Futures, Forward and Option Contracts How a Futures Contract
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Term Structure Models of Commodity Prices
TERM STRUCTURE MODELS OF COMMODITY PRICES Cahier de recherche du Cereg n°2003–9 Delphine LAUTIER ABSTRACT. This review article describes the main contributions in the literature on term structure models of commodity prices. A first section is devoted to the theoretical analysis of the term structure. It confines itself primarily to the traditional theories of commodity prices and to their explanation of the relationship between spot and futures prices. The normal backwardation and storage theories are however a bit limited when the whole term structure is taken into account. As a result, there is a need for an extension of the analysis for long-term horizon, which constitutes the second point of the section. Finally, a dynamic analysis of the term structure is presented. Section two is centred on term structure models of commodity prices. The presentation shows that these models differ on the nature and the number of factors used to describe uncertainty. Four different factors are generally used: the spot price, the convenience yield, the interest rate, and the long-term price. Section three reviews the main empirical results obtained with term structure models. First of all, simulations highlight the influence of the assumptions concerning the stochastic process retained for the state variables and the number of state variables. Then, the method usually employed for the estimation of the parameters is explained. Lastly, the models’ performances, namely their ability to reproduce the term structure of commodity prices, are presented. Section four exposes the two main applications of term structure models: hedging and valuation. Section five resumes the broad trends in the literature on commodity pricing during the 1990s and early 2000s, and proposes futures directions for research. -
What Drives Index Options Exposures?* Timothy Johnson1, Mo Liang2, and Yun Liu1
Review of Finance, 2016, 1–33 doi: 10.1093/rof/rfw061 What Drives Index Options Exposures?* Timothy Johnson1, Mo Liang2, and Yun Liu1 1University of Illinois at Urbana-Champaign and 2School of Finance, Renmin University of China Abstract 5 This paper documents the history of aggregate positions in US index options and in- vestigates the driving factors behind use of this class of derivatives. We construct several measures of the magnitude of the market and characterize their level, trend, and covariates. Measured in terms of volatility exposure, the market is economically small, but it embeds a significant latent exposure to large price changes. Out-of-the- 10 money puts are the dominant component of open positions. Variation in options use is well described by a stochastic trend driven by equity market activity and a sig- nificant negative response to increases in risk. Using a rich collection of uncertainty proxies, we distinguish distinct responses to exogenous macroeconomic risk, risk aversion, differences of opinion, and disaster risk. The results are consistent with 15 the view that the primary function of index options is the transfer of unspanned crash risk. JEL classification: G12, N22 Keywords: Index options, Quantities, Derivatives risk 20 1. Introduction Options on the market portfolio play a key role in capturing investor perception of sys- tematic risk. As such, these instruments are the object of extensive study by both aca- demics and practitioners. An enormous literature is concerned with modeling the prices and returns of these options and analyzing their implications for aggregate risk, prefer- 25 ences, and beliefs. Yet, perhaps surprisingly, almost no literature has investigated basic facts about quantities in this market. -
Derivative Securities
2. DERIVATIVE SECURITIES Objectives: After reading this chapter, you will 1. Understand the reason for trading options. 2. Know the basic terminology of options. 2.1 Derivative Securities A derivative security is a financial instrument whose value depends upon the value of another asset. The main types of derivatives are futures, forwards, options, and swaps. An example of a derivative security is a convertible bond. Such a bond, at the discretion of the bondholder, may be converted into a fixed number of shares of the stock of the issuing corporation. The value of a convertible bond depends upon the value of the underlying stock, and thus, it is a derivative security. An investor would like to buy such a bond because he can make money if the stock market rises. The stock price, and hence the bond value, will rise. If the stock market falls, he can still make money by earning interest on the convertible bond. Another derivative security is a forward contract. Suppose you have decided to buy an ounce of gold for investment purposes. The price of gold for immediate delivery is, say, $345 an ounce. You would like to hold this gold for a year and then sell it at the prevailing rates. One possibility is to pay $345 to a seller and get immediate physical possession of the gold, hold it for a year, and then sell it. If the price of gold a year from now is $370 an ounce, you have clearly made a profit of $25. That is not the only way to invest in gold. -
