Title :
How to detect big buyers in Hong Kong stock market and follow them up to make money
Author_Institution :
Dept. of Autom. Sci. & Technol., Xian Jiaotong Univ., Xian, China
Abstract :
We apply the price dynamical model with big buyers and big sellers 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 :
decision making; fuzzy set theory; pricing; stock markets; Hong Kong Stock Exchange; Hong Kong stock market; banking; big buyer strength; big seller strength; big sellers; big-buyer detection; buy-and-hold strategy; buy/sell decision making; daily closing prices; follow-the-big-buyer trading strategy; net profits; price dynamical model; real estate stocks; ride-the-mood trading strategy; strength parameter estimation; uniformly distributed intervals; Banking; Heuristic algorithms; Indexes; Investment; Portfolios; Standards; Stock markets; Efficient Market Hypothesis; fuzzy systems; nonlinear dynamics; stock markets; trading strategies;
Conference_Titel :
Computational Intelligence in Control and Automation (CICA), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/CICA.2014.7013251