Risk Management in Commodity Markets
From Shipping to Agriculturals and Energy
Ed.: Geman, Helyette
Risk Management in Commodity Markets
From Shipping to Agriculturals and Energy
Ed.: Geman, Helyette
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Commodities represent today the fastest growing markets worldwide. Historically misunderstood, generally under- studied and under- valued, certainly under- represented in the literature, commodities are suddenly receiving the attention they deserve. Bringing together some of the best authors in the field, this book focuses on the risk management issues associated with both soft and hard commodities: energy, weather, agriculturals, metals and shipping. Taking the reader through every part of the commodities markets, the authors discuss the intricacies of modelling spot and forward prices, as…mehr
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Commodities represent today the fastest growing markets worldwide. Historically misunderstood, generally under- studied and under- valued, certainly under- represented in the literature, commodities are suddenly receiving the attention they deserve.
Bringing together some of the best authors in the field, this book focuses on the risk management issues associated with both soft and hard commodities: energy, weather, agriculturals, metals and shipping. Taking the reader through every part of the commodities markets, the authors discuss the intricacies of modelling spot and forward prices, as well as the design of new Futures markets. The book also looks at the use of options and other derivative contract forms for hedging purposes, as well as supply management in commodity markets. It looks at the implications for climate policy and climate research and analyzes the various freight derivatives markets and products used to manage shipping and freight risk in a global commodity world.
It is required reading for energy and mining companies, utilities' practitioners, commodity and cash derivatives traders in investment banks, CTA's and hedge funds
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Bringing together some of the best authors in the field, this book focuses on the risk management issues associated with both soft and hard commodities: energy, weather, agriculturals, metals and shipping. Taking the reader through every part of the commodities markets, the authors discuss the intricacies of modelling spot and forward prices, as well as the design of new Futures markets. The book also looks at the use of options and other derivative contract forms for hedging purposes, as well as supply management in commodity markets. It looks at the implications for climate policy and climate research and analyzes the various freight derivatives markets and products used to manage shipping and freight risk in a global commodity world.
It is required reading for energy and mining companies, utilities' practitioners, commodity and cash derivatives traders in investment banks, CTA's and hedge funds
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Wiley Finance Series
- Verlag: Wiley & Sons
- Artikelnr. des Verlages: 14569425000
- 1. Auflage
- Seitenzahl: 320
- Erscheinungstermin: 20. Januar 2009
- Englisch
- Abmessung: 253mm x 178mm x 28mm
- Gewicht: 692g
- ISBN-13: 9780470694251
- ISBN-10: 0470694254
- Artikelnr.: 24699768
- Wiley Finance Series
- Verlag: Wiley & Sons
- Artikelnr. des Verlages: 14569425000
- 1. Auflage
- Seitenzahl: 320
- Erscheinungstermin: 20. Januar 2009
- Englisch
- Abmessung: 253mm x 178mm x 28mm
- Gewicht: 692g
- ISBN-13: 9780470694251
- ISBN-10: 0470694254
- Artikelnr.: 24699768
HELYETTE GEMAN is a Professor of Finance at Birkbeck, University of London and ESSEC Graduate Business School. She is a graduate of l'École Normale Supérieure in Mathematics, holds a Masters degree in Theoretical Physics and a PhD in Mathematics from the University Pierre et Marie Curie and a PhD in Finance from the University Panthéon Sorbonne. Professor Geman has been a scientific advisor to major financial institutions and energy and mining companies for the last 18 years, covering the spectrum of interest rates, catastrophic risk, oil, natural gas, electricity and metals. She was previously the head of Research and Development at Caisse des Dépôts. Professor Geman was the first president of the Bachelier Finance Society and has published more than 95 papers in top international finance Journals including the Journal of Finance, Journal of Financial Economics, Mathematical Finance. She is a Member of Honour of the French Society of Actuaries. Professor Geman's research includes interest rates and catastrophic insurance, asset price and commodity forward curve modelling, hedge funds and alternative investments, as well as exotic option pricing for which she won the first prize of the Merrill Lynch Awards in 1994. Her work on catastrophic options and CAT bonds and book Insurance and Weather Derivatives (1998) received the AFIR (actuarial approach to financial risk) prize. Prof Geman was named in 2004 in the Hall of Fame of Energy Risk and received in July 2008 the ISA medal for Sciences of the Alma Mater University of Bologna for the CGMY model, a pure jump Levy process widely used in finance since 2002. Her reference book Commodities and Commodity Derivatives was published by Wiley Finance in January 2005. Professor Geman is a Member of the Board of the UBS-Bloomberger Commodity Index.
