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Statistical arbitrage under the efficient market hypothesis
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作者 Si Bao Shi Chen +2 位作者 Xi Wang Wei An Zheng Yu Zhou 《Statistical Theory and Related Fields》 2020年第1期84-96,共13页
When a financial derivative can be traded consecutively and its terminal payoffs can be adjusted into a stationary time series,there might be a statistical arbitrage opportunity even under the efficient market hypothe... When a financial derivative can be traded consecutively and its terminal payoffs can be adjusted into a stationary time series,there might be a statistical arbitrage opportunity even under the efficient market hypothesis.In particular,we show the examples of selling put options of the three major ETFs(Exchange Traded Funds)in the U.S.market. 展开更多
关键词 Stationary process statistical arbitrage Black-Scholes model
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Forecasting semi-stationary processes and statistical arbitrage
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作者 Si Bao Shi Chen +1 位作者 Wei An Zheng Yu Zhou 《Statistical Theory and Related Fields》 2020年第2期179-189,共11页
If a financial derivative can be traded consecutively and its terminal payoffs can be adjusted as the sum of a bounded process and a stationary process,then we can use the moving average of the historical payoffs to f... If a financial derivative can be traded consecutively and its terminal payoffs can be adjusted as the sum of a bounded process and a stationary process,then we can use the moving average of the historical payoffs to forecast and the corresponding errors form a generalised mean reversion process.Thus we can price the financial derivatives by its moving average.One can even possibly get statistical arbitrage from certain derivative pricing.Weparticularly discuss the example of European call options.We show that there is a possibility to get statistical arbitrage from Black-Scholes’s option price. 展开更多
关键词 Stationary process statistical arbitrage Black–Scholes
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Copula‑based trading of cointegrated cryptocurrency Pairs
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作者 Masood Tadi Jiři Witzany 《Financial Innovation》 2025年第1期1235-1266,共32页
This study introduces a novel pairs trading strategy based on copulas for cointegrated pairs of cryptocurrencies.To identify the most suitable pairs and generate trading signals formulated from a reference asset for a... This study introduces a novel pairs trading strategy based on copulas for cointegrated pairs of cryptocurrencies.To identify the most suitable pairs and generate trading signals formulated from a reference asset for analyzing the mispricing index,the study employs linear and nonlinear cointegration tests,a correlation coefficient measure,and fits different copula families,respectively.The strategy’s performance is then evaluated by conducting back-testing for various triggers of opening positions,assessing its returns and risks.The findings indicate that the proposed method outperforms previously examined trading strategies of pairs based on cointegration or copulas in terms of profitability and risk-adjusted returns. 展开更多
关键词 statistical arbitrage Pairs trading COINTEGRATION COPULAS Cryptocurrency market
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