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Evaluating active investing with generic trading reactions
Author(s) -
ZoicasIenciu Adrian
Publication year - 2021
Publication title -
international journal of finance and economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.505
H-Index - 39
eISSN - 1099-1158
pISSN - 1076-9307
DOI - 10.1002/ijfe.1833
Subject(s) - tweaking , leverage (statistics) , equity (law) , benchmark (surveying) , econometrics , economics , trading strategy , financial economics , sample (material) , excess return , computer science , machine learning , paleontology , chemistry , context (archaeology) , geodesy , chromatography , political science , law , biology , geography , operating system
We evaluate the performance of rules using past information to generate daily trading signals. Assuming generic trading reactions to buy and sell signals, we derive an analytic excess return that isolates commissions, interests, the impact of trading timing, and that of the benchmark's choice. The result is useful in dealing with data snooping through leverage and benchmark tweaking. We illustrate the empirical implications by examining trend‐following performance across Dow Jones Industrial Average (1927–2016) and an international sample of major equity indexes and blue‐chip stocks (1980–2016). The results show substantial, fading, non‐persistent and highly methodology‐sensitive excess returns.