Preface xi
About the Editor xv
About the Contributors xvii
1 Structural Models of Commodity Prices 1
Craig Pirrong, University of Houston
1.1 Introduction 1
1.2 A Commodity Taxonomy 1
1.3 Fundamental Models for Storable Commodities 2
1.4 Non-Storable Commodities 6
1.5 Summary 7
1.6 References 7
2 Forward Curve Modelling in Commodity Markets 9
Svetlana Borovkova, Universiteit Amsterdam, and Hélyette Geman, University
of London and ESSEC
2.1 Introduction 9
2.2 Forward Curve Models for Non-Seasonal Commodities 14
2.3 The Seasonal Forward Curve Model and its Extensions 17
2.4 Principal Component Analysis of a Forward Curve 24
2.5 Forward Curve Indicators 26
2.6 Conclusions 31
2.7 References 31
3 Integrating Physical and Financial Risk Management in Supply Management
33
Paul R. Kleindorfer, University of Pennsylvania and INSEAD
3.1 Introduction 33
3.2 A Primer On Previous Supply Management Contracting Literature 35
3.3 A Modelling Framework and a Simple Illustrative Case 37
3.4 Recent Contributions to the Optimal Contracting Literature 44
3.5 Some Open Research Questions and Implications for Practice 46
3.6 References 49
4 The Design of New Derivative Markets 51
Giovanni Barone-Adesi, The Swiss Finance Institute and The University of
Lugano
4.1 Introduction 51
4.2 Determinants of Success of New Derivative Markets 52
4.3 Price Discovery 53
4.4 Trading, Clearing, and Margining 54
4.5 Market Integrity 55
4.6 Market Recovery 56
4.7 Market Oversight 56
4.8 Case Studies 57
4.9 Conclusion 58
4.10 References 58
5 Risk Premia of Electricity Futures: A Dynamic Equilibrium Model 61
Wolfgang Bühler, University of Mannheim, and Jens Müller-Merbach, BHF-Bank
Aktiengesellschaft
5.1 Introduction 61
5.2 The Dynamic Equilibrium Model 62
5.3 Comparative Statics 64
5.4 Empirical Study 73
5.5 Conclusion 77
5.6 References 80
6 Measuring Correlation Risk for Energy Derivatives 81
Roza Galeeva, Jiri Hoogland, and Alexander Eydeland, CMG, Morgan Stanley
6.1 Introduction 81
6.2 Correlation 81
6.3 Perturbing the Correlation Matrix 82
6.4 Correlation VaR 85
6.5 Some Examples 85
6.6 Discussion and Conclusions 88
6.7 References 89
7 Precaution and a Dismal Theorem: Implications for Climate Policy and
Climate Research 91
Gary W. Yohe, Wesleyan University and Richard S. J. Tol, Economic and
Social Research Institute, Dublin
7.1 Introduction 91
7.2 A New Source of Concern: Weitzman's Dismal Theorem 93
7.3 Implications of the "Dismal Theorem" 94
7.4 Some Concluding Remarks 96
7.5 References 97
8 Incentives for Investing in Renewables 101
Falbo Paolo, University of Brescia, Felletti Daniele and Stefani Silvana,
University of Milano Bicocca
8.1 Introduction and Background 101
8.2 Subsidies for Energy 103
8.3 The Model 104
8.4 Statistical Estimations 107
8.5 Risk Analysis 109
8.6 Conclusions 114
8.7 References 115
9 Hedging the Risk of an Energy Futures Portfolio 117
Carol Alexander, ICMA Centre, University of Reading
9.1 Mapping Portfolios to Constant Maturity Futures 117
9.2 The Portfolio and its Key Risk Factors 120
9.3 Identifying the Key Risk Factors 123
9.4 Hedging the Portfolio Risk 124
9.5 Conclusions 127
9.6 References 127
10 Spark Spread Options when Commodity Prices are Represented as Time
Changed Processes 129
Elisa Luciano, University of Turin
