Real Options and the Information Provided by Term Structures of Commodity Prices
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Futures and Options Workbook
EEXAMININGXAMINING FUTURES AND OPTIONS TABLE OF 130 Grain Exchange Building 400 South 4th Street Minneapolis, MN 55415 www.mgex.com [email protected] 800.827.4746 612.321.7101 Fax: 612.339.1155 Acknowledgements We express our appreciation to those who generously gave their time and effort in reviewing this publication. MGEX members and member firm personnel DePaul University Professor Jin Choi Southern Illinois University Associate Professor Dwight R. Sanders National Futures Association (Glossary of Terms) INTRODUCTION: THE POWER OF CHOICE 2 SECTION I: HISTORY History of MGEX 3 SECTION II: THE FUTURES MARKET Futures Contracts 4 The Participants 4 Exchange Services 5 TEST Sections I & II 6 Answers Sections I & II 7 SECTION III: HEDGING AND THE BASIS The Basis 8 Short Hedge Example 9 Long Hedge Example 9 TEST Section III 10 Answers Section III 12 SECTION IV: THE POWER OF OPTIONS Definitions 13 Options and Futures Comparison Diagram 14 Option Prices 15 Intrinsic Value 15 Time Value 15 Time Value Cap Diagram 15 Options Classifications 16 Options Exercise 16 F CONTENTS Deltas 16 Examples 16 TEST Section IV 18 Answers Section IV 20 SECTION V: OPTIONS STRATEGIES Option Use and Price 21 Hedging with Options 22 TEST Section V 23 Answers Section V 24 CONCLUSION 25 GLOSSARY 26 THE POWER OF CHOICE How do commercial buyers and sellers of volatile commodities protect themselves from the ever-changing and unpredictable nature of today’s business climate? They use a practice called hedging. This time-tested practice has become a stan- dard in many industries. Hedging can be defined as taking offsetting positions in related markets. -
Real Options Valuation As a Way to More Accurately Estimate the Required Inputs to DCF
Northwestern University Kellogg Graduate School of Management Finance 924-A Professor Petersen Real Options Spring 2001 Valuation is at the foundation of almost all finance courses and the intellectual foundation of most valuation methods which we will examine is discounted cashflow. In Finance I you used DCF to value securities and in Finance II you used DCF to value projects. The valuation approach in Futures and Options appeared to be different, but was conceptually very similar. This course is meant to expand your knowledge of valuation – both the intuition of how it should be done as well as the practice of how it is done. Understanding when the two are the same and when they are not can be very valuable. Prerequisites: The prerequisite for this course is Finance II (441)/Turbo (440) and Futures and Options (465). Given the structure of the course, no auditors will be allowed. Course Readings: Course Packet for Finance 924 - Petersen Warning: This is a relatively new course. Thus you should expect that the content and organization of the course will be fluid and may change in real time. I reserve the right to add and alter the course materials during the term. I understand that this makes organization challenging. You need to keep on top of where we are and what requirements are coming. If you are ever unsure, ASK. I will keep you informed of the schedule via the course web page. You should check it each week to see what we will cover the next week and what assignments are due. -
Evaluating the Performance of the WTI
An Evaluation of the Performance of Oil Price Benchmarks During the Financial Crisis Craig Pirrong Professor of Finance Energy Markets Director, Global Energy Management Institute Bauer College of Business University of Houston I. IntroDuction The events of late‐summer, 2008 through the spring of 2009 have attracted considerable attention to the performance of oil price benchmarks, most notably the Chicago Mercantile Exchange’s West Texas Intermediate crude oil contract (“WTI” or “CL” hereafter) and ICE Futures’ Brent crude oil contract (“Brent futures” or “CB” hereafter). In particular, the behavior of spreads between the prices of futures contracts of different maturities, and between futures prices and cash prices during the period following the Lehman Brothers collapse has sparked allegations that futures prices have become disconnected from the underlying cash market fundamentals. The WTI contract has been the subject of particular criticisms alleging the unrepresentativeness of the Midcontinent market as a global price benchmark. I have analyzed extensive data from the crude oil cash and futures markets to evaluate the performance of the WTI and Brent futures contracts during the LH2008‐FH2009 period. Although the analysis focuses on this period, it relies on data extending back to 1990 in order to put the performance in historical context. I have also incorporated some data on physical crude market fundamentals, most 1 notably stocks, as these are essential in providing an evaluation of contract performance and the relation between pricing and fundamentals. My conclusions are as follows: 1. The October, 2008‐March 2009 period was one of historically unprecedented volatility. By a variety of measures, volatility in this period was extremely high, even compared to the months surrounding the First Gulf War, previously the highest volatility period in the modern oil trading era. -
Empirical Testing of Real Option in the Real Estate Market
