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Getting it wrong : how faulty monetary statistics undermine the Fed, the financial system, and the economy / / William A. Barnett
| Getting it wrong : how faulty monetary statistics undermine the Fed, the financial system, and the economy / / William A. Barnett |
| Autore | Barnett William A |
| Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, ©2012 |
| Descrizione fisica | 1 online resource (357 p.) |
| Disciplina | 332.401/5195 |
| Soggetto topico |
Econometrics
Finance - Mathematical models Financial crises Monetary policy - United States |
| Soggetto non controllato |
ECONOMICS/Macroeconomics
ECONOMICS/Finance |
| ISBN |
0-262-30056-7
1-283-42078-3 9786613420787 0-262-30134-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Foreword: Macroeconomics as a Science; Preface; Acknowledgments; I. The Facts without the Math; 1. Introduction; 1.1 Whose Greed?; 1.2 The Great Moderation; 1.3 The Maestro; 1.4 Paradoxes; 1.5 Conclusion; 2. Monetary Aggregation Theory; 2.1 Adding Apples and Oranges; 2.2 Dual Price Aggregation; 2.3 Financial Aggregation; 2.4 The Commerce Department and the Department of Labor; 2.5 The Major Academic Players; 2.6 Banks throughout the World; 2.7 Mechanism Design: Why Is the Fed Getting It Wrong?; 2.8 Conclusion; 3. The History; 3.1 The 1960's and 1970's
3.2 The Monetarist Experiment: October 1979 to September 19823.3 The End of the Monetarist Experiment: 1983 to 1984; 3.4 The Rise of Risk-Adjustment Concerns: 1984 to 1993; 3.5 The Y2K Computer Bug: 1999 to 2000; 3.6 Conclusion; 4. Current Policy Problems; 4.1 European ECB Data; 4.2 The Most Recent Data: Would You Believe This?; 4.3 The Current Crisis; 4.4 Conclusion; 5. Summary and Conclusion; II. Mathematical Appendixes; A. Monetary Aggregation Theory under Perfect Certainty; A.1 Introduction; A.2 Consumer Demand for Monetary Assets; A.3 Supply of Monetary Assets by Financial Intermediaries A.4 Demand for Monetary Assets by Manufacturing Firms A.5 Aggregation Theory under Homogeneity; A.6 Index- Number Theory under Homogeneity; A.7 Aggregation Theory without Homotheticity; A.8 Index- Number Theory under Nonhomogeneity; A.9 Aggregation over Consumers and Firms; A.10 Technical Change; A.11 Value Added; A.12 Macroeconomic and General Equilibrium Theory; A.13 Aggregation Error from Simple- Sum Aggregation; A.14 Conclusion; B. Discounted Capital Stock of Money with Risk Neutrality; B.1 Introduction; B.2 Economic Stock of Money (ESM) under Perfect Foresight; B.3 Extension to Risk B.4 CE and Simple Sum as Special Cases of the ESMB.5 Measurement of the Economic Stock of Money; C. Multilateral Aggregation within a Multicountry Economic Union; C.1 Introduction; C.2 Definition of Variables; C.3 Aggregation within Countries; C.4 Aggregation over Countries; C.5 Special Cases; C.6 Interest Rate Aggregation; C.7 Divisia Second Moments; C.8 Conclusion; D. Extension to Risk Aversion; D.1 Introduction; D.2 Consumer Demand for Monetary Assets; D.3 The Perfect- Certainty Case; D.4 The New Generalized Divisia Index; D.5 The CCAPM Special Case; D.6 The Magnitude of the Adjustment D.7 Intertemporal Nonseparability D.8 Consumer's Nonseparable Optimization Problem; D.9 Extended Risk- Adjusted User Cost of Monetary Assets; D.10 Conclusion; E. The Middle Ground: Understanding Divisia Aggregation; E.1 Introduction; E.2 The Divisia Index; E.3 The Weights; E.4 Is It a Quantity or Price Index?; E.5 Stocks versus Flows; E.6 Conclusion; References; Index |
| Record Nr. | UNINA-9910781517103321 |
Barnett William A
|
||
| Cambridge, Mass., : MIT Press, ©2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Getting it wrong : how faulty monetary statistics undermine the Fed, the financial system, and the economy / / William A. Barnett
| Getting it wrong : how faulty monetary statistics undermine the Fed, the financial system, and the economy / / William A. Barnett |
| Autore | Barnett William A |
| Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, ©2012 |
