The science of financial market trading [[electronic resource] /] / Don K. Mak

• Record Nr.: UNINA9910782282503321
• Autore: Mak Don K
• Pubbl/distr/stampa: Singapore ; ; River Edge, NJ, : World Scientific, c2003
• ISBN: 1-281-94789-X; 9786611947897; 981-279-687-8
• Descrizione fisica: 1 online resource (261 p.)
• Disciplina: 332.640151
• Soggetti: Investments - Mathematics; Capital market - Forecasting
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 235-239) and index.
• Nota di contenuto: Contents; Preface; 1. Introduction; 1.1 Fundamental Analysis; 1.2 Technical Analysis; 1.2.1 Pattern Recognition; 1.2.2 Indicators; 1.3 Hybrids; 2. Is the Market Random ?; 3. Models of the Financial Markets ; 3.1 Chaos; 3.2 Complexity; 3.3 Wave Model; 3.4 Time Series Analysis 3.5 Neural Network; 3.6 Fractal Geometry; 3.7 Fuzzy Logic; 3.8 Wavelet Analysis; 4. Signals and Indicators; 4.1 Stochastic Indicator; 4.2 Momentum Indicator; 5. Trending Indicators; 5.1 Simple Moving Average (SMA); 5.2 Exponential Moving Average (EMA) 5.3 Adaptive Moving Average (AMA); 5.4 Trading Rules using Moving Averages; 6. Oscillator Indicators; 6.1 Parabolic Velocity Indicator; 6.2 Parabolic Acceleration Indicator; 6.3 Cubic Velocity and Acceleration Indicators ; 6.4 Divergences; 6.4.1 Class A Divergence 6.4.2 Class B Divergence; 6.4.3 Class C Divergence; 6.5 Head and Shoulders; 7. Vertex Indicators; 7.1 Parabolic Vertex Indicator ; 7.2 Cubic Vertex Indicator; 8. Various Time frames; 8.1 Under-sampling; 8.2 Frequency Characteristics of an Indicator; 9. Wavelet Analysis 9.1 High Wavelet Indicator; 9.2 Middle Wavelet Indicator ; 9.3 Low Wavelet Indicator; 10. Other New Techniques; 10.1 Skipped Convolution; 10.2 Forecasts; 11. Trading Systems; 12. Financial Markets are Complex; Appendix 1 Time Series Analysis; A1.1 Autoregressive Moving Average Model
• Sommario/riassunto: In this book, Dr Mak views the financial market from a scientific perspective. The book attempts to provide a realistic description of what the market is, and how future research should be developed. The market is a complex phenomenon, and can be forecasted only with errors - if that particular market can be forecasted at all. The book reviews the scientific literatures on the financial market and describes mathematical procedures which demonstrate that some markets are non-random. How the markets are modeled - phenomenologically and from first principle - is explained. It discusses indicat