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High-frequency trading : a practical guide to algorithmic strategies and trading systems / / Irene Aldridge
High-frequency trading : a practical guide to algorithmic strategies and trading systems / / Irene Aldridge
Autore Aldridge Irene <1975->
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2013
Descrizione fisica 1 online resource (322 p.)
Disciplina 332.64
Collana Wiley trading series
Soggetto topico Investment analysis
Portfolio management
Securities
Electronic trading of securities
Anàlisi financera
Gestió de cartera
Valors
Soggetto genere / forma Llibres electrònics
ISBN 1-118-41682-1
1-119-20380-5
1-299-46496-3
1-118-42011-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Acknowledgments -- How modern markets differ from those past -- Technological innovations, systems, and hft -- Market microstructure, orders, and limit order books -- High-frequency data -- End of chapter questions -- About the author -- About the website -- Index.
Record Nr. UNINA-9910139014203321
Aldridge Irene <1975->  
Hoboken, N.J., : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust portfolio optimization and management [[electronic resource] /] / Frank J. Fabozzi ... [et al.]
Robust portfolio optimization and management [[electronic resource] /] / Frank J. Fabozzi ... [et al.]
Pubbl/distr/stampa Hoboken, New Jersey, : John Wiley, c2007
Descrizione fisica 1 online resource (513 p.)
Disciplina 332.6
Altri autori (Persone) FabozziFrank J
Collana Frank J. Fabozzi series
Wiley finance
Soggetto topico Portfolio management
Robust optimization
Gestió de cartera
Soggetto genere / forma Electronic books.
Llibres electrònics
ISBN 1-119-20217-5
1-280-85552-5
9786610855520
0-470-16489-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robust Portfolio Optimization and Management; Contents; Preface; TEACHING USING THIS BOOK; ACKNOWLEDGMENTS; Chapter 1: Introduction; QUANTITATIVE TECHNIQUES IN THE INVESTMENT MANAGEMENT INDUSTRY; CENTRAL THEMES OF THIS BOOK; OVERVIEW OF THIS BOOK; Chapter 2: Mean-Variance Analysis and Modern Portfolio Theory; THE BENEFITS OF DIVERSIFICATION; MEAN-VARIANCE ANALYSIS: OVERVIEW; CLASSICAL FRAMEWORK FOR MEAN-VARIANCE OPTIMIZATION; THE CAPITAL MARKET LINE; SELECTION OF THE OPTIMAL PORTFOLIO WHEN THERE IS A RISK-FREE ASSET; MORE ON UTILITY FUNCTIONS: A GENERAL FRAMEWORK FOR PORTFOLIO CHOICE; SUMMARY
Chapter 3: Advances in the Theory of Portfolio Risk MeasuresDISPERSION AND DOWNSIDE MEASURES; PORTFOLIO SELECTION WITH HIGHER MOMENTS THROUGH EXPANSIONS OF UTILITY; POLYNOMIAL GOAL PROGRAMMING FOR PORTFOLIO OPTIMIZATION WITH HIGHER MOMENTS; SOME REMARKS ON THE ESTIMATION OF HIGHER MOMENTS; THE APPROACH OF MALEVERGNE AND SORNETTE; SUMMARY; Chapter 4: Portfolio Selection in Practice; PORTFOLIO CONSTRAINTS COMMONLY USED IN PRACTICE; INCORPORATING TRANSACTION COSTS IN ASSET-ALLOCATION MODELS; MULTIACCOUNT OPTIMIZATION; SUMMARY; Chapter 5: Classical Asset Pricing; DEFINITIONS
