Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2018

von: Marco Corazza, María Durbán, Aurea Grané, Cira Perna, Marilena Sibillo

Springer-Verlag, 2018

ISBN: 9783319898247 , 465 Seiten

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Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2018


 

Preface

5

Contents

6

About the Editors

13

The Effect of Rating Contingent Guidelines and Regulation Around Credit Rating News

15

1 Introduction

15

2 Rating-Based Investment Guidelines

16

3 Data and Analysis Implementation

17

4 Results

19

5 Concluding Remarks

19

References

19

Practical Problems with Tests of Cointegration Rank with Strong Persistence and Heavy-Tailed Errors

20

1 Introduction

20

2 Power of Tests in the Heteroskedastic VAR Model with Heavy-Tailed Errors

21

3 Empirical Results

23

4 Conclusions

23

References

24

Inference in a Non-Homogeneous Vasicek Type Model

25

1 Introduction and Background

25

2 The Model

26

3 Fitting the Model

27

4 A Simulation Study

27

References

28

Small Sample Analysis in Diffusion Processes: A Simulation Study

30

1 Introduction

30

2 ML Estimation and Bootstrap Correction

31

3 Simulation Experiment and Results

32

References

34

Using Deepest Dependency Paths to Enhance Life ExpectancyEstimation

35

1 Introduction

35

2 Methodology

36

3 Results

38

References

41

The Optimal Investment and Consumption for Financial Markets Generated by the Spread of Risky Assets for the Power Utility

42

1 Market Model

42

2 Stochastic Programming Method

43

3 Main Results

45

References

46

Combining Multivariate Volatility Models

47

1 Introduction

47

2 MCS Combination Strategy

48

3 Empirical Analysis

49

References

50

Automatic Detection and Imputation of Outliers in Electricity Price Time Series

52

1 Introduction

52

2 Time Series Outlier Detection and Imputation

53

3 Results and Discussion

54

References

56

Bayesian Factorization Machines for Risk Management and Robust Decision Making

57

1 Introduction

57

2 Prediction

58

3 Multiobjective Optimization

60

References

60

Improving Lee-Carter Forecasting: Methodology and Some Results

62

1 Introduction and Literature

62

2 Mathematical Framework and Empirical Methodology

63

3 Graphical Assessment of the Predictive Accuracy of the ``mLC'' Model

64

4 Concluding Remarks

65

References

66

The Bank Tailored Integrated Rating

67

1 Motivation and Methodology

67

2 Stylized Mathematical Approach

68

3 Summaries and Future Developments

69

Appendix

70

References

71

A Single Factor Model for Constructing Dynamic Life Tables

72

1 Single Factor Model

72

1.1 Adjusting a Sensitivity Function to bx,x*

73

1.2 Forecasting Mortality Rates

74

2 Lee-Carter (1992) Model

74

3 Comparison Between the Single Factor Model and the Lee-Carter Model

75

References

76

Variable Annuities with State-Dependent Fees

77

1 Introduction

77

2 The Structure of the Contract

78

3 Valuation Framework

79

3.1 The Static Approach

79

3.2 The Mixed Approach

80

4 Numerical Implementation

80

References

82

Dynamic Policyholder Behavior and Surrender Option Evaluation for Life Insurance

83

1 Introduction

83

2 A Model for the Lapse Rate Estimation According to Policyholder Behavior

84

2.1 Step 1

85

2.2 Step 2

85

3 Some Numerical Results

86

References

87

Classification Ratemaking via Quantile Regression and a Comparison with Generalized Linear Models

88

1 Introduction

88

2 A Quantile Premium Principle Based on a Two-Part Model

89

2.1 The Two Part Model for the Individual Risk Model

89

2.2 A Quantile Premium Principle Based on a Two-Part Model

90

3 Simulation Study

91

References

92

An Empirical Analysis of the Lead Lag Relationship Between CDS and Stock Market

93

1 Introduction

93

2 Data and Methodology

94

3 Results

94

4 Conclusions

96

References

96

Integration of Non-financial Criteria in Equity Investment

97

1 Introduction

97

2 Including Non-financial Criteria

98

3 Constrained Tracking Error Approach

99

4 Conclusion

100

References

100

A Generalized Moving Average Convergence/Divergence for Testing Semi-strong Market Efficiency

