Arbeitspapier

Size matters! How position sizing determines risk and return of technical timing strategies

The application of a technical trading rule, which just provides long and short signals, requires the investor to decide upon the exposure to stake in each trade. Although this position sizing (or money management) crucially affects the risk and return characteristics, recent academic literature has largely ignored this effect, leaving reported results incomparable. This work systematically analyzes the impact of position sizing on timing strategies and clarifies the relation to the Kelly criterion, which proposes to bet relative fractions from the remaining gambling budget. Both erratic as well as different relative positions, i.e. fixed proportions of the remaining portfolio value, are compared for simple moving average trading rules. The simulation of parametrized return series allows systematically varying those asset price properties, which are most in uential on timing results: drift, volatility, and autocorrelation. The study reveals that the introduction of relative position sizing has a severe impact on trading results compared to erratic positions. In contrast to a standard Kelly framework, however, an optimal position size does not exist. Interestingly, smaller trading fractions deliver the highest risk-adjusted returns in most scenarios.

Sprache
Englisch

Erschienen in
Series: CPQF Working Paper Series ; No. 31

Klassifikation
Wirtschaft
Portfolio Choice; Investment Decisions
Thema
Kelly criterion
money management
parameterized simulation
position sizing
technical analysis
technical trading
timing strategy
Portfolio-Management
Wertpapierhandel
Wertpapieranalyse
Zeit
Strategie

Ereignis
Geistige Schöpfung
(wer)
Scholz, Peter
Ereignis
Veröffentlichung
(wer)
Frankfurt School of Finance & Management, Centre for Practical Quantitative Finance (CPQF)
(wo)
Frankfurt a. M.
(wann)
2012

Handle
Letzte Aktualisierung
10.03.2025, 11:45 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

  • Scholz, Peter
  • Frankfurt School of Finance & Management, Centre for Practical Quantitative Finance (CPQF)

Entstanden

  • 2012

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