Chapter 3: Derivatives

Total Page:16

File Type:pdf, Size:1020Kb

Chapter 3: Derivatives Chapter 3: Derivatives Overview of Derivatives A derivative is a financial claim whose value is derived from the value of the underlying contract. A gold futures contract is a derivative that depends on the underlying value of gold while an option on a Eurodollar Futures contract depends on the value of the underlying Eurodollar Futures contract. Derivatives are also referred to as contingent claims . Derivatives range from a simple forward contract to highly complex options that depend on the price history of the underlying asset. Derivatives can be purchased on exchanges or custom-tailored to the parties needs as OTC transactions. Derivatives exist to enable market participants to transfer risk, to take a position or to exploit mis-pricings in a market. Market participants that wish to transfer risk are called hedgers . Those participants taking a view in the market are called speculators . A third category, arbitrageurs , exploits profit opportunities that may arise from a variety of reasons. Derivatives play a vital and crucial role in capital markets. In the following, we will define and value derivatives including forwards, futures, swaps and options. As long as you can find a willing counterparty, it seems that you can get a derivative on almost any underlying contract. As of 2000, the list of futures and options authorized by the Commodity Futures Trading Commission (CFTC) included a bankruptcy index; catastrophe, health and homeowners insurance derivatives; wood and fertilizer futures. There are futures on degree-days in Atlanta as well as on gas and electricity. Credit derivatives are becoming increasingly important, accounting for almost $700 billion by mid-2001, according to the Bank for International Settlements (BIS). Although modeling and pricing derivatives is important, it is equally important to understand and be able to manage the inherent risk. Sometimes, the unexpected does happen and catastrophic losses can occur. Forward Contracts Overview The forward contract is the most basic form of derivative. It is an agreement between two parties (the counterparties ) to make a trade at some future date. One party is S, the seller who agrees to deliver the underlying. The other party is B, the buyer, who agrees to take delivery of the underlying. The seller is also called “short” the contract and the buyer is “long” the contract. The agreement is binding on both parties since a contract is drawn up and executed upon entering the contract. Forward contracts are traded over the counter. The counterparties determine the nature and quality of the asset to be delivered, when delivery will take place ( the expiration date of the forward ), where delivery will take place, how pricing will be carried out and so forth. The OTC contract is custom-tailored to meet the needs of the counterparties. Forward contracts enable market participants such as farmers to hedge their price risk. If a farmer has corn in the ground in May that he anticipates selling next July, he may worry that the price will fall before he can get the corn to the market. To hedge away this undesirable price risk, he can arrange to lock in a forward price today. The forward price he locks in may or may not be the price that actually prevails in July, but he has locked in a guaranteed price. On the other hand, the counterparty is speculating that the ultimate price for corn in July will be higher than the contracted price. The counterparty does not own the asset and so is not subject to the same price risk as the farmer. The forward contract establishes a shifting of price risk from the farmer, who does not wish to bear it, to the speculator, who does wish to take this risk on. Entering a forward contract can help the farmer eliminate the unknown but will not guarantee a profit. Since a forward contract is essentially a private transaction between two individuals, the creditworthiness of each party is a big factor. A forward transaction is a zero-sum game: one party’s loss is the other’s gain, so if the losing party decides to default on the contract, the other party is subject to loss. Usually, the contracts are non-transferable which greatly reduces liquidity. No money changes hands at contract initiation. The payoff occurs only at expiration. An example of such a contract is when I sell an item on Ebay.com. If someone bids on the item, assuming they have met all of the conditions I have set (such as my reserve price and so on), I am bound to deliver the item at the end of the auction and they are bound to pay for it at the ending price. The “contract” specifies what will be delivered, where it will be delivered and how delivery is to take place in addition to Page 1 how payment should be made. In a way, we are agreeing on a forward price for my item. If the buyer defaults, I have some recourse through ebay and if I default by refusing to deliver the item, the buyer can get recourse through Ebay.com. The items are unique so that if I change my mind, the buyer can’t go to another seller to get the identical item at the identical price, and if the buyer changes his mind, I can’t easily transfer his contract to another. (I could contact the next bidder on the list, but probably wouldn’t get as high a price.) Additionally, an analogy of short selling is if I decide to sell books on Amazon.com. Suppose that I notice that a particular Adobe Photoshop book is selling on the site for $31. I decide to offer one for sale at $29 even though I