| Descrizione fisica | 1 online resource (357 p.) |
| Disciplina | 332.401/5195 |
| Soggetto topico |
Econometrics
Finance - Mathematical models Financial crises Monetary policy - United States |
| Soggetto non controllato |
ECONOMICS/Macroeconomics
ECONOMICS/Finance |
| ISBN |
0-262-30056-7
1-283-42078-3 9786613420787 0-262-30134-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Foreword: Macroeconomics as a Science; Preface; Acknowledgments; I. The Facts without the Math; 1. Introduction; 1.1 Whose Greed?; 1.2 The Great Moderation; 1.3 The Maestro; 1.4 Paradoxes; 1.5 Conclusion; 2. Monetary Aggregation Theory; 2.1 Adding Apples and Oranges; 2.2 Dual Price Aggregation; 2.3 Financial Aggregation; 2.4 The Commerce Department and the Department of Labor; 2.5 The Major Academic Players; 2.6 Banks throughout the World; 2.7 Mechanism Design: Why Is the Fed Getting It Wrong?; 2.8 Conclusion; 3. The History; 3.1 The 1960's and 1970's
3.2 The Monetarist Experiment: October 1979 to September 19823.3 The End of the Monetarist Experiment: 1983 to 1984; 3.4 The Rise of Risk-Adjustment Concerns: 1984 to 1993; 3.5 The Y2K Computer Bug: 1999 to 2000; 3.6 Conclusion; 4. Current Policy Problems; 4.1 European ECB Data; 4.2 The Most Recent Data: Would You Believe This?; 4.3 The Current Crisis; 4.4 Conclusion; 5. Summary and Conclusion; II. Mathematical Appendixes; A. Monetary Aggregation Theory under Perfect Certainty; A.1 Introduction; A.2 Consumer Demand for Monetary Assets; A.3 Supply of Monetary Assets by Financial Intermediaries A.4 Demand for Monetary Assets by Manufacturing Firms A.5 Aggregation Theory under Homogeneity; A.6 Index- Number Theory under Homogeneity; A.7 Aggregation Theory without Homotheticity; A.8 Index- Number Theory under Nonhomogeneity; A.9 Aggregation over Consumers and Firms; A.10 Technical Change; A.11 Value Added; A.12 Macroeconomic and General Equilibrium Theory; A.13 Aggregation Error from Simple- Sum Aggregation; A.14 Conclusion; B. Discounted Capital Stock of Money with Risk Neutrality; B.1 Introduction; B.2 Economic Stock of Money (ESM) under Perfect Foresight; B.3 Extension to Risk B.4 CE and Simple Sum as Special Cases of the ESMB.5 Measurement of the Economic Stock of Money; C. Multilateral Aggregation within a Multicountry Economic Union; C.1 Introduction; C.2 Definition of Variables; C.3 Aggregation within Countries; C.4 Aggregation over Countries; C.5 Special Cases; C.6 Interest Rate Aggregation; C.7 Divisia Second Moments; C.8 Conclusion; D. Extension to Risk Aversion; D.1 Introduction; D.2 Consumer Demand for Monetary Assets; D.3 The Perfect- Certainty Case; D.4 The New Generalized Divisia Index; D.5 The CCAPM Special Case; D.6 The Magnitude of the Adjustment D.7 Intertemporal Nonseparability D.8 Consumer's Nonseparable Optimization Problem; D.9 Extended Risk- Adjusted User Cost of Monetary Assets; D.10 Conclusion; E. The Middle Ground: Understanding Divisia Aggregation; E.1 Introduction; E.2 The Divisia Index; E.3 The Weights; E.4 Is It a Quantity or Price Index?; E.5 Stocks versus Flows; E.6 Conclusion; References; Index |
| Record Nr. | UNINA-9910806249503321 |
|
Barnett William A
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||
| Cambridge, Mass., : MIT Press, ©2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics / / Paolo Brandimarte
| Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics / / Paolo Brandimarte |
| Autore | Brandimarte Paolo |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (685 p.) |
| Disciplina | 330.01/518282 |
| Collana | Wiley Handbooks in Financial Engineering and Econometrics |
| Soggetto topico |
Finance - Mathematical models
Economics - Mathematical models Monte Carlo method |
| ISBN |
1-118-59451-7