10.1 Spark Spread Options 130
10.2 Time Change in a Nutshell 132
10.3 Time Change and Commodity Prices 134
10.4 An Application to PJM Electricity and NYMEX Natural Gas 137
10.5 Conclusions and Further Research 144
10.6 Appendix A: Modelling Specification in the Multivariate Case 145
10.7 Appendix B: Alternative Modelling Specifications in the Univariate
Case 147
10.8 References 150
11 Freight Derivatives and Risk Management: A Review 153
Manolis G. Kavussanos, Athens University of Economics and Business, and
Ilias D. Visvikis, ALBA Graduate Business School, Athens
11.1 Introduction 153
11.2 Forward Freight Agreements 154
11.3 Freight Futures 157
11.4 "Hybrid" (Cleared) FFAs 161
11.5 Freight Options 162
11.6 Empirical Research on Freight Derivatives 164
11.7 Conclusion 178
11.8 References 179
12 Mean-Reversion and Structural Breaks in Crude Oil, Copper, and Shipping
183
Hélyette Geman, University of London and ESSEC Business School, and Steve
Ohana, University of London
12.1 Introduction 183
12.2 Fundamentals of Copper, Crude Oil, and Shipping 186
12.3 Defining Mean-Reversion 191
12.4 Dataset and Unit Root Tests 193
12.5 Conclusion 203
12.6 References 204
13 Managing Agricultural Price Risk in Developing Countries 207
Julie Dana, The World Bank, and Christopher L. Gilbert, University of
Trento and University of London
13.1 The Liberalization Context 207
13.2 Incidence of Risk Exposure 209
13.3 Instruments and Problems 215
13.4 Price Risk Management in the Developing Country Supply Chain 221
13.5 Concluding Comments 234
13.6 References 236
14 Gaining Exposure to Emerging Markets in Institutional Portfolios: The
Role of Commodities 239
George A. Martin, Alternative Investment Analytics LLC and University of
Massachusetts at Amherst, and Richard Spurgin, Clark University and
Alternative Investment Analytics LLC
14.1 Introduction 239
14.2 Asset Markets and Economic Growth 239
14.3 Are Emerging Markets Equity Markets and Commodity Markets Integrated?
244
14.4 Implications for the Investment Policy of Institutional Investors 247
14.5 Conclusion 254
14.6 References 254
15 Case Studies and Risk Management in Commodity Derivatives Trading 255
Hilary Till, Premia Capital Management LLC
15.1 Introduction 255
15.2 Institutional Risk Management 258
15.3 Proprietary-Trading Risk Management 265
15.4 Hedge Fund Risk Management 266
15.5 Fund-of-Hedge-Funds Diversification 266
15.6 Market Risk Management 267
15.7 Conclusion 288
15.8 References 288
Index 293
About the Editor xv
About the Contributors xvii
1 Structural Models of Commodity Prices 1
Craig Pirrong, University of Houston
1.1 Introduction 1
1.2 A Commodity Taxonomy 1
1.3 Fundamental Models for Storable Commodities 2
1.4 Non-Storable Commodities 6
1.5 Summary 7
1.6 References 7
2 Forward Curve Modelling in Commodity Markets 9
Svetlana Borovkova, Universiteit Amsterdam, and Hélyette Geman, University
of London and ESSEC
2.1 Introduction 9
2.2 Forward Curve Models for Non-Seasonal Commodities 14
2.3 The Seasonal Forward Curve Model and its Extensions 17
2.4 Principal Component Analysis of a Forward Curve 24
2.5 Forward Curve Indicators 26
2.6 Conclusions 31
2.7 References 31
3 Integrating Physical and Financial Risk Management in Supply Management
33
Paul R. Kleindorfer, University of Pennsylvania and INSEAD