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Available online at www.sciencedirect.com ScienceDirect Procedia Economics and Finance 24 ( 2015 ) 50 – 59 International Conference on Applied Economics, ICOAE 2015, 2-4 July 2015, Kazan, Russia Empirical Testing of Real Option in the Real Estate Market Andrejs Čirjevskisa*, Ernests Tatevosjansb a RISEBA, Meza street 3, Riga LV 1048, Latvia, bRISEBA, Meza street 3, Riga LV 1048, Latvia Abstract Existing researches have used real options valuation (ROV) theory to study investment in energy, oil and gas, and pharmaceutical sectors, yet little works have empirically examined ROV theory to study investment in a real estate market of EU countries that undergone severe economic crisis and now recovering. The aim of this paper is to test empirically ROV application for real estate development project with significant volatility in terms of price and cost and under strict legislation’s constraints. Paper illustrates empirical testing of ROV application of the investment project “Sun Village” developed by the ABC Project Ltd Company in Latvia in 2014. We apply three ROV methods: option space matrix “Tomato Garden”, Black-Scholes option pricing model and binominal option pricing model before we presented final research result. The flow chart of ROV application in real estate development projects presented in our research can serve as a “road map” for many similar projects in EU suffering real estate market bubble burst and present uncertainty. © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license © 2015 The Authors. -
Real Option Valuation Real Option Valuation in High-Tech Firm Tech Firm
Gothenburg University Schoool of Economics and Commercial Law Industrial and Financial Program Real Option Valuation in High-Tech Firm Supervisor: Wilhborg Clas Authors: Hu Pengfei Hua Yimin Real Option Valuation in High-Tech Firm Abstract In traditional financial theory, the discounted cash flow model (or NPV) operates as the basic framework for most analyses. In doing valuation analysis, the conventional view is that the net present value (NPV) of a project is the measure of the value that is the present value of expected cash flows added to the initial cost. Thus, investing in a positive (negative) net present value project will increase (decrease) value. Recently, this framework has come under some fire for failing to consider the options which are the managerial flexibilities, which are the collection of opportunities. A real-option model (Option-based strategic NPV model) is estimated and solved to yield the value of the project as well as the option value that is associated with managerial flexibilities. Most previous empirical researchers have considered the initial-investment decision (based on NPV model) but have neglected the possibility of flexible operation thereafter. Now the NPV must be compared with the strategic option value, by which investment is optimal while the NPV is negative. This leads investors to losing the chances to expand themselves. In the paper we modify the NPV by taking into account real options— theme of this paper, or strategic interactions. R&D, Equity and Joint Ventures will be viewed as real options in practice of case studies of this paper. Keywords: Discount rate, Net present value (NPV), Option(s) and valuation i Hu/Hua Real Option Valuation in High-Tech Firm Acknowledgments Those persons who have inspired us, helped us, or corrected us in the course of time are too numerous to be named. -
Encana Distinguished Lecture Series
Oil Futures Prices and OPEC Spare Capacity J.P. Morgan Center for Commodities Encana Distinguished Lecture Series September 18, 2014 Ms. Hilary Till, Principal, Premia Risk Consultancy, Inc., http://www.premiarisk.com; Research Associate, EDHEC-Risk Institute, http://www.edhec-risk.com; and Co-Editor, Intelligent Commodity Investing, http://www.riskbooks.com/intelligent-commodity-investing Disclaimers • This presentation is provided for educational purposes only and should not be construed as investment advice or an offer or solicitation to buy or sell securities or other financial instruments. • The opinions expressed during this presentation are the personal opinions of Hilary Till and do not necessarily reflect those of other organizations with which Ms. Till is affiliated. • The information contained in this presentation has been assembled from sources believed to be reliable, but is not guaranteed by the presenter. • Any (inadvertent) errors and omissions are the responsibility of Ms. Till alone. 2 Oil Futures Prices and OPEC Spare Capacity I. Crude Oil’s Importance for Commodity Indexes II. Structural Curve Shape of Individual Futures Contracts III. Structural Curve Shape and the Implications for Crude Oil Futures Contracts IV. Commodity Futures Curve Shape and Inventories Icon above is based on the statue in the Chicago Board of Trade plaza. 3 Oil Futures Prices and OPEC Spare Capacity V. Special Features of Crude Oil Markets VI. What Happens When OPEC Spare Capacity Becomes Quite Low? VII. The Plausible Link Between OPEC Spare Capacity and a Crude Oil Futures Curve Shape VIII. Current (Official) Expectations on OPEC Spare Capacity IX. Trading and Investment Conclusion 4 Oil Futures Prices and OPEC Spare Capacity Appendix A: Portfolio-Level Returns from Rebalancing Appendix B: Month-to-Month Factors Influencing a Crude Oil Futures Curve Appendix C: Consideration of the “1986 Oil Tactic” 5 I. -
VIX Futures As a Market Timing Indicator