1-118-59326-X 1-118-59364-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Contents; Preface; Part I Overview and Motivation; 1 Introduction to Monte Carlo Methods; 1.1 Historical origin of Monte Carlo simulation; 1.2 Monte Carlo simulation vs. Monte Carlo sampling; 1.3 System dynamics and the mechanics of Monte Carlo simulation; 1.3.1 Discrete-time models; 1.3.2 Continuous-time models; 1.3.3 Discrete-event models; 1.4 Simulation and optimization; 1.4.1 Nonconvex optimization; 1.4.2 Stochastic optimization; 1.4.3 Stochastic dynamic programming; 1.5 Pitfalls in Monte Carlo simulation; 1.5.1 Technical issues
1.5.2 Philosophical issues1.6 Software tools for Monte Carlo simulation; 1.7 Prerequisites; 1.7.1 Mathematical background; 1.7.2 Financial background; 1.7.3 Technical background; For further reading; References; 2 Numerical Integration Methods; 2.1 Classical quadrature formulas; 2.1.1 The rectangle rule; 2.1.2 Interpolatory quadrature formulas; 2.1.3 An alternative derivation; 2.2 Gaussian quadrature; 2.2.1 Theory of Gaussian quadrature: The role of orthogonal polynomials; 2.2.2 Gaussian quadrature in R; 2.3 Extension to higher dimensions: Product rules 2.4 Alternative approaches for high-dimensional integration2.4.1 Monte Carlo integration; 2.4.2 Low-discrepancy sequences; 2.4.3 Lattice methods; 2.5 Relationship with moment matching; 2.5.1 Binomial lattices; 2.5.2 Scenario generation in stochastic programming; 2.6 Numerical integration in R; For further reading; References; Part II Input Analysis: Modeling and Estimation; 3 Stochastic Modeling in Finance and Economics; 3.1 Introductory examples; 3.1.1 Single-period portfolio optimization and modeling returns; 3.1.2 Consumption-saving with uncertain labor income 3.1.3 Continuous-time models for asset prices and interest rates3.2 Some common probability distributions; 3.2.1 Bernoulli, binomial, and geometric variables; 3.2.2 Exponential and Poisson distributions; 3.2.3 Normal and related distributions; 3.2.4 Beta distribution; 3.2.5 Gamma distribution; 3.2.6 Empirical distributions; 3.3 Multivariate distributions: Covariance and correlation; 3.3.1 Multivariate distributions; 3.3.2 Covariance and Pearson''s correlation; 3.3.3 R functions for covariance and correlation; 3.3.4 Some typical multivariate distributions; 3.4 Modeling dependence with copulas 3.4.1 Kendall''s tau and Spearman''s rho3.4.2 Tail dependence; 3.5 Linear regression models: A probabilistic view; 3.6 Time series models; 3.6.1 Moving-average processes; 3.6.2 Autoregressive processes; 3.6.3 ARMA and ARIMA processes; 3.6.4 Vector autoregressive models; 3.6.5 Modeling stochastic volatility; 3.7 Stochastic differential equations; 3.7.1 From discrete to continuous time; 3.7.2 Standard Wiener process; 3.7.3 Stochastic integration and Itô''s lemma; 3.7.4 Geometric Brownian motion; 3.7.5 Generalizations; 3.8 Dimensionality reduction; 3.8.1 Principal component analysis (PCA) 3.8.2 Factor models |
| Record Nr. | UNINA-9910132196003321 |
|
Brandimarte Paolo
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics / / Paolo Brandimarte
| Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics / / Paolo Brandimarte |
| Autore | Brandimarte Paolo |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (685 p.) |
| Disciplina | 330.01/518282 |
| Collana | Wiley Handbooks in Financial Engineering and Econometrics |
| Soggetto topico |
Finance - Mathematical models
Economics - Mathematical models Monte Carlo method |
| ISBN |
1-118-59451-7
1-118-59326-X 1-118-59364-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Contents; Preface; Part I Overview and Motivation; 1 Introduction to Monte Carlo Methods; 1.1 Historical origin of Monte Carlo simulation; 1.2 Monte Carlo simulation vs. Monte Carlo sampling; 1.3 System dynamics and the mechanics of Monte Carlo simulation; 1.3.1 Discrete-time models; 1.3.2 Continuous-time models; 1.3.3 Discrete-event models; 1.4 Simulation and optimization; 1.4.1 Nonconvex optimization; 1.4.2 Stochastic optimization; 1.4.3 Stochastic dynamic programming; 1.5 Pitfalls in Monte Carlo simulation; 1.5.1 Technical issues