THEORETICAL AND ECONOMETRIC MODELSRANDOM WALK MODELS; GENERAL EQUILIBRIUM THEORIES; CAPITAL ASSET PRICING MODEL (CAPM); ARBITRAGE PRICING THEORY (APT); SUMMARY; Chapter 6: Forecasting Expected Return and Risk; DIVIDEND DISCOUNT AND RESIDUAL INCOME VALUATION MODELS; THE SAMPLE MEAN AND COVARIANCE ESTIMATORS; RANDOM MATRICES; ARBITRAGE PRICING THEORY AND FACTOR MODELS; FACTOR MODELS IN PRACTICE; OTHER APPROACHES TO VOLATILITY ESTIMATION; APPLICATION TO INVESTMENT STRATEGIES AND PROPRIETARY TRADING; SUMMARY; Chapter 7: Robust Estimation; THE INTUITION BEHIND ROBUST STATISTICS; ROBUST STATISTICS
ROBUST ESTIMATORS OF REGRESSIONSCONFIDENCE INTERVALS; SUMMARY; Chapter 8: Robust Frameworks for Estimation: Shrinkage, Bayesian Approaches, and the Black-Litterman Model; PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION; SHRINKAGE ESTIMATION; BAYESIAN APPROACHES; SUMMARY; Chapter 9: Mathematical and Numerical Optimization; MATHEMATICAL PROGRAMMING; NECESSARY CONDITIONS FOR OPTIMALITY FOR CONTINUOUS OPTIMIZATION PROBLEMS; OPTIMIZATION DUALITY THEORY; HOW DO OPTIMIZATION ALGORITHMS WORK?; SUMMARY; Chapter 10: Optimization Under Uncertainty; STOCHASTIC PROGRAMMING
DYNAMIC PROGRAMMINGROBUST OPTIMIZATION; SUMMARY; Chapter 11: Implementing and Solving Optimization Problems in Practice; OPTIMIZATION SOFTWARE; PRACTICAL CONSIDERATIONS WHEN USING OPTIMIZATION SOFTWARE; IMPLEMENTATION EXAMPLES; SPECIALIZED SOFTWARE FOR OPTIMIZATION UNDER UNCERTAINTY; SUMMARY; Chapter 12: Robust Modeling of Uncertain Parameters in Classical Mean-Variance Portfolio Optimization; PORTFOLIO RESAMPLING TECHNIQUES; ROBUST PORTFOLIO ALLOCATION; SOME PRACTICAL REMARKS ON ROBUST PORTFOLIO ALLOCATION MODELS; SUMMARY
Chapter 13: The Practice of Robust Portfolio Management: Recent Trends and New Directions
Record Nr. UNINA-9910143433003321
Hoboken, New Jersey, : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust portfolio optimization and management [[electronic resource] /] / Frank J. Fabozzi ... [et al.]
Robust portfolio optimization and management [[electronic resource] /] / Frank J. Fabozzi ... [et al.]
Pubbl/distr/stampa Hoboken, New Jersey, : John Wiley, c2007
Descrizione fisica 1 online resource (513 p.)
Disciplina 332.6
Altri autori (Persone) FabozziFrank J
Collana Frank J. Fabozzi series
Wiley finance
Soggetto topico Portfolio management
Robust optimization
Gestió de cartera
Soggetto genere / forma Llibres electrònics
ISBN 1-119-20217-5
1-280-85552-5
9786610855520
0-470-16489-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robust Portfolio Optimization and Management; Contents; Preface; TEACHING USING THIS BOOK; ACKNOWLEDGMENTS; Chapter 1: Introduction; QUANTITATIVE TECHNIQUES IN THE INVESTMENT MANAGEMENT INDUSTRY; CENTRAL THEMES OF THIS BOOK; OVERVIEW OF THIS BOOK; Chapter 2: Mean-Variance Analysis and Modern Portfolio Theory; THE BENEFITS OF DIVERSIFICATION; MEAN-VARIANCE ANALYSIS: OVERVIEW; CLASSICAL FRAMEWORK FOR MEAN-VARIANCE OPTIMIZATION; THE CAPITAL MARKET LINE; SELECTION OF THE OPTIMAL PORTFOLIO WHEN THERE IS A RISK-FREE ASSET; MORE ON UTILITY FUNCTIONS: A GENERAL FRAMEWORK FOR PORTFOLIO CHOICE; SUMMARY