don’t own the book, because coincidentally, I saw street vendors selling the books for $20 in Chinatown recently. If I sell the book, I plan to get one from the vendor to deliver. I think that this is a smart strategy since the vendor has to hold the inventory and I get cash first to purchase the asset. This is a great idea in theory, but in practice, what if the vendors are not there that day, raise their prices or are out of the book? I still have to deliver and will have to go to a bookstore to purchase it, possibly just breaking even or even suffering a loss. Forwards are traded on a diverse array of underlying assets including: financial assets such as stocks, stock indices, interest rates and currencies; on grains and oils including coconut oil, corn and soybeans ; on commodities such as live hogs, sugar, coffee and orange juice; natural resources such as heating oil, gasoline, coal and crude oil; and metals including gold, platinum, copper and US silver coins. We will find that futures have much in common with forwards, but they also have very important differences. Valuing Forward Contracts Suppose the spot price of corn today is $1.82 per bushel and a farmer can lock in a July price of $2.05 per bushel. If he enters into the contract he is guaranteed a price of $2.05 per bushel when he harvests his corn in July, no matter what. The contract size for corn is 5,000 bushels. If the July price turns out to be $2.50 per bushel, the farmer will be disappointed because he could have received $2.50 per bushel but he has agreed to accept $2.05. Locking into this forward price causes him to lose out on the potential excess profit over the forward price of $(2.50 – 2.05)*5,000 = $2,250. But he will have the $2.05*5,000 = $10,250 realized from the sale of his corn. (This is what is meant by the statement that forward contracts don’t guarantee a profit, they just guarantee a price.) On the other hand, what if corn prices fall to $1.70/bushel by July? The farmer gets a bad price for his corn, $1.70*5,000 = $8,500 but has a gain from his forward position of $(2.05-1.7)*5,000 =1,750. Total value of his portfolio of corn and forward contract is $10,250. Either way, he has received a net per-bushel price of $2.05, as guaranteed by the forward contract. Is there a linkage between the forward price to the spot price? The market participant will want to understand this relationship this so he can decide whether to enter into a forward contract. Because the forward contract is derived from an underlying asset, it can be priced by appealing to the no- arbitrage agreement. We classify our underlying assets as those that can be stored, those that cannot be stored and those that make cash payments such as coupons and dividend payments. Define spot price as the current price of the underlying. What is the relationship of the forward price to the underlying spot price? Defining t = time 0 ≤ t ≤ T T = expiration or maturity date of contract St = spot price of underlying at time t Ft,T = forward price at time t for maturity T r = risk-free interest rate We can use no-arbitrage arguments to form a relationship between S t and F t,T . Suppose that an arbitrageur (Gustavo) can take either side of the contract. He can borrow and lend money at the risk-free rate r and has no transactions costs (he is a large investment bank, for example.) The spot price of the asset today is S t. His counterparty (a grain elevator, say) quotes a forward price F t,T .
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.
    [Show full text]
  • Martingale Methods in Financial Modelling
    Marek Musiela Marek Rutkowski Martingale Methods in Financial Modelling Second Edition Springer Table of Contents Preface to the First Edition V Preface to the Second Edition VII Part I. Spot and Futures Markets 1. An Introduction to Financial Derivatives 3 1.1 Options 3 1.2 Futures Contracts and Options 6 1.3 Forward Contracts 7 1.4 Call and Put Spot Options 8 1.4.1 One-period Spot Market 10 1.4.2 Replicating Portfolios 11 1.4.3 Maxtingale Measure for a Spot Market 12 1.4.4 Absence of Arbitrage 14 1.4.5 Optimality of Replication 15 1.4.6 Put Option 18 1.5 Futures Call and Put Options 19 1.5.1 Futures Contracts and Futures Prices 20 1.5.2 One-period Futures Market 20 1.5.3 Maxtingale Measure for a Futures Market 22 1.5.4 Absence of Arbitrage 22 1.5.5 One-period Spot/Futures Market 24 1.6 Forward Contracts 25 1.6.1 Forward Price 25 1.7 Options of American Style 27 1.8 Universal No-arbitrage Inequalities 32 2. Discrete-time Security Markets 35 2.1 The Cox-Ross-Rubinstein Model 36 2.1.1 Binomial Lattice for the Stock Price 36 2.1.2 Recursive Pricing Procedure 38 2.1.3 CRR Option Pricing Formula 43 X Table of Contents 2.2 Martingale Properties of the CRR Model 46 2.2.1 Martingale Measures 47 2.2.2 Risk-neutral Valuation Formula 50 2.3 The Black-Scholes Option Pricing Formula 51 2.4 Valuation of American Options 56 2.4.1 American Call Options 56 2.4.2 American Put Options 58 2.4.3 American Claim 60 2.5 Options on a Dividend-paying Stock 61 2.6 Finite Spot Markets 63 2.6.1 Self-financing Trading Strategies 63 2.6.2 Arbitrage Opportunities 65 2.6.3 Arbitrage Price 66 2.6.4 Risk-neutral Valuation Formula 67 2.6.5 Price Systems 70 2.6.6 Completeness of a Finite Market 73 2.6.7 Change of a Numeraire 74 2.7 Finite Futures Markets 75 2.7.1 Self-financing Futures Strategies 75 2.7.2 Martingale Measures for a Futures Market 77 2.7.3 Risk-neutral Valuation Formula 79 2.8 Futures Prices Versus Forward Prices 79 2.9 Discrete-time Models with Infinite State Space 82 3.