1.5.2 Philosophical issues1.6 Software tools for Monte Carlo simulation; 1.7 Prerequisites; 1.7.1 Mathematical background; 1.7.2 Financial background; 1.7.3 Technical background; For further reading; References; 2 Numerical Integration Methods; 2.1 Classical quadrature formulas; 2.1.1 The rectangle rule; 2.1.2 Interpolatory quadrature formulas; 2.1.3 An alternative derivation; 2.2 Gaussian quadrature; 2.2.1 Theory of Gaussian quadrature: The role of orthogonal polynomials; 2.2.2 Gaussian quadrature in R; 2.3 Extension to higher dimensions: Product rules 2.4 Alternative approaches for high-dimensional integration2.4.1 Monte Carlo integration; 2.4.2 Low-discrepancy sequences; 2.4.3 Lattice methods; 2.5 Relationship with moment matching; 2.5.1 Binomial lattices; 2.5.2 Scenario generation in stochastic programming; 2.6 Numerical integration in R; For further reading; References; Part II Input Analysis: Modeling and Estimation; 3 Stochastic Modeling in Finance and Economics; 3.1 Introductory examples; 3.1.1 Single-period portfolio optimization and modeling returns; 3.1.2 Consumption-saving with uncertain labor income 3.1.3 Continuous-time models for asset prices and interest rates3.2 Some common probability distributions; 3.2.1 Bernoulli, binomial, and geometric variables; 3.2.2 Exponential and Poisson distributions; 3.2.3 Normal and related distributions; 3.2.4 Beta distribution; 3.2.5 Gamma distribution; 3.2.6 Empirical distributions; 3.3 Multivariate distributions: Covariance and correlation; 3.3.1 Multivariate distributions; 3.3.2 Covariance and Pearson''s correlation; 3.3.3 R functions for covariance and correlation; 3.3.4 Some typical multivariate distributions; 3.4 Modeling dependence with copulas 3.4.1 Kendall''s tau and Spearman''s rho3.4.2 Tail dependence; 3.5 Linear regression models: A probabilistic view; 3.6 Time series models; 3.6.1 Moving-average processes; 3.6.2 Autoregressive processes; 3.6.3 ARMA and ARIMA processes; 3.6.4 Vector autoregressive models; 3.6.5 Modeling stochastic volatility; 3.7 Stochastic differential equations; 3.7.1 From discrete to continuous time; 3.7.2 Standard Wiener process; 3.7.3 Stochastic integration and Itô''s lemma; 3.7.4 Geometric Brownian motion; 3.7.5 Generalizations; 3.8 Dimensionality reduction; 3.8.1 Principal component analysis (PCA) 3.8.2 Factor models |
| Record Nr. | UNINA-9910828142503321 |
|
Brandimarte Paolo
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||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The handbook of financial modeling : a practical approach to creating and implementing valuation projection models / / Jack Avon
| The handbook of financial modeling : a practical approach to creating and implementing valuation projection models / / Jack Avon |
| Autore | Avon Jack |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | New York, New York State : , : APress, , [2021] |
| Descrizione fisica | 1 online resource (XII, 351 p. 225 illus.) |
| Disciplina | 330.015118 |
| Soggetto topico |
Finance - Mathematical models
Visual Basic (Computer program language) |
| ISBN |
1-5231-5073-4
1-4842-6540-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. The Role of Financial Modelers today -- 2. Types of Financial Models -- 3. Review of Best Practices for Modeling -- 4. The Modeling Lifecycle explained -- 5. Planning and designing models -- 6. It's All About the Model Outputs -- 7. Model Build -- 8. Financial Modeling and Accountancy -- 9. The Implications and Rules of Accounting for Modelers -- 10. Modeling Scenarios Explained -- 11. Calculations for Financial Modelers -- 12. The Importance of Documentation -- 13. Model Stress Testing -- 14. Model Audit and Review -- 15. The Role of VBA in Financial Models -- 16. Operis -- 17. Financial Modelling, Where Next? -- Appendix A: Modelling Glossary and Terminology -- Appendix B: Ready-Made Functions -- Appendix C: References. . |
| Record Nr. | UNINA-9910483490503321 |
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Avon Jack
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| New York, New York State : , : APress, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of high-frequency trading and modeling in finance / / edited by Ionut Florescu, Maria C. Mariani, H. Eugene Stanley, Frederi G. Viens
