Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10362/157249Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.advisor | Hirschey, Nicholas | - |
| dc.contributor.author | Hesse, Rouven Leon | - |
| dc.date.accessioned | 2023-09-02T14:04:20Z | - |
| dc.date.available | 2023-09-02T14:04:20Z | - |
| dc.date.issued | 2023-01-17 | - |
| dc.date.submitted | 2022-12-16 | - |
| dc.identifier.uri | http://hdl.handle.net/10362/157249 | - |
| dc.description.abstract | This research explored whether the performance of investment strategies based on liquidity can be enhanced by combining liquidity with size and optimizing the cut-off levels for liquidity quantiles. The Amihud (2002) illiquidity ratio is the underlying liquidity measure used for the analysis. In the in-sample period the strategy investing in the 10% of the stocks with the lowest liquidity in the S&P500 achieved the highest risk adjusted return. The results found in the in sample period cannot be replicated in the out-of-sample period. | pt_PT |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.rights | openAccess | pt_PT |
| dc.subject | Quantitative investing | pt_PT |
| dc.subject | Factor investing | pt_PT |
| dc.subject | Portfolio construction | pt_PT |
| dc.subject | Stock liquidity | pt_PT |
| dc.title | Using the amihud illiquidity ratio to optimize a quantitative investment strategy | pt_PT |
| dc.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics | pt_PT |
| dc.identifier.tid | 203310713 | pt_PT |
| dc.subject.fos | Domínio/Área Científica::Ciências Sociais::Economia e Gestão | pt_PT |
| Aparece nas colecções: | NSBE: Nova SBE - MA Dissertations | |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 2022_23_Fall_Rouven_Hesse_49309.pdf | 2,36 MB | Adobe PDF | Ver/Abrir |
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