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LEADER 20817cam a2203829 a 4500
001
991000869189707546
005
20220623173017.0
008
101019s2011 njua b 001 0 eng d
010
a| 2010043485
020
a| 9780470481806 (hardback)
020
a| 0470481803 (hardback)
035
a| (HKSYU)b13977398-852hksyu_inst
040
a| DLC
c| DLC
d| YDX
d| YDXCP
d| HUA
d| NhCcYME
d| HK-SYU
042
a| pcc
050
4
a| HD61
b| .M256 2011
082
0
0
a| 332
2| 22
092
0
a| 332
b| MAL 2011
100
1
a| Malz, Allan M.
245
1
0
a| Financial risk management :
b| models, history, and institutions /
c| Allan M. Malz.
260
a| Hoboken, N.J. :
b| Wiley,
c| c2011.
300
a| xxiii, 722 p. :
b| ill. ;
c| 24 cm.
490
1
a| Wiley finance series
504
a| Includes bibliographical references and index.
520
a| "An in-depth look at the tools and techniques professionals use to address financial risksRisk and uncertainty, as Allan Malz explains in his ground-breaking new book, are two completely different concepts. Risk is a quantifiable uncertainty that can be modeled, while uncertainty defines non-quantifiable outcomes that are not always known. Part art and part science, the study of risk remains a relatively new discipline in finance and economics that continues to be refined. Financial crisis, rather than destroying the need for risk management, has given even great nuance and meaning to what risks exist and can be managed and controlled, and a taxonomy of new risks that need to be explored in ever more meaningful ways. This definitive guide on financial risk Explores all the tools and techniques needed to cope with risk Addresses state of the art approaches to modeling and managing risks Investigates stress tests in periods of heightened uncertainty, and the impact that variables such as liquidity and correlations can have on risk mitigation Provides practicing risk professionals with useful rules of thumb, intuitions, and insights gleaned from Malz's entire career as risk researcher, chief risk officer, and financial market regulator outside his classroom at Columbia University Informative and engaging, this book will help you understand why risk has become its own essential discipline on Wall Street and beyond"--
c| Provided by publisher.
520
a| Financial risk has become a focus of financial and nonfinancial firms, individuals, and policy makers. But the study of risk remains a relatively new discipline in finance and continues to be refined. The financial market crisis that began in 2007 has highlighted the challenges of managing financial risk. Now, in Financial Risk Management, author Allan Malz addresses the essential issues surrounding this discipline, sharing his extensive career experiences as a risk researcher, risk manager, and central banker. The book includes standard risk measurement models as well as alternative models that address options, structured credit risks, and the real-world complexities of risk modeling, and provides the institutional and historical background on financial innovation, liquidity, leverage, and financial crises that is crucial to practitioners and students of finance for understanding the world today. --
520
a| Financial Risk Management is equally suitable for firm risk managers, economists, and policy makers seeking grounding in the subject. This timely guide skillfully surveys the landscape of financial risk and the financial developments of recent decades that culminated in the crisis. The book provides a comprehensive overview of the different types of financial risk, as well as the techniques used to measure and manage them. Topics covered include: --
520
a| Market risk, from Value-at-Risk (VaR) to risk models for options --
520
a| Credit risk, from portfolio credit risk to structured credit products --
520
a| Model risk and validation --
520
a| Risk capital and stress testing --
520
a| Liquidity risk, leverage, systemic risk, and the forms they take --
520
a| Financial crises, historical and current, and their causes and characteristics --
520
a| Financial regulation and its evolution in the wake of the global crisis --Book Jacket.
650
0
a| Financial risk management.
830
0
a| Wiley finance series.
