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Pairs Trading in Cryptocurrency Markets
Fil, Miroslav ; Krištoufek, Ladislav (advisor) ; Hronec, Martin (referee)
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 the data from daily to hourly brings mixed results. Moreover, since we have to reuse estimates of real-life considerations from equity markets, it is unclear if our results are truly representative of the cryp- tocurrency market. The strategy is found to be very sensitive to execution diffi- culties and transaction costs, making their determination crucially important. It is somewhat easy to get returns in excess of 5% monthly under ideal conditions, but whether this could be achieved in real trading conditions is still unclear. Keywords pairs trading,...
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Pairs trading at CEE markets
Šedivý, Jakub ; Maršál, Aleš (advisor) ; Kraicová, Lucie (referee)
We investigate the use of investment strategy called pairs trading on small-sized equity markets located in Central Eastern Europe. Pairs trading is self-financing trading strategy that identifies two stocks based on their historical relationship, and makes profit on their short-term relative mispricing, since the strategy relies on their convergence into the long- term equilibrium. The objective of this thesis is to compare two different methods of pairs trading, distance method based on minimizing the sum of squared deviations between nor- malized historical prices and cointegration method using daily data from June 2008 to March 2017. We examine whether any of those method is profitable on Prague Stock Exchange, Bucharest Stock Exchange and Budapest Stock Exchange and can be used on such markets with high industry diversity. Our findings were not stastically different from zero in all but one case and majority of average returns was negative. In comparison to US and Finnish equity markets the strategy falls behind. Even though we identified some cointegrated pairs, their profitability was more than questionable and further investiga- tion showed that small equity markets such as the ones we have studied are not a good fit for pairs trading strategy.
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Pairs Trading at the Prague Stock Exchange
Nušlová, Alice ; Krištoufek, Ladislav (advisor) ; Křehlík, Tomáš (referee)
Bibliographic entry: NUŠLOVÁ, Alice. Pairs Trading at the Prague Stock Exchange. Prague, 2014. Bachelor thesis, Charles University, Faculty of Social Sciences, Institute of Economic Stud- ies. Supervisor: PhDr. Ladislav Krištoufek Ph.D. Title: Pairs Trading at the Prague Stock Exchange Author: Alice Nušlová Department: Institute of Economic Studies Supervisor: PhDr. Ladislav Krištoufek Ph.D. Supervisor's e-mail address: kristoufek@ies-prague.org Abstract: Since its birth in the 1980s, pairs trading has become a widely used strategy for making profits among hedge funds and institutional investors. This technique identifies pairs of securities whose historical prices show long-run relationship, and takes advantage of their short- term relative mispricing. Profit is generated due to correcting behavior of security prices as they converge towards equilibrium value of their spread. The aim of this thesis is to compare two traditional approaches to pairs trading: cointegration and sum of squared deviations between normalized historical returns, known as distance criterion, within the Prague Stock Exchange equity market. We further investigate whether the two methods, so commonly employed in the US equity market, can be applied with similar success in the PSE. Our results reveal that the strategy using distance...
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