Chapter 3: Advances in the Theory of Portfolio Risk MeasuresDISPERSION AND DOWNSIDE MEASURES; PORTFOLIO SELECTION WITH HIGHER MOMENTS THROUGH EXPANSIONS OF UTILITY; POLYNOMIAL GOAL PROGRAMMING FOR PORTFOLIO OPTIMIZATION WITH HIGHER MOMENTS; SOME REMARKS ON THE ESTIMATION OF HIGHER MOMENTS; THE APPROACH OF MALEVERGNE AND SORNETTE; SUMMARY; Chapter 4: Portfolio Selection in Practice; PORTFOLIO CONSTRAINTS COMMONLY USED IN PRACTICE; INCORPORATING TRANSACTION COSTS IN ASSET-ALLOCATION MODELS; MULTIACCOUNT OPTIMIZATION; SUMMARY; Chapter 5: Classical Asset Pricing; DEFINITIONS
THEORETICAL AND ECONOMETRIC MODELSRANDOM WALK MODELS; GENERAL EQUILIBRIUM THEORIES; CAPITAL ASSET PRICING MODEL (CAPM); ARBITRAGE PRICING THEORY (APT); SUMMARY; Chapter 6: Forecasting Expected Return and Risk; DIVIDEND DISCOUNT AND RESIDUAL INCOME VALUATION MODELS; THE SAMPLE MEAN AND COVARIANCE ESTIMATORS; RANDOM MATRICES; ARBITRAGE PRICING THEORY AND FACTOR MODELS; FACTOR MODELS IN PRACTICE; OTHER APPROACHES TO VOLATILITY ESTIMATION; APPLICATION TO INVESTMENT STRATEGIES AND PROPRIETARY TRADING; SUMMARY; Chapter 7: Robust Estimation; THE INTUITION BEHIND ROBUST STATISTICS; ROBUST STATISTICS
ROBUST ESTIMATORS OF REGRESSIONSCONFIDENCE INTERVALS; SUMMARY; Chapter 8: Robust Frameworks for Estimation: Shrinkage, Bayesian Approaches, and the Black-Litterman Model; PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION; SHRINKAGE ESTIMATION; BAYESIAN APPROACHES; SUMMARY; Chapter 9: Mathematical and Numerical Optimization; MATHEMATICAL PROGRAMMING; NECESSARY CONDITIONS FOR OPTIMALITY FOR CONTINUOUS OPTIMIZATION PROBLEMS; OPTIMIZATION DUALITY THEORY; HOW DO OPTIMIZATION ALGORITHMS WORK?; SUMMARY; Chapter 10: Optimization Under Uncertainty; STOCHASTIC PROGRAMMING
DYNAMIC PROGRAMMINGROBUST OPTIMIZATION; SUMMARY; Chapter 11: Implementing and Solving Optimization Problems in Practice; OPTIMIZATION SOFTWARE; PRACTICAL CONSIDERATIONS WHEN USING OPTIMIZATION SOFTWARE; IMPLEMENTATION EXAMPLES; SPECIALIZED SOFTWARE FOR OPTIMIZATION UNDER UNCERTAINTY; SUMMARY; Chapter 12: Robust Modeling of Uncertain Parameters in Classical Mean-Variance Portfolio Optimization; PORTFOLIO RESAMPLING TECHNIQUES; ROBUST PORTFOLIO ALLOCATION; SOME PRACTICAL REMARKS ON ROBUST PORTFOLIO ALLOCATION MODELS; SUMMARY
Chapter 13: The Practice of Robust Portfolio Management: Recent Trends and New Directions
Record Nr. UNINA-9910830958203321
Hoboken, New Jersey, : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Robust portfolio optimization and management / / Frank J. Fabozzi ... [et al.]
Robust portfolio optimization and management / / Frank J. Fabozzi ... [et al.]
Pubbl/distr/stampa Hoboken, New Jersey, : John Wiley, c2007
Descrizione fisica 1 online resource (513 p.)
