Librería Portfolio

Features

Integrates statistics, engineering systems, dynamic optimization, and computer science in one book
Serves as the standard theoretical reference on these topics
Provides an introduction to algorithmic trading
Discusses algorithmic trading in electronic exchanges and platforms
Covers risk management and regulatory issues
Summary

The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part covers market impact models, network models, multi-asset trading, machine learning techniques, and nonlinear filtering. The third part discusses electronic market making, liquidity, systemic risk, recent developments and debates on the subject.



Table of Contents



Introduction

Evolution of trading infrastructure

Quantitative strategies and time-scales

Statistical arbitrage and debates about EMH

Quantitative funds, mutual funds, hedge funds

Data, analytics, models, optimization, algorithms

Interdisciplinary nature of the subject and how the book can be used

Supplements and problems

Statistical Models and Methods for Quantitative Trading

Stylized facts on stock price data

Time series of low-frequency returns

Discrete price changes in high-frequency data

Brownian motion at the Paris Exchange and random walk down Wall Street

MPT as a \walking shoe´ down Wall Street

Statistical underpinnings of MPT

Multifactor pricing models

Bayes, shrinkage, and Black-Litterman estimators

Bootstrapping and the resampled frontier

A new approach incorporating parameter uncertainty

Solution of the optimization problem

Computation of the optimal weight vector

Bootstrap estimate of performance and NPEB

From random walks to martingales that match stylized facts

From Gaussian to Paretian random walks

Random walks with optional sampling times

From random walks to ARIMA, GARCH

Neo-MPT involving martingale regression models

Incorporating time series e_ects in NPEB

Optimizing information ratios along e_cient frontier

An empirical study of neo-MPT

Statistical arbitrage and strategies beyond EMH

Technical rules and the statistical background

Time series, momentum, and pairs trading strategies

Contrarian strategies, behavioral _nance, and investors´ cognitive biases

From value investing to global macro strategies

In-sample and out-of-sample evaluation

Supplements and problems

Active Portfolio Management and Investment Strategies

Active alpha and beta in portfolio management

Sources of alpha

Exotic beta beyond active alpha

A new approach to active portfolio optimization

Transaction costs, and long-short constraints

Components of cost of transaction

Long-short and other portfolio constraints

Multiperiod portfolio management

The Samuelson-Merton theory

Incorporating transaction costs into Merton´s problem

Multiperiod capital growth and volatility pumping

Multiperiod mean-variance portfolio rebalancing

Dynamic mean-variance portfolio optimization

Dynamic portfolio selection

Supplementary notes and comments

Exercises

Econometrics of Transactions in Electronic Platforms

Transactions and transactions data

Models for high-frequency data

Roll´s model of bid-ask bounce

Market microstructure model with additive noise

Estimation of integrated variance of Xt

Sparse sampling methods

Averaging method over subsamples

Method of two time-scales

Method of kernel smoothing: Realized kernels

Method of pre-averaging

From MLE of volatility parameter to QMLE of [X]T

Estimation of covariation of multiple assets

Asynchronicity and the Epps effect

Synchronization procedures

QMLE for covariance and correlation estimation

Multivariate realized kernels and two-scale estimators

Fourier methods

Fourier estimator of [X]T and spot volatility

Statistical properties of Fourier estimators

Fourier estimators of spot co-volatilities

Other econometric models involving TAQ

ACD models of inter-transaction durations

Self-exciting point process models

Decomposition of Di and generalized linear models

Joint modeling of point process and its marks

McCulloch and Tsay´s decomposition

Realized GARCH and other predictive models

Jumps in e_cient price process and power variation

Supplementary notes and comments

Exercises

Limit Order Book: Data Analytics and Dynamic Models

From market data to limit order book (LOB)

Stylized facts of LOB data

Book price adjustment

Volume imbalance and other indicators

Fitting a multivariate point process to LOB data

Marketable orders as a multivariate point process

Empirical illustration

LOB data analytics via machine learning

Queueing models of LOB dynamics

Diffusion limits of the level-1 reduced-form model

Fluid limit of order positions

LOB-based queue-reactive model

Supplements and problems

Optimal Execution and Placement

Optimal execution with a single asset

Dynamic programming solution of problem (6.2)

Continuous-time models and calculus of variations

Myth{the optimal deterministic strategies

Multiplicative price impact model

The model and stochastic control problem

HJB equation for _nite-horizon case

In_nite-horizon case T = 1

Price manipulation and transient price impact

Optimal execution with LOB

Cost minimization

Optimal strategy for Model 1

Optimal strategy for Model 2

Closed-form solution for block-shaped LOBs

Optimal execution with portfolios

Optimal placement

Markov random walk model with mean reversion

Continuous-time Markov chain model

Supplements and problems

Market Making and Smart Order Routing

Ho and Stoll´s model and the Avellanedo-Stoikov policy

Solution to the HJB equation and subsequent extensions

Impulse control involving limit and market orders

Impulse control for the market

Control formulation

Smart order routing and dark pools

Optimal order splitting among exchanges in SOR

The cost function and optimization problem

Optimal order placement across K exchanges

A stochastic approximation method

Censored exploration-exploitation for dark pools

The SOR problem and a greedy algorithm

Modi_ed Kaplan-Meier estimate ^ Ti

Exploration, exploitation, and optimal allocation

Stochastic Lagrangian optimization in dark pools

Lagrangian approach via stochastic approximation

Convergence of Lagrangian recursion to optimizer

Supplementary notes and comments

Exercises

Informatics, Regulation and Risk Management

Some quantitative strategies

Exchange infrastructure

Order gateway

Matching engine

Market d