noticed an increase of our successful trades and profits when compared to our former brokers. Having said that, please note that all trading involves risk. Only risk capital you're prepared to lose. Past performance does not guarantee future results. This post is for educational purposes and should not be considered as investment advice. Table of Contents 1. The Single Most Critical Factor to Binary Options Trading Success 2. What are Binary Options 3. The Flow of Decisions in a Binary Options Trade 4. Advantages and Disadvantages of Binary Options Trading 5. Binary Trading Risk Management 6. What You Need to Succeed in Binary Options 7. How Much Money You Need to Start Trading 8. Technical Analysis As a Tool for Binary Trading Success 9. Developing a Binary Options Strategy and Entry Signals 10. -
On Black-Scholes Equation, Black- Scholes Formula and Binary Option Price
On Black-Scholes Equation, Black- Scholes Formula and Binary Option Price Chi Gao 12/15/2013 Abstract: I. Black-Scholes Equation is derived using two methods: (1) risk-neutral measure; (2) - hedge. II. The Black-Scholes Formula (the price of European call option is calculated) is calculated using two methods: (1) risk-neutral pricing formula (expected discounted payoff) (2) directly solving the Black-Scholes equation with boundary conditions III. The two methods in II are proved to be essentially equivalent. The Black-Scholes formula for European call option is tested to be the solution of Black-Scholes equation. IV. The value of digital options and share digitals are calculated. The European call and put options are be replicated by digital options and share digitals, thus the prices of call and put options can be derived from the values of digitals. The put-call parity relation is given. 1. The derivation(s) of Black-Scholes Equation Black Scholes model has several assumptions: 1. Constant risk-free interest rate: r 2. Constant drift and volatility of stock price: 3. The stock doesn’t pay dividend 4. No arbitrage 5. No transaction fee or cost 6. Possible to borrow and lend any amount (even fractional) of cash at the riskless rate 7. Possible to buy and sell any amount (even fractional) of stock A typical way to derive the Black-Scholes equation is to claim that under the measure that no arbitrage is allowed (risk-neutral measure), the drift of stock price equal to the risk-free interest rate . That is (usually under risk-neutral measure, we write Brownian motion as , here we remove Q subscript for convenience ) (1) Then apply Ito’s lemma to the discounted price of derivatives , we get [ ] [( ) ] (2) Still, under risk-neutral measure we can argue that is martingale.