Journal of Risk and Financial Management Article VIX Futures as a Market Timing Indicator Athanasios P. Fassas 1 and Nikolas Hourvouliades 2,* 1 Department of Accounting and Finance, University of Thessaly, Larissa 41110, Greece 2 Department of Business Studies, American College of Thessaloniki, Thessaloniki 55535, Greece * Correspondence: [email protected]; Tel.: +30-2310-398385 Received: 10 June 2019; Accepted: 28 June 2019; Published: 1 July 2019 Abstract: Our work relates to the literature supporting that the VIX also mirrors investor sentiment and, thus, contains useful information regarding future S&P500 returns. The objective of this empirical analysis is to verify if the shape of the volatility futures term structure has signaling effects regarding future equity price movements, as several investors believe. Our findings generally support the hypothesis that the VIX term structure can be employed as a contrarian market timing indicator. The empirical analysis of this study has important practical implications for financial market practitioners, as it shows that they can use the VIX futures term structure not only as a proxy of market expectations on forward volatility, but also as a stock market timing tool. Keywords: VIX futures; volatility term structure; future equity returns; S&P500 1. Introduction A fundamental principle of finance is the positive expected return-risk trade-off. In this paper, we examine the dynamic dependencies between future equity returns and the term structure of VIX futures, i.e., the curve that connects daily settlement prices of individual VIX futures contracts to maturities across time. This study extends the VIX futures-related literature by testing the market timing ability of the VIX futures term structure regarding future stock movements. -
What's Price Got to Do with Term Structure?
What’s Price Got To Do With Term Structure? An Introduction to the Change in Realized Roll Yields: Redefining How Forward Curves Are Measured Contributors: Historically, investors have been drawn to the systematic return opportunities, or beta, of commodities due to their potentially inflation-hedging and Jodie Gunzberg, CFA diversifying properties. However, because contango was a persistent market Vice President, Commodities condition from 2005 to 2011, occurring in 93% of the months during that time, [email protected] roll yield had a negative impact on returns. As a result, it may have seemed to some that the liquidity risk premium had disappeared. Marya Alsati-Morad Associate Director, Commodities However, as discussed in our paper published in September 2013, entitled [email protected] “Identifying Return Opportunities in A Demand-Driven World Economy,” the environment may be changing. Specifically, the world economy may be Peter Tsui shifting from one driven by expansion of supply to one driven by expansion of Director, Index Research & Design demand, which could have a significant impact on commodity performance. [email protected] This impact would be directly related to two hallmarks of a world economy driven by expansion of demand: the increasing persistence of backwardation and the more frequent flipping of term structures. In order to benefit in this changing economic environment, the key is to implement flexibility to keep pace with the quickly changing term structures. To achieve flexibility, there are two primary ways to modify the first-generation ® flagship index, the S&P GSCI . The first method allows an index to select contracts with expirations that are either near- or longer-dated based on the commodity futures’ term structure. -
Structural Position-Taking in Crude Oil Futures Contracts
Structural Position-Taking in Crude Oil Futures Contracts November 2015 Hilary Till Research Associate, EDHEC-Risk Institute Principal, Premia Research LLC Abstract Should an investor enter into long-term positions in oil futures contracts? In answering this question, this paper will cover the following three considerations: (1) the case for structural positions in crude oil futures contracts; (2) useful indicators for avoiding crash risk; and (3) financial asset diversification for downside hedging of oil price risk. This paper will conclude by noting the conditions under which one might consider including oil futures contracts in an investment portfolio. This paper is provided for educational purposes only and should not be construed as investment advice or an offer or solicitation to buy or sell securities or other financial instruments. The views expressed in this article are the personal opinions of Hilary Till and do not necessarily reflect the views of institutions with which Ms. Till is affiliated. Research assistance from Katherine Farren, CAIA, of Premia Risk Consultancy, Inc. is gratefully acknowledged. EDHEC is one of the top five business schools in France. Its reputation is built on the high quality of its faculty and the privileged relationship with professionals that the school has cultivated since its establishment in 1906. EDHEC Business School has decided to draw on its extensive knowledge of the professional environment and has therefore focused its research on themes that satisfy the needs of professionals. EDHEC pursues an active research policy in the field of finance. EDHEC-Risk Institute carries out numerous research programmes in the areas of asset allocation and risk management in both the 2 traditional and alternative investment universes. -
Real Options Valuation Applied to Transmission Expansion Planning
