TY - RPRT A1 - Härdle, Wolfgang Karl A1 - Mihoci, Andrija A1 - Hian-Ann Ting, Christopher T1 - Adaptive Order Flow Forecasting with Multiplicative Error Models N2 - A flexible statistical approach for the analysis of time-varying dynamics of transaction data on financial markets is here applied to intra-day trading strategies. A local adaptive technique is used to successfully predict financial time series, i.e., the buyer and the seller-initiated trading volumes and the order flow dynamics. Analysing order flow series and its information content of mini Nikkei 225 index futures traded at the Osaka Securities Exchange in 2012 and 2013, a data-driven optimal length of local windows up to approximately 1-2 hours is reasonable to capture parameter variations and is suitable for short-term prediction. Our proposed trading strategies achieve statistical arbitrage opportunities and are therefore beneficial for quantitative finance practice. KW - Multiplicative Error Models KW - Trading Volume KW - Order Flow KW - Forecasting Y1 - 2014 UR - https://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2014-035.pdf PB - SFB 649 CY - Berlin ER -