Dynamical Models of Stock Prices Based on Technical Trading Rules Part III: Application to Hong Kong Stocks
Author:
- Li-Xin WangLWLi-Xin Wang
Preprint
Abstract
In Part III of this study, we apply the price dynamical model with big buyers and big sellers developed in Part I of this paper to the daily closing prices of the top 20 banking and real estate stocks listed in the Hong Kong Stock Exchange. The basic idea is to estimate the strength parameters of the big buyers and the big sellers in the model and make buy/sell decisions based on these parameter estimates. We propose two trading strategies: (i) Follow-the-Big-Buyer which buys when big buyer begins to appear and there is no sign of big sellers, holds the stock as long as the big buyer is still there, and sells the stock once the big buyer disappears; and (ii) Ride-the-Mood which buys as soon as the big buyer strength begins to surpass the big seller strength, and sells the stock once the opposite happens. Based on the testing over 245 two-year intervals uniformly distributed across the seven years from 03-July-2007 to 02-July-2014 which includes a variety of scenarios, the net profits would increase 67% or 120% on average if an investor switched from the benchmark Buy-and-Hold strategy to the Follow-the-Big-Buyer or Ride-the-Mood strategies during this period, respectively.Keywords
All Related Versions
This publication has 10 references indexed in Scilit:
- Active momentum trading versus passive ‘ naive diversification’Quantitative Finance, 2013
- Optimal trading strategy and supply/demand dynamicsJournal of Financial Markets, 2013
- Reading About the Financial Crisis: A Twenty-One-Book ReviewJournal of Economic Literature, 2012
- Econophysics review: I. Empirical factsQuantitative Finance, 2011
- The use of technical analysis by fund managers: International evidenceJournal of Banking & Finance, 2010
- Optimal execution strategies in limit order books with general shape functionsQuantitative Finance, 2009
- Three Hundred Years of Stock Market ManipulationsThe Journal of Investing, 2001
- Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical ImplementationThe Journal of Finance, 2000
- Optimal control of execution costsJournal of Financial Markets, 1998
- The General Theory of Employment, Interest and MoneyThe Yale Law Journal, 1938