Disciplina 332.6
Altri autori (Persone) FabozziFrank J
Collana Frank J. Fabozzi series
Wiley finance
Soggetto topico Portfolio management
Robust optimization
Gestió de cartera
Soggetto genere / forma Llibres electrònics
ISBN 1-119-20217-5
1-280-85552-5
9786610855520
0-470-16489-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robust Portfolio Optimization and Management; Contents; Preface; TEACHING USING THIS BOOK; ACKNOWLEDGMENTS; Chapter 1: Introduction; QUANTITATIVE TECHNIQUES IN THE INVESTMENT MANAGEMENT INDUSTRY; CENTRAL THEMES OF THIS BOOK; OVERVIEW OF THIS BOOK; Chapter 2: Mean-Variance Analysis and Modern Portfolio Theory; THE BENEFITS OF DIVERSIFICATION; MEAN-VARIANCE ANALYSIS: OVERVIEW; CLASSICAL FRAMEWORK FOR MEAN-VARIANCE OPTIMIZATION; THE CAPITAL MARKET LINE; SELECTION OF THE OPTIMAL PORTFOLIO WHEN THERE IS A RISK-FREE ASSET; MORE ON UTILITY FUNCTIONS: A GENERAL FRAMEWORK FOR PORTFOLIO CHOICE; SUMMARY
Chapter 3: Advances in the Theory of Portfolio Risk MeasuresDISPERSION AND DOWNSIDE MEASURES; PORTFOLIO SELECTION WITH HIGHER MOMENTS THROUGH EXPANSIONS OF UTILITY; POLYNOMIAL GOAL PROGRAMMING FOR PORTFOLIO OPTIMIZATION WITH HIGHER MOMENTS; SOME REMARKS ON THE ESTIMATION OF HIGHER MOMENTS; THE APPROACH OF MALEVERGNE AND SORNETTE; SUMMARY; Chapter 4: Portfolio Selection in Practice; PORTFOLIO CONSTRAINTS COMMONLY USED IN PRACTICE; INCORPORATING TRANSACTION COSTS IN ASSET-ALLOCATION MODELS; MULTIACCOUNT OPTIMIZATION; SUMMARY; Chapter 5: Classical Asset Pricing; DEFINITIONS
THEORETICAL AND ECONOMETRIC MODELSRANDOM WALK MODELS; GENERAL EQUILIBRIUM THEORIES; CAPITAL ASSET PRICING MODEL (CAPM); ARBITRAGE PRICING THEORY (APT); SUMMARY; Chapter 6: Forecasting Expected Return and Risk; DIVIDEND DISCOUNT AND RESIDUAL INCOME VALUATION MODELS; THE SAMPLE MEAN AND COVARIANCE ESTIMATORS; RANDOM MATRICES; ARBITRAGE PRICING THEORY AND FACTOR MODELS; FACTOR MODELS IN PRACTICE; OTHER APPROACHES TO VOLATILITY ESTIMATION; APPLICATION TO INVESTMENT STRATEGIES AND PROPRIETARY TRADING; SUMMARY; Chapter 7: Robust Estimation; THE INTUITION BEHIND ROBUST STATISTICS; ROBUST STATISTICS
ROBUST ESTIMATORS OF REGRESSIONSCONFIDENCE INTERVALS; SUMMARY; Chapter 8: Robust Frameworks for Estimation: Shrinkage, Bayesian Approaches, and the Black-Litterman Model; PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION; SHRINKAGE ESTIMATION; BAYESIAN APPROACHES; SUMMARY; Chapter 9: Mathematical and Numerical Optimization; MATHEMATICAL PROGRAMMING; NECESSARY CONDITIONS FOR OPTIMALITY FOR CONTINUOUS OPTIMIZATION PROBLEMS; OPTIMIZATION DUALITY THEORY; HOW DO OPTIMIZATION ALGORITHMS WORK?; SUMMARY; Chapter 10: Optimization Under Uncertainty; STOCHASTIC PROGRAMMING
DYNAMIC PROGRAMMINGROBUST OPTIMIZATION; SUMMARY; Chapter 11: Implementing and Solving Optimization Problems in Practice; OPTIMIZATION SOFTWARE; PRACTICAL CONSIDERATIONS WHEN USING OPTIMIZATION SOFTWARE; IMPLEMENTATION EXAMPLES; SPECIALIZED SOFTWARE FOR OPTIMIZATION UNDER UNCERTAINTY; SUMMARY; Chapter 12: Robust Modeling of Uncertain Parameters in Classical Mean-Variance Portfolio Optimization; PORTFOLIO RESAMPLING TECHNIQUES; ROBUST PORTFOLIO ALLOCATION; SOME PRACTICAL REMARKS ON ROBUST PORTFOLIO ALLOCATION MODELS; SUMMARY
Chapter 13: The Practice of Robust Portfolio Management: Recent Trends and New Directions
Record Nr. UNINA-9910877788103321
Hoboken, New Jersey, : John Wiley, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
What hedge funds really do : an introduction to portfolio management / / Philip J. Romero and Tucker Balch
What hedge funds really do : an introduction to portfolio management / / Philip J. Romero and Tucker Balch
Autore Romero Philip J.
