A Profitable Trading and Risk Management Strategy Despite Transaction Cost
University of Michigan at Ann Arbor
Michael James Bommarito II
Bommarito Consulting, LLC
October 12, 2008
Quantitative Finance, Forthcoming
We present a new profitable trading and risk management strategy with transaction cost for an adaptive equally weighted portfolio. Moreover, we implement a rule-based expert system for the daily financial decision making process by using the power of spectral analysis. We use several key components such as principal component analysis, partitioning, memory in stock markets, percentile for relative standing, the first four normalized central moments, learning algorithm, switching among several investments positions consisting of short stock market, long stock market and money market with real risk-free rates. We find that it is possible to beat the proxy for equity market without short selling for S&P 500-listed 168 stocks during the 1998-2008 period and Russell 2000-listed 213 stocks during the 1995-2007 period. Our Monte Carlo simulation over both the various set of stocks and the interval of time confirms our findings.
Number of Pages in PDF File: 28
Keywords: portfolio risk management, algorithmic trading, out-of-sample prediction, long memory in stocks, adaptive learning algorithm, market timing, principal component analysis, simulation
JEL Classification: G11, C6, D83, D81, G14Accepted Paper Series
Date posted: November 21, 2009 ; Last revised: March 16, 2010
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