Modeling the market new theories and techniques

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Hauptverfasser: Focardi, Sergio (VerfasserIn), Jonas, Caroline (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: New Hope, Pa. Fabozzi 1997
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Datensatz im Suchindex

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adam_text Table of Contents About the Authors viii Preface ix Acknowledgements xi Part I Concepts and Methods 1 1 Basic Concepts 1 1.1 The classical view of finance 1 1.2 The new paradigm of empirical finance 4 1.3 A new theory in the making 6 1.4 Probability and beliefs 11 1.5 Modelability of financial laws 15 1.6 Chaos theory 18 1.7 Fractals 21 1.8 Forecasting 23 1.9 The notion of risk 26 1.10 From financial analytics to empirical finance 28 2 Modeling Under Equilibrium 31 2.1 Financial modeling today 31 2.2 Asset pricing models 32 2.3 Forecasting stock prices and returns 35 Hi 2.4 Derivatives pricing 37 2.5 Interest rate models 39 2.6 Decision making under uncertainty 40 3 Technological Developments in the Classical Framework 43 3.1 More extensive modeling 43 3.2 Numerical methods 45 3.3 Forecasting and parameter estimation 47 3.4 Global optimization 49 3.5 High performance computing 52 3.6 Financial engineering tools 54 3.7 Intelligent man machine interfaces 56 3.8 Automatic news analysis 57 3.9 Simulation 59 4 Models of Non Equilibrium Markets and Non Linear Methods 63 4.1 A new generation of models 63 4.2 Technological continuity 64 4.3 Non linear adaptive methods in computational finance 65 4.4 Forecasting in a non equilibrium framework 67 Part II Implementation 73 5 Investment Management 73 5.1 Styles of investment management 73 5.2 Investment performance 75 5.3 Depth of use of technology 76 5.4 Investment technology 77 6 Trading 83 iv 6.1 Trading as process control 83 6.2 Trading on forecasts 84 6.3 Financial engineering 88 7 Risk Management 91 7.1 The business problem 91 7.2 Evaluating risk 92 7.3 Risk management engineering 95 8 The Outlook for Adaptive Methods in Finance 99 Part HI Issues and the Market 105 9 The Market for Products and Services 105 9.1 The market as seen by hardware vendors 105 9.2 The shaping up of a software and service industry 107 9.3 The structure of the commercial offering 112 9.4 Role of government funded initiatives and research 115 10 Technology Issues 119 10.1 Availability of data 119 10.2 Theory and methods 122 10.3 Ancillary technologies and user friendliness 125 10.4 Computing power 127 11 Management Issues 131 11.1 Championing technology 131 11.2 Defining the business problem 133 11.3 Building teams 135 11.4 In house or external development 137 11.5 Adaptive methods and the global context 140 V 12 Future Scenarios 143 Part IV The Mathematics of Uncertainty and Learning 146 13 The Mathematical Handling of Uncertainty 147 13.1 Uncertainty and probability 147 13.2 Outcomes and events 148 13.3 Probability 150 13.4 Measures and integrals in finance theory 152 13.5 Random variables 153 13.6 Distributions and distribution functions 155 13.7 Random vectors 155 13.8 Time and information in finance theory 156 13.9 Conditional probability and expectation 161 13.10 The interpretation of probability in finance 162 14 The Representation of Security Markets 165 14.1 The Efficient Market Hypothesis 166 14.2 TheformalizationoftheEMH 166 14.3 Discrete models 170 14.4 Completeness and independence 173 14.5 Standard Brownian processes 174 14.6 Stochastic integration 176 14.7 Trading strategies and trading gains 177 14.8 Ito processes 178 14.9 Ito s lemma 179 14.10 Continuous time security markets 180 15 The Representation of Market Constraints and Asset Pricing 183 15.1 Mathematics and the external world 183 15.2 The no arbitrage condition 184 vi 15.3 Martingales 185 15.4 Martingales in the theory of efficient markets 186 15.5 Price deflators in the discrete case 188 15.6 Equivalent martingale measures and complete markets in the discrete case 191 15.7 Deflators in continuous time 193 15.8 Equivalent martingale measures in the continuous case 194 15.9 Arbitrage pricing and derivatives pricing 196 15.10 Agent optimality and equilibrium 197 16 At the Frontier of Research 203 16.1 Research directions 203 16.2 Empirical tests of market efficiency 206 16.3 Forecasting and the no arbitrage principle 210 16.4 Is it possible to earn excess returns? 213 17 Adaptive Computational Methods 217 17.1 The data rich approach to science 217 17.2 Basic notions in machine learning 219 17.3 Genetic algorithms 221 17.4 Neural networks 229 17.5 Induction trees 239 17.6 Hybridization techniques 243 17.7 Clustering, segmentation 244 17.8 Adaptive methods in forecasting 246 17.9 Validation techniques and performance measurement 250 vii
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Jonas, Caroline
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indexdate 2024-12-23T15:45:34Z
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isbn 1883249120
language English
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physical XII, 289 S. graph. Darst.
publishDate 1997
publishDateSearch 1997
publishDateSort 1997
publisher Fabozzi
record_format marc
spellingShingle Focardi, Sergio
Jonas, Caroline
Modeling the market new theories and techniques
Finansieringsteori
Økonomisk-matematiske modellers teori
Finanzierungstheorie (DE-588)4154418-3 gnd
subject_GND (DE-588)4154418-3
title Modeling the market new theories and techniques
title_auth Modeling the market new theories and techniques
title_exact_search Modeling the market new theories and techniques
title_full Modeling the market new theories and techniques Sergio Focardi ; Caroline Jonas
title_fullStr Modeling the market new theories and techniques Sergio Focardi ; Caroline Jonas
title_full_unstemmed Modeling the market new theories and techniques Sergio Focardi ; Caroline Jonas
title_short Modeling the market
title_sort modeling the market new theories and techniques
title_sub new theories and techniques
topic Finansieringsteori
Økonomisk-matematiske modellers teori
Finanzierungstheorie (DE-588)4154418-3 gnd
topic_facet Finansieringsteori
Økonomisk-matematiske modellers teori
Finanzierungstheorie
url http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009578779&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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