scholarly journals Algorithmic trading based on the fear of Covid-19 in Europe

2021 ◽  
Vol 10 (2) ◽  
pp. 295-304
Author(s):  
Raúl Gómez Martínez ◽  
Camilo Prado Román ◽  
Gabriel Cachón Rodríguez
Keyword(s):  
Financial Markets ◽  
Behavioral Finance ◽  
Algorithmic Trading ◽  
Trading System ◽  
Technical Indicators ◽  
The Future

he spread of Covid-19 in Europe has affected our way of living, thinking, and even investing. The fear of the epidemic caused a context of maximum uncertainty and volatility in financial markets, which were driven by fear of the spread of the epidemic. In this article we propose an algorithmic trading system on the future of the Eurostoxx 50 that, instead of following technical indicators, follows the number of cases confirmed by Covid-19 in Europe. The back test of this system carried out throughout the weeks of confinement shows that the system is profitable. In this context, confirmed cases data is useful to assess investors’ mood and anticipate the evolution of the market. Therefore, an alternative way of investing arises for maximum uncertainty contexts, based exclusively on behavioral finance.

scholarly journals THE POWER OF NO-LAG TECHNICAL INDICATORS IN ALGORITHMIC TRADING

2021 ◽  
pp. 90-99
Author(s):  
Frédéric BUTIN
Keyword(s):  
Fundamental Property ◽  
Algorithmic Trading ◽  
Bounded Operators ◽  
Trading System ◽  
Major Drawback ◽  
Technical Indicators ◽  
Time Dynamics ◽  
Impulse System ◽  
Instantaneous Values ◽  
Better Than

In the framework of technical analysis for algorithmic trading we introduce an original approach to classical technical indicators. For this, we consider technical indicators as bounded operators: this more abstract, but also more algorithmic view enables us to define in a very simple way the no-lag versions of these tools. Delay in response is indeed a major drawback of many classical technical indicators used in algorithmic trading, which often leads to a wrong information. On the contrary, with the no-lag versions of the indicators that we study here, we get better information that is closer to the instantaneous values of the securities, hence a better expected rate of return of the trading system in which they occur. After having recalled the definitions of weighted and exponential averages as bounded operators, we prove that the lag possesses a fundamental property that is very useful to create no-lag versions of technical indicators. This being done, we apply our results to a basic trading system and test it on the S&P 500 index, in order to compare the classical Elder’s impulse system with its no-lag version and the so-called Nyquist-Elder’s impulse system: we observe on this example that the no-lag versions of indicators lead to much more profitable systems. More precisely, the Nyquist-Elder’s impulse system is much better than the Elder’s impulse system without lag, which is itself better than the classical impulse system: the information given by Nyquist-Elder’s impulse system is indeed closer to the instantaneous value of the S&P 500 index since it has less delay than the classical impulse system: Nyquist-Elder’s impulse system is even the closest to the instantaneous value among the three ones. We eventually compare the profit/loss of four portfolios (a portfolio that replicates S&P 500 index, and one for every of the three impulse systems) in order to better understand the time dynamics of our three Elder’s impulse systems. As far as we can see, we also notice a lower draw-down for the portfolio associated to the system using the Nyquist-Elder’s impulse system than for the other ones, and this portfolio seems to be more resistant to bearish periods.

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.

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.

The Future Ain’t What It Used to Be

2018 ◽  
Author(s):  
Ashoka Mody
Keyword(s):  
Financial Markets ◽  
Social Problems ◽  
Financial Integration ◽  
Fiscal Rules ◽  
Fiscal Discipline ◽  
European Project ◽  
The Future ◽  
The Right

This chapter describes two scenarios, the two possible ways in which the final act of the European project plays out. In the first scenario, European authorities remain confident that they have essentially been on the right track and they continue to make modest course corrections, which they believe will ensure a brighter European future. However, the elusive and frustrating pursuit of deeper economic and financial integration causes more economic and political damage. Setbacks and crises recur to test the euro and its accompanying political vision. In the second scenario, the pro-European vision, European authorities recognize the important truth that “more Europe” will not solve Europe's most pressing economic and social problems. They dismantle the economically counterproductive and politically corrosive system of fiscal rules and rely more on financial markets to enforce fiscal discipline. Paradoxically, the euro survives, not because it adds value but because it becomes largely irrelevant.

scholarly journals The future of financial markets and regulation: what strategy for Europe?

foresight ◽  
2014 ◽  
Vol 16 (2) ◽  
pp. 95-108 ◽  
Author(s):  
Jean-Baptiste Gossé ◽  
Dominique Plihon
Keyword(s):  
Financial Markets ◽  
Capital Market ◽  
Financial Stability ◽  
Design Methodology ◽  
Financial Integration ◽  
Content Type ◽  
Realistic Option ◽  
The Future ◽  
Unstable Environment ◽  
Insight Into

Purpose – This article aims to provide insight into the future of financial markets and regulation in order to define what would be the best strategy for Europe. Design/methodology/approach – First the authors define the potential changes in financial markets and then the tools available for the regulator to tame them. Finally, they build five scenarios according to the main evolutions observed on the financial markets and on the tools used by the regulator to modify these trends. Findings – Among the five scenarios defined, two present highly unstable features since the regulator refuses to choose between financial opening and independently determining how to regulate finance in order to preserve financial stability. Three of them achieve financial stability. However, they are more or less efficient or feasible. In terms of market efficiency, the multi-polar scenario is the best and the fragmentation scenario is the worst, since gains of integration depend on the size of the new capital market. Regarding sovereignty of regulation, fragmentation is the best scenario and the multi-polar scenario is the worst, because it necessitates coordination at the global level which implies moving further away from respective national preferences. However, the more realistic option seems to be the regionalisation scenario: this level of coordination seems much more realistic than the global one; the market should be of sufficient size to enjoy substantial benefits of integration. Nevertheless, the “European government” might gradually increase the degree of financial integration outside Europe in line with the degree of cooperation with the rest of the world. Originality/value – Foresight studies on financial markets and regulation are quite rare. This may be explained by the difficulty to forecast what will be their evolution in the coming decades, not least because finance is fundamentally unstable. This paper provides a framework to consider what could be the best strategy of regulators in such an unstable environment.

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