- Title Pages
- Dedication
- Figures
- Tables
- Acknowledgments
- About the Editors
- About the Contributors
- Abbreviations
-
1 Commodities -
2 The Economics of Commodities and Commodity Markets -
3 Commodity Exchanges and Regulation -
4 Behavioral Aspects of Commodity Markets -
5 Commodity Derivatives -
6 Fundamentals and Commodity Prices -
7 Physical Commodities -
8 Agricultural -
9 Energy -
10 Livestock -
11 Metals -
12 Commodity Trading Advisors and Managed Futures -
13 Commodity Exchange-Traded Funds -
14 Commodity Mutual Funds -
15 Pricing of Futures Contracts -
16 Return Characteristics of Commodities -
17 Issues in Benchmarking Commodity Performance -
18 Volatility Transmission across Commodity Futures Markets -
19 Commodities in International and Emerging Markets -
20 Commodity Trading Strategies, Common Mistakes, and Catastrophic Blowups -
21 Asset Allocation Strategies and Commodities -
22 Food Prices and Food Price Volatility -
23 High Frequency Trading of Commodities -
24 Energy Risk Management -
25 Financialization of Commodity Markets -
26 Virtual Currencies as Commodities -
27 Research Issues in Commodities and Commodity Derivatives -
28 Future of Commodity Markets and Investments - Discussion Questions and Answers
- Index
Pricing of Futures Contracts
Pricing of Futures Contracts
- Chapter:
- (p.277) 15 Pricing of Futures Contracts
- Source:
- Commodities
- Author(s):
Timothy A. Krause
- Publisher:
- Oxford University Press
This chapter examines the relation between futures prices relative to the spot price of the underlying asset. Basic futures pricing is characterized by the convergence of futures and spot prices during the delivery period just before contract expiration. However, “no arbitrage” arguments that dictate the fair value of futures contracts largely determine pricing relations before expiration. Although the cost of carry model in its various forms largely determines futures prices before expiration, the chapter presents alternative explanations. Related commodity futures complexes exhibit mean-reverting behavior, as seen in commodity spread markets and other interrelated commodities. Energy commodity futures prices can be somewhat accurately modeled as a generalized autoregressive conditional heteroskedastic (GARCH) process, although whether these models provide economically significant excess returns is uncertain.
Keywords: futures pricing, arbitrage, fair value, commodity spread, modeling commodity prices
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- Title Pages
- Dedication
- Figures
- Tables
- Acknowledgments
- About the Editors
- About the Contributors
- Abbreviations
-
1 Commodities -
2 The Economics of Commodities and Commodity Markets -
3 Commodity Exchanges and Regulation -
4 Behavioral Aspects of Commodity Markets -
5 Commodity Derivatives -
6 Fundamentals and Commodity Prices -
7 Physical Commodities -
8 Agricultural -
9 Energy -
10 Livestock -
11 Metals -
12 Commodity Trading Advisors and Managed Futures -
13 Commodity Exchange-Traded Funds -
14 Commodity Mutual Funds -
15 Pricing of Futures Contracts -
16 Return Characteristics of Commodities -
17 Issues in Benchmarking Commodity Performance -
18 Volatility Transmission across Commodity Futures Markets -
19 Commodities in International and Emerging Markets -
20 Commodity Trading Strategies, Common Mistakes, and Catastrophic Blowups -
21 Asset Allocation Strategies and Commodities -
22 Food Prices and Food Price Volatility -
23 High Frequency Trading of Commodities -
24 Energy Risk Management -
25 Financialization of Commodity Markets -
26 Virtual Currencies as Commodities -
27 Research Issues in Commodities and Commodity Derivatives -
28 Future of Commodity Markets and Investments - Discussion Questions and Answers
- Index