    [Show full text]
  • Margin Requirements Across Equity-Related Instruments: How Level Is the Playing Field?
    Fortune pgs 31-50 1/6/04 8:21 PM Page 31 Margin Requirements Across Equity-Related Instruments: How Level Is the Playing Field? hen interest rates rose sharply in 1994, a number of derivatives- related failures occurred, prominent among them the bankrupt- cy of Orange County, California, which had invested heavily in W 1 structured notes called “inverse floaters.” These events led to vigorous public discussion about the links between derivative securities and finan- cial stability, as well as about the potential role of new regulation. In an effort to clarify the issues, the Federal Reserve Bank of Boston sponsored an educational forum in which the risks and risk management of deriva- tive securities were discussed by a range of interested parties: academics; lawmakers and regulators; experts from nonfinancial corporations, investment and commercial banks, and pension funds; and issuers of securities. The Bank published a summary of the presentations in Minehan and Simons (1995). In the keynote address, Harvard Business School Professor Jay Light noted that there are at least 11 ways that investors can participate in the returns on the Standard and Poor’s 500 composite index (see Box 1). Professor Light pointed out that these alternatives exist because they dif- Peter Fortune fer in a variety of important respects: Some carry higher transaction costs; others might have higher margin requirements; still others might differ in tax treatment or in regulatory restraints. The author is Senior Economist and The purpose of the present study is to assess one dimension of those Advisor to the Director of Research at differences—margin requirements.
    [Show full text]
  • 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.
    [Show full text]
  • An Empirical Investigation of the Black- Scholes Call
    International Journal of BRIC Business Research (IJBBR) Volume 6, Number 2, May 2017 AN EMPIRICAL INVESTIGATION OF THE BLACK - SCHOLES CALL OPTION PRICING MODEL WITH REFERENCE TO NSE Rajesh Kumar 1 and Rachna Agrawal 2 1Research Scholar, Department of Management Studies 2Associate Professor, Department of Management Studies YMCA University of Science and Technology, Faridabad, Haryana, India ABSTRACT This paper investigates the efficiency of Black-Scholes model used for valuation of call option contracts written on Eight Indian stocks quoted on NSE. It has been generally observed that the B & S Model misprices options considerably on several occasions and the volatilities are ‘high for options which are highly overpriced. Mispriced worsen with the increased in volatility of the underlying stocks. In most of cases options are also highly underpriced by the model. In this research paper, the theoretical options prices of Nifty stock call options are calculated under the B & S Model. These theoretical prices are compared with the actual quoted prices in the market to gauge the pricing accuracy. KEYWORDS Black-Scholes Model, standard deviation, Mean Error, Root Mean Squared Error, Thiel’s Inequality coefficient etc. 1. INTRODUCTION An effective security market provides three principal opportunities- trading equities, debt securities and derivative products. For the purpose of risk management and trading, the pricing theories of stock options have occupied important place in derivative market. These theories range from relatively undemanding binomial model to more complex B & S Model (1973). The Black-Scholes option pricing model is a landmark in the history of Derivative. This preferred model provides a closed analytical view for the valuation of European style options.