3.1 Introduction 33
3.2 A Primer On Previous Supply Management Contracting Literature 35
3.3 A Modelling Framework and a Simple Illustrative Case 37
3.4 Recent Contributions to the Optimal Contracting Literature 44
3.5 Some Open Research Questions and Implications for Practice 46
3.6 References 49
4 The Design of New Derivative Markets 51
Giovanni Barone-Adesi, The Swiss Finance Institute and The University of
Lugano
4.1 Introduction 51
4.2 Determinants of Success of New Derivative Markets 52
4.3 Price Discovery 53
4.4 Trading, Clearing, and Margining 54
4.5 Market Integrity 55
4.6 Market Recovery 56
4.7 Market Oversight 56
4.8 Case Studies 57
4.9 Conclusion 58
4.10 References 58
5 Risk Premia of Electricity Futures: A Dynamic Equilibrium Model 61
Wolfgang Bühler, University of Mannheim, and Jens Müller-Merbach, BHF-Bank
Aktiengesellschaft
5.1 Introduction 61
5.2 The Dynamic Equilibrium Model 62
5.3 Comparative Statics 64
5.4 Empirical Study 73
5.5 Conclusion 77
5.6 References 80
6 Measuring Correlation Risk for Energy Derivatives 81
Roza Galeeva, Jiri Hoogland, and Alexander Eydeland, CMG, Morgan Stanley
6.1 Introduction 81
6.2 Correlation 81
6.3 Perturbing the Correlation Matrix 82
6.4 Correlation VaR 85
6.5 Some Examples 85
6.6 Discussion and Conclusions 88
6.7 References 89
7 Precaution and a Dismal Theorem: Implications for Climate Policy and
Climate Research 91
Gary W. Yohe, Wesleyan University and Richard S. J. Tol, Economic and
Social Research Institute, Dublin
7.1 Introduction 91
7.2 A New Source of Concern: Weitzman's Dismal Theorem 93
7.3 Implications of the "Dismal Theorem" 94
7.4 Some Concluding Remarks 96
7.5 References 97
8 Incentives for Investing in Renewables 101
Falbo Paolo, University of Brescia, Felletti Daniele and Stefani Silvana,
University of Milano Bicocca
8.1 Introduction and Background 101
8.2 Subsidies for Energy 103
8.3 The Model 104
8.4 Statistical Estimations 107
8.5 Risk Analysis 109
8.6 Conclusions 114
8.7 References 115
9 Hedging the Risk of an Energy Futures Portfolio 117
Carol Alexander, ICMA Centre, University of Reading
9.1 Mapping Portfolios to Constant Maturity Futures 117
9.2 The Portfolio and its Key Risk Factors 120
9.3 Identifying the Key Risk Factors 123
9.4 Hedging the Portfolio Risk 124
9.5 Conclusions 127
9.6 References 127
10 Spark Spread Options when Commodity Prices are Represented as Time
Changed Processes 129
Elisa Luciano, University of Turin
10.1 Spark Spread Options 130
10.2 Time Change in a Nutshell 132
10.3 Time Change and Commodity Prices 134
10.4 An Application to PJM Electricity and NYMEX Natural Gas 137
10.5 Conclusions and Further Research 144
10.6 Appendix A: Modelling Specification in the Multivariate Case 145
10.7 Appendix B: Alternative Modelling Specifications in the Univariate
Case 147
10.8 References 150
11 Freight Derivatives and Risk Management: A Review 153
Manolis G. Kavussanos, Athens University of Economics and Business, and
Ilias D. Visvikis, ALBA Graduate Business School, Athens
11.1 Introduction 153
11.2 Forward Freight Agreements 154
11.3 Freight Futures 157
11.4 "Hybrid" (Cleared) FFAs 161
11.5 Freight Options 162
11.6 Empirical Research on Freight Derivatives 164
11.7 Conclusion 178
11.8 References 179