Schedule Rc-L – Derivatives and Off-Balance Sheet Items
FFIEC 031 and 041 RC-L – DERIVATIVES AND OFF-BALANCE SHEET SCHEDULE RC-L – DERIVATIVES AND OFF-BALANCE SHEET ITEMS General Instructions Schedule RC-L should be completed on a fully consolidated basis. In addition to information about derivatives, Schedule RC-L includes the following selected commitments, contingencies, and other off-balance sheet items that are not reportable as part of the balance sheet of the Report of Condition (Schedule RC). Among the items not to be reported in Schedule RC-L are contingencies arising in connection with litigation. For those asset-backed commercial paper program conduits that the reporting bank consolidates onto its balance sheet (Schedule RC) in accordance with FASB Interpretation No. 46 (Revised), any credit enhancements and liquidity facilities the bank provides to the programs should not be reported in Schedule RC-L. In contrast, for conduits that the reporting bank does not consolidate, the bank should report the credit enhancements and liquidity facilities it provides to the programs in the appropriate items of Schedule RC-L. Item Instructions Item No. Caption and Instructions 1 Unused commitments. Report in the appropriate subitem the unused portions of commitments to make or purchase extensions of credit in the form of loans or participations in loans, lease financing receivables, or similar transactions. Exclude commitments that meet the definition of a derivative and must be accounted for in accordance with FASB Statement No. 133, which should be reported in Schedule RC-L, item 12. Report the unused portions of all credit card lines in item 1.b. Report in items 1.a and 1.c through 1.e the unused portions of commitments for which the bank has charged a commitment fee or other consideration, or otherwise has a legally binding commitment. -
Derivatives: a Twenty-First Century Understanding Timothy E
Loyola University Chicago Law Journal Volume 43 Article 3 Issue 1 Fall 2011 2011 Derivatives: A Twenty-First Century Understanding Timothy E. Lynch University of Missouri-Kansas City School of Law Follow this and additional works at: http://lawecommons.luc.edu/luclj Part of the Banking and Finance Law Commons Recommended Citation Timothy E. Lynch, Derivatives: A Twenty-First Century Understanding, 43 Loy. U. Chi. L. J. 1 (2011). Available at: http://lawecommons.luc.edu/luclj/vol43/iss1/3 This Article is brought to you for free and open access by LAW eCommons. It has been accepted for inclusion in Loyola University Chicago Law Journal by an authorized administrator of LAW eCommons. For more information, please contact [email protected]. Derivatives: A Twenty-First Century Understanding Timothy E. Lynch* Derivatives are commonly defined as some variationof the following: financial instruments whose value is derivedfrom the performance of a secondary source such as an underlying bond, commodity, or index. This definition is both over-inclusive and under-inclusive. Thus, not surprisingly, even many policy makers, regulators, and legal analysts misunderstand them. It is important for interested parties such as policy makers to understand derivatives because the types and uses of derivatives have exploded in the last few decades and because these financial instruments can provide both social benefits and cause social harms. This Article presents a framework for understanding modern derivatives by identifying the characteristicsthat all derivatives share. All derivatives are contracts between two counterparties in which the payoffs to andfrom each counterparty depend on the outcome of one or more extrinsic, future, uncertain event or metric and in which each counterparty expects (or takes) such outcome to be opposite to that expected (or taken) by the other counterparty. -
Chapter 19 Futures and Options
M19_MCNA8932_01_SE_C19.indd Page 1 07/02/14 9:15 PM f-w-155-user ~/Desktop/7:2:2014/Mcnally Chapter 19 Futures and Options LEARNING OBJECTIVES | LO1 | LO2 | LO3 | LO4 | LO5 | LO6 Understand the Understand futures Describe how Understand Understand the Understand basics of forward contracts, how futures are used option contracts payoffs to options intrinsic value contracts. futures are traded, to hedge price and how options contracts. and time value. and the payoffs to risk. are traded. futures contracts. M19_MCNA8932_01_SE_C19.indd Page 2 07/02/14 9:15 PM f-w-155-user ~/Desktop/7:2:2014/Mcnally Futures and Options History of Futures and Options Introduction Futures and options are derivative contracts . The term “derivative” is used because the price of a future or option is derived from the price (level) of an underlying asset (variable). The Explain It video presents an overview of the derivatives, markets, and some of the assets (variables) underlying Chicago Mercantile Exchange futures and options contracts. In this chapter, we introduce derivatives as tools that companies use to reduce price risk . An action that reduces price risk is called a hedge. We will focus on hedging with derivatives. An action that increases price risk is called speculating. Speculators accept price risk in the hope of making a profi t. The derivatives markets are a place where hedgers pass their price risk off to speculators. The Explain It video provides a simple example of a business using a derivative (a futures contract) to hedge a price risk. Also in this chapter, we will provide the detail that you need to fully understand the profi ts of a futures transaction. -
