Physical Theory of Market Microstructure
Quantum Markets
Physical Theory of Market Microstructure
1-st edition
ISBN-10 : 0578890682
ISBN-13 : 978-0578890685
This book provides technical introduction into quantum nature of financial markets on microstructural level. Coming from examination of price formation process the book explains why it is a quantum process and why the common stochastic methods are insufficient. Building on this fact, quantum framework is developed as it applies to finance, not elementary particles. Although there is a basic similarity, the resulting picture is much different from traditional quantum physics.
Quantum physics is known as a discipline for calculations, not philosophy. That style is maintained throughout the book. The book is most appropriate for institutional finance professionals who have formal education in physics. The book is not intended for individuals that are looking for a general read, are unfamiliar with physics concepts, or amateur traders.
“Quantum Markets” summarizes years of author’s own research prompted by the need to enhance quality of decision making in his asset management and trading work. This includes modeling market impact, block trade pricing, order book dynamics, risk management of illiquid securities, etc. Armed with the material of this book the readers should be able to apply it to solve quantitative tasks on a trading desk or perform their own research in this direction.
PREFACE
INTRODUCTION
Difficulties of quantitative finance
Methodological aspects
Why physics?
PART I. PRICE FORMATION MECHANISM
1.1 Ambiguity of price
1.2 Limitations of stochastic calculus
1.3 Financial transaction as price measurement
1.4 Spread curve of price uncertainty
1.5 Uncertainty scaling
1.6 Basic relationship between spread, volatility and volume
1.6.1 Spread as price uncertainty
1.6.2 Spread as straddle premium
1.6.3 Dimensional considerations
1.6.4 Relation to market data
1.7 Price Impact with low participation
PART II. QUANTUM COUPLED-WAVE MODEL OF PRICE DYNAMICS
2.1 Introduction to coupled-wave model
2.2 Price operator and price equation
2.3 Return and spread operators
2.4 Trading algebra
2.5 Uncertainty relation
2.6 Spread and its statistics
2.7 Price process
2.8 State dynamics
2.9 Coupled-wave dynamics
2.10 Execution imbalance
2.11 Order imbalance
2.12 Ergodicity and price formation
2.13 Dynamic coupling
2.13.1 Balanced coupling
2.13.2 XPM coupling
2.13.3 Avalanche coupling regime
2.13.4 Depleting avalanche
2.13.5 Market reaction – conjugate order flow
2.14 Multiperiod scaling
2.15 Price impact
2.16 Risk management for illiquid securities
2.16.1 Market risk components
2.16.2 Liquidation losses and residual positions
PART III. QUANTUM THEORY OF PRICE FORMATION
3.1 Linking quantum and diffusion
3.2 Return spectrum
3.3 Quantum dynamics
3.4 Coordinate representation – Dealer’s Equation
3.5 Trade and trade flow operators
3.6 Financial uncertainty principle
3.7 Quantum-diffusion transition
3.8 Price stabilization
3.9 Engineering market environment
3.10 Option pricing for illiquid securities
PART IV. STATISTICAL MECHANICS OF FINANCIAL MARKETS
4.1 Markets as statistical systems
4.2 Ensemble view of the markets
4.3 Ensemble measures of financial markets
4.3.1 Market and volatility indices
4.3.2 Correlation index
4.3.3 Relation between volatility and correlation
4.3.4 Market drawdown
4.4 What’s wrong with traditional measures of volatility and correlations
4.5 Ensemble measures from quantum framework
4.6 How to interpret ensemble measures in trading
4.7 Measuring market ergodicity
4.8 Second-order phase transitions in financial markets
4.8.1 Ensemble measures in critical events
4.8.2 Order parameter and market phases
4.8.3 Critical hysteresis
4.8.4 Bifurcation of imbalance
4.9 Ensemble theory of price stabilization
4.9.1 Fair value and imbalance field
4.9.2 Market equilibrium equation
4.9.3 Fair value and spread
4.9.4 Price dynamics after fair value shift
4.10 Order imbalance and execution probabilities
4.11 Market impact in ensemble theory
4.12 Simplistic model of execution probabilities
APPENDIX A. Behavior of ensemble measures on days with critical events
APPENDIX B. Behavior of ensemble measures on days without critical events
APPENDIX C. Phase diagrams of the market on days with critical events
APPENDIX D. Phase diagrams of the market on days without critical events
Bibliography and References
Index
Articles
Quantum theory of price formation
Quantum Coupled-Wave Theory of Price Formation in Financial Markets: Price Measurement, Dynamics and Ergodicity, J. Sarkissian, accepted for publication in Physica A, (2019)
Quantum mechanism of price stabilization in financial markets, J. Sarkissian, Bulletin of the American Physical Society (2020)
Price Measurement in Financial Markets and Quantum Coupled-Wave Model of Price Dynamics, J. Sarkissian, Bulletin of the American Physical Society, Vol 64 #2 (2019)
Dynamic coupling in order book: quantum framework, J. Sarkissian (2017)
Quantum theory of price formation in financial markets, J. Sarkissian (2016)
Self-Action Effect on Price Formation in Financial Markets, J. Sarkissian, J. Sebold, V. Nastasiuk (2021)
Spread, volatility, and volume relationship in financial markets and market making profit optimization, J. Sarkissian (2016)
Option pricing under quantum theory of securities price formation, J. Sarkissian (2016)
Risk valuation for securities with limited liquidity, J. Sarkissian (2016)
Coupled mode theory of stock price formation, J. Sarkissian (2013)
Statistical mechanics of financial markets
Statistical Mechanics of Price Stabilization and Destabilization in Financial Markets, J. Sarkissian (2020)
Self-Controlled Phase Transitions During Market Crashes and Price Corrections, J. Sarkissian (2020)
Market crashes as second-order phase transitions, J. Sarkissian, Bulletin of the American Physical Society (2020)
Global and microstructural ergodic properties of financial markets, J. Sarkissian, Bulletin of the American Physical Society, Vol 64 #2 (2019)
Market Voice: Past Volatility, Future Volatility: What About Current Volatility?, Paul Jackson, Joel Sebold, Jack Sarkissian (2018)
Measurement of Current Market Correlations Based on Ensemble Statistics, J. Sarkissian, J. Sebold (2018)
Express measurement of market volatility using ergodicity concept, J. Sarkissian (2016)