12 Mean-Reversion and Structural Breaks in Crude Oil, Copper, and Shipping
183
Hélyette Geman, University of London and ESSEC Business School, and Steve
Ohana, University of London
12.1 Introduction 183
12.2 Fundamentals of Copper, Crude Oil, and Shipping 186
12.3 Defining Mean-Reversion 191
12.4 Dataset and Unit Root Tests 193
12.5 Conclusion 203
12.6 References 204
13 Managing Agricultural Price Risk in Developing Countries 207
Julie Dana, The World Bank, and Christopher L. Gilbert, University of
Trento and University of London
13.1 The Liberalization Context 207
13.2 Incidence of Risk Exposure 209
13.3 Instruments and Problems 215
13.4 Price Risk Management in the Developing Country Supply Chain 221
13.5 Concluding Comments 234
13.6 References 236
14 Gaining Exposure to Emerging Markets in Institutional Portfolios: The
Role of Commodities 239
George A. Martin, Alternative Investment Analytics LLC and University of
Massachusetts at Amherst, and Richard Spurgin, Clark University and
Alternative Investment Analytics LLC
14.1 Introduction 239
14.2 Asset Markets and Economic Growth 239
14.3 Are Emerging Markets Equity Markets and Commodity Markets Integrated?
244
14.4 Implications for the Investment Policy of Institutional Investors 247
14.5 Conclusion 254
14.6 References 254
15 Case Studies and Risk Management in Commodity Derivatives Trading 255
Hilary Till, Premia Capital Management LLC
15.1 Introduction 255
15.2 Institutional Risk Management 258
15.3 Proprietary-Trading Risk Management 265
15.4 Hedge Fund Risk Management 266
15.5 Fund-of-Hedge-Funds Diversification 266
15.6 Market Risk Management 267
15.7 Conclusion 288
15.8 References 288
Index 293
Preface xi
About the Editor xv
About the Contributors xvii
1 Structural Models of Commodity Prices 1
Craig Pirrong, University of Houston
1.1 Introduction 1
1.2 A Commodity Taxonomy 1
1.3 Fundamental Models for Storable Commodities 2
1.4 Non-Storable Commodities 6
1.5 Summary 7
1.6 References 7
2 Forward Curve Modelling in Commodity Markets 9
Svetlana Borovkova, Universiteit Amsterdam, and Hélyette Geman, University
of London and ESSEC
2.1 Introduction 9
2.2 Forward Curve Models for Non-Seasonal Commodities 14
2.3 The Seasonal Forward Curve Model and its Extensions 17
2.4 Principal Component Analysis of a Forward Curve 24
2.5 Forward Curve Indicators 26
2.6 Conclusions 31
2.7 References 31
3 Integrating Physical and Financial Risk Management in Supply Management
33
Paul R. Kleindorfer, University of Pennsylvania and INSEAD
3.1 Introduction 33
3.2 A Primer On Previous Supply Management Contracting Literature 35
3.3 A Modelling Framework and a Simple Illustrative Case 37
3.4 Recent Contributions to the Optimal Contracting Literature 44
3.5 Some Open Research Questions and Implications for Practice 46
3.6 References 49
4 The Design of New Derivative Markets 51
Giovanni Barone-Adesi, The Swiss Finance Institute and The University of
Lugano
4.1 Introduction 51
4.2 Determinants of Success of New Derivative Markets 52
4.3 Price Discovery 53
4.4 Trading, Clearing, and Margining 54
4.5 Market Integrity 55
4.6 Market Recovery 56
4.7 Market Oversight 56
4.8 Case Studies 57
4.9 Conclusion 58
4.10 References 58
5 Risk Premia of Electricity Futures: A Dynamic Equilibrium Model 61
Wolfgang Bühler, University of Mannheim, and Jens Müller-Merbach, BHF-Bank