101

1 Introduction

101

2 The Proposed Indicator

102

3 Nonparametric Bootstrap Test

103

3.1 Simulations

104

4 Empirical Test Results

104

References

105

Periodic Autoregressive Models with Multiple Structural Changes by Genetic Algorithms

106

1 Model Description and Estimation

106

2 Application and Conclusions

108

References

109

Mortality Projection Using Bayesian Model Averaging

110

1 Introduction

110

2 The Bayesian Model Averaging (BMA)

111

3 Mortality Projection Applying BMA

111

4 Final Remarks

113

References

113

Robust Time-Varying Undirected Graphs

115

1 Introduction

115

2 Methodology

116

3 Algorithm

117

4 Simulation Study

118

References

118

Two-Sided Skew and Shape Dynamic Conditional Score Models

119

1 Introduction

119

2 Two-Sided Skew and Shape Distribution

120

3 2SSS Dynamic Conditional Score Model

121

References

122

Sparse Networks Through Regularised Regressions

123

1 Introduction

123

2 The Model

124

2.1 Spike-and-Slab EM

124

3 Application to Network Analysis

126

References

126

Approximate EM Algorithm for Sparse Estimation of Multivariate Location–Scale Mixture of Normals

127

1 Introduction

127

2 Multivariate Model Specifications

128

3 Parameters Estimation via FFT–EM Algorithm

129

4 Portfolio Application

130

References

130

An Extension of Multidimensional Scaling to Several Distance Matrices, and Its Application to the Italian Banking Sector

131

1 Introduction

131

2 Method

132

3 Analysis

133

References

134

Disagreement in Signed Financial Networks

136

1 Introduction

136

2 Disagreement in Unsigned Directed Network

137

3 The Lifted Dynamics and Disagreement in Signed Networks

138

References

139

Bayesian Tensor Binary Regression

140

1 Bayesian Markov Switching Binary Tensor Regression Model

140

2 Bayesian Inference

141

3 Simulation and Application

142

4 Conclusions

144

References

144

Bayesian Tensor Regression Models

145

1 Bayesian Tensor Regression Model

145

2 Bayesian Inference

146

3 Simulation and Application

147

4 Conclusions

149

References

149

Bayesian Nonparametric Sparse Vector Autoregressive Models

150

1 Introduction

150

2 The Vector Autoregressive model

151

3 Bayesian Nonparametric Sparse VAR

152

4 Simulation Results

153

5 Conclusions

155

References

155

Logistic Classification for New Policyholders Taking into Account Prediction Error

156

1 Introduction

156

2 Mean Squared Error for New Observations

157

3 Application: Credit Scoring

158

References

160

Conditional Quantile-Located VaR

161

1 Methods

161

2 Empirical Results

163

References

165

Probability of Default Modeling: A Machine Learning Approach

166

1 Introduction

166

2 Methodology

167

2.1 Data Used

168

2.2 Main Results

168

3 Conclusion

169

References

169

Risk/Return Analysis on Credit Exposure: Do Small Banks Really Apply a Pricing Risk-Based on Their Loans?

171

1 Introduction

171

2 Methodology

172

2.1 Data Used

172

2.2 Results

173

3 Conclusion

173

References

176

Life Insurers' Asset-Liability Dependency and Low-Interest Rate Environment

177

1 Introduction

178

2 Data and Methodology

178

3 Empirical Results

179

4 Conclusions

180

References

181

Modelling the Australian Electricity Spot Prices: A VAR-BEKK Approach

182

1 Introduction and Motivation

182

2 Methods and Results

183

References

188

Cyber Risk Management: A New Challenge for ActuarialMathematics

189

1 Introduction

189

2 Peculiarities of Cyber Insurance

190

2.1 Some Recent Results in Economic and Actuarial Literature

191

3 Information Technology for Cyber Insurance

191

References

192

Predicting the Volatility of Cryptocurrency Time-Series

193

1 The Volatility of Cryptocurrencies

193

2 Forecast Analysis and Model Comparison

195

3 Conclusion

196

References

196

A Generalized Error Distribution-Based Method for Conditional Value-at-Risk Evaluation

198

1 Introduction

198

2 The Generalized Error Distribution and the G.E.D. Copula

199

3 The Methodology

200

4 Conclusions

201

References

201

Risk-Return Optimization for Life Insurance Portfolios

202

1 Introduction: The Life Insurance Matching Strategy and Movements of the Term Structure

203

2 Passive Strategy: Minimizing the “Immunization Risk”

203

3 Active Strategy: The Risk-Return Tradeoff Optimization

204

4 Conclusions and Further Developments

206

References

207

When Is Utilitarian Welfare Higher Under Insurance Risk Pooling?

