000 02312nam a2200373 i 4500
001 CR9781009397315
003 UkCbUP
005 20240508141514.0
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020 _a9781009397315 (ebook)
020 _z9781009397292 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHG4521
_b.L819 2023
082 0 0 _a332.6
_223/eng/20230824
100 1 _aLópez de Prado, Marcos Mailoc,
_eauthor.
245 1 0 _aCausal factor investing :
_bcan factor investing become scientific? /
_cMarcos M. López de Prado, ADIA Lab.
264 1 _aCambridge, United Kingdom ; New York, NY :
_bCambridge University Press,
_c2023.
300 _a1 online resource (81 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge elements. Elements in quantitative finance,
_x2631-8571
500 _aOpen Access
500 _aTitle from publisher's bibliographic system (viewed on 12 Oct 2023).
520 _aVirtually all journal articles in the factor investing literature make associational claims, instead of causal claims. Authors do not identify the causal graph consistent with the observed phenomenon, they justify their chosen model specification in terms of correlations, and they do not propose experiments for falsifying causal mechanisms. Absent a causal theory, their findings are likely false, due to rampant backtest overfitting and incorrect specification choices. This Element differentiates between type-A and type-B spurious claims, and explains how both types prevent factor investing from advancing beyond its current phenomenological stage. It analyzes the current state of causal confusion in the factor investing literature, and proposes solutions with the potential to transform factor investing into a truly scientific discipline. This title is also available as Open Access on Cambridge Core.
650 0 _aInvestments.
650 0 _aAsset allocation.
650 0 _aPortfolio management.
776 0 8 _iPrint version:
_z9781009397292
830 0 _aCambridge elements. Elements in quantitative finance,
_x2631-8571.
856 4 0 _uhttps://doi.org/10.1017/9781009397315
999 _c38520
_d38520