Investor Sentiment and Forecasting Ability

Investor Sentiment and Forecasting Ability
Author: Yang Zhang
Publisher:
Total Pages: 41
Release: 2017
Genre:
ISBN:


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Exploring the information contained in Commodity Futures Trading Commission's (CFTC) Commitments of Traders (COT) reports, this analysis investigates the forecasting ability of investor sentiment index in three major precious metal futures markets, namely, Gold, Silver, and Platinum. A strong contemporaneous relationship between investor sentiment and market returns has been found. In specific, commercial traders' sentiment acts oppositely to the price changes while that of non-commercial and non-reporting traders positively correlated with the market returns. However, the bivariate Granger causality test shows little evidence that investor sentiment index could lead market returns. On the other hand, market returns generally lead investor sentiment. Particularly, commercial traders are trend counters while non-commercial and non-reporting traders are trend followers. Extreme traders' position also fails to display significant forecasting ability of subsequent price movements. In general, the results do not support the use of investor sentiment as an indicator to predict price movements in precious metal futures markets. Nevertheless, we find that investor sentiment could play as a signal of buying or selling and the trading system is highly profitable compared to naïve long position in all of three markets.


Investor Sentiment and Forecasting Ability
Language: en
Pages: 41
Authors: Yang Zhang
Categories:
Type: BOOK - Published: 2017 - Publisher:

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Exploring the information contained in Commodity Futures Trading Commission's (CFTC) Commitments of Traders (COT) reports, this analysis investigates the foreca
Information Content and Forecasting Ability of Sentiment Indicators
Language: en
Pages: 48
Authors: Gianluca Marcato
Categories:
Type: BOOK - Published: 2014 - Publisher:

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We evaluate a number of real estate sentiment indices to ascertain current and forward-looking information content that may be useful for forecasting demand and
Stock Market Modeling and Forecasting
Language: en
Pages: 161
Authors: Xiaolian Zheng
Categories: Technology & Engineering
Type: BOOK - Published: 2013-04-09 - Publisher: Springer

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Stock Market Modeling and Forecasting translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a vi
Google Insights for Search, Investor Sentiment and Stock Market Returns
Language: en
Pages:
Authors: Felix Dietrich
Categories:
Type: BOOK - Published: 2011 - Publisher:

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The (time-series) frequencies of Google search terms that are possibly related to investor sentiment were transformed into a summary measure, using principal co
Essays on Modelling and Forecasting Stock Markets with Investor Sentiment
Language: en
Pages: 0
Authors: Chang Sun
Categories:
Type: BOOK - Published: 2021 - Publisher:

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