| Handbook of high-frequency trading and modeling in finance / / edited by Ionut Florescu, Maria C. Mariani, H. Eugene Stanley, Frederi G. Viens |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2016] |
| Descrizione fisica | 1 online resource (455 p.) |
| Disciplina | 332.64/20285 |
| Collana | Wiley handbooks in financial engineering and econometrics |
| Soggetto topico |
Investment analysis - Mathematical models
Investments - Mathematical models Finance - Mathematical models |
| ISBN | 1-118-59340-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Handbook of High-Frequency Trading and Modeling in Finance; Contents; Notes on Contributors; Editors; List of Contributors; Preface; 1 Trends and Trades; 1.1 Introduction; 1.2 A trend-based trading strategy; 1.2.1 signaling and trends; 1.2.2 gain over a subperiod; 1.3 CUSUM timing; 1.3.1 cusum process and stopping time; 1.3.2 a cusum timing scheme; 1.3.3 us treasury notes, cusum timing; 1.4 Example: Random walk on ticks; 1.4.1 random walk expected gain over a subperiod; 1.4.2 simple random walk, CUSUM timing; 1.4.3 lazy simple random walk, cusum timing; 1.5 CUSUM strategy Monte Carlo
1.6 The effect of the threshold parameter1.7 Conclusions and future work; Appendix: Tables; References; 2 Gaussian Inequalities and Tranche Sensitivities; 2.1 Introduction; 2.2 The tranche loss function; 2.3 A sensitivity identity; 2.4 Correlation sensitivities; Acknowledgment; References; 3 A Nonlinear Lead Lag Dependence Analysis of Energy Futures: Oil, Coal, and Natural Gas; 3.1 Introduction; 3.1.1 causality analysis; 3.2 Data; 3.3 Estimation techniques; 3.4 Results; 3.5 Discussion; 3.6 Conclusions; Acknowledgments; References; 4 Portfolio Optimization: Applications in Quantum Computing 4.1 Introduction4.2 Background; 4.2.1 Portfolios And Optimization; 4.2.2 Algorithmic Complexity; 4.2.3 Performance; 4.2.4 Ising Model; 4.2.5 Adiabatic Quantum Computing; 4.3 The models; 4.3.1 Financial Model; 4.3.2 Graph-Theoretic Combinatorial Optimization Models; 4.3.3 Ising And Qubo Models; 4.3.4 Mixed Models; 4.4 Methods; 4.4.1 Model Implementation; 4.4.2 Input Data; 4.4.3 Mean-Variance Calculations; 4.4.4 Implementing The Risk Measure; 4.4.5 Implementation Mapping; 4.5 Results; 4.5.1 The Simple Correlation Model; 4.5.2 The Restricted Minimum-Risk Model 4.5.3 The WMIS Minimum-Risk, Max Return Model4.6 Discussion; 4.6.1 Hardware Limitations; 4.6.2 Model Limitations; 4.6.3 Implementation Limitations; 4.6.4 Future Research; 4.7 Conclusion; Acknowledgments; Appendix 4.A: WMIS Matlab Code; References; 5 Estimation Procedure for Regime Switching Stochastic Volatility Model and Its Applications; 5.1 Introduction; 5.1.1 the original motivation; 5.1.2 the model and the problem; 5.1.3 a brief historical note; 5.2 The methodology; 5.2.1 obtaining filtered empirical distributions at ; 5.2.2 obtaining the parameters of the markov chain 5.3 Results obtained applying the model to real data5.3.1 part i: financial applications; 5.3.2 part ii: physical data application. temperature data; 5.3.3 part iii: analysis of seismometer readings during an earthquake; 5.3.4 analysis of the earthquake signal: beginning; 5.3.5 analysis: during the earthquake; 5.3.6 analysis: end of the earthquake signal, aftershocks; 5.4 Conclusion; Appendix 5.A:Theoretical results and empirical testing; 5.A.1 how does the particle filter work?; 5.A.2 theoretical results about convergence and parameter estimates; 5.A.3 markov chain parameter estimates 5.A.4 empirical testing |
| Record Nr. | UNINA-9910136773503321 |
| Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of high-frequency trading and modeling in finance / / edited by Ionut Florescu, Maria C. Mariani, H. Eugene Stanley, Frederi G. Viens
| Handbook of high-frequency trading and modeling in finance / / edited by Ionut Florescu, Maria C. Mariani, H. Eugene Stanley, Frederi G. Viens |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2016] |
| Descrizione fisica | 1 online resource (455 p.) |
