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We advocate the use of absolute moment ratio statistics in conjunctionwith standard variance ratio statistics in order to disentangle lineardependence, non-linear dependence, and leptokurtosis in financial timeseries. Both statistics are computed for multiple return horizonssimultaneously, and...
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In this paper we consider two cases of pairs trading strategies: a conditional statistical arbitrage method and an implicit statistical arbitrage method. We use a simulation-based Bayesian procedure for predicting stable ratios, defined in a cointegration model, of pairs of stock prices. We show...
Persistent link: https://www.econbiz.de/10010259626
This paper provides an empirical description of the relationshipbetween the trading system operated by a stockexchange and the transaction costs faced by heterogeneous investors who use the exchange. Therecent introduction ofSETS in the London Stock Exchange provides an excellent opportunity...
Persistent link: https://www.econbiz.de/10011300557
This paper discusses the design, implementation and use of standards from the perspective of transaction costs economics. A proper design and implementation of standards may lead to a considerable reduction of transaction costs, which enhances trade and, consequently, economic welfare. A major...
Persistent link: https://www.econbiz.de/10011373830
According to economic theory, there are no strong reasons to tax (or to subsidise) residential moves, although low …
Persistent link: https://www.econbiz.de/10011377118
How much does a nation spend on resources to 'grease the wheels of trade'? To examine this question the Dutch economy is used as an exemplary case as the Netherlands are known as a nation of traders. This image was derived in the seventeenth century from successes in long distance trade,...
Persistent link: https://www.econbiz.de/10011334366
This paper compares the statistical and economic performance of state-of-the-art highfrequency based multivariate volatility models with a simpler, widely used alternative-the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S. stock returns (2002-2023), we...
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