Dale Gray, Samuel Malone

Macrofinancial Risk Analysis

• Gebundenes Buch

Produktbeschreibung

Macrofinancial risk analysis

Dale Gray and Samuel Malone

Macrofinancial Risk Analysis provides a new and powerful framework with which policymakers and investors can analyze risk and vulnerability in economies, both emerging market and industrial. Using modern risk management and financial engineering techniques applied to the macroeconomy, an economic value can be placed on the risks posed by inter-linkages between sectors, the risk of default of different sectors on their outstanding debt obligations quantified, and the value ex-ante of guarantees to private sector entities by the government calculated. This book guides the reader through the basic macroeconomic and financial models necessary to understand the framework, the core analytical tools, and more advanced contributions that will be of interest to researchers. This unique synthesis of ideas from finance and macroeconomics offers several original contributions to the theory of financial crises, as well as a range of new policy options for governments interested in achieving a better tradeoff between economic growth and macro risk.

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Produktdetails

• Wiley Finance Series
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 368
• Erscheinungstermin: 1. April 2008
• Englisch
• Abmessung: 250mm x 176mm x 26mm
• Gewicht: 791g
• ISBN-13: 9780470058312
• ISBN-10: 0470058315
• Artikelnr.: 23344142

Autorenporträt

Dr. DALE GRAY is the Senior Risk Expert in the Monetary and Capital Markets Department of the International Monetary Fund (IMF). He is founder and President of Macro Financial Risk, Inc. (Mf Risk) a pioneer in the application of risk management tools to economies (board members include Robert Merton and Zvi Bodie). He has worked for investment banks, hedge funds, Moody's Investors Service, IMF, World Bank, IFC as well as advising governments on macro risk analysis, management of sovereign wealth funds, and the design of risk mitigation strategies. He has worked on over thirty countries, is a frequent lecturer with numerous publications. He has a Ph.D. from MIT, MS from Stanford and is a certified Financial Risk Manager. Dr. SAMUEL W. MALONE is a professor of finance at the IESA, a business school in Caracas, and director of ProAlea, Inc., a risk and strategy consultancy based in Latin America.  He holds a doctorate in economics from the University of Oxford, UK, and undergraduate degrees in mathematics and economics from Duke University, where he graduated Phi Beta Kappa with summa cum laude Latin honors. Elected to attend Oxford as a Rhodes Scholar representing the United States, Malone is also a four-time winner of the international Mathematical Contest in Modeling, an intensive problem-solving competition in which participants devise and write up solutions to real-world problems chosen by experts in government and industry. Author of several articles in applied mathematics and economics, he has consulted for the International Monetary Fund and the Inter-American Development Bank in Washington, DC.