| Disciplina | 332.64/20285 |
| Collana | Wiley handbooks in financial engineering and econometrics |
| Soggetto topico |
Investment analysis - Mathematical models
Investments - Mathematical models Finance - Mathematical models |
| ISBN | 1-118-59340-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Handbook of High-Frequency Trading and Modeling in Finance; Contents; Notes on Contributors; Editors; List of Contributors; Preface; 1 Trends and Trades; 1.1 Introduction; 1.2 A trend-based trading strategy; 1.2.1 signaling and trends; 1.2.2 gain over a subperiod; 1.3 CUSUM timing; 1.3.1 cusum process and stopping time; 1.3.2 a cusum timing scheme; 1.3.3 us treasury notes, cusum timing; 1.4 Example: Random walk on ticks; 1.4.1 random walk expected gain over a subperiod; 1.4.2 simple random walk, CUSUM timing; 1.4.3 lazy simple random walk, cusum timing; 1.5 CUSUM strategy Monte Carlo
1.6 The effect of the threshold parameter1.7 Conclusions and future work; Appendix: Tables; References; 2 Gaussian Inequalities and Tranche Sensitivities; 2.1 Introduction; 2.2 The tranche loss function; 2.3 A sensitivity identity; 2.4 Correlation sensitivities; Acknowledgment; References; 3 A Nonlinear Lead Lag Dependence Analysis of Energy Futures: Oil, Coal, and Natural Gas; 3.1 Introduction; 3.1.1 causality analysis; 3.2 Data; 3.3 Estimation techniques; 3.4 Results; 3.5 Discussion; 3.6 Conclusions; Acknowledgments; References; 4 Portfolio Optimization: Applications in Quantum Computing 4.1 Introduction4.2 Background; 4.2.1 Portfolios And Optimization; 4.2.2 Algorithmic Complexity; 4.2.3 Performance; 4.2.4 Ising Model; 4.2.5 Adiabatic Quantum Computing; 4.3 The models; 4.3.1 Financial Model; 4.3.2 Graph-Theoretic Combinatorial Optimization Models; 4.3.3 Ising And Qubo Models; 4.3.4 Mixed Models; 4.4 Methods; 4.4.1 Model Implementation; 4.4.2 Input Data; 4.4.3 Mean-Variance Calculations; 4.4.4 Implementing The Risk Measure; 4.4.5 Implementation Mapping; 4.5 Results; 4.5.1 The Simple Correlation Model; 4.5.2 The Restricted Minimum-Risk Model 4.5.3 The WMIS Minimum-Risk, Max Return Model4.6 Discussion; 4.6.1 Hardware Limitations; 4.6.2 Model Limitations; 4.6.3 Implementation Limitations; 4.6.4 Future Research; 4.7 Conclusion; Acknowledgments; Appendix 4.A: WMIS Matlab Code; References; 5 Estimation Procedure for Regime Switching Stochastic Volatility Model and Its Applications; 5.1 Introduction; 5.1.1 the original motivation; 5.1.2 the model and the problem; 5.1.3 a brief historical note; 5.2 The methodology; 5.2.1 obtaining filtered empirical distributions at ; 5.2.2 obtaining the parameters of the markov chain 5.3 Results obtained applying the model to real data5.3.1 part i: financial applications; 5.3.2 part ii: physical data application. temperature data; 5.3.3 part iii: analysis of seismometer readings during an earthquake; 5.3.4 analysis of the earthquake signal: beginning; 5.3.5 analysis: during the earthquake; 5.3.6 analysis: end of the earthquake signal, aftershocks; 5.4 Conclusion; Appendix 5.A:Theoretical results and empirical testing; 5.A.1 how does the particle filter work?; 5.A.2 theoretical results about convergence and parameter estimates; 5.A.3 markov chain parameter estimates 5.A.4 empirical testing |
| Record Nr. | UNINA-9910821161303321 |
| Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The Heston model and its extensions in Matlab and C# [[electronic resource] /] / Fabrice Douglas Rouah ; [foreword by Steven L. Heston]
| The Heston model and its extensions in Matlab and C# [[electronic resource] /] / Fabrice Douglas Rouah ; [foreword by Steven L. Heston] |
| Autore | Rouah Fabrice <1964-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, Inc., 2013 |
| Descrizione fisica | 1 online resource (434 p.) |
| Disciplina | 332.64/53028553 |
| Collana | Wiley finance series |
| Soggetto topico |
Options (Finance) - Mathematical models
Options (Finance) - Prices Finance - Mathematical models C# (Computer program language) |
| ISBN |
1-118-69517-8