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014
Descrizione fisica 1 online resource (148 pages)
Disciplina 332.6327
Collana Economics collection
Soggetto topico Hedge funds
Fons especulatius
Gestió de cartera
Portfolio management
Soggetto genere / forma Llibres electrònics
Soggetto non controllato absolute return
active investment management
arbitrage
capital asset pricing model
CAPM
derivatives
exchange traded funds
ETF
fat tails
finance
hedge funds
hedging
high-frequency trading
HFT
investing
investment management
long/short
modern portfolio theory
MPT
optimization
quant
quantitative trading strategies
portfolio construction
portfolio management
portfolio optimization
trading
trading strategies
Wall Street
ISBN 1-63157-090-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. The basics -- 1. Introduction -- 2. So you want to be a hedge fund manager -- 3. An illustrative hedge fund strategy: arbitrage -- 4. Market-making mechanics -- 5. Introduction to company valuation -- Part II. Investing fundamentals: CAPM and EMH -- 6. How valuation is used by hedge funds -- 7. Framework for investing: the capital asset pricing model (CAPM) -- 8. The efficient market hypothesis (EMH), its three versions -- 9. The fundamental law of active portfolio management -- Part III. Market simulation and portfolio construction -- 10. Modern portfolio theory: the efficient frontier and portfolio optimization -- 11. Event studies -- 12. Overcoming data quirks to design trading strategies -- 13. Data sources -- 14. Back testing strategies -- Part IV. Case study and issues -- 15. Hedge fund case study: long term capital management (LTCM) -- 16. Opportunities and challenges for hedge funds -- Teaching cases -- Glossary -- Summary -- Index.
Record Nr. UNINA-9910791003103321
Romero Philip J.  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
What hedge funds really do : an introduction to portfolio management / / Philip J. Romero and Tucker Balch
What hedge funds really do : an introduction to portfolio management / / Philip J. Romero and Tucker Balch
Autore Romero Philip J.
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014
Descrizione fisica 1 online resource (148 pages)
Disciplina 332.6327
Collana Economics collection
Soggetto topico Hedge funds
Fons especulatius
Gestió de cartera
Portfolio management
Soggetto genere / forma Llibres electrònics
Soggetto non controllato absolute return
active investment management
arbitrage
capital asset pricing model
CAPM
derivatives
exchange traded funds
ETF
fat tails
finance
hedge funds
hedging
high-frequency trading
HFT
investing
investment management
long/short
modern portfolio theory
MPT
optimization
quant
quantitative trading strategies
portfolio construction
portfolio management
portfolio optimization
trading
trading strategies
Wall Street
ISBN 1-63157-090-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. The basics -- 1. Introduction -- 2. So you want to be a hedge fund manager -- 3. An illustrative hedge fund strategy: arbitrage -- 4. Market-making mechanics -- 5. Introduction to company valuation -- Part II. Investing fundamentals: CAPM and EMH -- 6. How valuation is used by hedge funds -- 7. Framework for investing: the capital asset pricing model (CAPM) -- 8. The efficient market hypothesis (EMH), its three versions -- 9. The fundamental law of active portfolio management -- Part III. Market simulation and portfolio construction -- 10. Modern portfolio theory: the efficient frontier and portfolio optimization -- 11. Event studies -- 12. Overcoming data quirks to design trading strategies -- 13. Data sources -- 14. Back testing strategies -- Part IV. Case study and issues -- 15. Hedge fund case study: long term capital management (LTCM) -- 16. Opportunities and challenges for hedge funds -- Teaching cases -- Glossary -- Summary -- Index.
Record Nr. UNINA-9910817453103321
Romero Philip J.  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui