Pairs trading is a trading strategy which tries to exploit mean-reversion among prices of certain securities. It is market-neutral and self-financing, and has been shown to produce high excess returns in historical backtests. We employ the most common distance and cointegration approaches on cryp- tocurrency data from an exchange called Binance spanning the year 2018. The strategy is mostly unprofitable under transaction costs, but certain combinations of hyperparameters can perform well. Overall, the distance method performs far better, being able to achieve 3% monthly profit even in our baseline real-life con- ditions while the cointegration method always achieves only a slight loss. We also found that increasing the sampling frequency of...
Pairs trading is one of the most commonly used market neutral strategies. Over the last few years, s...
Statistical arbitrage is based on pairs trading of mean-reverting returns. We used cointegrationappr...
International audienceStatistical arbitrage is based on pairs trading of mean-reverting returns. We ...
Pairs trading that is built on ’Relative-Value Arbitrage Rule’ is a popular short-term speculation s...
Abstract This paper applies cointegration tests to identify cryptocurrency pairs which can be used i...
This thesis analyzes the performance and process of constructing portfolios of cryptocurrency pairs ...
We propose a new performance metric for describing the profitability of pairs trading and perform a ...
Pairs trading is a strategy that takes advantage of the temporary mispricing of two assets with a lo...
International audiencePairs trading is a popular dollar-neutral trading strategy. This article, usin...
International audiencePairs trading is a popular dollar-neutral trading strategy. This article, usin...
We implement the arbitrage strategies, Pair trading in the foreign exchange markets. Utilizing daily...
We perform an extensive and robust study of the performance of three different pairs trading strateg...
We investigate the use of investment strategy called pairs trading on small-sized equity markets loc...
Pairs trading is a statistical arbitrage strategy aimed at exploiting temporary divergences in asset...
Since its’ invention at Morgan Stanley in 1987 pairs trading has grown to be one of the most common ...
Pairs trading is one of the most commonly used market neutral strategies. Over the last few years, s...
Statistical arbitrage is based on pairs trading of mean-reverting returns. We used cointegrationappr...
International audienceStatistical arbitrage is based on pairs trading of mean-reverting returns. We ...
Pairs trading that is built on ’Relative-Value Arbitrage Rule’ is a popular short-term speculation s...
Abstract This paper applies cointegration tests to identify cryptocurrency pairs which can be used i...
This thesis analyzes the performance and process of constructing portfolios of cryptocurrency pairs ...
We propose a new performance metric for describing the profitability of pairs trading and perform a ...
Pairs trading is a strategy that takes advantage of the temporary mispricing of two assets with a lo...
International audiencePairs trading is a popular dollar-neutral trading strategy. This article, usin...
International audiencePairs trading is a popular dollar-neutral trading strategy. This article, usin...
We implement the arbitrage strategies, Pair trading in the foreign exchange markets. Utilizing daily...
We perform an extensive and robust study of the performance of three different pairs trading strateg...
We investigate the use of investment strategy called pairs trading on small-sized equity markets loc...
Pairs trading is a statistical arbitrage strategy aimed at exploiting temporary divergences in asset...
Since its’ invention at Morgan Stanley in 1987 pairs trading has grown to be one of the most common ...
Pairs trading is one of the most commonly used market neutral strategies. Over the last few years, s...
Statistical arbitrage is based on pairs trading of mean-reverting returns. We used cointegrationappr...
International audienceStatistical arbitrage is based on pairs trading of mean-reverting returns. We ...