The object of the following elaborate is to present a new model with the aim of explaining and making predictions on the future performance of the UK Equity Risk Premium (ERP) in the light of the most recent academic writings relating to this topic. In particular, the work is based and tries to combine the works of Faria and Verona (2018) and of Adämmer P. and Schüssler, R. A., (2019). Specifically, using Term Spread frequencies, obtained thanks to the type of Wavelet decomposition known with the acronym of DWTMA, and a monthly index relating to the political uncertainty of the United Kingdom.
Oggetto del seguente elaborato è quello di presentare un nuovo modello con l’obiettivo di spiegare e fare previsioni sull’ andamento futuro del Equity Risk Premium (ERP) del Regno Unito alla luce dei più recenti scritti in ambito accademico inerenti a questo argomento. In particolare, il lavoro si basa e cerca di combinare i lavori di Faria e Verona (2018) e di Adämmer P. and Schüssler, R. A., (2019). Nello specifico attraverso l’utilizzo di frequenze del Term Spread, ottenute grazie alla tipologia di Wavelet decomposition nota con l’acronimo di DWTMA, e di un indice mensile relativo all’ incertezza politica (policy uncertainty) del Regno Unito.
Investigating the Equity Risk Premium of the United Kingdom with Term Spread Frequencies and a Policy Uncertainty Measure.
SCHIVO, MATTEO
2018/2019
Abstract
The object of the following elaborate is to present a new model with the aim of explaining and making predictions on the future performance of the UK Equity Risk Premium (ERP) in the light of the most recent academic writings relating to this topic. In particular, the work is based and tries to combine the works of Faria and Verona (2018) and of Adämmer P. and Schüssler, R. A., (2019). Specifically, using Term Spread frequencies, obtained thanks to the type of Wavelet decomposition known with the acronym of DWTMA, and a monthly index relating to the political uncertainty of the United Kingdom.È consentito all'utente scaricare e condividere i documenti disponibili a testo pieno in UNITESI UNIPV nel rispetto della licenza Creative Commons del tipo CC BY NC ND.
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https://hdl.handle.net/20.500.14239/6089