Advances in Risk Management (Finance and Capital Markets Series)
معرفی کتاب «Advances in Risk Management (Finance and Capital Markets Series)» نوشتهٔ edited by Greg N. Gregoriou، منتشرشده توسط نشر Palgrave Macmillan در سال 2007. این کتاب در فرمت djvu، زبان انگلیسی ارائه شده است.
This important book brings together an edited series of papers about risk management and the latest developments in the field. Covering topics such as Stochastic Volatility, Risk Dynamics and Portfolio Diversification, this book is vital for optimal portfolio allocation for private and institutional investors, and is an indispensable tool. Contents......Page 6 Acknowledgements......Page 12 Notes on the Contributors......Page 13 Introduction......Page 22 1.1 Introduction......Page 26 1.2 Measuring operational risk......Page 28 1.3 The collection threshold......Page 33 1.4 Empirical analysis......Page 36 1.5 Conclusion......Page 41 2.1 Introduction......Page 47 2.2 Risk measure with diversification......Page 49 2.3 Numerical example......Page 56 2.4 Implementation......Page 58 2.5 Pricing portfolio insurance......Page 62 2.6 Conclusion......Page 68 3.1 Introduction......Page 72 3.2 Sensitivity analysis background......Page 75 3.3 Effect of relative weight changes......Page 76 3.4 Importance of portfolio weights in GARCH volatility estimation models......Page 78 3.5 Empirical results: trading strategies through sensitivity analysis......Page 81 3.6 Conclusion......Page 89 4.1 Introduction......Page 94 4.2 The model......Page 95 4.3 Generalized duration and convexity......Page 97 4.4 Hedging ratios......Page 99 4.5 A proposal of a solution for the limitations of the conventional duration......Page 100 4.6 Conclusion......Page 108 5.1 Introduction......Page 111 5.2 Variations on stochastic volatility and conditional volatility......Page 113 5.4 Interest rate term structure models......Page 117 5.5 Methodology......Page 119 5.6 Data and calibration of the Fong and Vasicek model......Page 122 5.7 Simulation......Page 123 5.8 Empirical results......Page 124 5.9 Conclusion......Page 127 6.1 Introduction......Page 132 6.2 The general model......Page 135 6.3 A stochastic volatility model......Page 139 6.4 Simulation study......Page 143 6.5 Conclusion......Page 151 7.1 Introduction......Page 157 7.2 Merton-style models......Page 158 7.3 Intensity-based models......Page 161 7.4 Comparisons between some dependence indicators......Page 164 7.5 Extensions of the basic intensity-based model......Page 168 7.6 Conclusion......Page 175 8.1 Introduction......Page 181 8.2 What are weather derivatives?......Page 182 8.3 Defining risk for weather derivative portfolios......Page 184 8.4 Basic methods for estimating the risk in weather derivative portfolios......Page 185 8.6 Accurate estimation of the correlation matrix......Page 187 8.7 Dealing with non-normality......Page 188 8.8 Estimating model error......Page 189 8.9 Incorporating hedging constraints......Page 190 8.10 Consistency between the valuation of single contracts and portfolios......Page 191 8.12 Estimating VaR......Page 192 8.13 Conclusion......Page 193 9.1 Introduction......Page 195 9.2 Modeling the evolution of an inflation index......Page 196 9.3 Optimal portfolios with inflation linked products......Page 198 9.4 Hedging with inflation linked products......Page 207 9.5 Conclusion......Page 214 10.1 Introduction......Page 216 10.2 From mathematical theory to financial practise......Page 219 10.3 An illustration of model risk......Page 220 10.4 The role of models for derivatives......Page 222 10.5 The model-building process and model risk-creation......Page 224 10.6 What if the model is wrong? a case study......Page 226 10.7 Eleven rules for managing model risk......Page 228 10.8 Conclusion......Page 235 11.1 Introduction......Page 238 11.3 Review of existing methods for backtesting......Page 239 11.4 An extension: the cross-section approach......Page 242 11.5 Applications......Page 244 11.6 Conclusion......Page 249 12.2 Data and descriptive statistics......Page 251 12.3 Correlation jumps and volatility behavior......Page 253 12.5 Conclusion......Page 262 13.1 Introduction......Page 266 13.2 Covariance structure of asset returns and optimal portfolio weights......Page 268 13.3 Multivariate statistical surveillance......Page 271 13.4 Simultaneous statistical surveillance......Page 276 13.5 A comparison of the multivariate and simultaneous control charts......Page 278 13.6 Conclusion......Page 283 14.1 Introduction......Page 290 14.2 Empirical Methodology and Data......Page 292 14.3 Results......Page 295 14.4 Conclusion......Page 301 15.1 Introduction......Page 303 15.2 Systematic risk and the perfect economy......Page 305 15.3 Total risk and the real economy......Page 307 15.4 The NPV probability distribution and the CLT: theoretical results......Page 310 15.5 The NPV probability distribution and the CLT: simulation models and statistical tests......Page 313 15.6 The NPV probability distribution and the CLT: simulation results......Page 314 15.7 Conclusion......Page 318 16.1 Introduction......Page 328 16.2 Data......Page 330 16.3 The econometric approach......Page 334 16.4 Empirical results......Page 337 16.5 Conclusion......Page 346 17.1 Introduction......Page 352 17.2 The econometric framework......Page 354 17.3 Data and preliminary analysis......Page 356 17.4 Results......Page 360 17.5 Asymmetries analysis......Page 367 17.6 Volatility spillovers......Page 370 17.7 Conclusion......Page 373 18.1 Introduction......Page 378 18.2 Model and Mathematical setup......Page 380 18.3 Analytical expression of the total hedging error......Page 382 18.4 Numerical results......Page 384 18.5 Conclusion......Page 388 B......Page 390 C......Page 391 D......Page 392 F......Page 393 I......Page 394 M......Page 395 P......Page 397 S......Page 398 T......Page 399 W......Page 400 Z......Page 401
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This book comprises an edited series of papers about risk management and the latest developments in the field. Covering topics such as Stochastic Volatility, Risk Dynamics, Weather Derivatives and Portfolio Diversification, this book will have broad international appeal. It is highly relevany for optimal portfolio allocation for both private and institutional investors worldwide.