The Ultimate Moving Average Handbook - Zakamulin, Valeriy;Giner, Javier
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Moving averages of prices serve as the primary tool for tracking trends in financial markets, filtering out noise, and highlighting trend directions. With a plethora of moving averages and trend-following rules at their disposal, traders often find themselves overwhelmed by the sheer variety of choices. Moreover, traders persistently devise new forms of exotic moving averages, each purportedly offering improved responsiveness and smoothness compared to its predecessors. While it is relatively straightforward to visually compare the responsiveness of two different moving averages, assessing…mehr

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Produktbeschreibung
Moving averages of prices serve as the primary tool for tracking trends in financial markets, filtering out noise, and highlighting trend directions. With a plethora of moving averages and trend-following rules at their disposal, traders often find themselves overwhelmed by the sheer variety of choices. Moreover, traders persistently devise new forms of exotic moving averages, each purportedly offering improved responsiveness and smoothness compared to its predecessors. While it is relatively straightforward to visually compare the responsiveness of two different moving averages, assessing their smoothing properties proves to be more challenging. Comparisons made through visual inspection are inherently subjective and prone to biases. A pressing need exists for quantitative metrics to objectively assess the properties of moving averages and their associated trend-following rules.

In this book, the authors propose a quantitative assessment of the properties of trend-following rules based on moving averages. They argue that there are three primary properties of trend-following rules: responsiveness, smoothness, and accuracy. Given the prevalent claims that each exotic moving average offers superior responsiveness and smoothness compared to prior versions, the book provides a means to verify the accuracy of these assertions. It offers systematic and comprehensive coverage of various types of moving averages and the trend-following rules based on moving averages, and focuses on identifying the most crucial properties of trend-following rules and proposing quantitative metrics for their evaluation.

Despite the plethora of books and academic publications, contemporary trend-following with moving averages remains more of an art than a science. This book injects scientific principles into the practice of trend-following, offering invaluable, distinct, and objective insights tailored for traders and investment professionals involved in trend-following investing alongside academics and students within economic and finance departments.
Autorenporträt
Valeriy Zakamulin is Professor of Finance at the School of Business and Law, University of Agder, Norway. He has an M.S. in Business Administration and a PhD in Finance from the Norwegian School of Economics, Norway. He has published articles for various refereed academic and practitioner journals and is a frequent speaker at international conferences. He has also served on the Editorial Board of the Open Economics Journal, Journal of Banking and Finance, and International Journal of Emerging Markets. His current research interests cover behavioral finance, portfolio optimization, time-series analysis of financial data, and stock return and risk predictability.