Inhaltsangabe

Foreword xv
Preface xix
1 Introduction 1
Part I Overview of Finance, Macroeconomics, and Risk Concepts 7
2 An Overview of Macroeconomics, and Why the Theory of Asset Pricing and
Contingent Claims Should Shape its Future 9
2.1 An overview of macroeconomics 10
2.2 How uncertainty is incorporated into macroeconomic models 13
2.3 Missing components in macro models: balance sheets with risk, default,
and (nonlinear) risk exposures 15
2.4 Asset-pricing theory, financial derivatives pricing, and contingent
claims analysis 17
2.5 Autoregression in economics vs. random walks in finance 19
2.6 Asset price process related to a threshold or barrier 21
2.7 Relating finance models and risk analytics to macroeconomic models 23
2.8 Toward macrofinancial engineering 24
2.9 Summary 25
References 26
3 Macroeconomic Models 29
3.1 The Hicks-Hansen IS-LM model of a closed economy 29
3.2 The Mundell-Fleming model of an open economy 33
3.3 A dynamic, stochastic, five-equation, small open economy macro model 38
3.4 Summary 42
References 42
4 Stochastic Processes, Asset Pricing, and Option Pricing 43
4.1 Stochastic processes 43
4.2 Itô's lemma 46
4.3 Asset pricing: Arrow-Debreu securities and the replicating portfolio 47
4.4 Put and call option values 48
4.5 Pricing the options using the Black-Scholes-Merton formula 50
4.6 Market price of risk 52
4.7 Implications of incomplete markets for pricing 54
4.8 Summary 55
Appendix 4A Primer on relationship of put, call, and exchange options 55
Appendix 4B Physics, Feynman, and finance 57
References 57
5 Balance Sheets, Implicit Options, and Contingent Claims Analysis 59
5.1 Uncertain assets and probability of distress or default on debt 59
5.2 Probability of distress or default 60
5.3 Debt and equity as contingent claims 61
5.4 Payoff diagrams for contingent claims 62
5.5 Understanding why an implicit put option equals expected loss 63
5.6 Using the Merton model and Black-Scholes-Merton formula to value
contingent claims 64
5.7 Measuring asset values and volatilities 68
5.8 Estimating implied asset value and asset volatility from equity or
junior claims 68
5.9 Risk measures 71
5.10 Summary 72
References 72
6 Further Extensions and Applications of Contingent Claims Analysis 73
6.1 Extensions of the Merton model 73
6.2 Applications of CCA with different types of distress barriers and
liability structures 74
6.3 Risk-adjusted and actual probabilities using the market price of risk,
Sharpe ratios, and recovery rates 78
6.4 Moody's-KMV approach 80
6.5 CCA using skewed asset distributions modeled with a mixture of
lognormals 81
6.6 Maximum likelihood methods 84
6.7 Incorporating stochastic interest rates and interest rate term
structures into structural CCA balance sheet models 85
6.8 Other structural models with stochastic interest rates 86
6.9 Summary 87
Appendix 6A Calculating parameters in the Vasicek model 87
References 88
Part II the Macrofinance Modeling Framework 91
7 The Macrofinance Modeling Framework: Interlinked Sector Balance Sheets 93
7.1 Contingent claim balance sheets for sectors 93
7.2 Measuring asset values and volatilities 98
7.3 Measuring risk exposures 100
7.4 Linkages in a simple four-sector framework 100
7.5 Integrated value and risk transmission between sectors 101
7.6 Policy effectiveness parameters in implicit options 105
7.7 Advantages of an integrated balance sheet risk approach 106
7.8 Summary 106
References 107
8 The Macrofinance Modeling Framework: A Closer Look at the Sovereign CCA
Balance Sheet 109
8.1 CCA balance sheet for the government and monetary authorities 109
8.2 Sovereign distress 111
8.3 Calculating implied sovereign assets and implied sovereign asset
volatility using CCA for the public sector balance sheet 111
8.4 Applications of the macrofinancial risk framework to sovereigns 115
8.5 Sovereign risk-neutral and estimated actual default probabilities on
foreign-currency-denominated debt 117
8.6 Spreads on sovereign foreign currency and local currency debt 118
8.7 Breaking down sovereign assets into key components 122
8.8 Risk-based scenario and policy analysis using calibrated sovereign CCA
related to spreads on foreign currency debt 123
8.9 Short-term and long-term government CCA balance sheets with monetary
authority 124
8.10 Summary 126
Appendix 8A Value and volatility of local currency liabilities and base
money 126
References 127
9 The Macrofinance Modeling Framework: Linking Interest Rate Models in
Finance and Macroeconomics 129
9.1 Overview of interest rate term structure models in finance 129
9.2 Two early theories: liquidity preference and the market for loanable
funds 131
9.3 Monetary policy, Taylor rules, and interest rates 131
9.4 Reconciling different perspectives on interest rate behavior 133
9.5 What to do when the monetary authority is linked closely to the
government balance sheet 135
9.6 Summary 136
References 137
10 Macrofinance Modeling Framework: Financial Sector Risk and Stability
Analysis 139
10.1 Calculating risk indicators for individual banks or financial
institutions 139
10.2 Time series of financial system risk indicators 140
10.3 Snapshot of system risk 145
10.4 Expected loss as a portfolio of implicit put options 146
10.5 Using a structural Merton model with stochastic interest rates for
capital adequacy estimates 149
10.6 Factor model to assess key drivers of system risk and for scenario
