scholarly journals Adaptive pairs trading strategy performance in Turkish derivatives exchange with the companies listed on Istanbul stock exchange

2012 ◽  
Vol 18 (2) ◽  
pp. 113-126 ◽  
Author(s):  
Kaan Evren Bolgün ◽  
Engin Kurun ◽  
Serhat Güven
Keyword(s):  
Stock Exchange ◽  
Trading Strategy ◽  
Pairs Trading ◽  
Istanbul Stock Exchange ◽  
Strategy Performance

Unsupervised Learning for Pairs Trading in the National Stock Exchange of India

2021 ◽  
Vol 23 (06) ◽  
pp. 1068-1082
Author(s):  
Chetan Tayal ◽  
◽  
Lalitha V.P ◽  
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Unsupervised Learning ◽  
Stock Exchange ◽  
Statistical Significance ◽  
Search Space ◽  
Trading Strategy ◽  
Pairs Trading ◽  
Statistical Arbitrage ◽  
Main Challenge

Pairs Trading is a widely known and used market-neutral trading strategy that utilizes the concept of statistical arbitrage. It is based on the idea of mean-reverting time series and relies on the spread between two assets to demonstrate that property to buy an asset at a relatively undervalued price and an asset at a relatively overvalued price. This allows investors to manage risk if the market moves strongly in only one direction by making money on one side of the bet. The main challenge of pairs trading is selecting pairs that have an actual underlying relationship and their spread has real statistical significance. In this paper, we present the use of machine learning, specifically unsupervised clustering to construct our search space for pair selection and compare it against a traditional way of selecting pairs. We see that not only are we able to pick out more profitable pairs, these pairs are also less volatile and have less exposure to the market.

On the sensibility of the Pairs Trading strategy: the case of the FTS stock market index

2020 ◽  
Vol 38 (3) ◽  
Author(s):  
Ainhoa Fernández-Pérez ◽  
María de las Nieves López-García ◽  
José Pedro Ramos Requena
Keyword(s):  
Standard Deviation ◽  
Stock Market ◽  
Trading Strategy ◽  
Stock Market Index ◽  
Pairs Trading ◽  
Empirical Application ◽  
Statistical Arbitrage ◽  
Market Index ◽  
Standard Deviations ◽  
Using Data

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.

Istanbul Stock Exchange

1994 ◽  
Vol 30 (3) ◽  
pp. 133-137
Author(s):  
Bahsayis Temir
Keyword(s):  
Stock Exchange ◽  
Istanbul Stock Exchange

Empirical Investigation of an Equity Pairs Trading Strategy

2019 ◽  
Vol 65 (1) ◽  
pp. 370-389 ◽  
Author(s):  
Huafeng (Jason) Chen ◽  
Shaojun (Jenny) Chen ◽  
Zhuo Chen ◽  
Feng Li
Keyword(s):  
Empirical Investigation ◽  
Trading Strategy ◽  
Pairs Trading
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