Maximum Drawdown, Recovery, and Momentum
We empirically test predictability on asset price using stock selection rules based on maximum drawdown and its consecutive recovery. In various equity markets, monthly momentum- and weekly contrarian-style portfolios constructed from these alternative selection criteria are superior not only in for...
Guardado en:
Autor principal: | |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0b95c468ba4c49ab8f861fd695b32a90 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:0b95c468ba4c49ab8f861fd695b32a90 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:0b95c468ba4c49ab8f861fd695b32a902021-11-25T18:08:40ZMaximum Drawdown, Recovery, and Momentum10.3390/jrfm141105421911-80741911-8066https://doaj.org/article/0b95c468ba4c49ab8f861fd695b32a902021-11-01T00:00:00Zhttps://www.mdpi.com/1911-8074/14/11/542https://doaj.org/toc/1911-8066https://doaj.org/toc/1911-8074We empirically test predictability on asset price using stock selection rules based on maximum drawdown and its consecutive recovery. In various equity markets, monthly momentum- and weekly contrarian-style portfolios constructed from these alternative selection criteria are superior not only in forecasting directions of asset prices but also in capturing cross-sectional return differentials. In monthly periods, the alternative portfolios ranked by maximum drawdown measures exhibit outperformance over other alternative momentum portfolios including traditional cumulative return-based momentum portfolios. In weekly time scales, recovery-related stock selection rules are the best ranking criteria for detecting mean-reversion. For the alternative portfolios and their ranking baskets, improved risk profiles in various reward-risk measures also imply more consistent prediction on the direction of assets in future. Moreover, turnover rates of these momentum/contrarian portfolios are also reduced with respect to the benchmark portfolios. In the Carhart four-factor analysis, higher factor-neutral intercepts for the alternative strategies are another evidence for the robust prediction by the alternative stock selection rules.Jaehyung ChoiMDPI AGarticlemomentummean-reversionmaximum drawdownrecoveryalternative stock selection rulesRisk in industry. Risk managementHD61FinanceHG1-9999ENJournal of Risk and Financial Management, Vol 14, Iss 542, p 542 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
momentum mean-reversion maximum drawdown recovery alternative stock selection rules Risk in industry. Risk management HD61 Finance HG1-9999 |
spellingShingle |
momentum mean-reversion maximum drawdown recovery alternative stock selection rules Risk in industry. Risk management HD61 Finance HG1-9999 Jaehyung Choi Maximum Drawdown, Recovery, and Momentum |
description |
We empirically test predictability on asset price using stock selection rules based on maximum drawdown and its consecutive recovery. In various equity markets, monthly momentum- and weekly contrarian-style portfolios constructed from these alternative selection criteria are superior not only in forecasting directions of asset prices but also in capturing cross-sectional return differentials. In monthly periods, the alternative portfolios ranked by maximum drawdown measures exhibit outperformance over other alternative momentum portfolios including traditional cumulative return-based momentum portfolios. In weekly time scales, recovery-related stock selection rules are the best ranking criteria for detecting mean-reversion. For the alternative portfolios and their ranking baskets, improved risk profiles in various reward-risk measures also imply more consistent prediction on the direction of assets in future. Moreover, turnover rates of these momentum/contrarian portfolios are also reduced with respect to the benchmark portfolios. In the Carhart four-factor analysis, higher factor-neutral intercepts for the alternative strategies are another evidence for the robust prediction by the alternative stock selection rules. |
format |
article |
author |
Jaehyung Choi |
author_facet |
Jaehyung Choi |
author_sort |
Jaehyung Choi |
title |
Maximum Drawdown, Recovery, and Momentum |
title_short |
Maximum Drawdown, Recovery, and Momentum |
title_full |
Maximum Drawdown, Recovery, and Momentum |
title_fullStr |
Maximum Drawdown, Recovery, and Momentum |
title_full_unstemmed |
Maximum Drawdown, Recovery, and Momentum |
title_sort |
maximum drawdown, recovery, and momentum |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/0b95c468ba4c49ab8f861fd695b32a90 |
work_keys_str_mv |
AT jaehyungchoi maximumdrawdownrecoveryandmomentum |
_version_ |
1718411541898854400 |