analysis 150
10.7 Multifactor risk analysis using copulas 152
10.8 Household balance sheet risk 152
10.9 Linking banking sector loans to corporate, household, and other
borrowers 153
10.10 Foreign-currency-denominated loans and the impact of the presence of
foreign banks on banking system risk 154
10.11 CCA models, financial stability indicators and links to macro models
155
10.12 Summary 159
Appendix 10A CCA model for banks and borrowers with
foreign-currency-denominated debt and lending spreads based on credit risk
160
References 161
11 Macrofinancial Modeling Framework: Extensions to Different Exchange Rate
Regimes 163
11.1 Floating exchange rate regimes, interest rates, and the sovereign
balance sheet 163
11.2 Fixed exchange rate regimes, interest rates and the sovereign balance
sheet 167
11.3 The impact of capital flows on the CCA sovereign balance sheet 172
11.4 Role of quasi-public entities in exchange rate management 173
11.5 Summary 174
References 174
Part III Linking Macrofinancial and Macroeconomic Frameworks 175
12 Sovereign Reserve, Debt, and Wealth Management from a Macrofinancial
Risk Perspective 177
12.1 Reserves adequacy and asset allocation: moving from simple rules to a
national framework 177
12.2 CCA for a firm with a subsidiary and its wealth management 179
12.3 Constructing contingent claim balance sheets for the national economy
180
12.4 Macro risk and wealth management 181
12.5 Summary 184
References 185
13 Macrofinancial Modeling Framework: Relationship to Accounting Balance
Sheets and the Flow of Funds 187
13.1 Economy-wide macro contingent claim balance sheets and risk exposures
187
13.2 Recovering traditional macroeconomic budget constraints and flow
identities from CCA valuation equations when volatility is zero 191
13.3 Interlinkages between CCA balance sheets, flows, and risk premiums 195
13.4 Using the production function to link corporate and household assets
197
13.5 Macrofinance, macroeconomic flows, and the business cycle 198
13.6 Summary 199
Appendix 13A Cross-holding by households and financial sectors of
contingent claims in other sectors 200
Appendix 13B Contingent claim values and returns of different sectors 201
References 202
14 Macrofinancial Risk Framework Linked to Macroeconomic Models 203
14.1 Adding risk analytics to the spectrum of macroeconomic models 203
14.2 The Mundell-Fleming model and default risk 204
14.3 Linking macrofinance outputs to DSGE models 206
14.4 Linking macrofinance outputs to dynamic, stochastic macroeconomic
policy models 208
14.5 Linking macrofinance outputs to macroeconometric VAR models 215
14.6 An integrated policy framework 216
14.7 Summary 217
References 217
Part IV Crisis and Distress in Economies 219
15 Macroeconomic Models vs. Crisis Models: Why Nonlinearity Matters 221
15.1 Recent financial crises and crisis models 222
15.2 Summary 229
References 229
16 Sensitivity Analysis, Destabilization Mechanisms, and Financial Crises
231
16.1 Sensitivity analysis, the "Greeks", and the valuation multiplier
effect 232
16.2 The volatility leverage effect 236
16.3 Feedback between the forward rate and domestic interest rates on local
currency debt 237
16.4 Feedback between local currency debt issuance and local currency
spreads in the presence of contingent liability constraints 241
16.5 Summary 244
References 245
17 The Case of Thailand, 1996-1999 247
17.1 Background 247
17.2 A macrofinance analysis of the Thai crisis 249
17.3 Scenario analysis 253
17.4 Summary 255
Appendix 17A Banking and corporate sector risk analysis with scenarios 257
References 258
18 The Brazil Crisis of 2002-2003 259
18.1 Background 259
18.2 A macrofinance analysis of the Brazil crisis 261
18.3 Summary 266
References 266
Part V Macrofinancial Model Applications and Analytical Issues 267
19 International Shocks, Risk Transmission, and Crisis Prevention: Backdrop
for Understanding the 2007-08 Global Financial Credit Turmoil 269
19.1 Changing global environment and global risk 270
19.2 Types of global shocks and the interaction with macrofinancial risk
models 277
19.3 The international financial system and crisis prevention 281
19.4 Structuring an effective risk-management hierarchy from the
international level down to the country authorities 282
19.5 Summary 283
References 283
20 Macro Risk Management: Ways to Mitigate, Control, and Transfer Risk in
the Economy 285
20.1 Overview of ways to manage risk 285
20.2 Direct change in financial structure 287
20.3 Risk transfer 288
20.4 Management of guarantees 290
20.5 Longer-term risk management via institutional and policy change 293
20.6 Summary 294
References 294
21 Integrated Framework for Corporate and Sovereign Relative Value and
Capital Structure Arbitrage 297
21.1 Capital structure arbitrage for firms and financial institutions 297
21.2 Credit and equity cycles 299
21.3 Sovereign capital structure relative value 300
21.4 Summary 302
References 302
22 Conclusions and New Directions for Macrofinance 303
22.1 Summary of conceptual issues 303
22.2 The roadmap for an integrated contingent claims analysis-macroeconomic
Model 306
Reference 309
Appendix A Mundell-Fleming with a Risk Premium 311
A. 1 The model 311
A. 2 Equilibrium 315
A. 3 Monetary and fiscal policy 317
A. 4 Summary 321
References 322
Index 323

Rezensionen

"...compelling" (Risk, November 2008)