    [Show full text]
  • Introduction to Black's Model for Interest Rate
    INTRODUCTION TO BLACK'S MODEL FOR INTEREST RATE DERIVATIVES GRAEME WEST AND LYDIA WEST, FINANCIAL MODELLING AGENCY© Contents 1. Introduction 2 2. European Bond Options2 2.1. Different volatility measures3 3. Caplets and Floorlets3 4. Caps and Floors4 4.1. A call/put on rates is a put/call on a bond4 4.2. Greeks 5 5. Stripping Black caps into caplets7 6. Swaptions 10 6.1. Valuation 11 6.2. Greeks 12 7. Why Black is useless for exotics 13 8. Exercises 13 Date: July 11, 2011. 1 2 GRAEME WEST AND LYDIA WEST, FINANCIAL MODELLING AGENCY© Bibliography 15 1. Introduction We consider the Black Model for futures/forwards which is the market standard for quoting prices (via implied volatilities). Black[1976] considered the problem of writing options on commodity futures and this was the first \natural" extension of the Black-Scholes model. This model also is used to price options on interest rates and interest rate sensitive instruments such as bonds. Since the Black-Scholes analysis assumes constant (or deterministic) interest rates, and so forward interest rates are realised, it is difficult initially to see how this model applies to interest rate dependent derivatives. However, if f is a forward interest rate, it can be shown that it is consistent to assume that • The discounting process can be taken to be the existing yield curve. • The forward rates are stochastic and log-normally distributed. The forward rates will be log-normally distributed in what is called the T -forward measure, where T is the pay date of the option.
    [Show full text]
  • 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”).
    [Show full text]
  • Annual Accounts and Report
    Annual Accounts and Report as at 30 June 2018 WorldReginfo - 5b649ee5-9497-487a-9fdb-e60cdfc3179f LIMITED COMPANY SHARE CAPITAL € 443,521,470 HEAD OFFICE: PIAZZETTA ENRICO CUCCIA 1, MILAN, ITALY REGISTERED AS A BANK. PARENT COMPANY OF THE MEDIOBANCA BANKING GROUP. REGISTERED AS A BANKING GROUP Annual General Meeting 27 October 2018 WorldReginfo - 5b649ee5-9497-487a-9fdb-e60cdfc3179f www.mediobanca.com translation from the Italian original which remains the definitive version WorldReginfo - 5b649ee5-9497-487a-9fdb-e60cdfc3179f BOARD OF DIRECTORS Term expires Renato Pagliaro Chairman 2020 * Maurizia Angelo Comneno Deputy Chairman 2020 Alberto Pecci Deputy Chairman 2020 * Alberto Nagel Chief Executive Officer 2020 * Francesco Saverio Vinci General Manager 2020 Marie Bolloré Director 2020 Maurizio Carfagna Director 2020 Maurizio Costa Director 2020 Angela Gamba Director 2020 Valérie Hortefeux Director 2020 Maximo Ibarra Director 2020 Alberto Lupoi Director 2020 Elisabetta Magistretti Director 2020 Vittorio Pignatti Morano Director 2020 * Gabriele Villa Director 2020 * Member of Executive Committee STATUTORY AUDIT COMMITTEE Natale Freddi Chairman 2020 Francesco Di Carlo Standing Auditor 2020 Laura Gualtieri Standing Auditor 2020 Alessandro Trotter Alternate Auditor 2020 Barbara Negri Alternate Auditor 2020 Stefano Sarubbi Alternate Auditor 2020 * * * Massimo Bertolini Secretary to the Board of Directors www.mediobanca.com translation from the Italian original which remains the definitive version WorldReginfo - 5b649ee5-9497-487a-9fdb-e60cdfc3179f
    [Show full text]
  • Black-Scholes Equations
    Chapter 8 Black-Scholes Equations 1 The Black-Scholes Model Up to now, we only consider hedgings that are done upfront. For example, if we write a naked call (see Example 5.2), we are exposed to unlimited risk if the stock price rises steeply. We can hedge it by buying a share of the underlying asset. This is done at the initial time when the call is sold. We are then protected against any steep rise in the asset price. However, if we hold the asset until expiry, we are not protected against any steep dive in the asset price. So is there a hedging that is really riskless? The answer was given by Black and Scholes, and also by Merton in their seminal papers on the theory of option pricing published in 1973. The idea is that a writer of a naked call can protect his short position of the option by buying a certain amount of the stock so that the loss in the short call can be exactly offset by the long position in the stock. This is standard in hedging. The question is how many stocks should he buy to minimize the risk? By adjusting the proportion of the stock and option continuously in the portfolio during the life of the option, Black and Scholes demonstrated that investors can create a riskless hedging portfolio where all market risks are eliminated. In an efficient market with no riskless arbitrage opportunity, any portfolio with a zero market risk must have an expected rate of return equal to the riskless interest rate.