907
a| b13977398
b| 08-01-22
c| 21-03-13
910
a| nlw
b| df
935
a| (HK-SYU)590083990
9| ExL
970
0
1
t| List of Figures
p| xvii
970
0
1
t| Preface
p| xxi
970
0
1
l| ch. 1
t| Financial Risk le a Crisis-Prow World
p| 1
970
1
1
l| 1.1.
t| Some History: Why Is Risk a Separate Discipline Today?
p| 1
970
1
1
l| 1.1.1.
t| The Financial Industry Since the 1960's
p| 2
970
1
1
l| 1.1.2.
t| The "Shadow Banking System"
p| 9
970
1
1
l| 1.1.3.
t| Changes in Public Policy Toward the Financial System
p| 15
970
1
1
l| 1.1.4.
t| The Rise of Large Capital Pools
p| 17
970
1
1
l| 1.1.5.
t| Macroeconomic Developments Since the 1960's: From the Unraveling of Bretton Woods to the Great Moderation
p| 20
970
1
1
l| 1.2.
t| The Scope of Financial Risk
p| 34
970
1
1
l| 1.2.1.
t| Risk Management in Other Fields
p| 34
970
1
1
t| Further Reading
p| 41
970
0
1
l| ch. 2
t| Mint Risk Basics
p| 43
970
1
1
l| 2.1.
t| Arithmetic, Geometric, and Logarithmic Security Returns
p| 44
970
1
1
l| 2.2.
t| Risk and Securities Prices: The Standard Asset Pricing Model
p| 49
970
1
1
l| 2.2.1.
t| Defining Risk: States, Security Payoffs, and Preferences
p| 50
970
1
1
l| 2.2.2.
t| Optimal Portfolio Selection
p| 54
970
1
1
l| 2.2.3.
t| Equilibrium Asset Prices and Returns
p| 56
970
1
1
l| 2.2.4.
t| Risk-Neutral Probabilities
p| 61
970
1
1
l| 2.3.
t| The Standard Asset Distribution Model
p| 63
970
1
1
l| 2.3.1.
t| Random Walks and Wiener Processes
p| 64
970
1
1
l| 2.3.2.
t| Geometric Brownian Motion
p| 71
970
1
1
l| 2.3.3.
t| Asset Return Volatility
p| 74
970
1
1
l| 2.4.
t| Portfolio Risk in the Standard Model
p| 75
970
1
1
l| 2.4.1.
t| Beta and Market Risk
p| 76
970
1
1
l| 2.4.2.
t| Diversification
p| 82
970
1
1
l| 2.4.3.
t| Efficiency
p| 85
970
1
1
l| 2.5.
t| Benchmark Interest Rates
p| 88
970
1
1
t| Further Reading
p| 91
970
0
1
l| ch. 3
t| Value-at-Risk
p| 93
970
1
1
l| 3.1.
t| Definition of Value-at-Risk
p| 94
970
1
1
l| 3.1.1.
t| The User-Defined Parameters
p| 97
970
1
1
l| 3.1.2.
t| Steps in Computing VaR
p| 98
970
1
1
l| 3.2.
t| Volatility Estimation
p| 99
970
1
1
l| 3.2.1.
t| Short-Term Conditional Volatility Estimation
p| 99
970
1
1
l| 3.2.2.
t| The EWMA Model
p| 104
970
1
1
l| 3.2.3.
t| The GARCH Model
p| 106
970
1
1
l| 3.3.
t| Modes Of Computation
p| 108
970
1
1
l| 3.3.1.
t| Parametric
p| 108
970
1
1
l| 3.3.2.
t| Monte Carlo Simulation
p| 109
970
1
1
l| 3.3.3.
t| Historical Simulation
p| 111
970
1
1
l| 3.4.
t| Short Positions
p| 113
970
1
1
l| 3.5.
t| Expected Shortfall
p| 114
970
1
1
t| Further Reading
p| 116
970
0
1
l| ch. 4
t| Nonlinear Risks and the Treatment of Bonds and Options
p| 118
970
1
1
l| 4.1.
t| Nonlinear Risk Measurement and Options
p| 121
970
1
1
l| 4.1.1.
t| Nonlinearity and VaR
p| 123
970
1
1
l| 4.1.2.
t| Simulation for Nonlinear Exposures
p| 126
970
1
1
l| 4.1.3.
t| Delta-Gamma for Options
p| 127
970
1
1
l| 4.1.4.
