
An Introduction to High-Frequency Finance.
Title:
An Introduction to High-Frequency Finance.
Author:
Gençay, Ramazan.
ISBN:
9780080499048
Personal Author:
Physical Description:
1 online resource (411 pages)
Contents:
Front Cover -- AN INTRODUCTION TO HIGH-FREQUENCY FINANCE -- Copyright Page -- CONTENTS -- LIST OF FIGURES -- LIST OF TABLES -- PREFACE -- ACKNOWLEDGMENTS -- CHAPTER 1. INTRODUCTION -- 1.1 Markets: The Source of High-Frequency Data -- 1.2 Methodology of High-Frequency Research -- 1.3 Data Frequency and Market Information -- 1.4 New Levels of Significance -- 1.5 Interrelating Different Time Scales -- CHAPTER 2. MARKETS AND DATA -- 2.1 General Remarks on Markets and Data Types -- 2.2 Foreign Exchange Markets -- 2.3 Over-The-Counter Interest Rate Markets -- 2.4 Interest Rate Futures -- 2.5 Bond Futures Markets -- 2.6 Commodity Futures -- 2.7 Equity Markets -- CHAPTER 3. TIME SERIES of INTEREST -- 3.1 Time Series and Operators -- 3.2 Variables in Homogeneous Time Series -- 3.3 Convolution Operators -- 3.4 Microscopic Operators -- CHAPTER 4. ADAPTIVE DATA CLEANING -- 4.1 Introduction: Using a Filter to Clean the Data -- 4.2 Data and Data Errors -- 4.3 General Overview of the Filter -- 4.4 Basic Filtering Elements and Operations -- 4.5 The Scalar Filtering Window -- 4.6 The Full-Quote Filtering Window -- 4.7 Univariate Filtering -- 4.8 Special Filter Elements -- 4.9 Behavior and Effects of the Data Filter -- CHAPTER 5. BASIC STYLIZED FACTS -- 5.1 Introduction -- 5.2 Price Formation Process -- 5.3 Institutional Structure and Exogeneous Impacts -- 5.4 Distributional Properties of Returns -- 5.5 Scaling Laws -- 5.6 Autocorrelation and Seasonality -- CHAPTER 6. MODELING SEASONAL VOLATILITY -- 6.1 Introduction -- 6.2 A Model of Market Activity -- 6.3 A New Business Time Scale (ò-Scale) -- 6.4 Filtering Intraday Seasonalities With Wavelets -- CHAPTER 7. REALIZED VOLATILITY DYNAMICS -- 7.1 Introduction -- 7.2 The Bias of Realized Volatility and Its Correction -- 7.3 Conditional Heteroskedasticity -- 7.4 The Heterogeneous Market Hypothesis.
CHAPTER 8. VOLATILITY PROCESSES -- 8.1 Introduction -- 8.2 Intraday Volatility and GARCH Models -- 8.3 Modeling Heterogeneous Volatilities -- 8.4 Forecasting Short-Term Volatility -- CHAPTER 9. FORECASTING RISK AND RETURN -- 9.1 Introduction to Forecasting -- 9.2 Forecasting Volatility for Value-at-Risk -- 9.3 Forecasting Returns over Multiple Time Horizons -- 9.4 Measuring Forecast Quality -- CHAPTER 10. CORRELATION AND MULTIVARIATE RISK -- 10.1 Introduction -- 10.2 Estimating the Dependence of Financial Time Series -- 10.3 Covolatility Weighting -- 10.4 Stability of Return Correlations -- 10.5 Correlation Behavior at High Data Frequencies -- 10.6 Conclusions -- CHAPTER 11. TRADING MODELS -- 11.1 Introduction -- 11.2 Real-Time Trading Strategies -- 11.3 Risk Sensitive Performance Measures -- 11.4 Trading Model Algorithms -- 11.5 Optimization and Testing Procedures -- 11.6 Statistical Study of a Trading Model -- 11.7 Trading Model Portfolios -- 11.8 Currency Risk Hedging -- CHAPTER 12. TOWARD A THEORY of HETEROGENEOUS MARKETS -- 12.1 Definition of Efficient Markets -- 12.2 Dynamic Markets and Relativistic Effects -- 12.3 Impact of the New Technology -- 12.4 Zero-Sum Game or Perpetuum Mobile? -- 12.5 Discussion of the Conventional Definition -- 12.6 An Improved Definition of "Efficient Markets" -- BIBLIOGRAPHY -- INDEX.
Abstract:
Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data. This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
Click to View