208

1 Outline of Our Approach

208

2 Model Set-Up

209

2.1 Insurance Demand from the Individual Viewpoint

209

2.2 Insurance Demand from the Insurer's Viewpoint

210

2.3 Market Equilibrium and Social Welfare

210

3 Results for Iso-Elastic Demand

211

4 Discussion

212

References

212

The Value of Information for Optimal Portfolio Management

213

1 Introduction

213

2 The Model

214

3 The Full Information Case

215

4 The Partial Information Case

216

5 Conclusion

216

References

217

Risk and Uncertainty for Flexible Retirement Schemes

218

1 Motivation

219

2 The Italian Mortality Experience

219

3 Dealing with Model Uncertainty

219

4 A Flexible Retirement Scheme

220

5 Conclusion and Further Developments

221

References

222

Comparing Possibilistic Portfolios to Probabilistic Ones

223

1 Introduction

223

2 The Theoretical Comparison

225

3 The Empirical Comparison

226

References

227

Some Critical Insights on the Unbiased Efficient Frontier à la Bodnar&Bodnar

228

1 Introduction

228

2 Unbiased Estimator of the Efficient Frontier

229

3 Our Main Results

230

3.1 The Asymptotic Behavior of the Biased Estimator

230

3.2 The ``Strange'' Behavior of the Unbiased Estimator

230

3.3 The Operational Effectiveness of the Unbiased Estimator

231

References

232

Numerical Solution of the Regularized Portfolio Selection Problem

233

1 Introduction

233

2 Regularized Portfolio Selection Model

234

3 Bregman Iteration for Portfolio Selection

235

References

236

Forecasting the Equity Risk Premium in the European MonetaryUnion

237

1 Introduction

237

2 In-Sample Analysis

238

3 Out-of-Sample Analysis

239

4 Asset Allocation

239

5 Summary of Most Important Results

239

References

241

Statistical Learning Algorithms to Forecast the Equity Risk Premium in the European Union

242

1 Introduction

242

2 Methodology

243

2.1 CART Models

243

2.2 Ensemble Models

244

3 The Model

244

3.1 The Data

244

3.2 Out-of-Sample Predictions

246

4 Results

246

References

248

Evaluating Variable Annuities with GMWB When Exogenous Factors Influence the Policy-Holder Withdrawals

249

1 The Framework

249

2 The Evaluation Model

250

3 Numerical Results

251

Reference

253

A Continuous Time Model for Bitcoin Price Dynamics

254

1 Introduction

254

2 The Model

255

3 Risk Neutral Measure and Option Pricing

255

4 A Numerical Example

257

References

258

Forecasting the Volatility of Electricity Prices by Robust Estimation: An Application to the Italian Market

259

1 Introduction

260

2 A Robust SETAR Model for Electricity Prices

260

3 Robust Volatility Estimation Through the Forward Search

261

References

263

``Money Purchase'' Pensions: Contract Proposals and Risk Analysis

264

1 Personal Pension Products

264

2 Variable Annuities with Participating Benefits: Notations and Recalls

265

3 The Demographic Risk Filters

266

References

267

What If Two Different Interest Rates Datasets Allow for Describing the Same Financial Product?

268

1 Introduction

269

2 Discrepancies in the Datasets: Impact on the Volatility Term Structure and on the Interest Rate Projections

269

3 Pricing Derivatives: Two Applicative Cases

270

References

272

An Integrated Approach to Explore the Complexity of Interest Rates Network Structure

273

1 Introduction

273

2 Mathematical Background

274

2.1 Quantile Regression

274

3 A Practical Application

275

4 Conclusion

276

References

277

Estimating Regulatory Capital Requirements for Reverse Mortgages: An International Comparison

278

1 Paper Summary

278

References

281

A Basic Social Pension for Everyone?