t| The Delta-Gamma Approach for General Exposures
p| 134
970
1
1
l| 4.2.
t| Yield Curve Risk
p| 136
970
1
1
l| 4.2.1.
t| The Term Structure of Interest Rates
p| 138
970
1
1
l| 4.2.2.
t| Estimating Yield Curves
p| 141
970
1
1
l| 4.2.3.
t| Coupon Bonds
p| 144
970
1
1
l| 4.3.
t| VaR for Default-Free Fixed Income Securities Using The Duration and Convexity Mapping
p| 148
970
1
1
l| 4.3.1.
t| Duration
p| 149
970
1
1
l| 4.3.2.
t| Interest-Rate Volatility and Bond Price Volatility
p| 150
970
1
1
l| 4.3.3.
t| Duration-Only VaR
p| 152
970
1
1
l| 4.3.4.
t| Convexity
p| 154
970
1
1
l| 4.3.5.
t| VaR Using Duration and Convexity
p| 155
970
1
1
t| Further Reading
p| 156
970
0
1
l| ch. 5
t| Portfolio VaR for Market Risk
p| 159
970
1
1
l| 5.1.
t| The Covariance and Correlation Matrices
p| 160
970
1
1
l| 5.2.
t| Mapping and Treatment of Bonds and Options
p| 162
970
1
1
l| 5.3.
t| Delta-Normal VaR
p| 163
970
1
1
l| 5.3.1.
t| The Delta-Normal Approach for a Single Position Exposed to a Single Risk Factor
p| 164
970
1
1
l| 5.3.2.
t| The Delta-Normal Approach for a Single Position Exposed to Several Risk Factors
p| 166
970
1
1
l| 5.3.3.
t| The Delta-Normal Approach for a Portfolio of Securities
p| 168
970
1
1
l| 5.4.
t| Portfolio VAR via Monte Carlo simulation
p| 174
970
1
1
l| 5.5.
t| Option Vega Risk
p| 175
970
1
1
l| 5.5.1.
t| Vega Risk and the Black-Scholes Anomalies
p| 176
970
1
1
l| 5.5.2.
t| The Option Implied Volatility Surface
p| 180
970
1
1
l| 5.5.3.
t| Measuring Vega Risk
p| 183
970
1
1
t| Further Reading
p| 190
970
0
1
l| ch. 6
t| Credit and Counterparty Risk
p| 191
970
1
1
l| 6.1.
t| Defining Credit Risk
p| 192
970
1
1
l| 6.2.
t| Credit-Risky Securities
p| 193
970
1
1
l| 6.2.1.
t| The Economic Balance Sheet of the Firm
p| 193
970
1
1
l| 6.2.2.
t| Capital Structure
p| 194
970
1
1
l| 6.2.3.
t| Security, Collateral, and Priority
p| 195
970
1
1
l| 6.2.4.
t| Credit Derivatives
p| 196
970
1
1
l| 6.3.
t| Transaction Cost Problems in Credit Contracts
p| 196
970
1
1
l| 6.4.
t| Default and Recovery: Analytic Concepts
p| 199
970
1
1
l| 6.4.1.
t| Default
p| 199
970
1
1
l| 6.4.2.
t| Probability of Default
p| 200
970
1
1
l| 6.4.3.
t| Credit Exposure
p| 201
970
1
1
l| 6.4.4.
t| Loss Given Default
p| 201
970
1
1
l| 6.4.5.
t| Expected Loss
p| 202
970
1
1
l| 6.4.6.
t| Credit Risk and Market Risk
p| 204
970
1
1
l| 6.5.
t| Assessing creditworthiness
p| 204
970
1
1
l| 6.5.1.
t| Credit Ratings and Rating Migration
p| 204
970
1
1
l| 6.5.2.
t| Internal Ratings
p| 207
970
1
1
l| 6.5.3.
t| Credit Risk Models
p| 207
970
1
1
l| 6.6.
t| Counterparty Risk
p| 207
970
1
1
l| 6.6.1.
t| Netting and Clearinghouses
p| 209
970
1
1
l| 6.6.2.