EC3070 FINANCIAL DERIVATIVES GLOSSARY Ask Price the Bid Price
EC3070 FINANCIAL DERIVATIVES GLOSSARY Ask price The bid price. Arbitrage An arbitrage is a financial strategy yielding a riskless profit and requiring no investment. It commonly amounts to the successive purchase and sale, or vice versa, of an asset at differing prices in different markets. i.e. it involves buying cheap and selling dear or selling dear and buying cheap. Bid A bid is a proposal to buy. A typical convention for vocalising a bid is “p for n”: p being the proposed unit price and n being the number of units or contracts demanded. Backwardation Backwardation describes a situation where the amount of money required for the future delivery of an item is lower than the amount required for immediate delivery. Backwardation is a signal that the item in question is in short supply. The opposite market condition to backwardation is known as contango, which is when the spot price is lower than the futures price. In fact, there is some ambiguity in the usage of the term. According to the definition above, backwardation is when Fτ|0 <S0, where Fτ|0 is the current price for a delivery at time τ and S0 is the current spot price. In an alternative definition, backwardation exists when Fτ|0 <E(Fτ|t) with 0 <t<τ, which is when the expected future price at a later date exceeds the futures price settled at time t = 0. In modern usage, this is called normal backwardation. Buyer A buyer is a long position holder who has agreed to accept the delivery of a commodity at some future date. -
Product Specific Contract Terms and Eligibility Criteria Manual
PRODUCT SPECIFIC CONTRACT TERMS AND ELIGIBILITY CRITERIA MANUAL CONTENTS Page SCHEDULE 1 REPOCLEAR ................................................................................................... 3 Part A Repoclear Contract Terms: Repoclear Contracts arising from Repoclear Transactions, Repo Trades or Bond Trades .......................................................... 3 Part B Product Eligibility Criteria for Registration of a RepoClear Contract ................... 9 Part C Repoclear Term £GC Contract Terms: Repoclear term £GC Contracts Arising From Repoclear Term £GC Transactions Or Term £GC Trades ........................ 12 Part D Product Eligibility Criteria for Registration of a RepoClear Term £GC Contract ............................................................................................................................. 19 SCHEDULE 2 SWAPCLEAR ................................................................................................ 21 Part A Swapclear Contract Terms ................................................................................... 21 Part B Product Eligibility Criteria for Registration of a SwapClear Contract ................ 36 SCHEDULE 3 EQUITYCLEAR ............................................................................................. 46 Part A EquityClear (Equities) Contract Terms ................................................................ 46 Part B EquityClear Eligible (Equities) ............................................................................ 48 Part C EquityClear -
Copyrighted Material
k Trim Size: 6in x 9in Sinclair583516 bindex.tex V1 - 05/04/2020 9:51 P.M. Page 219 INDEX Bid-ask spreads (total cost component), 200 A Bitcoin, 172–173, 172f Acceleration, 60 Black-Scholes-Merton (BSM) Adjustment repair, 86 assumptions/equation/model, 2–4, 6, Alpha decay, 15–16 Anchoring, 19 108, 113, 115, 183, 192 Arbitrage counterparty risk, 178–179 Black-Scholes-Merton (BSM) PDE, 5, 116 Arbitrage pricing theory (APT), 63 Bonds, 49–50 Bonferroni’s correction, usage, 23 k ASPX option profits, taxation, 187 219 k Asymmetric implied volatility skew, 191 Broken wing butterflies/condors, 99–100 ATM, 104, 106t, 123, 131t, 137 Butterflies, 95–100, 96f, 98t At-the-money covered call, delta level, 135 BXMD/BXM/BXY, 133, 134t Autocorrelation, 73f, 91 Availability heuristic, 19 C Average return, calculation, 24 Calendar spread, 100–102 Calls, 55f, 129–136, 129f, 132f, 142 B call spread, 130f, 131t, 142f, 143t Back-tested rules, performer sample, 23 implied volatility, level (example), 140t Backwardation, 61, 62 put-call parity/relationship, 95, 115, 116 Badly priced butterfly, returns (summary strike call, 118f, 120f statistics), 98t Capital asset pricing model (CAPM), Badly priced condor, returns (summary development, 63 statistics), 98t Cash flows, taxation rate, 6 Bankruptcy, risk (increase),COPYRIGHTED66 Catastrophe MATERIAL theory, 20 Bayesian model, usage, 30 Chicago Board Options Exchange (CBOE), 16, Behavioral biases, inefficiency, 67–68 36, 45–46, 133, 134f Behavioral finance, 16–21 CNDR index, 45, 45f Best, defining (possibility), 121 Commissions (total cost component), 200 Beta, 67–68, 68t, 82, 196 Commodities, 47–49, 48t, 49t BFLY index, 45, 46f Condors, 95–100, 96f, 97f, 98t, 104t Biases, 18–20, 23, 30, 113 Confidence, 61–62, 71–75, 80 k k Trim Size: 6in x 9in Sinclair583516 bindex.tex V1 - 05/04/2020 9:51 P.M. -
