scholarly journals Self-Management Portfolio System with Adaptive Association Mining: A Practical Application on Taiwan Stock Market

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1093
Author(s):  
Jia-Hao Syu ◽  
Yi-Ren Yeh ◽  
Mu-En Wu ◽  
Jan-Ming Ho

A well-established financial trading system should well perform in resource allocation, risk management, and sustainability. In this paper, we propose a self-management portfolio system with adaptive association mining for practical applications. The system allocates funds into independent units for risk management, and utilizes association mining and adaptive closing mechanism for resource allocation and sustainability, and adopts a self-management module for monitoring positions. The proposed system boosts the annual return and Sharpe ratio to 9.1% and 0.578 (increased to 2.28 and 2.48 times), and reduces the drawdown risk to 34.6% (decreased to almost half). Furthermore, the system rapidly closes the stock positions to avoid drawdown risk in the bear markets, and gradually increases the stock positions when the market turns into bull. Compared with benchmarks, proposed system outperforms all benchmarks in all measurements and on randomly sampled dataset.

2021 ◽  
pp. 231971452110230
Author(s):  
Simarjeet Singh ◽  
Nidhi Walia ◽  
Pradiptarathi Panda ◽  
Sanjay Gupta

Relative momentum strategies yield large and substantial profits in the Indian Stock Market. Nevertheless, relative momentum profits are negatively skewed and prone to occasional severe losses. By taking into consideration 450 stocks listed on the Bombay Stock Exchange, the present study predicts the timing of these huge momentum losses and proposes a simple risk-managed momentum approach to avoid these losses. The proposed risk-managed momentum approach not only doubles the adjusted Sharpe ratio but also results in significant improvements in downside risks. In contrast to relative momentum payoffs, risk-managed momentum payoffs remain substantial even in extended time frames. The study’s findings are particularly relevant for asset management companies, fund houses and financial academicians working in the area of asset anomalies.


1998 ◽  
Vol 2 (1) ◽  
pp. 33-38 ◽  
Author(s):  
John C. Anyanwu

Is the stock market development important for economic growth in Nigeria? One line of research argues that it is not; another line stresses the importance of stock market development in allocating capital, acquisition of information about firms, easing risk management, mobilization of savings, and exerting corporate control. Indeed, some theories provide a conceptual framework for the belief that larger, more efficient stock markets boost economic growth. This article examines whether there is a strong empirical association between Nigerian stock market development and long-run economic growth. Our empirical results suggest that the Nigerian stock market development is positively and strongly associated with long-term economic growth. This implies that Nigerian policymakers should make concerted efforts at removing obstacles to stock market development while creating and sustaining an enabling macroeconomic and political environment for the market’s development.


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