t| Measuring Counterparty Risk for Derivatives Positions
p| 209
970
1
1
l| 6.6.3.
t| Double Default Risk
p| 211
970
1
1
l| 6.6.4.
t| Custodial Risk
p| 211
970
1
1
l| 6.6.5.
t| Mitigation of Counterparty Risk
p| 212
970
1
1
l| 6.7.
t| The Merton model
p| 213
970
1
1
l| 6.8.
t| Credit Factor Models
p| 222
970
1
1
l| 6.9.
t| Credit Risk Measures
p| 226
970
1
1
l| 6.9.1.
t| Expected and Unexpected Loss
p| 228
970
1
1
l| 6.9.2.
t| Jump-to-Default Risk
p| 229
970
1
1
t| Further Reading
p| 229
970
0
1
l| ch. 7
t| Spread Risk and Default Intensity Models
p| 281
970
1
1
l| 7.1.
t| Credit Spreads
p| 231
970
1
1
l| 7.1.1.
t| Spread Mark-to-Market
p| 233
970
1
1
l| 7.2.
t| Default Curve Analytics
p| 235
970
1
1
l| 7.2.1.
t| The Hazard Rate
p| 237
970
1
1
l| 7.2.2.
t| Default Time Distribution Function
p| 239
970
1
1
l| 7.2.3.
t| Default Time Density Function
p| 239
970
1
1
l| 7.2.4.
t| Conditional Default Probability
p| 240
970
1
1
l| 7.3.
t| Risk-Neutral Estimates of Default Probabilities
p| 241
970
1
1
l| 7.3.1.
t| Basic Analytics of Risk-Neutral Default Rates
p| 242
970
1
1
l| 7.3.2.
t| Time Scaling of Default Probabilities
p| 245
970
1
1
l| 7.3.3.
t| Credit Default Swaps
p| 246
970
1
1
l| 7.3.4.
t| Building Default Probability Curves
p| 250
970
1
1
l| 7.3.5.
t| The Slope of Default Probability Curves
p| 259
970
1
1
l| 7.4.
t| Spread Risk
p| 261
970
1
1
l| 7.4.1.
t| Mark-to-Market of a CDS
p| 261
970
1
1
l| 7.4.2.
t| Spread Volatility
p| 262
970
1
1
t| Further Reading
p| 264
970
0
1
l| ch. 8
t| Portfolio Credit Risk
p| 265
970
1
1
l| 8.1.
t| Default Correlation
p| 266
970
1
1
l| 8.1.1.
t| Defining Default Correlation
p| 266
970
1
1
l| 8.1.2.
t| The Order of Magnitude of Default Correlation
p| 270
970
1
1
l| 8.2.
t| Credit Portfolio Risk Measurement
p| 270
970
1
1
l| 8.2.1.
t| Granularity and Portfolio Credit Value-at-Risk
p| 270
970
1
1
l| 8.3.
t| Default Distributions and Credit VaR with the Single-Factor Model
p| 275
970
1
1
l| 8.3.1.
t| Conditional Default Distributions
p| 275
970
1
1
l| 8.3.2.
t| Asset and Default Correlation
p| 279
970
1
1
l| 8.3.3.
t| Credit VaR Using the Single-Factor Model
p| 281
970
1
1
l| 8.4.
t| Using Simulation and Copulas to Estimate Portfolio Credit Risk
p| 284
970
1
1
l| 8.4.1.
t| Simulating Single-Credit Risk
p| 286
970
1
1
l| 8.4.2.
t| Simulating Joint Defaults with a Copula
p| 288
970
1
1
t| Further Reading
p| 295
970
0
1
l| ch. 9
t| Structured Credit Risk
p| 297
970
1
1
l| 9.1.
t| Structured Credit Basics
p| 297
970
1
1
l| 9.1.1.
t| Capital Structure and Credit Losses in a Securitization
p| 301
970
1
1
l| 9.1.2.
t| Waterfall
p| 305
970
1
1
l| 9.1.3.