    [Show full text]
  • Option Pricing: a Review
    Option Pricing: A Review Rangarajan K. Sundaram Introduction Option Pricing: A Review Pricing Options by Replication The Option Rangarajan K. Sundaram Delta Option Pricing Stern School of Business using Risk-Neutral New York University Probabilities The Invesco Great Wall Fund Management Co. Black-Scholes Model Shenzhen: June 14, 2008 Implied Volatility Outline Option Pricing: A Review Rangarajan K. 1 Introduction Sundaram Introduction 2 Pricing Options by Replication Pricing Options by Replication 3 The Option Delta The Option Delta Option Pricing 4 Option Pricing using Risk-Neutral Probabilities using Risk-Neutral Probabilities The 5 The Black-Scholes Model Black-Scholes Model Implied 6 Implied Volatility Volatility Introduction Option Pricing: A Review Rangarajan K. Sundaram These notes review the principles underlying option pricing and Introduction some of the key concepts. Pricing Options by One objective is to highlight the factors that affect option Replication prices, and to see how and why they matter. The Option Delta We also discuss important concepts such as the option delta Option Pricing and its properties, implied volatility and the volatility skew. using Risk-Neutral Probabilities For the most part, we focus on the Black-Scholes model, but as The motivation and illustration, we also briefly examine the binomial Black-Scholes Model model. Implied Volatility Outline of Presentation Option Pricing: A Review Rangarajan K. Sundaram The material that follows is divided into six (unequal) parts: Introduction Pricing Options: Definitions, importance of volatility. Options by Replication Pricing of options by replication: Main ideas, a binomial The Option example. Delta The option delta: Definition, importance, behavior. Option Pricing Pricing of options using risk-neutral probabilities.
    [Show full text]
  • Oil and Gas Futures and Options Market UDC: 550.8:552.1 DOI: 10.17794/Rgn.2017.4.5
    45 The Mining-Geology-Petroleum Engineering Bulletin Oil and Gas Futures and Options Market UDC: 550.8:552.1 DOI: 10.17794/rgn.2017.4.5 Review scientiƤ c paper Ante Nosi©1; Daria Karasalihovi© Sedlar2; Lucija Juki©3 1 INA Industrija nafte d.d., V.Holjevca 10, 10 000 Zagreb, Master of Pet. Eng. 2 University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, Pierottijeva 6, 10 000 Zagreb, DSc, Associate Professor 3 University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, Pierottijeva 6, 10 000 Zagreb, Master of Pet. Eng, Assistant Abstract Energy mineral resource markets are represented by complex supply and demand ratios which are depending on diơ er- ent factors such as technical (transport) and geopolitical. The main characteristicof energy markets is represented by an uneven geographic distribution of hydrocarbon reserves and production on one hand, and energy consumption on the other. World oil markets, although geographically localized, because of speciƤ c market trade, represent a unique global market with a decreasing price diơ erence. Price diơ erences are the result of the development of transport possibilities of oil supply. The development of transport routes of natural gas and an increasing number of liqueƤ ed natural gas termi- nals in the world give pressure to the natural gas market and its integration into the global gas market. The integration of regional gas markets into a common European gas market is the main energy policy of EU concerning natural gas. On the other hand, there are still signiƤ cant price diơ erences on some markets (e.g.
    [Show full text]
  • “Hedging with a Stock Option”
    IOSR Journal of Business and Management (IOSR-JBM) e-ISSN: 2278-487X, p-ISSN: 2319-7668. Volume 17, Issue 9.Ver. I (Sep. 2015), PP 06-11 www.iosrjournals.org “Hedging With a Stock Option” Afzal Ahmad Assistant Professor of Accounting International Islamic University Chittagong Chittagong Abstract: The aim of this paper is to provide a discussion of the use of stock options in risk management and how they can be used for hedging purposes. This aim is achieved by reviewing the literature and analysing practical hedging examples in the context of an investment company. The results of the discussion show that stock options can be employed by companies as a protection against the downside risk when volatility in the market is high. They can also be used during the periods of low volatility to achieve a specific expected payoff within a band of stock prices. The case study reviewed the strategies that involved naked put and calls as well as more complex hedging procedures, namely the butterfly strategy and the bear spread strategy. By purchasing a put option or selling a call option, the company anticipates a decrease in stock prices as in this case there would be a positive payoff. However, when higher prices are anticipated, the company is interested in purchasing a call option or selling a put option. The butterfly strategy allows the firm to cut potential losses and profits to a specific range whereas the bear spread protects against an increase in volatility. The latter strategy implies entering positions in options with different strike prices.
    [Show full text]