Exploiting Investor Sentiment for Portfolio Optimization

Name: Exploiting Investor Sentiment for Portfolio Optimization
Brand: Grin Publishing
SKU: 9783668799516
Price: 177.91 PLN
Availability: InStock

Autor: Nicolas Banholzer

Język:

Oprawa: Miękka

Wydawca: Grin Publishing

Dostępność: Dostępna u dostawcy

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177.91 zł

Master's Thesis from the year 2018 in the subject Statistics, grade: 1.0, University of Augsburg (Wi...

Informacje o książce

Autor

Nicolas Banholzer

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2018

strony

120

EAN

9783668799516

Enbook ID

20395386

Wydawca

Grin Publishing

Waga

184

Wymiary

148 x 210 x 8

Pełny opis

Master's Thesis from the year 2018 in the subject Statistics, grade: 1.0, University of Augsburg (Wirtschaftswissenschaftliche Fakultät, Lehrstuhl für Statistik), language: English, abstract: In efficient financial markets, there is no room for sentimental investors. Any new information would be immediately absorbed and any mispricing immediately corrected by the forces of rational arbitrageurs doing the maths with the fundamentals. But why should financial markets be different from any other market where humans interact and are subject to psychological biases? There is strong empirical evidence that investor sentiment, broadly defined as "a belief about future cash flows and investment risks that is not justified by the facts at hand", plays an important role in financial markets. It can lead to significant overpricing/underpricing, particularly of assets prone to subjective valuations. With limits/risks to arbitrage in the short term, prices rather correct over the medium to long term as sentimental beliefs mean-revert. Building on the studies by Baker and Wurgler 2006 and Baker, Wurgler, and Y. Yuan 2012, measures of investor sentiment for international markets are constructed. Using the Copula Opinion Pooling approach developed by Attilio Meucci, this thesis shows how to incorporate these sentiment measures into portfolio optimization. Thereby, a sentiment-based trading strategy that exploits the medium-term reversal effect of sentiment is developed and empirically tested. The results are promising as they provide strong evidence that sentiment contains beneficial information that should not be neglected by quantitative portfolio managers.

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