t| Issuance Process
p| 307
970
1
1
l| 9.2.
t| Credit Scenario Analysis of a Securitization
p| 309
970
1
1
l| 9.2.1.
t| Tracking the Interim Cash Flows
p| 309
970
1
1
l| 9.2.2.
t| Tracking the Final-Year Cash Flows
p| 314
970
1
1
l| 9.3.
t| Measuring Structured Credit Risk via Simulation
p| 318
970
1
1
l| 9.3.1.
t| The Simulation Procedure and the Role of Correlation
p| 318
970
1
1
l| 9.3.2.
t| Means of the Distributions
p| 323
970
1
1
l| 9.3.3.
t| Distribution of Losses and Credit VaR
p| 327
970
1
1
l| 9.3.4.
t| Default Sensitivities of the Tranches
p| 333
970
1
1
l| 9.3.5.
t| Summary of Tranche Risks
p| 336
970
1
1
l| 9.4.
t| Standard Tranches and Implied Credit Correlation
p| 337
970
1
1
l| 9.4.1.
t| Credit Index Default Swaps and Standard Tranches
p| 338
970
1
1
l| 9.4.2.
t| Implied Correlation
p| 340
970
1
1
l| 9.4.3.
t| Summary of Default Correlation Concepts
p| 341
970
1
1
l| 9.5.
t| Issuer and Investor Motivations for Structured Credit
p| 342
970
1
1
l| 9.5.1.
t| Incentives of Issuers
p| 343
970
1
1
l| 9.5.2.
t| Incentives of Investors
p| 345
970
1
1
t| Further Reading
p| 346
970
0
1
l| ch. 10
t| Alternatives to the Standard Market Risk Model
p| 340
970
1
1
l| 10.1.
t| Real-World Asset Price Behavior
p| 349
970
1
1
l| 10.2.
t| Alternative Modeling Approaches
p| 363
970
1
1
l| 10.2.1.
t| Jump-Diffusion Models
p| 363
970
1
1
l| 10.2.2.
t| Extreme Value Theory
p| 365
970
1
1
l| 10.3.
t| The Evidence on Non-Normality in Derivatives Prices
p| 372
970
1
1
l| 10.3.1.
t| Option-Based Risk-Neutral Distributions
p| 372
970
1
1
l| 10.3.2.
t| Risk-Neutral Asset Price Probability Distributions
p| 380
970
1
1
l| 10.3.3.
t| Implied Correlations
p| 387
970
1
1
t| Further Reading
p| 390
970
0
1
l| ch. 11
t| Assessing the Quality of Risk Measures
p| 393
970
1
1
l| 11.1.
t| Model Risk
p| 393
970
1
1
l| 11.1.1.
t| Valuation Risk
p| 395
970
1
1
l| 11.1.2.
t| Variability of VaR Estimates
p| 395
970
1
1
l| 11.1.3.
t| Mapping Issues
p| 397
970
1
1
l| 11.1.4.
t| Case Study: The 2005 Credit Correlation Episode
p| 399
970
1
1
l| 11.1.5.
t| Case Study: Subprime Default Models
p| 405
970
1
1
l| 11.2.
t| Backtesting of VaR
p| 407
970
1
1
l| 11.3.
t| Coherence of VaR Estimates
p| 414
970
1
1
t| Further Reading
p| 419
970
0
1
l| ch. 12
t| Liquidity and Leverage
p| 421
970
1
1
l| 12.1.
t| Funding Liquidity Risk
p| 422
970
1
1
l| 12.1.1.
t| Maturity Transformation
p| 422
970
1
1
l| 12.1.2.
t| Liquidity Transformation
p| 423
970
1
1
l| 12.1.3.
t| Bank Liquidity
p| 425
970
1
1
l| 12.1.4.
t| Structured Credit and Off-Balance-Sheet Funding
p| 429
970
1
1
l| 12.1.5.
t| Funding Liquidity of Other Intermediaries
p| 432
970
1
1
l| 12.1.6.
t| Systematic Funding Liquidity Risk
p| 434
970
1
1
l| 12.2.
