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Pairs trading of Chinese and international commodities

Applied Economics, 2020
We investigate the profitability of a pairs trading strategy using Chinese and international commodity futures contracts covering the period January 2004 to February 2018. We use a time-series approach where the commodity pairs share a similar underlying.
Adrian Fernández-Pérez   +3 more
semanticscholar   +1 more source

Prediction of the Profitability of Pairs Trading Strategy Using Machine Learning

Conference on Industrial Electronics and Applications, 2020
Pairs trading strategy is one of the well-known quantitative trading strategy developed in 1980s by the team of scientists. There are many researchers trying to study and create the mathematical model to improve the pairs trading strategy on various ...
Ronnachai Jirapongpan, N. Phumchusri
semanticscholar   +1 more source

An Evaluation of Pairs Trading in Commodity Futures Markets

2020 IEEE International Conference on Big Data (Big Data), 2020
Pairs trading is an algorithm to trade two cointegrated assets in order to get neutral profits theoretically. This paper is aimed to demonstrate the cointegration concepts and pairs trading algorithms.
Li Shen, Kun Shen, Chao Yi, Yixin Chen
semanticscholar   +1 more source

Paired Corporate Bond Trades

SSRN Electronic Journal, 2010
Using a newly introduced TRACE variable that identifies the side(s) taken by dealers in each trade, I find that 37 percent of dealer-client trades are accompanied by an inter-dealer trade, usually for the exact same quantity and often executed at the exact second as the client trade. All but 0.4 percent of these trade pairs would involve a non-negative
openaire   +1 more source

Analytic value function for a pairs trading strategy with a Lévy-driven Ornstein–Uhlenbeck process

, 2020
This paper studies the performance of pairs trading strategy under a specific spread model. Based on the empirical evidence of mean reversion and jumps in the spread between pairs of stocks, we assume that the spread follows a Lévy-driven Ornstein ...
Lan Wu, Xin Zang, Hongxin Zhao
semanticscholar   +1 more source

Online Structural Break Detection for Pairs Trading Using Wavelet Transform and Hybrid Deep Learning Model

International Conference on Big Data and Smart Computing, 2020
Pairs trading is a statistical arbitrage strategy which first monitors two stocks whose prices are cointegrated, and then makes arbitrage when the prices of these two stocks get non-conintegrated.
Shen-Hang Huang   +7 more
semanticscholar   +1 more source

Empirical Investigation of an Equity Pairs Trading Strategy

Management Sciences, 2017
We show that an equity pairs trading strategy generates large and significant abnormal returns. We find that this return is not driven purely by the short-term reversal of returns.
Huafeng (Jason) Chen   +3 more
semanticscholar   +1 more source

Improving Pairs Trading Using Neural Network Techniques and Fundamental Ratios

, 2020
Pairs trading is a quantitative trading strategy consisting on identifying two stocks that historically move together and, using the assumption that their prices difference has mean- reverting properties, exploit the deviation from the mean by taking ...
J. Ospino   +2 more
semanticscholar   +1 more source

Cryptocurrency Pair Trading

SSRN Electronic Journal, 2023
Chiara Lesa, Ronald Hochreiter
openaire   +1 more source

Simulated Trading-An Analysis of Pairs Trading [PDF]

open access: possible, 2004
In this report, we explain and analyze a trading strategy, popularly known as Pairs trading. We begin by explaining what a pair trading strategy entails. Since there are various ways of implementing the strategy, we describe the methodology selected by us in section 3. Thereafter, we look at the returns from the strategy and benchmark it to the S&P 500
Nikesh Agarwal   +2 more
openaire  

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