ABSTRACT

Candlestick charts are often used in speculative markets to describe and forecast asset price movements. This book is the first of its kind to investigate candlestick charts and their statistical properties. It provides an empirical evaluation of candlestick forecasting. The book proposes a novel technique to obtain the statistical properties of candlestick charts. The technique, which is known as the range decomposition technique, shows how security price is approximately logged into two ranges, i.e. technical range and Parkinson range.

Through decomposition-based modeling techniques and empirical datasets, the book investigates the power of, and establishes the statistical foundation of, candlestick forecasting.

part I|11 pages

Introduction and outline

chapter 1|8 pages

Introduction

chapter 2|1 pages

Outline of this book

part II|12 pages

Candlestick

chapter 3|4 pages

Basic concepts

chapter 4|6 pages

Statistical properties

part III|20 pages

Statistical models

chapter 5|8 pages

DVAR model

chapter 6|10 pages

Shadows in DVAR

part IV|55 pages

Applications

chapter 7|15 pages

Market volatility timing

chapter 8|7 pages

Technical range forecasting

chapter 9|7 pages

Technical range spillover

chapter 10|15 pages

Stock return forecasting

U.S. S&P500

chapter 11|9 pages

Oil price forecasting

WTI crude oil

part V|5 pages

Conclusions and future studies

chapter 12|1 pages

Main conclusions

chapter 13|2 pages

Future studies