282

1 Introduction

282

2 One Basic Social Pension and One Funding Model

283

3 Application

284

4 Conclusions

285

References

286

A Copula-Based Quantile Model

287

1 Introduction

287

2 Modelling and Data

288

3 Conclusions

290

References

291

International Longevity Risk Pooling

292

1 Motivation and Related Literature

292

2 Pooling Metrics and Impact

293

3 Conclusions

295

References

296

A Two-Steps Mixed Pension System: An Aggregate Analysis

297

1 Introduction

298

2 The Two-Steps Mixed System

298

3 Aggregate Perspective

300

4 Concluding Comments on Transition Possibilities

300

References

302

The Influence of Dynamic Risk Aversion in the Optimal PortfolioContext

303

1 Introduction

303

2 Main Results and Findings: The Certainty-Equivalent

305

References

306

Socially Responsible Investment, Should You Bother?

308

1 Introduction

308

2 Relationship Between Socially Responsible Performance and Financial Performance

309

3 Portfolios Composition and Data Sample

310

4 Empirical Analysis

310

5 Conclusion

311

References

312

Measuring Financial Risk Co-movement in Commodity Markets

313

1 Introduction

313

2 Methodology

314

2.1 Selecting a Downside Risk Measure

314

2.2 Constructing Financial Downside Risk Maps with MDS

315

3 Main Results

315

4 Conclusions

316

References

316

Helping Long Term Care Coverage via Differential on Mortality?

317

1 Long Term Care as a Coverage

317

2 Differential on Mortality

318

3 An Application to Spain

319

4 Conclusions

321

References

321

Tuning a Deep Learning Network for Solvency II: Preliminary Results

322

1 Introduction

322

2 Numerical Set-Up

324

3 Results

324

References

325

Exploratory Projection Pursuit for Multivariate Financial Data

327

1 Introduction

327

2 Results

328

References

330

The Rearrangement Algorithm of Puccetti and Rüschendorf: Proving the Convergence

332

1 Introduction

332

2 The Rearrangement Algorithm

333

3 Proof of Convergence

335

References

336

Automatic Balancing Mechanisms in Practice: What Lessons for Pension Policy Makers?

337

1 Introduction

338

2 The US Social Security Fiscal Cliff: Automatic and Rough Adjustment Through Pension Benefits

338

3 The Swedish NDC Experiment: Reinforcing Automatic Adjustment Mechanisms by Introducing an Explicit ABM

339

4 Canada's Second Pillar: An Automatic Adjustment Through Contribution Scattered by the Absence of Political Choice

340

References

341

Empirical Evidence from the Three-Way LC Model

342

1 Introduction

342

2 The Three-Way Lee-Carter Model

343

3 The Analysis and Interpretation of the 3-Way LC Model

344

4 The Advantage of Introducing a Third Way in the Analysis

344

5 The Factorial Representations

345

References

346

Variable Selection in Estimating Bank Default

347

1 Introduction

347

2 Statistical Model

348

3 Screening for High Dimensional GEV Models

349

References

350

Multiple Testing for Different Structures of Spatial Dynamic Panel Data Models

352

1 The SDPD Models

352

2 A Strategy for Testing the Particular Structure of SDPD Models

353

3 Bootstrap Scheme for the Multiple Testing Procedure

354

References

355

Loss Data Analysis with Maximum Entropy

356

1 Introduction

357

2 The Standard Method of Maximum Entropy (SME)

357

3 Examples

358

3.1 Notes and Comments

358

Reference

360

Real-World Versus Risk-Neutral Measures in the Estimation of an Interest Rate Model with Stochastic Volatility

361

1 Introduction

361

2 The Valuation Model

362

3 Results and Approximations

363

4 Empirical Application

364

References

364

Extensions of Fama and French Models

366

1 Introduction and Methodology

366

1.1 Aim

366

1.2 Methodology

366

2 Main Results and Concluding Remarks

367

References

368

The Islamic Financial Industry: Performance of Islamic vs. Conventional Sector Portfolios

369

1 Introduction

369

2 Performance

370

3 Main Results and Concluding Remarks

371

References

373

Do Google Trends Help to Forecast Sovereign Risk in Europe?