1-118-65647-4 1-118-69518-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Heston model for European options -- Integration issues, parameter effects, and variance modeling -- Derivations using the Fourier transform -- The fundamental approach to pricing options. |
| Record Nr. | UNINA-9910139005703321 |
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Rouah Fabrice <1964->
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| Hoboken, N.J., : John Wiley & Sons, Inc., 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Heston model and its extensions in VBA + website / / Fabrice D. Rouah
| The Heston model and its extensions in VBA + website / / Fabrice D. Rouah |
| Autore | Rouah Fabrice <1964-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (0 pages) : illustrations |
| Disciplina | 332.64/5302855133 |
| Collana | Wiley Finance Series |
| Soggetto topico |
Options (Finance) - Mathematical models
Options (Finance) - Prices Finance - Mathematical models |
| ISBN |
1-119-00330-X
1-119-00331-8 |
| Classificazione | BUS027000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Foreword Preface Acknowledgments About This Book VBA Library for Complex Numbers Chapter 1: The Heston Model for European Options Model Dynamics The Heston European Call Price Dividend Yield and the Put Price Consolidating the Integrals Black-Scholes as a Special Case Conclusion Chapter 2: Integration Issues, Parameter Effects, and Variance Modeling Remarks on the Characteristic Functions Problems With the Integrand The Little Heston Trap Effect of the Heston Parameters Variance Modeling in the Heston Model Moment Explosions Bounds on Implied Volatility Slope Conclusion Chapter 3: Derivations Using the Fourier Transform Derivation of Gatheral (2006) Attari (2004) Representation Carr and Madan (1999) Representation Conclusion Chapter 4: The Fundamental Transform for Pricing Options The Payoff Transform Option Prices Using Parseval's Identity Volatility of Volatility Series Expansion Conclusion Chapter 5: Numerical Integration Schemes The Integrand in Numerical Integration Newton-Cotes Formulas Gaussian Quadrature Integration Limits, Multi-Domain Integration, and Kahl and Jackel Transformation Illustration of Numerical Integration Fast Fourier Transform Fractional Fast Fourier Transform Conclusion Chapter 6: Parameter Estimation Estimation Using Loss Functions Speeding up the Estimation Differential Evolution Maximum Likelihood Estimation Risk-Neutral Density and Arbitrage-Free Volatility Surface Conclusion Chapter 7: Simulation in the Heston Model General Setup Euler Scheme Milstein Scheme Implicit Milstein Scheme Transformed Volatility Scheme Balanced, Pathwise, and IJK Schemes Quadratic-Exponential Scheme Alfonsi Scheme for the Variance Moment Matching Scheme Conclusion Chapter 8: American Options Least-Squares Monte Carlo The Explicit Method Beliaeva-Nawalkha Bivariate Tree Medvedev-Scaillet Expansion Chiarella and Ziogas American Call Conclusion Chapter 9: Time-Dependent Heston Models Generalization of the Riccati Equation Bivariate Characteristic Function Linking the Bivariate CF and the General Riccati Equation Mikhailov and Nogel Model Elices Model Benhamou-Miri-Gobet Model Black-Scholes Derivatives Conclusion Chapter 10: Methods for Finite Differences The PDE in Terms of an Operator Building Grids Finite Difference Approximation of Derivatives Boundary Conditions for the PDE The Weighted Method Explicit Scheme ADI Schemes Conclusion Chapter 11: The Heston Greeks Analytic Expressions for European Greeks Finite Differences for the Greeks Numerical Implementation of the Greeks Greeks Under the Attari and Carr-Madan Formulations Greeks Under the Lewis Formulations Greeks Using the FFT and FRFT American Greeks Using Simulation American Greeks Using the Explicit Method American Greeks from Medvedev and Scaillet Conclusion Chapter 12: The Double Heston Model Multi-Dimensional Feynman-Kac Theorem Double Heston Call Price Double Heston Greeks Parameter Estimation Simulation in the Double Heston Model American Options in the Double Heston Model Conclusion Bibliography About the Website Index. |
