Algorithmic trading

About: Algorithmic trading is a research topic. Over the lifetime, 6718 publications have been published within this topic receiving 162209 citations. The topic is also known as: algotrading & Algorithmic trading.

Intra-daily Volume Modeling and Prediction for Algorithmic Trading

Abstract: The explosion of algorithmic trading has been one of the most prominent recent trends in the financial industry. Algorithmic trading consists of automated trading strategies that attempt to minimize transaction costs by optimally placing orders. The key ingredient of many of these strategies are intra-daily volume proportions forecasts. This work proposes a dynamic model for intra-daily volumes that captures salient features of the series such as time series dependence, intra-daily periodicity and volume asymmetry. Moreover, we introduce a loss functions for the evaluation of proportions forecasts which retains both an operational and information theoretic interpretation. An empirical application on a set of widely traded index ETFs shows that the proposed methodology is able to significantly outperform common forecasting methods and delivers significantly more precise predictions for VWAP trading.

Methods and systems for trading of futures contracts for intangible assets

Abstract: Methods and systems for trading of future contracts for intangible assets are provided. The methods and systems allow traders to access information on intangible asset futures contracts and future contract funds and to execute their trades in a computer-based futures exchange. Intangible assets include future royalties or revenues from artistic works or future salaries of professionals, for instance. The futures exchange system provides real-time trading status on the futures contracts or funds as well as detailed information on contract terms. Quotes may be matched automatically by the futures exchange. Sensitivity analysis of various factors on the outcome of futures contracts valuation may be provided. Additionally, offer and contract terms for categories of intangible assets may be standardized in the futures exchange for trading simplification.

Multiple quote risk management

Abstract: The disclosed systems and methods relate to allowing trading of over the counter (“OTC”) foreign exchange (“FX”) contracts on a centralized matching and clearing mechanism, such as that of the Chicago Mercantile Exchange's (“CME”'s) futures exchange system (the “Exchange”). The disclosed systems and methods allow for anonymous transactions, centralized clearing, efficient settlement and the provision of risk management/credit screening mechanisms to lower risk, reduce transaction costs and improve the liquidity in the FX market place. In particular, the disclosed embodiments increase speed of execution facilitating growing demand for algorithmic trading, increased price transparency, lower cost of trading, customer to customer trading, and automated asset allocations, recurring trades as well as clearing and settlement efficiencies.

Empirical evidence on feedback trading in mature and emerging stock markets

Abstract: We investigate the hypothesis that some participants in mature and emerging stock markets engage in feedback trading. The analysis is based on the Shiller–Sentana–Wadhwani model, which has the attractive property that it yields testable implications about the presence of positive and negative feedback traders in stock markets. In addition, the Shiller–Sentana–Wadhwani model is particularly well-suited to investigate whether momentum type behaviour might be present during periods of large stock market downturns. This theoretical framework, together with asymmetric GARCH-type models, allows us to draw conclusions whether differences exist between mature and emerging stock markets in terms of the degree of feedback trading as well as the behaviour of traders during stock market crashes.