Style investing and portfolio composition based on fundamental ratios and technical indicators

Subject Areas : Journal of Investment Knowledge

Kamran Pakize ¹ , Milad Rahmani ² , Fatemeh Azizzade ³

1 - Department of Financial Science, Kharazmi University
2 - Master of Financial Engineering, Kharazmi University
3 - Department of Financial Science, Kharazmi University

Received: 2016-09-07 Accepted : 2016-10-20 Published : 2017-03-21

Keywords: Style Investing, Value Factor, Size Factor, Quality Factor, PSO, Technical Analysis, Fundamental analysis, Transaction Cost Constraint,

Abstract :

Portfolio management and optimization is a crutial issue in investment management. Style investing is a way to earn more returne rather than a benchmark index. A style can be thought of as any characteristic relating a group of securities that is important in explaining their return and risk. These factors are grounded in academic research and have solid explanations as to why they historically have provided a premium. Empirical studies show that these factors have exhibited excess returns above the market. This study describes a new approach to portfolio management using stocks. The investment models tested incorporate a fundamental and technical approach using financial ratios and technical indicators. Also the effect of using six equity risk premia factors(styles) are examined in the study as follows: Value,Growth, Low Cap size, Big Cap size ,High Quality and Low Quality on portfolio performance. For doing this, a Particle Swarm Optimization (PSO) is used to optimize the model. As a case study, Performance of proposed method is tested by historical data of Tehran Stock Exchange for years 2012 to 2015. Results show that the proposed method has obtained higher Sortino ratio rather than the Tehran Stock Exchange market index. Also, Small cap stocks portfolio captured higher returne rather than Big caps for all three years, and Growth stocks portfolio had bether performance in contrast to Value stock for 2012 and 2013. For the Quality factor, High quality stocs portfolio had a better performance in contrast to Low quality stocks portfolio for 2012 and 2013.

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