scholarly journals The Analysis of Some Trading Strategy on the Stock Market with the Liquidity Shortage

2021 ◽  
Vol XXIV (Issue 4) ◽  
pp. 273-286
Author(s):  
Marek
2020 ◽  
Vol 38 (3) ◽  
Author(s):  
Ainhoa Fernández-Pérez ◽  
María de las Nieves López-García ◽  
José Pedro Ramos Requena

In this paper we present a non-conventional statistical arbitrage technique based in varying the number of standard deviations used to carry the trading strategy. We will show how values of 1 and 1,2 in the standard deviation provide better results that the classic strategy of Gatev et al (2006). An empirical application is performance using data of the FST100 index during the period 2010 to June 2019.


2019 ◽  
Vol 16 (2) ◽  
pp. 150-158 ◽  
Author(s):  
Alex Plastun ◽  
Inna Makarenko ◽  
Lyudmila Khomutenko ◽  
Svitlana Shcherbak ◽  
Olha Tryfonova

This paper analyzes price gaps in the Ukrainian stock market for the case of UX index over the period 2009–2018. Using different statistical tests (Student’s t-tests, ANOVA, Mann-Whitney test) and regression analysis with dummy variables, as well as modified cumulative approach and trading simulation, the authors test a number of hypotheses searching for price patterns and abnormal market behavior related to price gaps: there is seasonality in price gaps (H1); price gaps generate statistical anomalies in the Ukrainian stock market (H2); upward gaps generate price patterns in the Ukrainian stock market (H3) and downward gaps generate price patterns in the Ukrainian stock market (H4). Overall results are consistent with the Efficient Market Hypothesis: there is no seasonality in price gaps and in most cases there is no evidences of price patterns or abnormal price behavior after the gaps in the Ukrainian stock market. Nevertheless, the authors find very strong and convincing evidences in favor of momentum effect on the days of negative gaps. These observations are confirmed by trading simulations: trading strategy based on detected price pattern generates profits and demonstrates overall efficiency, which is against the market efficiency. These results can be interesting both for academicians (further evidences against market efficiency) and practitioners (real and effective trading strategy to generate profits in the Ukrainian market market).


2019 ◽  
Vol 67 ◽  
pp. 06001 ◽  
Author(s):  
George Abuselidze ◽  
Olga Mohylevska ◽  
Nina Merezhko ◽  
Nadiia Reznik ◽  
Anna Slobodianyk

The article reveals the essence and features of the development of the stock market in Ukraine. It was established that the vigorous activity of countries in the world financial markets means that they also face a risk of global financial turmoil (the so-called “domino effect”). It is determined that the impact of global financial instability on the country depends on the openness of its economy that will lead to significant external “shocks”. The possibility of providing effective influence on domestic stock market activity with taking into account the changing world situation, development of perfect trading strategies for each participant is substantiated. The conducted analysis of the world market conditions of stock markets in recent years has made it possible to assess the real risks for new participants in the stock market and become the basis for the development of an appropriate effective trading strategy. The practical significance of the results is that they allow for a measurable approach to assessing the existing risk when choosing one or another trading strategy to move to the world stock market.


Author(s):  
H. Christine Hsu

Earnings surprise occurs when the firms reported earnings per share deviates from the street estimate. This study shows that earnings surprises are useful in identifying portfolios that yield excess returns in the U.S. tech sector. The tech portfolios with the most positive earnings surprises outperformed the tech portfolios with the most negative earnings surprises in terms of both mean and median returns in the U.S. stock market. The study demonstrates that arbitrage profits could be generated if investors bought (short sold) the tech stocks with the highest earnings surprises (the lowest) two or three months after the end of the quarter. The study demonstrates that this trading strategy is most effective when fewer rather than more financial analysts follow the firms.


Sign in / Sign up

Export Citation Format

Share Document