374

1 Introduction

374

2 Background Literature

375

3 Data

375

4 Results

376

5 Conclusions

377

References

377

The Contribution of Usage-Based Data Analytics to Benchmark Semi-autonomous Vehicle Insurance

379

1 Introduction

379

2 Data and Methods

380

3 Speed Reduction and Safety

381

4 Conclusions

382

References

382

Some Empirical Evidence on the Need of More Advanced Approaches in Mortality Modeling

384

1 Mortality Models Based on Legendre Polynomials

384

2 Empirical Investigation

386

References

389

Could Machine Learning Predict the Conversion in Motor Business?

390

1 Introduction

390

2 Description of the Data Set

391

3 Machine Learning Models

391

3.1 Generalized Linear Model (GLM)

391

3.2 Classification and Regression Tree (CART)

391

3.3 Random Forest (RF)

392

3.4 Gradient Boosted Tree (BOOST)

392

4 Models Calibration

392

5 Analysis of Results

393

References

394

European Insurers: Interest Rate Risk Management

395

1 Introduction and Methodology

395

1.1 Aim

395

1.2 Data and Methodology

396

2 Main Results and Concluding Remarks

398

References

398

Estimation and Prediction for the Modulated Power Law Process

400

1 Introduction

400

2 Estimation of the MPLP Parameters

401

3 Prediction of the Next Failure Time

403

4 Application to Some Real Data Set

403

References

404

The Level of Mortality in Insured Populations

405

1 Introduction

406

2 Mortality: Current and Future. Solvency II and IFRS 17

406

3 Methodology and Data

407

4 Results and Conclusions

408

References

409

Kurtosis Maximization for Outlier Detection in GARCH Models

411

1 Introduction

411

2 Main Result

412

References

414

Google Searches for Portfolio Management: A Risk and ReturnAnalysis

416

1 Introduction

416

2 Google Trends

417

3 Asset Allocation Based on Google Search Volumes

418

References

420

The Challenges of Wealth and Its Intergenerational Transmission in an Aging Society

421

1 Introduction

421

2 A Present Wealth Situation Which Is Both Massive and Noxious

422

3 `Patrimonialization' Due to Rising Longevity and Other Changes

423

4 Possible Tax or Social Remedies: The Taxfinh Program

424

References

425

Bivariate Functional Archetypoid Analysis: An Application to Financial Time Series

426

1 Introduction

426

2 Data

427

3 Methodology

427

3.1 AA and ADA for (Standard) Multivariate Data

427

3.2 AA and ADA for Functional Data

428

4 Results

428

5 Conclusions

429

References

429

A Note on the Shape of the Probability Weighting Function

430

1 Introduction

430

2 An Application to Premium Calculation

432

References

433

Disability Pensions in Spain: A Factor to Compensate Lifetime Losses

435

1 Pension Systems: The Case of Spain

435

2 The Main Component of Spanish Pensions: Public Non-means-tested Benefit

436

3 Underlying Differences Between the Beneficiaries of a Regular Pension and the Beneficiaries of a Disability Pension

437

4 A Simple Actualisation Factor to Compensate Differences Between the Beneficiaries of a Regular Pension and the Beneficiaries of a Disability Pension

438

References

439

A Minimum Pension for Older People via Expenses Rate

440

1 Introduction

440

2 Long Term Care Problem: Consume Paths

441

3 An Application to Spain

442

4 Conclusion

443

References

443

A Comparative Analysis of Neuro Fuzzy Inference Systems for Mortality Prediction

445

1 Introduction

445

2 Adaptive Neuro Fuzzy Systems

446

3 The Lee Carter Model

446

4 Application to Mortality Dataset

447

5 Conclusions

448

References

448

Financial Networks and Mechanisms of Business Capture in Southern Italy over the First Global Wave (1812–1913): A Network Analysis Approach

450

1 Introduction

450

2 The South of Italy in the 1st Global Wave: Context and Data

451

3 The Evolution of the Role of the Economic Actors in Naples: A Network Approach

452

4 A First Discussion

453

References

454

Modeling High-Frequency Price Data with Bounded-Delay Hawkes Processes

455

1 Introduction

455

2 Beta Delay Hawkes Model

456

3 Experiments

457

4 Conclusion

459

References

459

Pricing Illiquid Assets by Entropy Maximization Through Linear Goal Programming

460

1 Introduction

461

2 Notations and Preliminaries

461

3 The Goal Programming Method

462

4 Conclusions

464

References

464