Candlestick Forecasting for Investments

<p>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.</p><p>Through decomposition-based modeling techniques and empirical datasets, the book investigates the power of, and establishes the statistical foundation of, candlestick forecasting.</p> <p><strong>PART I </strong><strong>INTRODUCTION AND OUTLINE</strong> <strong>1. Introduction</strong> 1.1 Technical analysis before the 1970s 1.2 Technical analysis during 1990s–2000s 1.3 Recent advances in technical analysis 1.4 Summary <b>2. Outline of this book PART II CANDLESTICK 3. Basic concepts 4. Statistical properties </b>4.1 Propositions 4.2 Simulations 4.3 Empirical evidence 4.4 Summary <b>PART III STATISTICAL MODELS 5. DVAR model </b>5.1 The model 5.2 Statistical foundation 5.3 Simulations 5.4 Empirical results 5.5 Summary <b>6. Shadows in DVAR </b>6.1 Simulations 6.2 Theoretical explanation 6.3 Empirical evidence 6.4 Summary <b>PART IV APPLICATIONS 7. Market volatility timing </b>7.1 Introduction 7.2 GARCH@CARR model 7.3 Economic value of volatility timing 7.4 Empirical results 7.5 Summary <b>8. Technical range forecasting </b>8.1 Introduction 8.2 Econometric methods 8.3 An empirical study 8.4 Summary <b>9. Technical range spillover </b>9.1 Introduction 9.2 Econometric method 9.3 An empirical study: DAX and CAC40 9.4 Summary <b>10. Stock return forecasting: U.S. S&P500 </b>10.1 Introduction 10.2 Econometric methods 10.3 Statistical evidence 10.4 Economic evidence 10.5 More details 10.6 Summary <b>11. Oil price forecasting: WTI Crude Oil </b>11.1 Introduction 11.2 Econometric method 11.3 Empirical results 11.4 Summary <b>PART V CONCLUSIONS AND FUTURE STUDIES 12. Main conclusions 13. Future studies</b></p>