Aktiengesellschaft
5.1 Introduction 61
5.2 The Dynamic Equilibrium Model 62
5.3 Comparative Statics 64
5.4 Empirical Study 73
5.5 Conclusion 77
5.6 References 80
6 Measuring Correlation Risk for Energy Derivatives 81
Roza Galeeva, Jiri Hoogland, and Alexander Eydeland, CMG, Morgan Stanley
6.1 Introduction 81
6.2 Correlation 81
6.3 Perturbing the Correlation Matrix 82
6.4 Correlation VaR 85
6.5 Some Examples 85
6.6 Discussion and Conclusions 88
6.7 References 89
7 Precaution and a Dismal Theorem: Implications for Climate Policy and
Climate Research 91
Gary W. Yohe, Wesleyan University and Richard S. J. Tol, Economic and
Social Research Institute, Dublin
7.1 Introduction 91
7.2 A New Source of Concern: Weitzman's Dismal Theorem 93
7.3 Implications of the "Dismal Theorem" 94
7.4 Some Concluding Remarks 96
7.5 References 97
8 Incentives for Investing in Renewables 101
Falbo Paolo, University of Brescia, Felletti Daniele and Stefani Silvana,
University of Milano Bicocca
8.1 Introduction and Background 101
8.2 Subsidies for Energy 103
8.3 The Model 104
8.4 Statistical Estimations 107
8.5 Risk Analysis 109
8.6 Conclusions 114
8.7 References 115
9 Hedging the Risk of an Energy Futures Portfolio 117
Carol Alexander, ICMA Centre, University of Reading
9.1 Mapping Portfolios to Constant Maturity Futures 117
9.2 The Portfolio and its Key Risk Factors 120
9.3 Identifying the Key Risk Factors 123
9.4 Hedging the Portfolio Risk 124
9.5 Conclusions 127
9.6 References 127
10 Spark Spread Options when Commodity Prices are Represented as Time
Changed Processes 129
Elisa Luciano, University of Turin
10.1 Spark Spread Options 130
10.2 Time Change in a Nutshell 132
10.3 Time Change and Commodity Prices 134
10.4 An Application to PJM Electricity and NYMEX Natural Gas 137
10.5 Conclusions and Further Research 144
10.6 Appendix A: Modelling Specification in the Multivariate Case 145
10.7 Appendix B: Alternative Modelling Specifications in the Univariate
Case 147
10.8 References 150
11 Freight Derivatives and Risk Management: A Review 153
Manolis G. Kavussanos, Athens University of Economics and Business, and
Ilias D. Visvikis, ALBA Graduate Business School, Athens
11.1 Introduction 153
11.2 Forward Freight Agreements 154
11.3 Freight Futures 157
11.4 "Hybrid" (Cleared) FFAs 161
11.5 Freight Options 162
11.6 Empirical Research on Freight Derivatives 164
11.7 Conclusion 178
11.8 References 179
12 Mean-Reversion and Structural Breaks in Crude Oil, Copper, and Shipping
183
Hélyette Geman, University of London and ESSEC Business School, and Steve
Ohana, University of London
12.1 Introduction 183
12.2 Fundamentals of Copper, Crude Oil, and Shipping 186
12.3 Defining Mean-Reversion 191
12.4 Dataset and Unit Root Tests 193
12.5 Conclusion 203
12.6 References 204
13 Managing Agricultural Price Risk in Developing Countries 207
Julie Dana, The World Bank, and Christopher L. Gilbert, University of
Trento and University of London
13.1 The Liberalization Context 207
13.2 Incidence of Risk Exposure 209
13.3 Instruments and Problems 215
13.4 Price Risk Management in the Developing Country Supply Chain 221
13.5 Concluding Comments 234
13.6 References 236
14 Gaining Exposure to Emerging Markets in Institutional Portfolios: The
Role of Commodities 239