1 Real Options Valuation Applied to Transmission Expansion Planning S. Lumbreras, D.W. Bunn, A. Ramos, M. Chronopoulos Abstract- Transmission Expansion Planning (TEP) is a complex problem where building a new line involves a long permitting process of around 10 years. Therefore, transmission expansion must anticipate the evolution of uncertainties particularly those derived f by changes in the capacity and location of new generating facilities. As it is not possible to request permits for all possible lines, priorities must be established. We develop a formulation to use Real Options Valuation (ROV) to evaluate the potential benefit of candidate lines and thereby identify priority projects. We present a feasible representation of optionality in TEP projects and propose a tractable evaluation of option value. The proposed technique identifies the candidate transmission lines with the highest potential, as well as their main value drivers. This is implemented on a realistic case study based on the Spanish system. Index Terms— Power Transmission, Circuit Optimization, Mathematical Programming I. INTRODUCTION ransmission Expansion Planning (TEP), conventionally defined as the problem of “deciding which new lines will enable the system to satisfy forthcoming loads with the required degree of reliability” T(Kaltenbach, Peschon, & Gehrig, 1970), is a key element of power systems strategy. As such, it has received considerable attention in the academic literature (Latorre, Cruz, Areiza, & Villegas, 2003). Despite the extensive nature of this research, the topic remains challenging in both methodology and practice. This is mainly due to the inevitable need for approximation methods in formulation and pragmatic approaches in practice. To envisage the load flow consequences of all possible sequences of upgrades to an existing system, over a long time horizon, with stochastic evolutions of generation expansion, demand and fuel prices, is a task of unmanageable dimensionality. -
Using VIX to Help Trade Options
The Option Pit Method Understanding and Trading VIX Option Pit What we will cover in PART 1 • What VIX is and what it is not • What VIX measures • The nature of volatility • A look at the SPX straddle for an Easy VIX • Ways to trade VIX profitably What the heck is the VIX? VIX Facts • VIX has not gone below 8% or above 100% since 2008 • You cannot buy it or sell it • What it measures changes every week • It does not measure fear or complacency • The long term average for VIX is around 20 More VIX facts • Options on VIX only settle to VIX cash once per week • The VIX Index is generated from SPX options with a bid and an offer • At least 100 option series make up the VIX • The time to calculate VIX is measured in minutes VIX measures SPX 30 day implied volatility • Why 30 days? Well, that was all that was available when VIX was invented. • The calendar is very important to trading VIX • Most importantly: VIX DOES NOT MEASURE IV of options expiring this week or next week in the SPX • VIX uses the IV of the SPX options with 23 to 37 days to expiration. VIX is a volatility direction with a limit Volatility as a direction does not compound like A stock, it reverts to a mean Definition of Volatility • Basically the range of a stock over a certain period of time – In the case of the VIX, we are talking about the SPX only • There are RVX (Russell 2000) and TYVIX (10-Year Treasury Note) among others • There is a VIX for AAPL and a VIX for GOOGL So what is Volatility? • A 15% volatility on a $100 stock for 1 year would give us a range of $85 to $115 with a 68.2% degree of confidence. -
The Real Options Approach to Evaluating a Risky Investment by a New Generation Cooperative: Further Processing By
The Real Options Approach to Evaluating a Risky Investment by a New Generation Cooperative: Further Processing by Michael D. Bailey and Thomas L. Sporleder1 Abstract Farmers continue to be interested in opportunities for value added production through further processing. New Generation Cooperatives (NGCs) offer member commitment through up-front capital contributions on the part of members. For a potential start-up NGC, one of new and novel issues that face the management of an NGC is making project commitments against the total capital available, both equity and debt capital. Because of the up-front capital commitment by members, NGCs invite managers to make commitments in phases, rather than one initial go or no-go decision. Thus, the capital decision is complex and requires managerial vision in terms of an uncertain world beset by constant shifts in prices, interest rates, consumer tastes, and technology. This paper considers a novel means of evaluating this investment decision, one that encompasses risk components mentioned above. When the outcome of an investment is least certain, real options analysis has the greatest potential analytic value. As time goes by and prospects for an underlying investment become clearer, the value of an option diminishes. The methodology of real options is novel because it encourages managers, at time t, to weigh equally all imaginable alternatives, good and bad. A project’s net present value (NPV) is simply the difference between the project’s value and its cost. By definition of the NPV rule, managers should accept all projects with a net present value greater than zero. The distinction between real options and conventional decision-making arises in that the standard net present value rule does not take into account managerial flexibility over time.