t| Markets for Collateral
p| 437
970
1
1
l| 12.2.1.
t| Structure of Markets for Collateral
p| 438
970
1
1
l| 12.2.2.
t| Economic Function of Markets for Collateral
p| 441
970
1
1
l| 12.2.3.
t| Prime Brokerage and Hedge Funds
p| 443
970
1
1
l| 12.2.4.
t| Risks in Markets for Collateral
p| 445
970
1
1
l| 12.3.
t| Leverage and Forms of Credit in Contemporary Finance
p| 448
970
1
1
l| 12.3.1.
t| Defining and Measuring Leverage
p| 448
970
1
1
l| 12.3.2.
t| Margin Loans and Leverage
p| 454
970
1
1
l| 12.3.3.
t| Short Positions
p| 455
970
1
1
l| 12.3.4.
t| Derivatives
p| 456
970
1
1
l| 12.3.5.
t| Structured Credit
p| 460
970
1
1
l| 12.3.6.
t| Asset Volatility and Leverage
p| 460
970
1
1
l| 12.4.
t| Transactions Liquidity Risk
p| 461
970
1
1
l| 12.4.1.
t| Causes of Transactions Liquidity Risk
p| 461
970
1
1
l| 12.4.2.
t| Characteristics of Market Liquidity
p| 463
970
1
1
l| 12.5.
t| Liquidity Risk Measurement
p| 464
970
1
1
l| 12.5.1.
t| Measuring Funding Liquidity Risk
p| 464
970
1
1
l| 12.5.2.
t| Measuring Transactions Liquidity Risk
p| 466
970
1
1
l| 12.6.
t| Liquidity and Systemic Risk
p| 469
970
1
1
l| 12.6.1.
t| Funding Liquidity and Solvency
p| 469
970
1
1
l| 12.6.2.
t| Funding and Market Liquidity
p| 471
970
1
1
l| 12.6.3.
t| Systemic Risk and the "Plumbing"
p| 471
970
1
1
l| 12.6.4.
t| "Interconnectedness"
p| 473
970
1
1
t| Further Reading
p| 474
970
0
1
l| ch. 13
t| Risk Control and Mitigation
p| 477
970
1
1
l| 13.1.
t| Defining Risk Capital
p| 478
970
1
1
l| 13.2.
t| Risk Contributions
p| 480
970
1
1
l| 13.2.1.
t| Risk Contributions in a Long-Only Portfolio
p| 481
970
1
1
l| 13.2.2.
t| Risk Contributions Using Delta Equivalents
p| 485
970
1
1
l| 13.2.3.
t| Risk Capital Measurement for Quantitative Strategies
p| 490
970
1
1
l| 13.3.
t| Stress Testing
p| 499
970
1
1
l| 13.3.1.
t| An Example of Stress Testing
p| 501
970
1
1
l| 13.3.2.
t| Types of Stress Tests
p| 504
970
1
1
l| 13.4.
t| Sizing Positions
p| 506
970
1
1
l| 13.4.1.
t| Diversification
p| 506
970
1
1
l| 13.4.2.
t| Optimization and Implied Views
p| 507
970
1
1
l| 13.5.
t| Risk Reporting
p| 509
970
1
1
l| 13.6.
t| Hedging and Basis Risk
p| 512
970
1
1
t| Further Reading
p| 516
970
0
1
l| ch. 14
t| Financial Crises
p| 517
970
1
1
l| 14.1.
t| Panics, Runs, and Crashes
p| 519
970
1
1
l| 14.1.1.
t| Monetary and Credit Contraction
p| 519
970
1
1
l| 14.1.2.
t| Panics
p| 528
970
1
1
l| 14.1.3.
t| Rising Insolvencies
p| 535
970
1
1
l| 14.1.4.
t| Impairment of Market Functioning
p| 537
970
1
1
l| 14.2.
t| Self-Reinforcing Mechanisms
p| 539
970
1
1
l| 14.2.1.
t| Net Worth and Asset Price Declines
p| 540
970
1
1
l| 14.2.2.