George A. Martin, Alternative Investment Analytics LLC and University of
Massachusetts at Amherst, and Richard Spurgin, Clark University and
Alternative Investment Analytics LLC
14.1 Introduction 239
14.2 Asset Markets and Economic Growth 239
14.3 Are Emerging Markets Equity Markets and Commodity Markets Integrated?
244
14.4 Implications for the Investment Policy of Institutional Investors 247
14.5 Conclusion 254
14.6 References 254
15 Case Studies and Risk Management in Commodity Derivatives Trading 255
Hilary Till, Premia Capital Management LLC
15.1 Introduction 255
15.2 Institutional Risk Management 258
15.3 Proprietary-Trading Risk Management 265
15.4 Hedge Fund Risk Management 266
15.5 Fund-of-Hedge-Funds Diversification 266
15.6 Market Risk Management 267
15.7 Conclusion 288
15.8 References 288
Index 293
About the Editor xv
About the Contributors xvii
1 Structural Models of Commodity Prices 1
Craig Pirrong, University of Houston
1.1 Introduction 1
1.2 A Commodity Taxonomy 1
1.3 Fundamental Models for Storable Commodities 2
1.4 Non-Storable Commodities 6
1.5 Summary 7
1.6 References 7
2 Forward Curve Modelling in Commodity Markets 9
Svetlana Borovkova, Universiteit Amsterdam, and Hélyette Geman, University
of London and ESSEC
2.1 Introduction 9
2.2 Forward Curve Models for Non-Seasonal Commodities 14
2.3 The Seasonal Forward Curve Model and its Extensions 17
2.4 Principal Component Analysis of a Forward Curve 24
2.5 Forward Curve Indicators 26
2.6 Conclusions 31
2.7 References 31
3 Integrating Physical and Financial Risk Management in Supply Management
33
Paul R. Kleindorfer, University of Pennsylvania and INSEAD
3.1 Introduction 33
3.2 A Primer On Previous Supply Management Contracting Literature 35
3.3 A Modelling Framework and a Simple Illustrative Case 37
3.4 Recent Contributions to the Optimal Contracting Literature 44
3.5 Some Open Research Questions and Implications for Practice 46
3.6 References 49
4 The Design of New Derivative Markets 51
Giovanni Barone-Adesi, The Swiss Finance Institute and The University of
Lugano
4.1 Introduction 51
4.2 Determinants of Success of New Derivative Markets 52
4.3 Price Discovery 53
4.4 Trading, Clearing, and Margining 54
4.5 Market Integrity 55
4.6 Market Recovery 56
4.7 Market Oversight 56
4.8 Case Studies 57
4.9 Conclusion 58
4.10 References 58
5 Risk Premia of Electricity Futures: A Dynamic Equilibrium Model 61
Wolfgang Bühler, University of Mannheim, and Jens Müller-Merbach, BHF-Bank
Aktiengesellschaft
5.1 Introduction 61
5.2 The Dynamic Equilibrium Model 62
5.3 Comparative Statics 64
5.4 Empirical Study 73
5.5 Conclusion 77
5.6 References 80
6 Measuring Correlation Risk for Energy Derivatives 81
Roza Galeeva, Jiri Hoogland, and Alexander Eydeland, CMG, Morgan Stanley
6.1 Introduction 81
6.2 Correlation 81
6.3 Perturbing the Correlation Matrix 82
6.4 Correlation VaR 85
6.5 Some Examples 85
6.6 Discussion and Conclusions 88
6.7 References 89
7 Precaution and a Dismal Theorem: Implications for Climate Policy and
Climate Research 91
Gary W. Yohe, Wesleyan University and Richard S. J. Tol, Economic and
Social Research Institute, Dublin
7.1 Introduction 91
7.2 A New Source of Concern: Weitzman's Dismal Theorem 93
7.3 Implications of the "Dismal Theorem" 94
7.4 Some Concluding Remarks 96