The Dynamics of Commodity Spot and Future Markets
The Dynamics of Commodity Spot and Futures Markets: A Primer Robert S. pindyck* I discuss the short-run dynamics of commodity prices, production, and inventories, as well as the sources and effects of market volatility. I explain how prices, rates of production, ana’ inventory levels are interrelated, and are determined via equilibrium in two interconnected markets: a cash market for spot purchases and sales of the commodity, and a market for storage. I show how equilibrium in these markets affects and is affected by changes in the level qf price volatility. I also explain the role and behavior of commodity futures markets, and the relationship between spot prices, futures prices, and inventoql behavior. I illustrate these ideas with data for the petroleum complex - crude oil, heating oil, and gasoline - over the past two decades. INTRODUCTION The markets for oil products, natural gas, and many other commodities are characterized by high levels of volatility. Prices and inventory levels fluctuate considerably from week to week, in part predictably (e.g., due to seasonal shifts in demand) and in part unpredictably. Furthermore, levels of volatility themselves vary over time. This paper discusses the short-run dynamics of commodity prices, production, and inventories, as well as the sources and effects of market volatility. I explain how prices, rates of production, and inventory levels are interrelated, and are determined via equilibrium in two interconnected markets: a cash market for spot purchases and sales of the commodity, and a market for storage. I also explain how equilibrium in these markets affects and is affected by changes in the level of price volatility. -
Financial Services Guide As Amended, Supplemented Or Updated from Time to Time
Ingenuity that bridges you with the global marketplace Product Disclosure Statement November 24, 2016 | Version 1.3 Issuer: Cambridge Mercantile (Australia) Pty. Ltd. (ACN 126642448) Address: Suite 13.02, Level 13, 35 Clarence Street Sydney, NSW, Australia Web: www.cambridgefx.com.au Phone: 1300 553 140 Fax: (02) 9262 1522 Email: [email protected] Australian Financial Services Licence Number: 351278 Table of Contents 1. Key Information – pg. 3 2. Spot Contracts – pg. 4 3. Forward Contracts – pg. 5 4. Non-Deliverable Forwards – pg. 8 5. Bids (or Market Orders) –pg. 11 6. Options –pg. 13 7. Significant benefits common to all our products –pg.20 8. Significant risks common to all our products –pg. 20 9. Are there any credit requirements prior transacting? –pg. 21 10.How we are paid, and what are the product costs? –pg. 22 11.Terms and Conditions –pg. 22 12.Providing instructions by telephone –pg. 23 13.How we handle your money –pg. 23 14.Client Monies –pg. 23 15.Stopping or cancelling a payment –pg. 23 16.Tax implications –pg. 24 17.What are our different roles? –pg. 24 18.How do we handle your personal information? –pg. 24 19.Would you like more information? –pg. 24 20.What should you do if you have a complaint? –pg. 24 21.Glossary –pg. 25 2 Cambridge | Product Disclosure Statement | 24 - 11 - 2016 1. Key Information Cambridge Mercantile (Australia) Pty. Ltd. [ACN 126642448 and Australian Financial Services License 351278] (Cambridge, us, we, our) is the issuer of the products described in this Product Disclosure Statement (PDS). -
Essays in Risk Management for Crude Oil Markets
Essays in Risk Management for Crude Oil Markets by Abdullah Al Mansour A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Applied Economics Waterloo, Ontario, Canada, 2012 c Abdullah Al Mansour 2012 I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract This thesis consists of three essays on risk management in crude oil markets. In the first essay, the valuation of an oil sands project is studied using real options approach. Oil sands production consumes substantial amount of natural gas during extracting and upgrading. Natural gas prices are known to be stochastic and highly volatile which introduces a risk factor that needs to be taken into account. The essay studies the impact of this risk factor on the value of an oil sands project and its optimal operation. The essay takes into account the co-movement between crude oil and natural gas markets and, accordingly, proposes two models: one incorporates a long-run link between the two markets while the other has no such link. The valuation problem is solved using the Least Square Monte Carlo (LSMC) method proposed by Longstaff and Schwartz (2001) for valuing American options. The valuation results show that incorporating a long-run relationship between the two markets is a very crucial decision in the value of the project and in its optimal operation.