Arbeitspapier

Predicative Ability of Similarity-based Futures Trading Strategies

A trading rule that draws on the empirical similarity concept is proposed to simulate the technical trading mentality|one that selectively perceives structural resemblances between market scenarios of the present and the past. In more than half of the nineteen futures markets that we test against for protability of this similarity-based trading rule, we nd evidence of predictive ability that is robust to data-snooping and transaction-cost adjust- ments. When aided by an exit strategy that liquidates the trader's positions across some evenly-spaced time points, this rule generates the most robust returns.

Sprache
Englisch

Erschienen in
Series: IRTG 1792 Discussion Paper ; No. 2018-045

Klassifikation
Wirtschaft
Portfolio Choice; Investment Decisions
Asset Pricing; Trading Volume; Bond Interest Rates
Thema
empirical similarity
technical trading
futures markets
analogical reasoning

Ereignis
Geistige Schöpfung
(wer)
Chiu, Hsin-Yu
Chiang, Mi-Hsiu
Kuo, Wei-Yu
Ereignis
Veröffentlichung
(wer)
Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"
(wo)
Berlin
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Chiu, Hsin-Yu
  • Chiang, Mi-Hsiu
  • Kuo, Wei-Yu
  • Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"

Entstanden

  • 2018

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