| Record Nr. | UNINA-9910208954803321 |
|
Rouah Fabrice <1964->
|
||
| Hoboken, New Jersey : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The Heston model and its extensions in VBA + website / / Fabrice D. Rouah
| The Heston model and its extensions in VBA + website / / Fabrice D. Rouah |
| Autore | Rouah Fabrice <1964-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (0 pages) : illustrations |
| Disciplina | 332.64/5302855133 |
| Collana | Wiley Finance Series |
| Soggetto topico |
Options (Finance) - Mathematical models
Options (Finance) - Prices Finance - Mathematical models |
| ISBN |
1-119-00330-X
1-119-00331-8 |
| Classificazione | BUS027000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Foreword Preface Acknowledgments About This Book VBA Library for Complex Numbers Chapter 1: The Heston Model for European Options Model Dynamics The Heston European Call Price Dividend Yield and the Put Price Consolidating the Integrals Black-Scholes as a Special Case Conclusion Chapter 2: Integration Issues, Parameter Effects, and Variance Modeling Remarks on the Characteristic Functions Problems With the Integrand The Little Heston Trap Effect of the Heston Parameters Variance Modeling in the Heston Model Moment Explosions Bounds on Implied Volatility Slope Conclusion Chapter 3: Derivations Using the Fourier Transform Derivation of Gatheral (2006) Attari (2004) Representation Carr and Madan (1999) Representation Conclusion Chapter 4: The Fundamental Transform for Pricing Options The Payoff Transform Option Prices Using Parseval's Identity Volatility of Volatility Series Expansion Conclusion Chapter 5: Numerical Integration Schemes The Integrand in Numerical Integration Newton-Cotes Formulas Gaussian Quadrature Integration Limits, Multi-Domain Integration, and Kahl and Jackel Transformation Illustration of Numerical Integration Fast Fourier Transform Fractional Fast Fourier Transform Conclusion Chapter 6: Parameter Estimation Estimation Using Loss Functions Speeding up the Estimation Differential Evolution Maximum Likelihood Estimation Risk-Neutral Density and Arbitrage-Free Volatility Surface Conclusion Chapter 7: Simulation in the Heston Model General Setup Euler Scheme Milstein Scheme Implicit Milstein Scheme Transformed Volatility Scheme Balanced, Pathwise, and IJK Schemes Quadratic-Exponential Scheme Alfonsi Scheme for the Variance Moment Matching Scheme Conclusion Chapter 8: American Options Least-Squares Monte Carlo The Explicit Method Beliaeva-Nawalkha Bivariate Tree Medvedev-Scaillet Expansion Chiarella and Ziogas American Call Conclusion Chapter 9: Time-Dependent Heston Models Generalization of the Riccati Equation Bivariate Characteristic Function Linking the Bivariate CF and the General Riccati Equation Mikhailov and Nogel Model Elices Model Benhamou-Miri-Gobet Model Black-Scholes Derivatives Conclusion Chapter 10: Methods for Finite Differences The PDE in Terms of an Operator Building Grids Finite Difference Approximation of Derivatives Boundary Conditions for the PDE The Weighted Method Explicit Scheme ADI Schemes Conclusion Chapter 11: The Heston Greeks Analytic Expressions for European Greeks Finite Differences for the Greeks Numerical Implementation of the Greeks Greeks Under the Attari and Carr-Madan Formulations Greeks Under the Lewis Formulations Greeks Using the FFT and FRFT American Greeks Using Simulation American Greeks Using the Explicit Method American Greeks from Medvedev and Scaillet Conclusion Chapter 12: The Double Heston Model Multi-Dimensional Feynman-Kac Theorem Double Heston Call Price Double Heston Greeks Parameter Estimation Simulation in the Double Heston Model American Options in the Double Heston Model Conclusion Bibliography About the Website Index. |
| Record Nr. | UNINA-9910819466503321 |
|
Rouah Fabrice <1964->
|
||
| Hoboken, New Jersey : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
