Impact of Algorithmic Trading on Liquidity and Its Persistency

2014 ◽  
Author(s):  
Siyi Shen ◽  
Liu Jing
Keyword(s):  
Algorithmic Trading

The profitability of algorithmic trading systems based on football sentiment

2020 ◽  
Vol 42 (1) ◽  
pp. 33-46
Author(s):  
Raúl Gómez-Martínez ◽  
Camila Marqués-Bogliani ◽  
Jessica Paule-Vianez
Keyword(s):  
Financial Markets ◽  
Investment Decisions ◽  
Futures Market ◽  
Algorithmic Trading ◽  
Investment Strategies ◽  
Measurable Effect ◽  
Behavioural Finance ◽  
Trading Systems ◽  
European Football

Behavioural finance has shown that investment decisions are the result of not just rational but also emotional brain processes. On the assumption that emotions affect financial markets, it would seem likely that football results might have a measurable effect on financial markets. To test this, this study describes three algorithmic trading systems based exclusively on the results of three top European football teams (Juventus, Bayern München and Paris St Germain) opening long or short positions in the next market season of the futures market of the index of each country (MIB (Milano Italia Borsa), DAX (Deutscher Aktien Index) and CAC (Cotation Assistée en Continu). Depending on the outcome of the last game played a long position was taken after a victory and a short position after a draw or defeat. The results showed that the algorithmic systems were profitable in the case of Juventus and Bayern whereas in the case of PSG, the system was profitable, but in an inverse way. This study shows that investment strategies that take account of sports sentiment could have a profitable outcome.

Does Algorithmic Trading Affect Analyst Research Production?

2020 ◽  
Author(s):  
Pawel Bilinski ◽  
Irene Karamanou ◽  
Anastasia Kopita ◽  
Marios A. Panayides
Keyword(s):  
Algorithmic Trading ◽  
Research Production

Future of Commodity Markets and Investments

2018 ◽  
Author(s):  
Hunter M. Holzhauer
Keyword(s):  
Supply And Demand ◽  
Commodity Markets ◽  
Investment Banks ◽  
Algorithmic Trading ◽  
Excess Supply ◽  
The Future ◽  
Change Concerns ◽  
Global Population ◽  
Regulatory Trends

This chapter begins with a breakdown of recent growth trends for the overall commodities market. However, the long-term future of the market will heavily depend on three pressing issues: excess supply, increased regulations, and algorithmic trading. The section on excess supply explores how traders are changing strategies to adjust to the current imbalance between supply and demand, especially in the steel industry, and how that imbalance might change in the future based on global population trends and climate change concerns. The next section examines several regulatory trends, including the dramatic exodus of some investment banks from certain segments of the commodities market followed by a section focusing on how algorithmic trading is influencing how commodities are traded. A discussion of potential scenarios for the commodities market follows. The chapter concludes by examining a few ways in which the market and commodity traders may both survive and even thrive in the future.

scholarly journals Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market

2014 ◽  
Vol 69 (5) ◽  
pp. 2045-2084 ◽  
Author(s):  
ALAIN P. CHABOUD ◽  
BENJAMIN CHIQUOINE ◽  
ERIK HJALMARSSON ◽  
CLARA VEGA
Keyword(s):  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Algorithmic Trading ◽  
Exchange Market

Deep Reinforcement Learning for Algorithmic Trading

2021 ◽  
Author(s):  
Álvaro Cartea ◽  
Sebastian Jaimungal ◽  
Leandro Sánchez-Betancourt
Keyword(s):  
Reinforcement Learning ◽  
Algorithmic Trading

Frontiers in Service Science: Fintech Operations—An Overview of Recent Developments and Future Research Directions

2021 ◽  
Vol 13 (1) ◽  
pp. 19-35
Author(s):  
Baile Lu ◽  
Shuai Hao ◽  
Michael Pinedo ◽  
Yuqian Xu
Keyword(s):  
Future Research ◽  
Algorithmic Trading ◽  
Payment Systems ◽  
Research Directions ◽  
Operational Risks ◽  
Technology Industry ◽  
Recent Developments ◽  
Future Research Directions ◽  
Conclusion Section ◽  
Financial Technology

In this paper, we provide a survey of recent developments in the fintech (financial technology) industry, focusing on the operational structures, the technologies involved, and the operational risks associated with the new systems. In particular, we discuss payment systems, algorithmic trading, robo-advisory, crowdfunding, and peer-to-peer lending. In the conclusion section, we discuss various promising research directions.

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