Results 31 to 40 of about 142,438 (299)

Evaluating the Suitability of the Simplified Pairs Trading Strategy for Short-term Equity Market Trading

open access: yesComparative Economic Research
Pairs trading has been a successful tool for traders since its inception in the 1980s and has evolved significantly with the introduction of algorithmic, machine, and AI trading.
Julija Mosina, Grigorij Žilinskij
doaj   +1 more source

Modeling Similarities Among Multi-Dimensional Financial Time Series

open access: yesIEEE Access, 2018
Pairs trading is one of the most successful strategies for stock investment. The performance of pairs trading heavily depends on modeling how similarity of two paired financial signals.
Dawei Cheng   +3 more
doaj   +1 more source

Stochastic Neural Networks-Based Algorithmic Trading for the Cryptocurrency Market

open access: yesMathematics, 2022
Throughout the history of modern finance, very few financial instruments have been as strikingly volatile as cryptocurrencies. The long-term prospects of cryptocurrencies remain uncertain; however, taking advantage of recent advances in neural networks ...
Vasu Kalariya   +7 more
doaj   +1 more source

Review of stochastic differential equations in statistical arbitrage pairs trading

open access: yesManagerial Economics, 2020
The use of stochastic differential equations offers great advantages for statistical arbitrage pairs trading. In particular, it allows the selection of pairs with desirable properties, e.g., strong mean-reversion, and it renders traditional rules of ...
Sylvia Endres
doaj   +1 more source

An innovative high-frequency statistical arbitrage in Chinese futures market

open access: yesJournal of Innovation & Knowledge, 2023
The primary use of futures is hedging risk. Traders in the spot market can hedge certain risks through the futures market. With the development of the futures market, the arbitrage transactions around futures have attracted increasingly attention.
Chengying He   +3 more
doaj   +1 more source

On the Profitability of Optimal Mean Reversion Trading Strategies

open access: yes, 2016
We study the profitability of optimal mean reversion trading strategies in the US equity market. Different from regular pair trading practice, we apply maximum likelihood method to construct the optimal static pairs trading portfolio that best fits the ...
Huang, Peng, Wang, Tianxiang
core   +1 more source

Demystifying pairs trading

open access: yes, 2022
This thesis contributes to the literature on algorithm-based hedge fund strategies with new insights into pairs trading to further demystify the rule-based trading strategy. Thereby, I closely follow the popular trading approach of Gatev, Goetzmann, and Rouwenhorst (2006). After introducing the methodology, the return calculation, and previous academic
openaire   +2 more sources

Pairs trading in the index options market

open access: yesEurasian Economic Review, 2021
We test the Index options market efficiency by means of a statistical arbitrage strategy, i.e. pairs trading. Using data on five Index Option Market of the Euro Area, we first identify any potential option mispricing based on deviations from the long-run relationship linking their implied volatilities.
Marianna Brunetti, Roberta De Luca
openaire   +2 more sources

Pairs Trading under Drift Uncertainty and Risk Penalization

open access: yes, 2018
In this work, we study a dynamic portfolio optimization problem related to pairs trading, which is an investment strategy that matches a long position in one security with a short position in another security with similar characteristics.
Altay, Sühan   +2 more
core   +2 more sources

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

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