t| Collateral Devaluation
p| 542
970
1
1
l| 14.2.3.
t| Risk Triggers
p| 543
970
1
1
l| 14.2.4.
t| Accounting Triggers
p| 547
970
1
1
l| 14.3.
t| Behavior of Asset Prices During Crises
p| 548
970
1
1
l| 14.3.1.
t| Credit Spreads
p| 549
970
1
1
l| 14.3.2.
t| Extreme Volatility
p| 551
970
1
1
l| 14.3.3.
t| Correlations
p| 556
970
1
1
l| 14.4.
t| Causes of Financial Crises
p| 562
970
1
1
l| 14.4.1.
t| Debt, International Payments, and Crises
p| 563
970
1
1
l| 14.4.2.
t| Interest Rates and Credit Expansion
p| 570
970
1
1
l| 14.4.3.
t| Procyclicality: Financial Causes of Crises
p| 575
970
1
1
l| 14.4.4.
t| Models of Bubbles and Crashes
p| 578
970
1
1
l| 14.5.
t| Anticipating Financial Crises
p| 583
970
1
1
l| 14.5.1.
t| Identifying Financial Fragility
p| 583
970
1
1
l| 14.5.2.
t| Macroeconomic Predictors of Financial Crises
p| 585
970
1
1
l| 14.5.3.
t| Asset-Price Predictors of Financial Crises
p| 585
970
1
1
t| Further Reading
p| 591
970
0
1
l| ch. 15
t| Financial Regulation
p| 597
970
1
1
l| 15.1.
t| Scope and Structure of Regulation
p| 598
970
1
1
l| 15.1.1.
t| The Rationale of Regulation
p| 598
970
1
1
l| 15.1.2.
t| Regulatory Authorities
p| 601
970
1
1
l| 15.2.
t| Methods of Regulation
p| 605
970
1
1
l| 15.2.1.
t| Deposit Insurance
p| 606
970
1
1
l| 15.2.2.
t| Capital Standards
p| 608
970
1
1
l| 15.2.3.
t| Bank Examinations and Resolution
p| 619
970
1
1
l| 15.3.
t| Public Policy Toward Financial Crises
p| 621
970
1
1
l| 15.3.1.
t| Financial Stability Policies
p| 621
970
1
1
l| 15.3.2.
t| Lender of Last Resort
p| 628
970
1
1
l| 15.4.
t| Pitfalls in Regulation
p| 635
970
1
1
l| 15.4.1.
t| Moral Hazard and Risk Shifting
p| 636
970
1
1
l| 15.4.2.
t| Regulatory Evasion
p| 643
970
1
1
l| 15.4.3.
t| Unintended Consequences
p| 645
970
1
1
t| Further Reading
p| 647
970
0
1
t| Appendix A Technical Notes
p| 858
970
1
1
l| A.1.
t| Binomial Distribution
p| 653
970
1
1
l| A.2.
t| Quantiles and Quantile Transformations
p| 654
970
1
1
l| A.3.
t| Normal and Lognormal Distributions
p| 656
970
1
1
l| A.3.1.
t| Relationship between Asset Price Levels and Returns
p| 656
970
1
1
l| A.3.2.
t| The Black-Scholes Distribution Function
p| 657
970
1
1
l| A.4.
t| Hypothesis Testing
p| 661
970
1
1
l| A.5.
t| Monte Carlo Simulation
p| 662
970
1
1
l| A.5.1.
t| Fooled by Nonrandomness: Random Variable Generation
p| 663
970
1
1
l| A.5.2.
t| Generating Nonuniform Random Variates
p| 664
970
1
1
l| A.6.
t| Homogeneous Functions
p| 664
970
1
1
t| Further Reading
p| 666
970
0
1
t| Appendix B Abbreviations
p| 887
970
0
1
t| Appendix C References
p| 871
970
0
1
t| Index
p| 701
998
a| book
b| 23-03-13
c| m
d| a
e| -
f| eng
g| nju
h| 0
i| 0
945
h| Supplement
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| FIN423