7.5 References 97
8 Incentives for Investing in Renewables 101
Falbo Paolo, University of Brescia, Felletti Daniele and Stefani Silvana,
University of Milano Bicocca
8.1 Introduction and Background 101
8.2 Subsidies for Energy 103
8.3 The Model 104
8.4 Statistical Estimations 107
8.5 Risk Analysis 109
8.6 Conclusions 114
8.7 References 115
9 Hedging the Risk of an Energy Futures Portfolio 117
Carol Alexander, ICMA Centre, University of Reading
9.1 Mapping Portfolios to Constant Maturity Futures 117
9.2 The Portfolio and its Key Risk Factors 120
9.3 Identifying the Key Risk Factors 123
9.4 Hedging the Portfolio Risk 124
9.5 Conclusions 127
9.6 References 127
10 Spark Spread Options when Commodity Prices are Represented as Time
Changed Processes 129
Elisa Luciano, University of Turin
10.1 Spark Spread Options 130
10.2 Time Change in a Nutshell 132
10.3 Time Change and Commodity Prices 134
10.4 An Application to PJM Electricity and NYMEX Natural Gas 137
10.5 Conclusions and Further Research 144
10.6 Appendix A: Modelling Specification in the Multivariate Case 145
10.7 Appendix B: Alternative Modelling Specifications in the Univariate
Case 147
10.8 References 150
11 Freight Derivatives and Risk Management: A Review 153
Manolis G. Kavussanos, Athens University of Economics and Business, and
Ilias D. Visvikis, ALBA Graduate Business School, Athens
11.1 Introduction 153
11.2 Forward Freight Agreements 154
11.3 Freight Futures 157
11.4 "Hybrid" (Cleared) FFAs 161
11.5 Freight Options 162
11.6 Empirical Research on Freight Derivatives 164
11.7 Conclusion 178
11.8 References 179
12 Mean-Reversion and Structural Breaks in Crude Oil, Copper, and Shipping
183
Hélyette Geman, University of London and ESSEC Business School, and Steve
Ohana, University of London
12.1 Introduction 183
12.2 Fundamentals of Copper, Crude Oil, and Shipping 186
12.3 Defining Mean-Reversion 191
12.4 Dataset and Unit Root Tests 193
12.5 Conclusion 203
12.6 References 204
13 Managing Agricultural Price Risk in Developing Countries 207
Julie Dana, The World Bank, and Christopher L. Gilbert, University of
Trento and University of London
13.1 The Liberalization Context 207
13.2 Incidence of Risk Exposure 209
13.3 Instruments and Problems 215
13.4 Price Risk Management in the Developing Country Supply Chain 221
13.5 Concluding Comments 234
13.6 References 236
14 Gaining Exposure to Emerging Markets in Institutional Portfolios: The
Role of Commodities 239
George A. Martin, Alternative Investment Analytics LLC and University of
Massachusetts at Amherst, and Richard Spurgin, Clark University and
Alternative Investment Analytics LLC
14.1 Introduction 239
14.2 Asset Markets and Economic Growth 239
14.3 Are Emerging Markets Equity Markets and Commodity Markets Integrated?
244
14.4 Implications for the Investment Policy of Institutional Investors 247
14.5 Conclusion 254
14.6 References 254
15 Case Studies and Risk Management in Commodity Derivatives Trading 255
Hilary Till, Premia Capital Management LLC
15.1 Introduction 255
15.2 Institutional Risk Management 258
15.3 Proprietary-Trading Risk Management 265
15.4 Hedge Fund Risk Management 266
15.5 Fund-of-Hedge-Funds Diversification 266
15.6 Market Risk Management 267
15.7 Conclusion 288
15.8 References 288
Index 293